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Journal articles on the topic 'Coastal systemss'

Author: Grafiati

Published: 30 November 2024

Last updated: 19 July 2025

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J E Delina, P. "A Review on Remote Sensing Approaches on Coastal Aquatic Systems." International Journal of Science and Research (IJSR) 10, no. 10 (2021): 1299–307. https://doi.org/10.21275/sr211022183156.

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Kim, Yong-Jin, Dong-Cheon Seo, Seung-Mi Jeong, Eun-Jung Kim та Hye-Sung Lee. "도서지역의 해안폐기물 관리체계 개선방안 제안". Journal of the Korean Society of Urban Environment 20, № 1 (2020): 69–76. http://dx.doi.org/10.33768/ksue.2020.20.1.069.

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Dishington, Rachel. "Extreme, Outrageous, and (Un)reliable: Navigating Uncertainty in the Development of Sound-Based Fog Signals in Scotland, 1860–1900." Technology and Culture 65, no. 4 (2024): 1223–45. http://dx.doi.org/10.1353/tech.2024.a940467.

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abstract: This case study demonstrates how an analysis grounded in sound studies, rather than visual studies, reveals a different technological outcome in the development of coastal navigation systems. In the late nineteenth century, engineers at Scotland's Northern Lighthouse Board developed and managed a growing network of sound-based fog signals, primarily using steam-powered sirens. Despite the prevailing perception that sound signaling was more unreliable and risky than lighthouses for coastal navigation, engineers focused on maximizing the loudness of these devices to address the uncertainty of sound transmission. By prioritizing the siren and narrowing the system's goals to warning sailors about imminent danger, the engineers created a system with fundamentally different aims, implementation methods, and design priorities than those of visually-based lighthouse technology. This sound-based analysis uncovers how sensory hierarchies shaped technological decisions, leading to a unique and distinct approach to coastal navigation.

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Scherbina, E., and T. C. Nguyen. "METHODOLOGICAL APPROACHES TO THE DEVELOPMENT OF TOURIST TERRITORIES BASED ON THE PRINCIPLES OF SUSTAINABLE DEVELOPMENT." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 7, no. 6 (2022): 83–93. http://dx.doi.org/10.34031/2071-7318-2022-7-6-83-93.

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The paper presents the increasing role of the tourism business in the state's economic development, including the countries and cities of the Asia-Pacific region. These regions have favorable natural conditions for developing coastal tourist resorts. In addition, the article also demonstrates the impact of the pandemic on tourism activities around the world. The factors of the tourism industry's negative impact on the natural complex have been identified. It is especially evident in the coastal zone, experiencing a significant anthropogenic load and must be considered when placing tourism-related objects in the city's planning structure. The basic principles (sufficiency of resources, limited resources, infrastructural integrity and maintenance of the natural system's ecological balance) are formulated, which serve as the foundation for developing a model of the coastal city territory's urban planning balance with a focus on the tourism industry. The proposed model is based on considering the features of the spatial development of coastal city regions, focused on the tourism business. Based on the formulated model, the potential's assessment for urban development of the coastal city Tuy Hoa (Vietnam) is carried out on the basis of the tourism industry. The natural complex's estimates, engineering and transport infrastructures, and the social sphere have been obtained, which allow to estimate the tourist flow of no more than 54,000 tourists, ensuring the sustainable development of the city

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Norbisrath, Mona, Johannes Pätsch, Kirstin Dähnke, et al. "Metabolic alkalinity release from large port facilities (Hamburg, Germany) and impact on coastal carbon storage." Biogeosciences 19, no. 22 (2022): 5151–65. http://dx.doi.org/10.5194/bg-19-5151-2022.

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Abstract. Metabolic activities in estuaries, especially these of large rivers, profoundly affect the downstream coastal biogeochemistry. Here, we unravel the impacts of large industrial port facilities, showing that elevated metabolic activity in the Hamburg port (Germany) increases total alkalinity (TA) and dissolved inorganic carbon (DIC) runoff to the North Sea. The imports of particulate inorganic carbon, particulate organic carbon, and particulate organic nitrogen (PIC, POC, and PON) from the upstream Elbe River can fuel up to 90 % of the TA generated in the entire estuary via calcium carbonate (CaCO3) dissolution. The remaining at least 10 % of TA generation can be attributed to anaerobic metabolic processes such as denitrification of remineralized PON or other pathways. The Elbe Estuary as a whole adds approximately 15 % to the overall DIC and TA runoff. Both the magnitude and partitioning among these processes appear to be sensitive to climatic and anthropogenic changes. Thus, with increased TA loads, the coastal ocean (in particular) would act as a stronger CO2 sink, resulting in changes to the overall coastal system's capacity to store CO2.

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Haider, Rashid, Sajid Ali, Gösta Hoffmann, and Klaus Reicherter. "Tsunami inundation and vulnerability analysis on the Makran coast, Pakistan." Natural Hazards and Earth System Sciences 24, no. 9 (2024): 3279–90. http://dx.doi.org/10.5194/nhess-24-3279-2024.

