Relevant bibliographies by topics / Pollution point sources

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Pollution point sources'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Pollution point sources"

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Kibble, Andrew, and Roy Harrison. "Point sources of air pollution." Occupational Medicine 55, no. 6 (September 1, 2005): 425–31. http://dx.doi.org/10.1093/occmed/kqi138.

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Paladino, Ombretta, Arianna Moranda, and Mahdi Seyedsalehi. "A Method for Identifying Pollution Sources of Heavy Metals and PAH for a Risk-Based Management of a Mediterranean Harbour." Scientifica 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4690715.

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A procedure for assessing harbour pollution by heavy metals and PAH and the possible sources of contamination is proposed. The procedure is based on a ratio-matching method applied to the results of principal component analysis (PCA), and it allows discrimination between point and nonpoint sources. The approach can be adopted when many sources of pollution can contribute in a very narrow coastal ecosystem, both internal and outside but close to the harbour, and was used to identify the possible point sources of contamination in a Mediterranean Harbour (Port of Vado, Savona, Italy). 235 sediment samples were collected in 81 sampling points during four monitoring campaigns and 28 chemicals were searched for within the collected samples. PCA of total samples allowed the assessment of 8 main possible point sources, while the refining ratio-matching identified 1 sampling point as a possible PAH source, 2 sampling points as Cd point sources, and 3 sampling points as C > 12 point sources. By a map analysis it was possible to assess two internal sources of pollution directly related to terminals activity. The study is the prosecution of a previous work aimed at assessing Savona-Vado Harbour pollution levels and suggested strategies to regulate the harbour activities.
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Xiang, Long, Zhong Bo Yu, Li Chen, Jia Ji He, Cheng Chen, and Xiao Lei Fu. "Evaluating the Characteristics of Hydraulic Driven Non-Point Source Pollution Loss in Agricultural Watershed." Applied Mechanics and Materials 212-213 (October 2012): 518–24. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.518.

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Non-point source (NPS) pollution is one of the major pollution sources in agricultural watershed, and the NPS pollution is the governing factor for polluting surface water. In this paper, series of hydrologic response units were set in various land-use plots to observe the runoff yields and NPS pollution yields from 2008 to 2010. The rainfall and fertilization were recorded in various types of land-use. Based on the long-term observation data, the characteristics of flow yield and critical precipitation intensities for generating runoff were quantified, and the hydraulic driven NPS pollutions (TN, TP) were analyzed temporally and spatially. The results show the flow yield is positive to total amount and intensity of precipitation and hillslope, but negative to vegetation canopy and Tillage intensity. Based on surface hydraulic conditions, the NPS pollution yield on various lands are calculated statistically. The seasonal fluctuations of NPS pollution yield rates are strongly related to flow production and human artificial fertilization. This work will enhance the understanding of NPS loss in agricultural watersheds.
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Dong, De Ming, Dong Mei Liang, Ji Li Ma, Yong Zhang, Ju Wang, and Chun Sheng Fang. "Research of Non-Point Source Pollution Quantity Discharged into the Source Area of Liao River." Applied Mechanics and Materials 295-298 (February 2013): 1643–46. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.1643.

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First, this paper estimates all kinds of non-point source pollutant emissions in the source areas of Liao river, then calculates the pollutant quantity discharged into the river from rural living sources, planting pollution sources, livestock and poultry breeding pollution sources and aquaculture pollution sources in detail in the source areas. The results of the paper could provide a scientific basis for making a far-reaching significant watershed management scheme.
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Ma, Jian, Xin Chen, and Yi Shi. "Distinguishing the Main Pollution Source an Efficient Way in Agricultural Non-Point Source Pollution Control." Advanced Materials Research 347-353 (October 2011): 2195–99. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2195.

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Agricultural non-point source (NPS) pollution is a growing environmental problem, contributing much to water eutrophication in China as well as in other parts of the world. NPS pollutants are heterogeneously distributed and discharged from agricultural lands and other sources, and extremely hard to control by technical measures. Hence, control of the water quality problems caused by agricultural NPS pollution becomes difficult if recommended best management practices (BMPs) can’t be well implemented. In this paper, current research progress related to distinguishing agricultural NPS pollution sources was reviewed. Three pivotal methods for identifying agricultural NPS pollution sources were introduced and the advantages and disadvantages of each approach were discussed. Finally suggestions were presented on better identifying agricultural NPS pollution sources in China.
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Langhammer, Jakub. "Evaluation of non-point sources of surface water pollution." Geografie 107, no. 1 (2002): 23–39. http://dx.doi.org/10.37040/geografie2002107010023.

