Journal articles on the topic 'Red River Land and Water Company'

<p>Surabaya River is very beneficial to Surabaya people as its water becomes the main source of PDAM (Perusahaan Daerah Air Minum of Regional Water Utility<br />Company). The existing indications on pollution in the flow of Surabaya River due to various activities at its riverbank must not be ignored. Therefore, a study on identifying the distribution of water quality of Surabaya River is required so as to be a reference for formulating control actions to river damage. Identification on water quality distribution was carried out based on the differences of land-use around the left and right sides of river. The research involved the variables of the qualities of river water and waste water thrown into the river, river characteris-tics, and land-use. The results of research demonstrated that the upstream water quality of Surabaya River was relatively better than the downstream. This statement was proven by the humans’ activities which were more intensively carried out at the downstream area. Numerous land-uses and great number of people living at the riverbank became the phenomena increasing pressures toward the decreasing quality of river water.</p>

Abstract Land surface heterogeneity and its effects on surface processes have been a concern to hydrologists and climate scientists for the past several decades. The contrast between the fine spatial scales at which heterogeneity is significant (1 km and finer) and the coarser scales at which most climate simulations with land surface models are generated (hundreds of kilometers) remains a challenge, especially when incorporating land surface and subsurface lateral fluxes of mass. In this study, long-term observational land surface forcings and derived solar radiation were used to force high-resolution land surface model simulations over the Arkansas–Red River basin in the Southern Great Plains region of the United States. The most unique aspect of these simulations is the fine space (1 km2) and time (hourly) resolutions within the model relative to the total simulation period (51 yr) and domain size (575 000 km2). Runoff simulations were validated at the subbasin scale (600–10 000 km2) and were found to be in good agreement with observed discharge from several unregulated subbasins within the system. A hydroclimatological approach was used to assess simulated annual evapotranspiration for all subbasins. Simulated evapotranspiration values at the subbasin scale agree well with predictions from a simple one-parameter empirical model developed in this study according to Budyko’s concept of “geographical zonality.” The empirical model was further extended to predict runoff and evapotranspiration sensitivity to precipitation variability, and good agreement with computed statistics was also found. Both the empirical model and simulation results demonstrate that precipitation variability was amplified in the simulated runoff. The finescale at which the study is performed allows analysis of various aspects of the hydrologic cycle in the system including general trends in precipitation, runoff, and evapotranspiration, their spatial distribution, and the relationship between precipitation anomalies and runoff and soil water storage anomalies at the subbasin scale.

Takes the Yellow River Delta as an example, this paper studies the characteristics of remote sensing imagery with dominant ecological functional land use types, compares the advantages and disadvantages of different image in interpreting ecological land use, and uses research results to analyse the changing trend of ecological land in the study area in the past 30 years. The main methods include multi-period, different sensor images and different seasonal spectral curves, vegetation index, GIS and data analysis methods. The results show that the main ecological land in the Yellow River Delta included coastal beaches, saline-alkaline lands, and water bodies. These lands have relatively distinct spectral and texture features. The spectral features along the beach show characteristics of absorption in the green band and reflection in the red band. This feature is less affected by the acquisition year, season, and sensor type. Saline-alkali land due to the influence of some saline-alkaline-tolerant plants such as alkali tent, Tamarix and other vegetation, the spectral characteristics have a certain seasonal changes, winter and spring NDVI index is less than the summer and autumn vegetation index. The spectral characteristics of a water body generally decrease rapidly with increasing wavelength, and the reflectance in the red band increases with increasing sediment concentration. In conclusion, according to the spectral characteristics and image texture features of the ecological land in the Yellow River Delta, the accuracy of image interpretation of such ecological land can be improved.

Abstract A weak constraint is introduced in ensemble Kalman filters to reduce the water budget imbalance that occurs in land data assimilation. Two versions of the weakly constrained filter, called the weakly constrained ensemble Kalman filter (WCEnKF) and the weakly constrained ensemble transform Kalman filter (WCETKF), are proposed. The strength of the weak constraint is adaptive in the sense that it depends on the statistical characteristics of the forecast ensemble. The resulting filters are applied to assimilate synthetic observations generated by the Noah land surface model over the Red Arkansas River basin. The data assimilation experiments demonstrate that, for all tested scenarios, the constrained filters produce analyses with nearly the same accuracy as unconstrained filters, but with much smaller water balance residuals than unconstrained filters.

Riuapa river is an integrated part of Waeriuapa Watershed that usefull for people around the area as agriculture irrigation, livestock, fresh water fish pond, and other domestic use for people activities. As an open watershed ecosystem, that flow into the sea, the river of Watershed was received various input from outside, either from upland to the estuary. Those input were domestic household waste, farming activities waste, and input from land erosion and land slide. The study was conducted to identify water quality through polutant level measurement, in the river and in the flood plain, especially for Chemical polutant element. Red waste, farming activities waste, and input from land erosion and land slide. The study was conducted to identify water quality through polutant level measurement, in the river and in the flood plain, especially for Chemical polutant element. Result of analisys using Statistical Analisys, namely, Factorial Design in Randomized Completly Design (3x2x3), as follows: Location of station in the river and Season factor was significant influence the chemical variable of BOD, COD, Nitrite, and Chlor in the river, and shallow well as well, at the level of beyond National Water Quality Standard, and affected environmental around the area. Changging of upper land cover of Waeriuapa Watershed was significant effected to water debit, fluctuation of rainfall and effected to liquidity process of water quality, that increase of BOD from 2.9 mg/l in dry season to 4.6 mg/l in rainy season; COD from 2.9 in dry season to 21.3 mg/l in rainy season; Nitrite content of 0.0001 mg/l in dry season to 0.0022 mg/l in rainy season.

Red tides and eutrophication have been frequently observed over the past two decades in coastal waters around Hong Kong, which are caused by many factors and one of them is the nutrient from nonpoint source pollution (NSP). This paper concentrates on the nutrients carried by river flow from watersheds. Since there are no systematical data sets of nonpoint source pollution in Hong Kong, monthly river water quality measurements, rainfall and river flow data, land uses, and other related information are used to analyze the characteristics of NSP and estimate the nutrient loads for Hong Kong region. Main achievements are as follows: firstly, besides mean concentration for single land use, the concept of integrated mean concentration for mixed land uses was proposed and applied. Secondly, mean concentrations were carried out for different land uses (agriculture, town, grassland, shrubland and woodland), each Water Control Zone, and Hong Kong region. Thirdly, the annual nutrient loads were estimated, for the first time in this paper, with various methods for the whole area of Hong Kong, and about 8,000 tons of TN and 1,500 tons TP are transported into coastal waters from Hong Kong's land in 1998.

Mining and copper production in Bor, in the past hundred years, had a huge impact on the environment of town, but also in a wide region. In the area of Bor, in the zone of Mining and Smelting Company (RTB) activity, over 29,000 ha of land under forests and fields is degraded. The area of degraded agricultural land in the Bor municipality is over 60% of total agricultural land. Wastewater, generated in the sites of RTB Bor, pollute the Bor River and Krivelj River, which still flow into the Timok River and Danube River. These pollutions are often presented by low pH value, increased content of heavy metal ions, suspended particles and fine particles of flotation tailings, which is deposited in the valleys of these rivers on the area of over 2000 hectares. During the decades of exploitation of ore from the open pit Bor at different locations ("Visoki Planir" - also called ?Ostreljski planir?, "Severni planir" dump of ore body "H" (RTH)) gangue and tailings were delayed. The largest amount of tailings, about 150 million tons, was postponed on location Visoki planir. The effect of the mining waste and the impact of the whole process of processing copper ore to the final products on the environment, was conducted during the 4th study period of the project "Management of mining waste-tailing dump in the Bor region," supported by the Japan Society for the Promotion Science (Eng. Japan Society for the Promotion of Science) and the Japan international cooperation Agency and the Ministry of environment, Mining and Spatial planning of the Republic of Serbia. Influence of season on the level of pollutants in soil and water, the impact on water quality in the river Timok and the River Danube, was conducted during first three periods of project. This paper presents the results of the third study period. The third period of research, which was conducted over a period of 17. 10. 2012 to 17. 01.2013 year, included a review of pollution sources and define their impact on the environment. The study included the following sources of pollution: mining waste and drainage water originating from the active mine (Bor pit , field 1 Krivelj large tailings, flotation tailings in Bor RTH, metallurgical water), as well as the drainage water from the flotation tailings, which are no longer in operation (field 2 flotation tailings Great Krivelj, drainage water from the old Bor flotation tailings), the old inactive landfill mine gangue (Saraka landfill, Veliki planir - tailings from the old Bor mine, landfill mine gangue from mine RTH) and the city - urban waste water, which are discharged without treatment directly into the watercourse Bor River. Wastewater directly pollute Bor River and Krivalj River.

Newly protected areas often have land-use legacies that affect their capacity to deliver conservation outcomes into the future. The management actions required to achieve conservation outcomes may be uncertain. This uncertainty may be resolved through experimental adaptive management that draws on knowledge of the ecology and history of the ecosystem. In New South Wales, Australia, river red gum (Eucalyptus camaldulensis) floodplain forests were gazetted as National Park in 2010, including Murray Valley National Park. Land-use legacies had resulted in one-third of river red gum forests and woodlands occurring as high-stem-density (>400 stems ha−1) stands at the time of gazettal. High-stem-density stands are characterised by dominance of narrow straight trees, a paucity of large and hollow-bearing trees, modified understorey vegetation and reduced coarse woody debris. A simple state-and-transition process model captured knowledge of the processes that led to the high-stem-density river red gum forest state being widespread. We describe the establishment of a manipulative experiment to evaluate whether ecological thinning can achieve conservation outcomes in high-stem-density stands of river red gum floodplain forest. The experiment was designed to reduce intrastand competition for water and other resources, and encourage development of spreading tree crowns. Future results will inform management decisions in high-stem-density stands of river red gum floodplain forests. The adaptive management approach employed provides a template for using knowledge of the ecosystem to resolve uncertainty about management, particularly in newly protected areas.