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The non-point pollution sources represent an increasingly important component of the total pollution balance in the country as a result of a gradual reduction of the pollution load from point sources of surface water pollution. As this pollution component cannot be directly measured, various methods of calculation and modelling are used. The author has developed a new methodology for accurate evaluation of the spatial distribution of the pollution load from a river basin under the form of an empirical grid-based GIS model. The article describes this methodology and its application to the Berounka river basin with the aim to evaluate the spatial distribution of the load of the key pollution parameters.
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Schaffner, Monika, Hans-Peter Bader, and Ruth Scheidegger. "Modeling the contribution of point sources and non-point sources to Thachin River water pollution." Science of The Total Environment 407, no. 17 (August 2009): 4902–15. http://dx.doi.org/10.1016/j.scitotenv.2009.05.007.

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Su, Jing, Yanhua Qiu, Yuling Lu, Xiaosong Yang, and Songyan Li. "Use of Multivariate Statistical Techniques to Study Spatial Variability and Sources Apportionment of Pollution in Rivers Flowing into the Laizhou Bay in Dongying District." Water 13, no. 6 (March 12, 2021): 772. http://dx.doi.org/10.3390/w13060772.

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Spatial variability and source apportionment of river pollution flowing into the Bohai Sea are of great significance to the pollution liability and development of control strategies to reduce the terrestrial discharge of pollution in the ocean. In this study, ten water quality variables from 14 monitoring sites in rivers flowing into Laizhou Bay were obtained to investigate the spatial variation and pollution sources in Dongying District from 2018–2019. The survey area was divided into a low pollution (LP) zone and a high pollution (HP) zone by cluster analysis based on ten indicators. Principle component analysis/factor analysis with a geographic information system was performed to identify the four main pollution sources in the survey area. Compared with the positive matrix factorization model, the absolute principal component score-multiple linear regression (APCS-MLR) model was more appropriate for the source apportionment of pollution in the surface water of Dongying District. The point source pollution of domestic sewage (23.6%) was the most crucial pollution source of water in the LP zone, followed by non-point pollution from agricultural activity (16.4%). The contribution rate in the HP zone analyzed by the APCS-MLR model followed a decreasing order: point source pollution from domestic sewage (28.5%) > non-point pollution source of overland runoff (14.8%) > point source pollution of hybrid wastewater (12.4%) > point source pollution from industries sewage (10.6%). Therefore, the spatial distribution and sources of pollution in the investigated area should be considered while developing control measures to reduce the discharge of pollution to Laizhou Bay.
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Wang, Wen Yong, Bo Jun Ke, and Gao Ping Fu. "The Emission Inventory Complication of Air Pollution Sources of Chengdu Urban Agglomerations." Advanced Materials Research 807-809 (September 2013): 204–14. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.204.

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This thesis has provided a detailed survey of the basic situation of air pollution sources (point sources, non-point sources and line sources) in Chengdu urban agglomeration and calculated the pollutant emissions for each type of pollution sources by using the pollution source monitoring data (on-line monitoring and routine monitoring) or emission factor method. A temporal allocation has been carried out for the emissions of each type of sources (point sources, non-point sources and line sources) according to the production characteristics of the industrial enterprises which discharge air pollutants, the working and living law of human being and driving rules of vehicles. As for the spatial allocation of pollution sources, enterprises with confirmed location have been located by their latitude and longitude. For pollution sources whose location is unknown, their spatial allocation has been carried out and a detailed emission inventory of the pollution sources has been compiled on the basis of the population ratio of each grid and GDP output ratio, which provides basis data for the air quality stimulation and policy-making for prevention and control of air pollution of urban agglomeration.
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Yang, Dong Fang, Feng You Wang, Hua Zhong He, You Fu Wu, and Si Xi Zhu. "Effect of Hg on Jiaozhou BayWaters – The Change Process of the Hg Pollution Sources." Advanced Materials Research 955-959 (June 2014): 1443–47. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1443.