The Bolivian river dolphin (Inia boliviensis), locally known as bufeo is an endemic species and categorized as Vulnerable in the Red Book of Vertebrates of Bolivia. Despite the fact that the Bolivian river dolphin is the only cetacean in land-locked Bolivia, knowledge about its conservation status and vulnerability to anthropogenic actions is extremely deficient. We report on the rescue and translocation of Bolivian river dolphins trapped in a shrinking segment of the Pailas River, Santa Cruz, Bolivia. Anthropogenic activities to alter the landscape and create agricultural land in the area include significant deforestation and irrigation channel construction and are likely to be a contributory factor causing the entrapment of these Bolivian River dolphins. The dolphins were trapped in shallow water in a 1 km section of river. Dry season water levels were rapidly falling and this section of river dried up completely. We collaborated with several institutions, authorities, and volunteers to translocate 26 Bolivian river dolphins, including calves, juveniles, and pregnant females. The dolphins were captured and transported using well-padded boats and vehicles and released into the Rio Grande. Each dolphin was accompanied by biologists who assured their welfare. No dolphins were injured or died during this process. If habitat degradation continue, it is likely that events in which river dolphins become trapped in South America may happen more frequently in the future.

Abstract. Sediment load can provide very important perspective on erosion of river basin. The changes of human-induced vegetation cover, such as deforestation or afforestation, affect sediment yield process of a catchment. We have already evaluated that climate change and land cover change changed the historical streamflow and sediment yield, and land cover change is the main factor in Red river basin. But future streamflow and sediment yield changes under potential future land cover change scenario still have not been evaluated. For this purpose, future scenario of land cover change is developed based on historical land cover changes and land change model (LCM). In addition, future leaf area index (LAI) is simulated by ecological model (Biome-BGC) based on future land cover scenario. Then future scenarios of land cover change and LAI are used to drive hydrological model and new sediment rating curve. The results of this research provide information that decision-makers need in order to promote water resources planning efforts. Besides that, this study also contributes a basic framework for assessing climate change impacts on streamflow and sediment yield that can be applied in the other basins around the world.

Belmore, in the City of Canterbury, is part of the traditional land of the Bediagal people. The area was once covered by a forest of Sydney blue gum, blackbutt, red mahogany and ironbark trees, growing on clay soils derived from Wianamatta shales. Water came from three small creeks, which flowed in a north-easterly direction into Cooks River.The earliest colonial surveyors followed an Aboriginal pathway (which became Punchbowl Road/Milperra Road) which led from Cooks River to Georges River. Before 1810, this pathway became a convenient access road from Sydney through Canterbury Farm, crossing Cooks River at the 'Punch Bowl' ford, and land grants were surveyed along the route. Once over the ford, travellers could turn south on a track, now Burwood Road at Belfield, and pass through country which is today's suburb of Belmore, south-east to King's Grove Farm and the land grants beyond. Canterbury Road was not formed as an access road into Sydney until after the 1830s, and it was not gazetted until 1856.

The Study, carried out Sukoharjo, deals with the effect of land function change from 1997 to 2002 toward the change of chosen hydrological parameters. The hydrological parameter constituses the coefficient runoff (C), the extra soil water (id), and the amount of constant stream (Wa). The process of land function the change is searched by using landsat image composit RGB (Red Green Blue) 452. Meanwhile, the aims of the study are (1) to determine the types and distribution for the process of land function change, and (2) to analyze the change of coefficient value runoff (C), the extra soil water (Id), and the amount of constant stream (Wa) within the area of research. The result of the study shown that there are many types of land function change, which occurred in almost all the area of research except the one type coming from the river becoming wet/dry rice field/residence/forest of which only occurred in Nguter sub district. The condition because of the straightening Bengawan Solo River in the sub district, cousequenly, the land function change proceses from the river into the land and vice versa. Moreover, of the 7 types of land function change in the area of research, the widest type of land function change covering the whole district is a change from forest/ horticulture/dry or wet rice field into residence. The effect of such a change has also caused a change in the characteristics of chosen hydrological parameter. Such a change can be seen from the value C, Id, and Wa. Furthermore, the change can be clarified as follow: the value C and Wa tend to rise while Id tends to decrease. This mean that the land function change has resulted in great abundant and decrease of water absorbed in the soil. In general, the availability of water source within the area can still be supplied from the seemingly increased constant stream. Such a condition might be caused by the ratio between the built land and the proportional open land of which about > 30 % of the whole space.

In recent years, short droughts in the dry season have occurred more frequently and caused serious damages to agriculture and human living in the Mekong River Delta of Vietnam (MRD). The paper attempts to quantify the trends of drought changes in the dry seasons from 2001 to 2015 in the region, using daily MODIS MOD09GQ and MOD11A1 data products. Here, we exploit the Temperature Vegetation Dryness Index (TVDI) to assess levels of droughts. For each image-acquisition time, the TVDI image is computed, based on the Normalized Difference Vegetation Index (NDVI), derived from red and near infrared reflectance data, and the Land Surface Temperature (LST), derived from thermal infrared data. Subsequently, a spatiotemporal pattern of drought changes is estimated, based on mean TVDI values of the dry seasons during the observed period, by a linear regression. As a result, the state of drought in the dry seasons in the MRD has mostly been at light and moderate levels, occupying approximately 62% and 34% of the total area. Several sub-areas in the center have an increased trend of drought change, occupying approximately 12.5% of the total area, because impervious surface areas increase, e.g., the obvious land use change, from forest land and land for cultivation for perennial trees being strongly converted to built-up land for residence and public transportation. Meanwhile, several sub-areas in the coastal regions have a negative trend of drought change because water and absorbent surface areas increase, e.g., most of land for cultivation for perennial trees has been converted to aquaculture land. These cases usually occur in and surrounding forest and wet land, also occupying approximately 12.5% of the total area.

Analyzing the trends in the spatial distribution of suspended sediment concentration (SSC) in riverine surface water enables better understanding of the hydromorphological properties of its watersheds and the associated processes. Thus, it is critical to identify an appropriate method to quantify spatio-temporal variability in SSC. This study aims to estimate SSC in a highly turbid river, i.e., the Red River in Northern Vietnam, using Landsat 8 (L8) images. To do so, in situ radiometric data together with SSC at 60 sites along the river were measured on two different dates during the dry and wet seasons. Analyses of the in situ data indicated strong correlations between SSC and the band-ratio of green and red channels, i.e., r-squared = 0.75 and a root mean square error of ~0.3 mg/L. Using a subsample of in situ radiometric data (n = 30) collected near-concurrently with one L8 image, four different atmospheric correction methods were evaluated. Although none of the methods provided reasonable water-leaving reflectance spectra (ρw), it was found that the band-ratio of the green-red ratio is less sensitive to uncertainties in the atmospheric correction for mapping SSC compared to individual bands. Therefore, due to its ease of access, standard L8 land surface reflectance products available via U.S. Geological Survey web portals were utilized. With the empirical relationship derived, we produced Landsat-derived SSC distribution maps for a few images collected in wet and dry seasons within the 2013–2017 period. Analyses of image products suggest that (a) the Thao River is the most significant source amongst the three major tributaries (Lo, Da and Thao rivers) providing suspended load to the Red River, and (b) the suspended load in the rainy season is nearly twice larger than that in the dry season, and it correlates highly with the runoff (correlation coefficient = 0.85). Although it is demonstrated that the atmospheric correction in tropical areas over these sediment-rich waters present major challenges in the retrievals of water-leaving reflectance spectra, the study signifies the utility of band-ratio techniques for quantifying SSC in highly turbid river waters. With Sentinel-2A/B data products combined with those of Landsat-8, it would be possible to capture temporal variability in major river systems in the near future.

Abstract In Romania, the living environment of salmonids is the mountainous and pre-mountainous waters, the alpine lakes and the reservoirs built on mountain rivers. Improving living conditions of salmonids involves work on stabilizing mountain water courses, regulating their flow, reducing the transport of alluviums. Salmoniculture includes concerns about artificial growth and amelioration of Salmonidae populations in special resorts called trout. The researches were carried out at SC Cascada Laur SRL Moroeni, a specialized breeding farm. Having a land with very poor agricultural potential, but conducive to the development of an aquaculture activity, on the Ialomita River, in 2007, the company decided to build a farm for the breeding and breeding of trout. The technical documentation has been carried out and the infrastructure of this economic unit has begun.The pond basins have a wooden trunk shape with dimensions of: 4.00 x 20m - 3 pools; 3.25 x 9.70m - 4 pools; 12.80mx 2 m - 1 pool and a pool of 12.00 x 6.00m. The main features of the buildings: - Soil basin (trowel), trout for breeding and fattening of the trout, waste water basin, incubation micro station, filter. Economic growth of salmonids: a viable alternative to protecting the natural resources of the planet; an important source of animal protein, easily digestible; have a determining role in maintaining human health; efficient valorization of feed; obtaining constant productions throughout the year; low crop areas, high growth densities, exploitation from the piscicultural point of mountain accumulation lakes and impassable land for agriculture; reduced expenses with the staff employed; meeting the demanding tastes of consumers.

The multitemporal behavior of soil loss by surface water erosion in the hydrographic basin of the river Mourão in the center-western region of the Paraná state, Brazil, is analyzed. Forecast was based on the application of the Universal Soil Loss Equation (USLE) with the data integration and estimates within an Geography Information System (GIS) environment. Results had shown high mean annual rain erosivity (10,000 MJ.mm.ha–1.h–1.year–1), with great concentration in January and December. As a rule, soils have average erodibilities, exception of Dystroferric Red Latisol (low class) and Dystrophic Red Argisol (high class). Although the topographic factor was high (>20), rates lower than 1 were predominant. Main land uses comprise temporal crops and pasture throughout the years. The watershed showed a natural potential for low surface erosion. When related to usage types, yearly soil loss was also low (<50 ton.ha–1.year–1), with more critical scores that reach rates higher than 150 ton.ha–1.year–1. Soil loss over the years did not provide great distinctions in distribution standards, although it becames rather intensified in some sectors, especially in the center-eastern and southwestern sections of the watershed.

Way Betung watershed is one of the important water resources in Lampung Province and it provides a clean water for Bandar Lampung City through a regional water supply company (PDAM). By the increase of population and economical activities of Bandar Lampung City, the need of clean water also increase, however by the time, the conditions of Way Betung watershed as water resources are declining. Therefore, to improve or to restore WayBetung watershed, a high cost is needed. The research was aimed: (a) to study the effects of Way Betung watershed land use change on the water resources of Bandar Lampung City, (b) to arrange the sustainable development of Way Betung watershed in order to maintain the availability of water resources. The sustainable developments of water resources of Way Betung watershed were arranged in five alternatives/scenarios and each alternative was related toits erosion (USLE method) and its run off volume (SCS method). The results showed that land use changes of Way Betung watershed (1991-2006) were likely to increase daily maximum discharge (Q max), to decrease daily minimum discharge (Q min), to increase fluctuation of river discharge, and to increase yearly run off coeffcient. The best sustainable development of water resources of Way Betung watershed, Lampung Province, was alternative/scenario-4 (forest as 30% of watershed areas + alley cropping in the mix garden). This alternative will decrease erosion to the level lower than tolerable soil loss and also decrease fluctuation of monthly run off.Keywords: Land use change, run off coefficient, water resources, watershed

The increasing serious droughts recently might have significant impacts on socioeconomic development in the Red River basin (RRB). This study applied the variable infiltration capacity (VIC) model to investigate spatio-temporal dynamics of soil moisture in the northeast, northwest, and Red River Delta (RRD) regions of the RRB part belongs to territory of Vietnam. The soil moisture dataset simulated for 10 years (2005–2014) was utilized to establish the soil moisture anomaly percentage index (SMAPI) for assessing intensity of agricultural drought. Soil moisture appeared to co-vary with precipitation, air temperature, evapotranspiration, and various features of land cover, topography, and soil type in three regions of the RRB. SMAPI analysis revealed that more areas in the northeast experienced severe droughts compared to those in other regions, especially in the dry season and transitional months. Meanwhile, the northwest mainly suffered from mild drought and a slightly wet condition during the dry season. Different from that, the RRD mainly had moderately to very wet conditions throughout the year. The areas of both agricultural and forested lands associated with severe drought in the dry season were larger than those in the wet season. Generally, VIC-based soil moisture approach offered a feasible solution for improving soil moisture and agricultural drought monitoring capabilities at the regional scale.

The paper presents an efficient methodology of water body extent estimation based on remotely sensed data collected with UAV (Unmanned Aerial Vehicle). The methodology includes the data collection with selected sensors and processing of remotely sensed data to obtain accurate geospatial products that are finally used to estimate water body extent. Three sensors were investigated: RGB (Red Green Blue) camera, thermal infrared camera, and laser scanner. The platform used to carry each of these sensors was an Aibot X6—a multirotor type of UAV. Test data was collected at 6 sites containing different types of water bodies, including 4 river sections, an old river bed, and a part of a lake shore. The processing of collected data resulted in 2.5-D and 2-D geospatial products that were used subsequently for water body extent estimation. Depending on the type of used sensor, the created geospatial product, and the type of the water body and the land cover, three strategies employing image processing tools were developed to estimate water body range. The obtained results were assessed in terms of classification accuracy (distinguishing the water body from the land) and geometrical planar accuracy of the water body extent. The product identified as the most suitable in water body detection was four bands RGB+TIR (Thermal InfraRed) ortho mosaic. It allowed to achieve the average kappa coefficient of the water body identification above 0.9. The planar accuracy of water body extent varied depending on the type of the sensor, the geospatial product, and the test site conditions, but it was comparable with results obtained in similar studies.

Most algorithms to extract dry snowpack water equivalent (SWE) from satellite passive-microwave observations are based on point measurements of SWE or extrapolation of point measurements to the 30 km footprint of the satellite observations. SWE observations on a scale comparable to the satellite observations can be obtained from airborne gamma-ray attenuation techniques from flight lines that are approximately 10 km long. During the winter of 1989, the NOAA National Operational Hydrologic Remote Sensing Center (NOHRSC) flew 92 of these night lines over a 200 × 250 km area of the Red River basin which is located in the north-central part of the United States of America. These observations provide a unique dataset of snow water-equivalent determinations on spatial scales similar to the satellite passive-microwave observations as acquired by the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I) F-8 satellite. Land-classification determinations from the Advanced Very High Resolution Radiometer (AVHRR) show that the eastern part of the region contains a coniferous forest of varying coverage, while the remainder is farmland or prairie. SSM/I data, including observations from a no-snow case in the preceding fall, the flight-line data and the AVHRR data were all co-registered to a common 20 km grid. The resulting dataset was analyzed using linear regression, artificial intelligence and general linear models. The results showed that the passive-microwave response was similar to the response predicted by Mie scattering theory. A comparison of the three techniques found that the artificial intelligence technique and the general linear model explained significantly more of the variance in the dataset, as evidenced by R2 values of 0.97 compared to 0.88 for the linear multiple-regression analysis. Hence, a neural network approach which was continually trained on new datasets as they became available, could provide better estimates of snowpack water equivalent than algorithms based on linear-regression techniques.

Most algorithms to extract dry snowpack water equivalent (SWE) from satellite passive-microwave observations are based on point measurements of SWE or extrapolation of point measurements to the 30 km footprint of the satellite observations. SWE observations on a scale comparable to the satellite observations can be obtained from airborne gamma-ray attenuation techniques from flight lines that are approximately 10 km long. During the winter of 1989, the NOAA National Operational Hydrologic Remote Sensing Center (NOHRSC) flew 92 of these night lines over a 200 × 250 km area of the Red River basin which is located in the north-central part of the United States of America. These observations provide a unique dataset of snow water-equivalent determinations on spatial scales similar to the satellite passive-microwave observations as acquired by the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I) F-8 satellite. Land-classification determinations from the Advanced Very High Resolution Radiometer (AVHRR) show that the eastern part of the region contains a coniferous forest of varying coverage, while the remainder is farmland or prairie. SSM/I data, including observations from a no-snow case in the preceding fall, the flight-line data and the AVHRR data were all co-registered to a common 20 km grid. The resulting dataset was analyzed using linear regression, artificial intelligence and general linear models. The results showed that the passive-microwave response was similar to the response predicted by Mie scattering theory. A comparison of the three techniques found that the artificial intelligence technique and the general linear model explained significantly more of the variance in the dataset, as evidenced byR2values of 0.97 compared to 0.88 for the linear multiple-regression analysis. Hence, a neural network approach which was continually trained on new datasets as they became available, could provide better estimates of snowpack water equivalent than algorithms based on linear-regression techniques.

AbstractSeneca sandstone is a fine-grained arkosic sandstone of dark-red coloration used primarily during the nineteenth century in Washington, DC. Several inactive Seneca sandstone quarries are located along the Potomac River 34 km NW of Washington near Poolesville, Maryland. Seneca sandstone is from part of the Poolesville Member of the Upper Triassic Manassas Formation, which is in turn a Member of the Newark Supergroup that crops out in eastern North America. Its first major public use is associated with George Washington, the first president of the Potomac Company founded in 1785 to improve the navigability of the Potomac River, with the goal of opening transportation to the west for shipping. The subsequent Chesapeake and Ohio Canal built parallel to the river made major use of Seneca sandstone in its construction and then facilitated the stone's transport to the capital for the construction industry. The most significant building for which the stone was used is the Smithsonian Institution Building or ‘Castle’ (1847–55), the first building of the Smithsonian Institution and still its administrative centre. Many churches, school buildings and homes in the city were built wholly or partially with the stone during the ‘brown decades’ of the latter half of the nineteenth century.

The protection of a water resource’s ecological environment is one of the most important tasks in the watershed in China. The evaluation of water resources carrying capacity (WRCC) is the foundation for the suitability of territorial space development. It is necessary to further analyze the weaknesses of the coordinated development of various dimensions of WRCC and explore the basis of territorial space development and optimization. This paper considers Chinese unique policy tasks, namely, “three water management together”, the types of main function areas, “red lines” control, and national spatial suitability evaluation, to construct the evaluation index system of WRCC. Monomial evaluation, integrated evaluation, and coupling coordination analysis methods are used separately to evaluate the carrying index, comprehensive carrying index, and coupling coordination degree of WRCC in the Qingjiang River Basin. The results show that: (1) As far as monomial evaluation is concerned, water resource supplies are often overloaded on the overall economy, industrial, and agricultural development; (2) The comprehensive indices of WRCC of the counties in the southwest are obviously better than that of the counties in the northeast; (3) The degree of coupling coordination of WRCC in the Qingjiang River Basin is not high, and is essentially in the primary or barely coordinated level; (4) the short board of WRCC in the Qingjiang River Basin presents obvious spatial characteristics, which from west to east are water environment, water resources and water ecology lagging, respectively. This paper measures WRCC for industry, agriculture, life, and ecology, which is helpful in promoting the suitability evaluation of land space development. Meanwhile, the case study of the Qingjiang River Basin provides reference for other regions to implement the “double evaluation”.