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Based on investigation data in Jiaozhou bay waters from 1979 to 1985(absent of 1984), this paper tried to anylysis the horizontal distributions and pollution sources and characteristics of Hg in Jiaozhou Bay. The results showed that, the horizonal distributions of Hg in surface water of Jiaozhou Bay showed decreasing trends from river flow direct, and the major pollution source of Hg was point source, whose pollutants were transferred by stream discharge. Under the influences of point source pollution, the Hg concentrations in surface waters could range from 0.46-13.04 μg.L-1; while under the influences of ocean current itself, the concentration of Hg in bay mouth area could range from 0.46-13.04 μg.L-1. The pollution sources of Hg in Jiaozhou Bay could be catagoried as two levels as high-pollution sources and non-pollution sources, due to Hg in this bay was mainly impacted by point source. It is necessary to enhance the recovery ratio of Hg, and to reduce the discharge of Hg.
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Dissertations / Theses on the topic "Pollution point sources"

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Taylor, Michael A. "Tradable permit markets for the control of point and nonpoint sources of water pollution technology-based collective performance-based approaches /." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1059077005.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xi, 465 p.; also includes graphics. Includes abstract and vita. Advisor: Allan Randall, Interdisciplinary Program. Includes bibliographical references (p. 161-165).
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Cziesch, Jarrett. "An Introduction to Identifying Nonpoint Sources of Water Pollution Using a Modified Land Use Conflict Analysis Identification Strategy (LUCIS) Model, Non-point Source Identification Strategy: NPSIS." The University of Arizona, 2015. http://hdl.handle.net/10150/576109.

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This paper examines the Non-Point Source Identification Strategy (NPSIS); a modification of the Land Use Conflict Identification Strategy (LUCIS): NPSIS is a raster model useful for identifying non-point sources of water pollution from three known contributors (agriculture, domestic, and natural background). By using a standard operating procedure, developers are able to create standardized datasets useful for identifying non-point sources of water pollution throughout the contiguous United States. The NPSIS model process requires the use of three “non-point source water pollution” contributors. A contributor is termed as a Non-Point Category (NPC) that contains collective elements (i.e. nutrient applications for agricultural purposes and urban runoff from highly developed areas). Using a survey, water resource professionals familiar with chosen study areas rank each NPC element according to potential impact to water quality. Following the survey, raster datasets that represent each NPC and impact to water quality are created using a lowest to highest (“1-9”) ordinal rank system derived from survey results after which each dataset is normalized using a (“1-3”) ordinal rank. Finally, the normalized NPC datasets are combined into one final model useful for identifying each dominant NPC by rank and location within a specified USGS watershed. In conclusion, the modifications to the LUCIS method yields results beneficial for identifying non-point source loads of water pollution.
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van, der Kamp Jonathan [Verfasser]. "Social cost-benefit analysis of air pollution control measures - Advancing environmental-economic assessment methods to evaluate industrial point emission sources / Jonathan van der Kamp." Karlsruhe : KIT Scientific Publishing, 2017. http://www.ksp.kit.edu.

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Thomason, Krista A. "Trends Analysis and a Yearly Comparison of Point Sources of Atmospheric Mercury Using HYSPLIT Back Trajectories Focused in Athens, Ohio." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1557161272706908.

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Doležalová, Šárka. "Ekotoxikologické posouzení bodových zdrojů znečištění v ekosystému." Doctoral thesis, Vysoké učení technické v Brně. Fakulta chemická, 2018. http://www.nusl.cz/ntk/nusl-385282.