This research was carried out in Tha Chin Watershed in the central part of Thailand with attempts to apply multidisciplinary knowledge for understanding ecosystem structure and response to anthropogenic pollution and natural impacts leading to a proposal for an appropriate zonation management approach for sustainable utilization of the area. Water quality status of the Tha Chin River and Estuary had been determined by analyzing ecological, hydrological, and coastal oceanographic information from recent field surveys (during March 2006 to November 2007) together with secondary data on irrigation, land utilization, and socio-economic status.Results indicated that the Tha Chin River and Estuary was eutrophic all year round. Almost 100% of the brackish to marine areas reflected strongly hypertrophic water condition during both dry and high-loading periods. High NH4+ and PO43− loads from surrounding agricultural land use, agro-industry, and community continuously flew into the aquatic environment. Deteriorated ecosystem was clearly observed by dramatically low DO levels (ca 1 mg/l) in riverine to coastal areas and Noctiluca and Ceratium red tide outbreaks occurred around tidal front closed to the estuary. Accordingly, fishery resources were significantly decreased. Some riverine benthic habitats became dominated by deposit-feeding worms e.g. Lumbriculus, Branchiura, and Tubifex, while estuarine benthic habitats reflected succession of polychaetes and small bivalves. Results on analysis on integrated ecosystem responses indicated that changing functions were significantly influenced by particulates and nutrients dynamics in the system.Based on the overall results, the Tha Chin River and Estuary should be divided into 4 zones (I: Upper freshwater zone; II: Middle freshwater zone; III Lower freshwater zone; and IV: Lowest brackish to marine zone) for further management schemes on water remediation. In this study, the importance of habitat morphology and water flow regimes was recognized. Moreover, nearshore extensive shrimp culture ponds, irrigation canals, and surrounding mangrove habitats belonging to local households seemed to act as effective natural water treatment system that can yet provide food resources in turns. These remediation-production integrated functions should be deserved depth considerations for water quality development of the Tha Chin areas.

Abstract. The UP modelling system has been applied to the 570,000 km2 Arkansas-Red River Basin (ARRB) as part of the UK NERC Terrestrial initiative in Global Environmental Research (TIGER). The model can be run as a stand-alone basin hydrology model or be linked to existing climate and weather forecasting models. It runs on a grid comprising 1923 UP elements, each 17km by 17km in area, and each containing five water storage compartments: one each for the snowpack, vegetation canopy, surface water, root zone and groundwater. All the main transfers and processes of the terrestrial phase of the hydrological cycle are represented, including river network routing of the runoff from the UP elements. The parameters of the ARRB model are physically-based, being derived either from fine-scale, sub-grid, data on the topography and physical properties of the soils, aquifers and vegetation of the basin, or from the results of fine-scale physically-based simulations. With the approach, the parameters account for the effects of sub-grid variations in moisture status and spatial distribution and are sensitive to changes in the fine-scale property data. This sensitivity is either absent or less directly represented in existing large-scale hydrology models, yet it plays a central role in studies of the impact of changes in climate and land-use. The ARRB model, as described here and in Kilsby et al. (1999), is a first attempt at large-scale physically-based hydrological modelling of the type outlined in the "blueprint" for the UP system (Ewen, 1997), and gives a clear, positive, indication of the nature and quality of what is currently practical with the approach.

Pearl River Delta (PRD), as one of the most densely populated regions in the world, is facing both natural changes (e.g., sea level rise) and human-induced changes (e.g., dredging for navigation and land reclamation). Bathymetric information is thus important for the protection and management of the estuarine environment, but little effort has been made to comprehensively evaluate the performance of different methods and datasets. In this study, two linear regression models—the linear band model and the log-transformed band ratio model, and two non-linear regression models—the support vector regression model and the random forest regression model—were applied to Landsat 8 (L8) and Sentinel-2 (S2) imagery for bathymetry mapping in 2019 and 2020. Results suggested that a priori area clustering based on spectral features using the K-means algorithm improved estimation accuracy. The random forest regression model performed best, and the three-band combinations outperformed two-band combinations in all models. When the non-linear models were applied with three-band combination (red, green, blue) to L8 and S2 imagery, the Root Mean Square Error (Mean Absolute Error) decreased by 23.10% (35.53%), and the coefficient of determination (Kling-Gupta efficiency) increased by 0.08 (0.09) on average, compared to those using the linear regression models. Despite the differences in spatial resolution and band wavelength, L8 and S2 performed similarly in bathymetry estimation. This study quantified the relative performance of different models and may shed light on the potential combination of multiple data sources for more timely and accurate bathymetry mapping.

Runoff erosion capacity has significant effects on the spatial distribution of soil erosion and soil losses. But few studies have been conducted to evaluate these effects in the Loess Plateau. In this study, an adjusted SWAT model was used to simulate the hydrological process of the Xihe River basin from 1993 to 2012. The spatial variabilities between runoff erosion capacity and underlying surface factors were analyzed by combining spatial gradient analysis and GWR (Geographically Weighted Regression) analysis. The results show that the spatial distribution of runoff erosion capacity in the studying area has the following characteristics: strong in the north, weak in the south, strong in the west, and weak in the east. Topographic factors are the dominant factors of runoff erosion in the upper reaches of the basin. Runoff erosion capacity becomes stronger with the increase of altitude and gradient. In the middle reaches area, the land with low vegetation coverage, as well as arable land, show strong runoff erosion ability. In the downstream areas, the runoff erosion capacity is weak because of better underlying surface conditions. Compared with topographic and vegetation factors, soil factors have less impact on runoff erosion. The red clay and mountain soil in this region have stronger runoff erosion capacities compared with other types of soils, with average runoff modulus of 1.79 × 10−3 m3/s·km2 and 1.68 × 10−3 m3/s·km2, respectively, and runoff erosion power of 0.48 × 10−4 m4/s·km2 and 0.34 × 10−4 m4/s·km2, respectively. The runoff erosion capacity of the alluvial soil is weak, with an average runoff modulus of 0.96 × 10−3 m3/s·km2 and average erosion power of 0.198 × 10−4 m4/s·km2. This study illustrates the spatial distribution characteristics and influencing factors of hydraulic erosion in the Xihe River Basin from the perspective of energy. It contributes to the purposeful utilization of water and soil resources in the Xihe River Basin and provides a theoretical support for controlling the soil erosion in the Hilly-gully region of the Loess Plateau.

Small watersheds in the Canadian Prairies are characterized by seasonally disconnected hydrologic networks whereby stream channels are hydrologically connected during snowmelt but have disconnected reaches throughout the remainder of the year. Snowmelt is the most significant hydrological event in the Canadian Prairies, yet few studies have investigated the role of snowmelt in the nutrient budget of prairie streams. We quantified hydrologic and nutrient dynamics during snowmelt for ten agricultural subwatersheds distributed along a gradient of human activity in the Red River Valley, Canada, to evaluate the timing of nitrogen (N) and phosphorus (P) export. Elevated concentrations of total P (TP) and total N (TN) were observed during the snowmelt peak, with maximum concentrations reaching 3.23 mg TP L−1 and 18.50 mg TN L−1. Dissolved P and N dominated the total nutrient pool throughout snowmelt, likely due to reduced erosion and sediment transport resulting from the combination of the flat topography, frozen soil and stream banks, and gradual snow cover melt. Significant correlations were observed between snowmelt N load (r = 0.91; p &lt; 0.05) and both agricultural land cover and fertilizer usage, with a weaker correlation between snowmelt P load (r = 0.81; p &lt; 0.05) and agricultural area. Our results showed that snowmelt plays a key role in nutrient export to prairie aquatic ecosystems and this may have serious impacts on downstream ecosystems. Land use management practices need to consider the snowmelt period to control nutrient loads to Lake Winnipeg and other waterbodies in the Great Plains.

Abstract. The rapid population growth and the urge in people to move to big cities for their settlement upshot in urban expansion. While stepping into the corridor of the 21st century, the utility of remote sensing and GIS techniques in various fields has made things understandable and thus enhances the ways of investigation for better decision making and management. The paper presents the Landsat Satellite series based Land Surface Temperature retrieval concerning land use/ land cover changes over Lahore District, Punjab, Pakistan. The Spatio-temporal analysis was performed from 1980–2020. We availed high-resolution Landsat and Sentinel-2 Satellite imagery to perform Normalized Difference Vegetation Index and Supervised classification. Cloud-free satellite data was acquired from June, July, or August. Data pre-processing including atmospheric and terrain corrections were performed using ERDAS Imagine. The Red, NIR, and Thermal bands were utilized for LST estimation. ArcGIS 10.22 was used for making maps, analysis, and interpretations. The Spatio-temporal analysis of LULC and LST for the area indicates a great urbanization trend over the past forty years. People are migrating from small towns and villages to the metropolitan city of Pakistan for their livelihoods, and settlements. The built-up/urban land has expanded over the period with excessive construction that has affected the Land surface temperature. The area where human activity has increased shows higher LST’s as compared to green lands. The excessive construction has taken off the agricultural land, while the River Ravi still flows with a changing course and less water table. The COVID-19 pandemic hit in 2020 put everything on lockdown had an impact on environmental restoration due to fewer emissions and human activities. The overall classification accuracy of the images yielded substantial-high Kappa statistics of 80 %, 88%, 82%, 82.41%, and 87.76% for 1980, 1990, 2000, 2010, and the 2020 images, respectively. The unplanned urbanization is leading the Lahore District to serious environmental issues and climate change impacts. The need of the hour is to properly plan and manage the area for the coming generations to have a healthier and sustainable place to breathe in.

The model of Late Pleistocene-Holocene sequence stratigraphy of the subaqueous Red River delta and the adjacent shelf is proposed by interpretation of high-resolution seismic documents and comparison with previous research results on Holocene sedimentary evolution on the delta plain. Four units (U1, U2, U3, and U4) and four sequence stratigraphic surfaces (SB1, TS, TRS and MFS) were determined. The formation of these units and surfaces is related to the global sea-level change in Late Pleistocene-Holocene. SB1, defined as the sequence boundary, was generated by subaerial processes during the Late Pleistocene regression and could be remolded partially or significantly by transgressive ravinement processes subsequently. 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Climate change caused by global warming has resulted in an increase in average temperature and changes in precipitation pattern and intensity. Consequently, this has led to an increase in localized heavy rain which intensifies the uncertainty of the development of urban areas. To minimize flood damage in an urban area, this study aims to analyze the flood risk effect on buildings by ranking the risk of flood damage for each building type and sorting the long-term land use plan and the building type that requires particular consideration. To evaluate the flood risk of each building type, vulnerability analysis and exposure analysis were conducted in five regions of the Ulsan City. The vulnerability analysis includes determination of each building type by using the building elements which are sensitive to flood damage. In terms of the exposure analysis, environmental factors were applied to analyze the flood depth. The mapping based on the results from two analyses provided the basis for classifying the flood risk into five classes (green, yellowish green, yellow, orange, red). The results were provided in the urban spatial form for each building type. This analysis shows that the district near the Taehwa river is the area with the highest risk class buildings (red and orange class buildings). Notably, this area plays a pivotal functional role in administrating the Ulsan City and has a high density of buildings. This phenomenon is explained by city development which is centered around the lowland; however, given the high value of property, the potential risk is proven to be high.

Summary Buffalo field covers a large area on the southwestern flank of the Williston basin, in the northwest corner of South Dakota. In 1987, 8,000 acres of the field were divided into two units to initiate improved-oil-recovery (IOR) operations with two different methods: air injection and waterflooding. After collecting 19 years of production history, a technical and economic comparison has been made between the two projects to determine the relative success of both units. The technical performance was evaluated in terms of incremental oil recovery, ultimate recovery, and incremental recovery per volumes of fluid injected. Ultimate primary recovery was estimated using conventional decline-curve analysis on individual wells. Ultimate recovery was estimated by extrapolation of the current performance of the units, assuming the same actual development scheme and operating strategies. The economic comparison was performed in terms of net present value, incremental rate of return, and payout time. A sensitivity analysis on some of the key drivers of the project economics--specifically, oil price, operating cost, and capital investment--was also performed. Throughout the years, the west Buffalo Red River unit (WBRRU) under high-pressure air injection (HPAI) has technically outperformed its "twin," west Buffalo "B" Red River unit (WBBRRU), which is under waterflooding. Nevertheless, the waterflood project has shown greater economic benefit, which results primarily from the low oil prices (less than USD 20/bbl) experienced during most of their operating lives. This case study shows that for an air-injection project to be successful not only technically but also economically, a sufficiently high oil price (i.e., greater than USD 25/bbl) is needed, mainly because of the high operating costs and capital investment. Introduction Producing from thin, low-permeability oil reservoirs can be a very challenging issue, particularly when an efficient driving mechanism is lacking originally. Rapid depressurization makes primary production a very inefficient process; and low capacities limit the injectivities for potential IOR operations. This challenge was faced by several operators in Buffalo field since its discovery in 1954. During the early 1960s, it was recognized from the fast reservoir depletion that primary-recovery efficiency in the field would be very low, and water-injectivity tests were discouraging for future waterflood operations. During the late 1970s Koch Exploration Company (Koch) conducted an air-injectivity test and developed a pilot under HPAI. Because the pilot results were promising, the Buffalo Red River unit (BRRU) was formed (Fassihi et al. 1987; Erickson et al. 1993; SDDENR 2005). On the basis of the success of the BRRU air-injection project, another HPAI project was started in the early 1980s in the southern part of the field and was called the south Buffalo Red River unit (SBRRU) (Erickson et al. 1993; SDDENR 2005). Late in 1987, the western area of the field was divided into two parts to carry out two different IOR projects: an HPAI project in the WBRRU and a waterflood in the WBBRRU located to the west of the HPAI project in WBRRU, both of which are the subject of this paper.

Spiders are beneficial predators that respond to those land uses that modify their habitat. Cattle grazing is an extensive land use across northern Australian rangelands, yet the impact of grazing on spider habitat is poorly understood. In this study, we evaluated the way in which spider assemblages varied between grassland and savanna habitats in the Victoria River District of the Northern Territory, and also between dry and wet seasons in the savanna habitat. We also investigated changes in spider assemblages, and some common taxa, with distance from cattle watering points, which was used as a surrogate for a gradient in grazing intensity. Spiders were sampled using pitfall traps and sweep nets along two distance from water-grazing gradients. The first gradient was in savanna on calcareous red loam soils at Kidman Springs, and the second was in grassland on cracking black clays at Mount Sanford. Ordinations revealed that spider assemblages differed between grassland and savanna, and between the late-wet and late-dry seasons in savanna. Spider assemblages also markedly changed along the two distance-grazing gradients in response to habitat changes. For example, orb weavers in the family Araneidae increased in abundance as the cover of perennial grasses and litter increased with distance from water; this response was consistent for both grassland and savanna gradients. Patch type was also important to the distribution of spiders. For example, more individuals of Habronestes sp. were caught when the local habitat was patches of perennial grasses rather than patches of annual grasses and litter, bare ground, or tree-shrub canopy. These results suggest that spiders are good indicators of the habitat changes that may occur with grazing in the rangelands of Australia.

The massive development of floating plants in floodplain lakes and wetlands in the upper Middle Paraná river in the La Plata basin is environmentally and socioeconomically important. Every year aquatic plant detachments drift downstream arriving in small amounts to the Río de la Plata, but huge temporary invasions have been observed every 10 or 15 years associated to massive floods. From late December 2015, heavy rains driven by a strong El Niño increased river levels, provoking a large temporary invasion of aquatic plants from January to May 2016. This event caused significant disruption of human activities via clogging of drinking water intakes in the estuary, blocking of ports and marinas and introducing dangerous animals from faraway wetlands into the city. In this study, we developed a scheme to map floating vegetation in turbid waters using high-resolution imagery, like Sentinel-2/SMI (MultiSpectral Imager), Landsat-8/OLI (Operational Land Imager), and Aqua/MODIS (MODerate resolution Imager Spectroradiometer)-250 m. A combination of the Floating Algal Index (that make use of the strong signal in the NIR part of the spectrum), plus conditions set on the RED band (to avoid misclassifying highly turbid waters) and on the CIE La*b* color space coordinates (to confirm the visually “green” pixels as floating vegetation) were used. A time-series of multisensor high resolution imagery was analyzed to study the temporal variability, covered area and distribution of the unusual floating macroalgae invasion that started in January 2016 in the Río de la Plata estuary.

In this study, the recently launched Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) onboard the Advanced Land Observing Satellite-2 (ALOS-2), remote sensing data were used to map geologic structural and topographical features in the Kelantan river basin for identification of high potential risk and susceptible zones for landslides and flooding areas. A ScanSAR and two fine mode dual polarization level 3.1 images cover Kelantan state were processed for comprehensive analysis of major geological structures and detailed characterizations of lineaments, drainage patterns and lithology at both regional and district scales. Red-Green-Blue (RGB) colour-composite was applied to different polarization channels of PALSAR-2 data to extract variety of geological information. Directional convolution filters were applied to the data for identifying linear features in particular directions and edge enhancement in the spatial domain. Results derived from ScanSAR image indicate that lineament occurrence at regional scale was mainly linked to the N-S trending of the Bentong-Raub Suture Zone (BRSZ) in the west and Lebir Fault Zone in the east of the Kelantan state. Combination of different polarization channels produced image maps contain important information related to water bodies, wetlands and lithological units for the Kelantan state using fine mode observation data. The N-S, NE-SW and NNE-SSW lineament trends were identified in the study area using directional filtering. Dendritic, sub-dendritic and rectangular drainage patterns were detected in the Kelantan river basin. The analysis of field investigations data indicate that many of flooded areas were associated with high potential risk zones for hydro-geological hazards such as wetlands, urban areas, floodplain scroll, meander bend, dendritic and sub-dendritic drainage patterns, which are located in flat topograghy regions. Numerous landslide points were located in rectangular drainage system that associated with topographic slope of metamorphic and Quaternary rock units. Some large landslides were associated with N-S, NNE-SSW and NE-SW trending fault zones. Consequently, structural and topographical geology maps were produced for Kelantan river basin using PALSAR-2 data, which could be broadly applicable for landslide hazard mapping and identification of high potential risk zone for hydro-geological hazards.