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The main subject of this dissertation is the ecotoxicological evaluation of significant point sources of pollution. These include wildfires and wide fires of factories and also industrial and urban wastewater treatment plants. The local application of pyrolytic product obtained from sewage sludge as the point source of pollution was also included in the thesis. Tests in aquatic and contact arrangement with using both water and soil organisms for ecotoxicity evaluation of selected matrices were chosen. Crustaceans Thamnocephalus platyurus, Daphnia magna Straus and sea bacteria Vibrio fischeri were selected as representative organisms of water animals. Duckweed Lemna minor was chosen as water plant. Further collembola Folsomia candida and earthworm Eisenia fetida were chosen as representatives of soil animals. Finally onion Allium cepa L. and mustard Sinapis alba are representatives of terrestrial plants. Submitted thesis deals about analytes of interest, their properties and ways of distribution to the environments. The output of the thesis is a comprehensive assessment of the effects of selected point sources of pollution on aquatic and terrestrial ecosystems organisms and ecotoxicological risks assessment. The fire extinguishing agents have been proven to be the most stressful substances for all selecteded organisms.
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O'Shea, Lucy. "Essays in environmental policy, biotechnology and non-point source pollution." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403815.

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Koo, Bhon Kyoung. "Agricultural non-point source nitrate pollution control by land use optimisation." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268366.

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Malone, Patrick R. "Identifying and Managing Impacts of Point and Non-Point Source Pollution on Surface Water Quality." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/513.

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Surface waters can be impacted by point and non-point source (NPS) pollution including stormwater culverts, runoff, and septic systems. It is important to develop water quality monitoring plans that can be implemented within resource constraints while still providing useful data. The goal of this research was to develop a sampling strategy to identify the impacts of point and NPS pollution on surface waters. This research incorporates water quality monitoring, land use data, precipitation data, and statistical modeling to improve understanding of pollutant impacts on surface waters. Research was conducted at a 152-acre private lake in western Massachusetts. Lake water samples were collected approximately twice per month over 12 months at ten sample locations selected to isolate land uses, including (1) shoreline samples adjacent to homes with septic systems, (2) shoreline samples at stormwater discharge sites, and (3) control samples at the lake influent, lake effluent, and a private beach. Sampling events included dry and wet weather conditions. Water samples were analyzed for physical, chemical, and microbiological parameters including: pH, conductivity, dissolved oxygen, turbidity, alkalinity, nutrients, anions, organic carbon, and microbial indicators (total coliform, E. coli, enterococci, male-specific and somatic coliphages). The data were statistically analyzed to determine how land use, season, and precipitation affect the risk of contamination to surface waters. Results indicated significant water quality variations by land use, season, and precipitation and identified important correlations between water quality parameters.
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Brookes, Peter Robert. "Detoxification of point source industrial wastewater using an Extractive Membrane Bioreactor (EMB)." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364062.

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Wolyniak, Brian John. "Quantifying the Potential for Non-Point Source Pollution in Model Urban Landscapes." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/36330.

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The contribution of non-point source pollution to degrading surface water quality is considerable throughout Virginia and beyond. While research on agricultural best management practices in nutrient management and nutrient and soil stabilization has made progress in reducing agricultural contributions to nutrient and sediment loading of watersheds, little is known about how land covers of different vegetation representative of urban areas (e.g., bare soil versus turfgrass lawns versus urban forest) influence the potential for non-point source pollution. Ambient rainfall volumes were manipulated to provide 50%, 100%, and 150% of natural precipitation to plots with landscape covers of bare soil, shredded wood mulch, turfgrass, and simulated urban forest (complete pin oak canopy with shredded hardwood leaf mulch). Precipitation amounts, runoff volumes, and eroded sediment masses for ten rain events between July and December 2004 were measured. Runoff was analyzed for nitrate and orthophosphate concentrations for three rain events. Turfgrass was found to be the most effective of the land covers tested at reducing components of non-point source pollution from stormwater. Turfgrass plots produced, on average, the least runoff and sediment, and lower nitrate concentrations in runoff water as compared to the other land covers tested. Results from urban forest plots apparently reflected the disturbance of tree planting, even six months later. This study contributes to a sparse body of knowledge about the influences of urban landscapes on water quality, and will inform land use policy and urban Best Management Practices.
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Books on the topic "Pollution point sources"

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Arnold, Forest D. Analysis of pollutant discharges from West Coast point sources. Rockville, Md: National Oceanic and Atmospheric Administration, Strategic Assessment Branch, 1988.

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Puckett, Larry J. Nonpoint and point sources of nitrogen in major watersheds of the United States. Reston, Va: U.S. Geological Survey, 1994.