Abstract. Retrieving total suspended solids (TSS) concentration accurately is essential for sustainable management of estuaries and coasts, which plays a key role in the interaction between hydrosphere, pedosphere and atmosphere. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions is still under research. In order to obtain a TSS remote sensing model that is suitable for estimating TSS concentrations with wide range in estuaries and coasts by Landsat imagery, after reviewing a number of Landsat-based TSS retrieval models and improving a comparatively better one among them, this study developed a quadratic model using the ratio of logarithmic transformation of red band and near-infrared band and logarithmic transformation of TSS concentration (QRLTSS) based on 119 in situ samples collected in 2006–2013 from five regions of China. It was found that the QRLTSS model works well and shows a satisfactory performance. The QRLTSS model based on Landsat TM (Thematic Mapper), ETM+ (Enhanced Thematic Mapper Plus) and OLI (Operational Land Imager) sensors explained about 72 % of the TSS concentration variation (TSS: 4.3–577.2 mg L−1, N = 84, P value < 0.001) and had an acceptable validation accuracy (TSS: 4.5–474 mg L−1, root mean squared error (RMSE) ≤ 25 mg L−1, N = 35). In addition, a threshold method of red-band reflectance (OLI: 0.032, ETM+ and TM: 0.031) was proposed to solve the two-valued issue of the QRLTSS model and to retrieve TSS concentration from Landsat imagery. After a 6S model-based atmospheric correction of Landsat OLI and ETM+ imagery, the TSS concentrations of three regions (Moyangjiang River estuary, Pearl River estuary and Hanjiang River estuary) in Guangdong Province in China were mapped by the QRLTSS model. The results indicated that TSS concentrations in the three estuaries showed large variation ranging from 0.295 to 370.4 mg L−1. Meanwhile we found that TSS concentrations retrieved from Landsat imagery showed good validation accuracies with the synchronous water samples (TSS: 7–160 mg L−1, RMSE: 11.06 mg L−1, N = 22). The further validation from EO-1 Hyperion imagery also showed good performance (in situ synchronous measurement of TSS: 106–220.7 mg L−1, RMSE: 26.66 mg L−1, N = 13) of the QRLTSS model for the area of high TSS concentrations in the Lingding Bay of the Pearl River estuary. Evidently, the QRLTSS model is potentially applied to simulate high-dynamic TSS concentrations of other estuaries and coasts by Landsat imagery, improving the understanding of the spatial and temporal variation of TSS concentrations on regional and global scales. Furthermore, the QRLTSS model can be optimized to establish a regional or unified TSS retrieval model of estuaries and coasts in the world for different satellite sensors with medium- and high-resolution similar to Landsat TM, ETM+ and OLI sensors or with similar red bands and near-infrared bands, such as ALI, HJ-1 A and B, LISS, CBERS, ASTER, ALOS, RapidEye, Kanopus-V, and GF.

Abstract. Since the 1990s the land subsidence due to the rapid urbanization has been considered a severely destructive hazard in the center of Hanoi City. Although previous studies and measurements have quantified the subsiding deformation in Hanoi center, no data exist for the newly established districts in the south and the west, where construction development has been most significant and where groundwater pumping has been very intensive over the last decade. With a multi-temporal InSAR approach, we quantify the spatial distribution of the land subsidence in the entire Hanoi urban region using ALOS images over the 2007–2011 period. The map of the mean subsidence velocity reveals that the northern bank of the Red River appears stable, whereas some areas in southern bank are subsiding with a mean vertical rate up to 68.0 mm yr−1, especially within the three new urban districts of Hoang Mai, Ha Dong – Thanh Xuan and Hoai Duc – Tu Liem. We interpret the spatial distribution of the surface deformation as the combination of the nature of the unsaturated layer, the lowering of groundwater in the aquifers due to pumping withdrawal capacity, the increase of built-up surfaces and the type of building foundation. The piezometric level in Qp aquifer lowers particularly after 2008, whereas the groundwater level in Qh aquifer remains steady, even if it loses its seasonal fluctuation in urban areas and drawdowns in neighboring water production plants. The time evolution deduced from the InSAR time series is consistent with previous leveling data and shows that the lowering rate of the surface slightly decreases till 2008. The analysis of groundwater levels in instrumented wells shows a correlation between the behavior of groundwater with the urban development and the acceleration of groundwater withdrawal. Also, the time variations suggest that the deformation became non-stationary, with upward and downward transient displacements related to the charge and discharge of the aquifers.

Chlorophyll-a (Chl-a) is a type of pigment is most common and predominant in all oxygen-evolving photosynthetic organisms such as higher plants, red and green algae. The concentrations of high chlorophyll-a (Chl-a) in coastal waters tend to be lower offshore due to land through river water runoff. The Madura Strait is one of the Indonesian basins that is widely used for fisheries activity, which directly impacts and puts quite high pressure on the aquatic resources. In addition, the development of urban areas and changes of land use in the hinterland areas of East Java Province due to increasing population are also intensive. The objectives of this research were: (1) to map the distribution of chlorophyll-a, its concentration and dynamics in the Madura Strait near the Pasuruan coastal area using remote sensing for both dry and rainy seasons, (2) figure out the influence of rivers or other oceanographic factors that may occur, and (3) calculate the accuracy of the estimation compared to the field data. The Landsat 8 OLI imagery was used to determine the concentration of Chl-a and analyze its seasonal spatial distribution pattern. The results show that (1) spatial distribution of chlorophyll-a (Chl-a), its concentration and dynamics in the Madura Strait waters near the Pasuruan coastal area varies between dry and rainy months or seasons, (2) input from rivers, waves, tidal level, and eddy circulation constitute the oceanographic parameters that influence the spatial distribution pattern of chlorophyll-a (Chl-a) in the Madura Strait waters near the Pasuruan coastal area, and (3) validation of the estimated Chl-a concentrations from Landsat 8 OLI using field data has shown RMSE value of 0.49.

<p><strong>Abstract.</strong> Vietnam has about 6648 irrigation reservoirs with a total capacity of about 60 billion cubic meters. Up until now, there are 1,129 reservoirs of all types in the Central Highlands, most of them are smaller than 1 million m3 (in particular, Kon Tum has 70 lakes and 99 lakes in Gia Lai). In recent years, due to vegetation cover changes, there are an increase in surface flow, surface erosion and sedimentation of reservoirs. Therefore, it is necessary to assess the impact of land use change on erosion and sedimentation in Dak Uy reservoir in the Sesan river basin.</p><p> The Sesan River flows through the Gia Lai and Kon Tum province in Vietnam before entering the Ratanakiri and Stung Treng province in Cambodia. The coordinates of the Sesan catchment area in Vietnam are 107&amp;deg;36'50'' to 107&amp;deg;40'58'' east longitude and 13&amp;deg;45'35'' to 15&amp;deg;15'38'' north latitude.</p><p> DakUy reservoir was built in geographical position 14&amp;deg;32'30 north latitude and 107&amp;deg;58'10" east longitude in Dak Uy commune, Dak Ha district, Kon Tum province. Dak Uy reservoir is located on Dak Uy river which is the first level branch of Krong PoCo river in the Sesan river basin, in village 6, DakUy commune, Dak Ha district, Kon Tum province. Location of the construction is on the east of National Highway 14 and 20&amp;thinsp;km from Kon Tum town to the North. Located on the right of the DakUy branch is the DakProng stream, and it is also the second level branch of the Krong PoCo river. Located on DakProng stream is Dak Prong reservoir.</p><p> The temperature varies between 19.7&amp;thinsp;&amp;deg;C and 24.2&amp;thinsp;&amp;deg;C. Rainfall begins in April with about 86&amp;thinsp;mm. The highest precipitation, of 482.4&amp;thinsp;mm, occurs in August. In December, rainfall declines sharply to about 1.5&amp;thinsp;mm. Cultivation is done mainly in the wet season, which increases soil erosion and run-off. Slopes lose from 100 to 200 tons of soil/hectare/year. This translates to a nitrogen loss of between 150 kilograms and 200&amp;thinsp;kg, a phosphate loss of between 30 kg to 60&amp;thinsp;kg, and a potassium loss of between 130&amp;thinsp;kg and 200&amp;thinsp;kg.</p><p> There are eight main soil groups on the Sesan catchment: The gley group (GI) covers 1,761&amp;thinsp;ha (0.15 percent of the area) in the northern districts except Dak Glei • The newly changed group (CM) covers 2,417&amp;thinsp;ha (0.21 percent) and is found in the Kon Tum, Dak Ha and Sa They districts • The gray group (X) covers 857,108&amp;thinsp;ha (73.76 percent) and is found throughout the region • The fluvial group (P) occupies 17,812&amp;thinsp;ha (1.53 percent) and is usually found in the downstream of rivers and in Dak To, Dak Glei districts and Kon Tum, Plei Ku cities • The alite group (A) covers 6,865&amp;thinsp;ha (0.59 percent) and is found in Dak Glei and Dak To • The yellow-red group (F) covers 227,159&amp;thinsp;ha (19.55 percent) and is found in Pleiku city, Kon Plong, Chu Pah, Dac Doa, Duc Co and Ia Grai districts • The slope group covers 11,312&amp;thinsp;ha (0.97%) and is found in Pleiku, Kon Tum, Chu Pah, Dac Doa, and Ia Grai • The bare topsoil (E) covers 23,966&amp;thinsp;ha (2.06 percent) and is found in Kon Tum, Ia Grai, and Sa Thay districts.</p><p> The results of using SWAT model to assess the impact of the land use change on the flow and erosion of the Sesan river basin according to the vegetation status of 1983, 1993 and 2005 are illustrated accordingly: Table 3.3: Calculated results according to SWAT model.</p><p> In the same basin, in 1983 and 1993, average annual rainfall across the basin was approximately equal (in 1993 the rainfall was greater than that in 1983 around 50&amp;thinsp;mm), but different land cover conditions gave different flow results. In 1993, the area of forest increased dramatically compared to 1983, both in terms of quantity and quality of forest, the peak flood was reduced and the total flow in flood season dropped significantly, whereas in the dry season, the figure also fell which indicated that the effect of planting is clear. Rain intensity of 1993 is smaller than that of 1983, hence the erosion in 1993 is lower than that of 1983.</p><p> In 2005, due to heavy deforestation, the area of forest in the basin was reduced and the area of cultivating fields rises compared to 1993, the flow increased compared to that of 1993. However, the reason of increasing flow and erosion It also resulted from the increase in annual average rainfall compared to 1993. The above results indicate that afforestation in the basin has created a good vegetation cover to reduce the possibility of washing away the nutrition of soil. Thus, the rain factor also plays an important role in forming the flow and causing erosion of the basin.</p><p> The factor of vegetation cover has a great impact on the ability to form runoff and erosion in the basin. The impact of forests on flows and sediments depends on the proportion of forest area in the basin and forest distribution in that area. According to the above results, the forest status in 2005 has better regulating effect if the forest coverage reaches about 60&amp;ndash;65%. Thus, if the forest coverage is increased to about 60&amp;ndash;80% for the whole region, it will increase the flow regulation ability, limit as much as possible erosion and soil washing away, protect soil, preserve water regulation ability, making rivers and streams have stable flow all year round, and creating many products from land and forests.</p><p> When changing the area used in the basin as above, there was a change in flood peak, the total flood in the dry season and flood season, plus erosion and nutrition. When changing the area of rich forest to non-forest, shrub or cultivation area, changes in flood peak as well as in flow volume was clear. Rich forests in the basin were mainly protection forests with a coverage of 60%. When converted to non-forest or shrub, the flow volume in the flood season increased 219.78&amp;thinsp;mcm (approximately 9.38%) while the flow volume in the dry season fell by 32.33&amp;thinsp;mcm (around 5.35%). The total erosion in the basin surface also rise 1.45 ton/ha (about 11.25%). This result prove that forest play integral parts in flood regulation and erosion reduction in the basin.</p><p> Calculated results from the model show that the level of erosion in the area corresponding to the forest status in 2005 compared to the figures of 1983 and 1993 is larger due to the change of the land cover in the basin, the area of non-forest area of 2005 decreased significantly compared to 1983 and 1993 (the figure for 1983, 1993 and 2005 was 53.68&amp;thinsp;km² (around 64.68%), 34.67&amp;thinsp;km² (equivalent to 41.78%), 28.64&amp;thinsp;km² (about 34.51%) respectively. According to the forest status statistics in 2005 compared to the forest status in 1983 and 1993, although there was an increase in forest type, the area was still small, area of non-forest or shrub remained large. Calculation results indicate that corresponding to 2005 forest status, the amount of suspended sediment to the lake is: G₀&amp;thinsp;=&amp;thinsp;2340 (ton/year), while with the 1983 forest status, the amount of suspended sediment to the reservoir is 2129 (ton/year) and the figure for 1993 is G&amp;thinsp;=&amp;thinsp;1828 (ton/ year), so when the forest area in the basin is reduced, the amount of sediment in the reservoir will increase, especially during the flood season. In the dry season, in general, when the forest area decreases, the flow tends to increase, the level of surface erosion also increases and this increase is significant in the flood season, while in other seasons, there is a tendency of more clearly reduction.</p><p> Altering the land use scenario in accordance with the current vegetation cover status or changing land use structure to assess the impact of land use changes and soil structure on the flow and erosion in the Sesan river basin. When changing the area of rich forest to non-forest, shrub or cultivation area, changes in flood peak as well as in flow volume was clear. When changing the area of each forest types into the cultivation land, which means changing from tree species with high water holding capacity to low water holding capacity, it increased flow during flood season and reduced flow in the dry season. Corresponding to the increase and decrease of flood in the flood season and dry season, the volume of erosion in the basin also changes as we change the forest area in the basin to different types of forests. When the forest has a large coverage, it will reduce rain intensity which causes erosion in the basin. It is clear that erosion increases when the level of human intervention is increased through land use processes in the basin.</p>

Evapotranspiration (ET) is widely employed to measure amounts of total water loss between land and atmosphere due to its major contribution to water balance on both regional and global scales. Considering challenges to quantifying nonlinear ET processes, machine learning (ML) techniques have been increasingly utilized to estimate ET due to their powerful advantage of capturing complex nonlinear structures and characteristics. However, limited studies have been conducted in subhumid climates to simulate local and spatial ETo using common ML methods. The current study aims to present a methodology that exempts local data in ETo simulation. The present study, therefore, seeks to estimate and compare reference ET (ETo) using four common ML methods with local and spatial approaches based on continuous 17-year daily climate data from six weather stations across the Red River Valley with subhumid climate. The four ML models have included Gene Expression Programming (GEP), Support Vector Machine (SVM), Multiple Linear Regression (LR), and Random Forest (RF) with three input combinations of maximum and minimum air temperature-based (Tmax, Tmin), mass transfer-based (Tmax, Tmin, U: wind speed), and radiation-based (Rs: solar radiation, Tmax, Tmin) measurements. The estimates yielded by the four ML models were compared against each other by considering spatial and local approaches and four statistical indicators; namely, the root means square error (RMSE), the mean absolute error (MAE), correlation coefficient (r2), and scatter index (SI), which were used to assess the ML model’s performance. The comparison between combinations showed the lowest SI and RMSE values for the RF model with the radiation-based combination. Furthermore, the RF model showed the best performance for all combinations among the four defined models either spatially or locally. In general, the LR, GEP, and SVM models were improved when a local approach was used. The results showed the best performance for the radiation-based combination and the RF model with higher accuracy for all stations either locally or spatially, and the spatial SVM and GEP illustrated the lowest performance among the models and approaches.

O presente trabalho consiste no diagnóstico do uso e ocupação do solo no entorno da Barragem Bico da Pedra, no município de Janaúba-MG, por meio de imagens de satélites do satélite Landsat 8 - sensor OLI, além de incursões em campo e levantamento bibliográfico sobre o tema estudado. As análises e avaliações realizadas indicam a presença do número de edificações no entorno da barragem do Bico da Pedra, construída em 1979, sob responsabilidade da Companhia de Desenvolvimento dos Vales do São Francisco e Parnaíba - CODEVASF. O reservatório foi construído com a finalidade de abastecimento humano da população dos municípios de Janaúba e Nova Porteirinha-MG, abastecimento do Perímetro de Irrigação do Gorutuba e perenização do rio Gorutuba, que outrora se encontrava em regime intermitente devido às condições ambientais da região em estudo. A partir de levantamento de dados históricos, foi possível detectar um aumento nos números de edificações motivado por diversos fatores, como a ausência de fiscalização e a prática do turismo. As consequências oriundas dessa ocupação podem gerar impactos ambientais negativos, tais como, desmatamento da Área de Preservação Permanente - APP, redução da biodiversidade, erosão do solo e poluição do corpo hídrico. Vale ressaltar que muitos desses impactos já são observados no entorno da Barragem Bico da Pedra. Portanto, este estudo, a partir do uso das Geotecnologias, traz informações sobre a forma e o processo de construção de imóveis residenciais no entorno da barragem do Bico da Pedra, bem como das consequências dessa ocupação. Palavras chaves: Ocupação, barragem, Degradação, Imagem de satélite, Sensoriamento Remoto AbstractThe present work consists on the diagnosis of the land use on the neighborhood of Bico da Pedra dam, in the municipality of Janaúba-MG, through images of satellite Landsat 8 - OLI sensor and incursions in the field and survey literature on the subject studied. The analysis and evaluations done indicates the increasement on the number of buildings close to Bico da Pedra dam, constructed in 1979, by responsibility of Development Company of the Valleys São Francisco e Parnaíba (CODEVASF). The water tank was constructed to fill up the people that live in Janaúba and Nova Porteirinha, provide water to Perimeter of Irrigation of Gorutuba e evergreening of Gorutuba river that once before was in intermittent regime caused by environmentals conditions of the region. From survey of historical data it was possible to detect an increase in the numbers of buildings caused by several factors, such as lack of supervision and the practice of tourism. The consequences of that occupation can cause negatives environmental impacts: deforestation of Permanent Preservation Area, reduction on biodiversity, land erosion and hydrous body pollution. It is important to emphasize that a lot of these impacts are already observed next to the Bico da Pedra dam, as well as the consequences of this occupation. Keywords: Occupation, watertank, degradation, Satellite Image, Remote Sensing

Although the Geological Survey of Canada (GSC) was founded in 1842, it was not until 1872, two years after the transfer of Hudson's Bay Company (HBC) lands to the Dominion of Canada, that the first GSC geologist, Director Alfred R. C. Selwyn, came to the western interior. One year later a drilling program he had been promoting in Ottawa saw two wells brought to completion and a third one started.During the period 1873-1875 five wells were drilled by or for the GSC at: Fort Garry (the first to be spudded and at 37 feet the shallowest), Shoal Lake, Rat Creek, Fort Carlton, and Fort Pelly (the deepest at 501 feet and the last to be abandoned). The main objective was to locate sources of water and coal for the future transcontinental railroad then planned to follow a northwesterly route from Winnipeg to Edmonton.Four wells were drilled with a rotary, diamond sieamdrill which had been used in the hard, coal-bearing rocks of Nova Scotia but proved unsuitable for penetrating the glacial drift, loose sands, and soft clays of the prairies.Besides having to deal with technical problems related to the transport of heavy equipment, a GSC drilling party became embroiled in a dispute between Government and Natives over land rights. After encountering an Indian blockade led by Chief Mistiwassis the crew retreated behind the stockade of HBC's Fort Carlton to drill a 175-foot well in August and September 1875.In 1874 an agreement was made between the GSC and John Henry Fairbank, Canada's most prominent oilman, for the drilling of a well at Fort Pelly. A percussion steamdrill, then in common use in the Petrolia, Ontario, oil fields, was the equipment of choice. Work at a drill site north of the fort in the Swan River valley started 25 August 1874 but on 30 October winter forced suspension. The stored equipment was used again the following year when drilling resumed on 6 July. The contracted 500 foot depth was exceeded by 1 foot on 9 October 1875 when the well was abandoned.