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Puckett, Larry J. Nonpoint and point sources of nitrogen in major watersheds of the United States: Introduction. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Misstear, B. D. R. Optimal monitoring of air quality in the vicinity of point sources: Literature review. Johnstown Castle, Co. Wexford: Environmental Protection Agency, 2001.

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Misstear, B. D. R. Optimal monitoring of air quality in the vicinity of point sources: Final report. Johnstown Castle, Co. Wexford: Environmental Protection Agency, 2001.

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Misstear, B. D. R. Optimal monitoring of air quality in the vicinity of point sources: Synthesis report. Johnstown Castle, Co. Wexford: Environmental Protection Agency, 2001.

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Beskenis, Joan L. Investigation of bacterial sources of fecal contamination to the North River, 1987. Westborough, MA: Massachusetts Division of Water Pollution Control, Technical Services Branch, 1990.

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Petersen, William B. User's guide for PAL 2.0, a gaussian-plume algorithm for point, area, and line sources. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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Petersen, William B. User's guide for PAL 2.0, a gaussian-plume algorithm for point, area, and line sources. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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Petersen, William B. User's guide for PAL 2.0, a gaussian-plume algorithm for point, area, and line sources. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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Book chapters on the topic "Pollution point sources"

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Bigalke, Klaus. "A New Method for Incorporating Point Sources Into Eulerian Dispersion Models." In Air Pollution Modeling and Its Application IX, 651–60. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3052-7_65.

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Ulke, Ana G., and Nicolás A. Mazzeo. "A Dispersion Model for Ground-Level and Elevated Releases from Continuous Point Sources." In Air Pollution Modeling and Its Application XII, 729–30. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-9128-0_87.

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Nichol, Janet E., Muhammad Bilal, Majid Nazeer, and Man Sing Wong. "Urban Pollution." In Urban Informatics, 243–58. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_16.

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AbstractThis chapter depicts the state of the art in remote sensing for urban pollution monitoring, including urban heat islands, urban air quality, and water quality around urban coastlines. Recent developments in spatial and temporal resolutions of modern sensors, and in retrieval methodologies and gap-filling routines, have increased the applicability of remote sensing for urban areas. However, capturing the spatial heterogeneity of urban areas is still challenging, given the spatial resolution limitations of aerosol retrieval algorithms for air-quality monitoring, and of modern thermal sensors for urban heat island analysis. For urban coastal applications, water-quality parameters can now be retrieved with adequate spatial and temporal detail even for localized phenomena such as algal blooms, pollution plumes, and point pollution sources. The chapter reviews the main sensors used, and developments in retrieval algorithms. For urban air quality the MODIS Dark Target (DT), Deep Blue (DB), and the merged DT/DB algorithms are evaluated. For urban heat island and urban climatic analysis using coarse- and medium- resolution thermal sensors, MODIS, Landsat, and ASTER are evaluated. For water-quality monitoring, medium spatial resolution sensors including Landsat, HJ1A/B, and Sentinel 2, are evaluated as potential replacements for expensive routine ship-borne monitoring.
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Jayakumar, R., S. Dhanakumar, K. Kalaiselvi, and M. Palanivel. "Water Pollution in the Vicinity of Stanley Reservoir by Point and Non-point Sources, Cauvery Basin, India." In Environmental Management of River Basin Ecosystems, 491–505. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13425-3_23.

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Dosi, Cesare, and Naomi Zeitouni. "Controlling Groundwater Pollution from Agricultural Non-point Sources: an Overview of Policy Instruments." In Agricultural Use of Groundwater, 129–55. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9781-4_6.

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Barnett, R. Joel, Glen E. Johnson, and Karl B. Schnelle. "A Nonlinear Programming Search Technique to Locate Position and Magnitude of the Maximum Air Quality Impact from Point Sources." In Air Pollution Modeling and Its Application IV, 689–702. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2455-3_36.

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Sedefian, Leon, Michael Ku, Kevin Civerolo, Winston Hao, and Eric Zalewsky. "Regional Refined Grid Modeling of Acidic and Mercury Deposition over Northeastern US and the Contribution of New York Power Point Sources." In Air Pollution Modeling and its Application XXV, 445–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57645-9_70.

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He, Chansheng, Carlo DeMarchi, Weichun Tao, and Thomas H. Johengen. "Modeling Distribution of Point and Nonpoint Sources Pollution Loadings in the Saginaw Bay Watersheds, Michigan." In Geospatial Tools for Urban Water Resources, 97–113. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4734-0_6.

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Megharaj, Mallavarapu, Peter Dillon, Ravendra Naidu, Rai Kookana, Ray Correll, and W. W. Wenzel. "Pollution: Point Source." In Landscape and Land Capacity, 175–81. Second edition. | Boca Raton: CRC Press, [2020] | Revised edition of: Encyclopedia of natural resources. [2014].: CRC Press, 2020. http://dx.doi.org/10.1201/9780429445552-27.

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Armon, Robert H., and Janetta Starosvetsky. "Point Source Pollution Indicators." In Environmental Indicators, 495–99. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9499-2_29.

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Conference papers on the topic "Pollution point sources"

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ZHAO, Wei, Chun-li JIANG, Hong-jun SONG, Guang-qing ZENG, and Biao HAN. "Forecasting the pollution load of non-point sources to the Jiuzhou River." In The 2015 International Conference on Materials Engineering and Environmental Science (MEES2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814759984_0076.

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Tian, Xiaogang, Xizhen Ren, Meiting Ju, Chaofeng Shao, and Zili Fang. "A Model-Centered Planning Methodology for Point Pollution Sources Control around the River Bank." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998647.

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Selma Ç Ayaz, Özgür Aktas, Sönmez Dagli, and Lütfi Akça. "Point and Diffuse Sources of Pollution and Surface Water Quality in Marmara Basin of Turkey." In 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, May 27-June 1, 2012, Bari, Italy. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41407.

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Ferguson, D. M., M. H. Zhowandai, M. A. Getrich, D. F. Moore, A. Lissner, R. Haimann, and D. W. Linger. "Bacteriological monitoring studies to identity sources of fecal pollution at Baby Beach, Dana Point Harbor, California." In Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). IEEE, 2003. http://dx.doi.org/10.1109/oceans.2003.178349.

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Mihalova, Lucia. "EFFECT OF POINT SOURCES OF WATER POLLUTION ON THE QUALITY OF WATER BODIES IN TREBISOV REGION." In 14th SGEM GeoConference on ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b52/s20.032.

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Bian Bo and Wang Hui Zhong. "Research on composite of pre-reservoirs technology for the removal of SS in non-point sources pollution." In 2011 Second International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2011. http://dx.doi.org/10.1109/mace.2011.5987706.

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Zhang, Yachen, Lubo Liu, Jing Cao, Liqiang Yao, and Zhaosheng Chu. "Impact of Point and Nonpoint Sources on Nutrient Levels and Algal Pollution in Lake Erhai in China." In World Environmental and Water Resources Congress 2019. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482346.009.

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Vajs, Ivan, Dejan Dragić, and Ilija Radovanović. "Investigation of the influence of relative humidity and temperature on the IOT solution with low cost air quality monitoring." In 8th International Conference on Renewable Electrical Power Sources. SMEITS, 2020. http://dx.doi.org/10.24094/mkoiee.020.8.1.261.

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Abstract:
Due to the rising air pollution in densely populated areas, the need for reliable and cost-effective air monitoring systems is on the rise. Low-cost off-the-shelf air quality sensors available on the market provide a good starting point as they are readily available and inexpensive but fall short when it comes to accuracy and reliability. In this paper, the influence of relative humidity and temperature on the accuracy of these sensors is analyzed. Different types of statistical models are used in order to model the measuring error of the sensors caused by relative humidity and temperature. Obtained results show that the accuracy of the off-the-shelf system can be improved by adequate compensation and a more reliable, yet inexpensive air monitoring systems could be implemented.
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9

Lu Jie and Wang Shaochen. "Notice of Retraction: Analysis of pollution load and comprehensive protection of agricultural non-point sources of Zihe river basin." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT 2010). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5568471.

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10

Bian, Bo, and Hai suo Wu. "Composite of Pre-Reservoir Technology for the Removal of Pollutants of Rural Non-Point Sources Pollution in Tangma Reservoir Area." In International Conference On Civil Engineering And Urban Planning 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412435.030.

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