The main geoecological problems of protected areas within large cities and the reasons for their occurrence were researched on the example of the regional landscape park (RLP) “Lysa Gora” in Kiev. The absence of proper information about the importance and value of protected area in combination with the lack of funds for protection service raise a number of problems associated with non-compliance with environmental treatment area. In particular, visiting a park on private vehicle leads to destruction of rare plant species, animals deterrence, trampling natural vegetation. As a result of mass recreation of Kyiv residents during the holidays, solid waste pollution has a devastating effect on natural ecosystems. Burning fires leads to the death of Red Book and rare plant species, destruction of mountain steppe areas and all seed fund. In the tract area and around it formed the powerful centers of reproduction of invasive plants. Progressive erosion, landslides activate, degrade valuable meadow and deciduous plant communities. Illegal deforestation is happening in some Kyiv areas; the snow collected from city streets is stored in the protective zone of the river Lybid. Together with the snow a huge amount of debris, dirt and salt get into water and change the geochemical regime of surrounding area. Analysis of the above-mentioned and other negative influences and their implications for protected area allows to make a conclusion about the need for elimination or mitigation of the existing natural-using conflicts, particularly by establishing of park recreational capacity to prevent the destruction of especially valuable parcels natural components; functional zoning RLP area considering environmental, recreational, scientific, health, recreational, historical, cultural and other values; documentary consolidation of land plots with their strict subordination; establish effective penalties for areas special regime violations and excessive recreation load. In the future, the successful solution of the existing problems should conduct thorough research on functional zoning for the purpose of reserved kernel allocation, to implement measures for the resettlement of rare flora species and reintroduction of lost species, restoration of vegetation and more. Mapped scheme of main nature using conflicts within RLP is developed. A set of preventive and remedial measures to minimize existing conflicts and optimization of nature protection institutions in urban environment is proposed.

Can Gio mangrove forest (CGM) is located downstream of Ho Chi Minh City (HCMC), situated between an estuarine system of Dong Nai - Sai Gon river and a part of Vam Co river. The CGM is the largest restored mangrove forest in Vietnam and the UNESCO’s Mangrove Biosphere Reserve. The CGM has been gradually facing to numeric challenges of global climate change, environmental degradation and socio-economic development for the last decades. To evaluate sediment quality in the CGM, we collected 13 cores to analyze for sediment grain size, organic matter content, and trace element concentration of Cd, Cr, Cu, Ni, Pb, Zn. Results showed that trace element concentrations ranged from uncontaminated (Cd, Cu, and Zn) to very minor contaminated (Cr, Ni, and Pb). The concentrations were gradually influenced by suspended particle size and the mangrove plants.ReferencesAnh M.T., Chi D.H., Vinh N.N., Loan T.T., Triet L.M., Slootenb K.B.-V., Tarradellas J., 2003. 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This study aims at developing a regional algorithm to quantify chlorophyll-a concentration (Chla) in the Thac Ba Reservoir surface-water using Landsat 8 imagery basing on in-situ data of Chla and above-water reflectance taken in both dry and rainy seasons 2018. In situ datasets obtained from 30 water sampling sites show a strong correlation (R2=0.73) with the reflectance ratio of two Landsat 8 (L8) bands, the green band (band 3: B3) versus the red band (band 4: B4), B3 / B4, by an exponential equation. The algorithm for estimating Chla using this ratio was well-matched up the validation using multiple-dates in-situ datasets (R2 = 0.82; RMSE ~ 5%) and was then applied to L8 images level 2 acquired in both dry and rainy seasons to understand the spatiotemporal distribution of Chla over the reservoir. Obtained maps of Chla present clearly two trends: (1) Chla in the reservoir water in the dry season (averaged at 15.3 mg/m3) is relatively lower than those in the rainy season (averaged at 17.0 mg/m3); (2) In both seasons, Chla increased from water area in front of the Chay River mouth to the center of the reservoir. The algorithm and method outlined in this study could be applied to monitoring Chl in other inland waters having similar features as the Thac Ba Reservoir water.ReferencesAPHA, 1998. Standard Methods for the Examination of Water and Wastewater, 20th edition. American Public Health Association, Washington DC, 1220p.Bac N.A., Viet N.D., Ha N.T.T., Huong H.T.T., 2017. Identifying eutrophication status of shallow waters based on estimated trophic state index from satellite data. Journal of Science and Technology, 55(4C), 85-89.Bernardo N., Watanabe F., Rodrigues T., Alcântara E., 2017. 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Climate change induced sea-level rise (SLR) is on its increase globally. Regionally the lowlands of China, Vietnam, Bangladesh, and islands of the Malaysian, Indonesian and Philippine archipelagos are among the world’s most threatened regions. Sea-level rise has major impacts on the ecosystems and society. It threatens coastal populations, economic activities, and fragile ecosystems as mangroves, coastal salt-marches and wetlands. This paper provides a summary of the current state of knowledge of sea level-rise and its effects on both human and natural ecosystems. The focus is on coastal urban areas and low lying deltas in South-East Asia and Vietnam, as one of the most threatened areas in the world. About 3 mm per year reflects the growing consensus on the average SLR worldwide. The trend speeds up during recent decades. The figures are subject to local, temporal and methodological variation. In Vietnam the average values of 3.3 mm per year during the 1993-2014 period are above the worldwide average. Although a basic conceptual understanding exists that the increasing global frequency of the strongest tropical cyclones is related with the increasing temperature and SLR, this relationship is insufficiently understood. Moreover the precise, complex environmental, economic, social, and health impacts are currently unclear. SLR, storms and changing precipitation patterns increase flood risks, in particular in urban areas. Part of the current scientific debate is on how urban agglomeration can be made more resilient to flood risks. Where originally mainly technical interventions dominated this discussion, it becomes increasingly clear that proactive special planning, flood defense, flood risk mitigation, flood preparation, and flood recovery are important, but costly instruments. 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Climate change (CC) and its impacts on the socio-economy and the development of communities has become an issue causing very special concern. The rise in global temperatures, in sea levels, extreme weather phenomena, and salinization have occurred more and more and have directly influenced the livelihoods of rural households in the Red River Delta – one of the two regions projected to suffer strongly from climate change in Vietnam. For farming households in this region, the major and traditional livelihoods are based on main production materials as agricultural land, or aquacultural water surface Changes in the land use of rural households in the Red River Delta during recent times was influenced strongly by the Renovation policy in agriculture as well as the process of industrialization and modernization in the country. Climate change over the past 5 years (2005-2011) has started influencing household land use with the concrete manifestations being the reduction of the area cultivated and the changing of the purpose of land use.

Deep water paddy is a nature’s marvel for many ethnic communities living in flood prone river basins of some Asian and African countries. In recent times there is resurgence in interest on local land races in view of alarming depletion of agro-biodiversity and the urgency to preserve them. In Assam, the north eastern state of India, deep water paddy is being cultivated since time immemorial by several ethnic communities living in the Brahmaputra river basin. Although not properly enumerated, it is known that more than 70 land races of Bao Dhanexists. Moreover, recent works have revealed that contrary to general perception deep water paddy are rich in nutritional and nutraceutical values with 9% to 13% protein. Further interest on deep water paddy got a boost with the report that land races with red kernel (red rice) are rich in dietary antioxidant anthocyanin and study showed that they have impressive anti-oxidative activity in vitro. Deep water paddy or floating paddy popularly referred to as Bao dhan in Assam, represent a unique crop capable of withstanding diverse stress and man’s ingenuity to co-exist with hostile nature and weather condition. Owing to their antioxidant capacity and the associated health benefits, anthocyanins have gained increased attention in recent years, hence the study was initiated.

Giao Thuy located a coastal area, which has fully the characteristed of microclimate Red River delta. This study was conducted to detect the land cover changes from 2000 to 2015 and the causes. The changes are evaluated using Landsat data by method of land use classification combined with interviews. The results showed that most portion of the land cover class was crops land and land cover change was crops land decreases, forest land rises, aquaculture ponds increase, surface water reduces and unuse flat land area increases. The causes were policy issuses, market, economic, salinity intrusion, climate change and deposits alluvial.

A small mangrove colony growing for several decades on a mud flat on the left side of Balat River mouth has become today a large and healthy forest, containing a high ecosystem service value in the core of the Red River biosphere reserve. As a pioneer ecosystem located at land– water interface in the tropic, there exist always risks to mangroves, especially due to climate change and sea level rise. Sea level rise is a worldwide process, but subsidence is a local problem that can exacerbate these geo-hazards. A monitoring of shallow subsidence has been carried out by using SET-MH technique (developed by the United States Geological Survey) to track the both accretion and land sinking in the core zone of the National Park. The measurement shows the average sedimentation rate of 2.9 cm / yr and the sinking rate of 3.4 cm / yr, since Dec. 30th 2012. This is the first ground-based observation of shallow subsidence under mangroves in the Tonkin Gulf. As a simple and low cost method, so further expansion of this monitoring could provide more useful information to help identify the generally sinking trend of coastal areas in the Red River Delta and also to protect its own biosphere reserve.