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Abstract. The coastal cities of Gwadar and Pasni, situated along the Arabian Sea in the northwestern region of the Indian Ocean, are subjected to thorough investigation for inundation and vulnerability analysis. The estimation of maximum tsunami wave potential in the Arabian Sea involves evaluating paleomorphodynamic records of tsunamites found along its coastlines, with a focus on the most severe case for modeling to determine the maximum wave potential. Subsequently, based on this assessment, three distinct wave scenarios (7, 10, and 15 m) are projected onto Pasni and Gwadar and their surrounding coastal areas. The results reveal the high vulnerability of both cities to wave heights ≥7 m and wavelengths ≥15 km, with the 15 m scenario posing a near-complete disaster for both cities and adjoining towns. Furthermore, simulation results demonstrate that the coastal orientation and morphology contribute to the devastating impact of reflection, integration, and amplification phenomena in the region, with their intensity escalating with larger approaching waveforms. The reflection-amplification phenomenon notably and variably impacts inundation extents and depths. The installed tsunami early warning system's effectiveness is also evaluated based on the modeling and simulated results and the recent practices of early warning alerts issued.

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Sari, Retno, Fitrallisan Fitrallisan, Erza Shafiah Zahraani Pravita Hardini, Gideon Sulivan Lemako, and Rosy Feraningsih Patigu. "Gastropoda Diversity in the Coastal Area of Kapas Island, Tolitoli, Central Sulawesi." Jurnal Biologi Tropis 24, no. 2b (2024): 248–56. https://doi.org/10.29303/jbt.v24i2b.8109.

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Kapas Island is one of the coastal tourist destinations that has a panorama of white sand with various types of plants and marine animals. Types of marine animals that are also found in coastal areas are gastropods. One measure of the biological system's sustainability is species diversity. The purpose of this study is to examine the gastropod diversity in the coastal region of Kapas Island, Tolitoli, Central Sulawesi. According to the findings of environmental parameter tests, temperatures with different substrates ranged from 29.3 °C to 32.6 °C, salinity from 33 to 38 ppt, and pH from 7.88 to 8.07. The types of Gastropods found in the study amounted to 34 species, from 26 Genus, 17 Families with 6 Orders and 2 subclasses. The Diversity Index Analysis's (H') total value for the Medium diversity category was 2.61, with findings ranging from 1.52-2.29. While the Evenness Index (E) rating ranges from 0.5 to 0.76, the medium-high evenness category's overall analysis value is 0.74. The dominance index (D) data showed no dominance amongst species, with a total index value of 0.1 and a range of 0.14 to 0.37. These results indicate that gastropods in the coastal area of Kapas Island have moderate diversity and are evenly distributed. There is no dominance between species, which indicates that the gastropod community is stable with favorable environmental conditions.

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Gregory, Christopher L., Alan A. Allen, and Dean H. Dale. "Assessment of Potential Oil Spill Recovery Capabilities." International Oil Spill Conference Proceedings 1999, no. 1 (1999): 527–34. http://dx.doi.org/10.7901/2169-3358-1999-1-527.

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ABSTRACT Clean Coastal Waters, Inc. (CCW) is an oil industry funded Oil Spill Removal Organization (OSRO) whose capabilities have been classified by both the U.S. Coast Guard and the State of California. The current method of rating response equipment does not provide for insightful management of the organization's mechanical recovery equipment. CCW has therefore utilized the National Oceanic and Atmospheric Administration's (NOAA) Mechanical Equipment Calculator™ (MEC) to provide an alternative assessment of CCW's oil spill recovery capability. The MEC provides a more realistic view of spill recovery capability and it allows for manipulation of recovery system components to maximize their effectiveness. A major objective of this assessment was to examine each system's performance using realistic oil slick conditions. Three representative oil slick conditions, ranging from light to heavy concentrations, were selected as input for the computerized simulation and evaluation of each recovery system's potential performance. The relative contribution of each system was examined under real-world conditions including actual times for notification, mobilization, transit, recovery and offloading of recovered oil and water. A secondary objective of the assessment was to investigate methods by which each system's recovery rate could be enhanced while operating in open water with widespread slick conditions representing as little as a barrel of oil per acre (i.e., with average oil thicknesses of a few hundredths of a millimeter). This investigation indicated the need for several changes to the CCW equipment inventory in order to maximize system performance. Clean Coastal Waters is currently experimenting with real-world application of these enhancements and has already incorporated several important modifications into its recovery systems. Such modifications include: the matching of onboard pumps with expected oil encounter rates; the adjustment of system swaths to better utilize potential recovery capabilities; and, the inclusion of multiple, secondary storage units at key locations for improved overall performance. The third objective of the assessment was to evaluate the utility and effectiveness of the MEC. The MEC was determined to be an effective tool for characterization, evaluation and management of response capabilities. CCW will continue to use the MEC to assist its member companies in managing recovery systems during training, exercises, and actual spill response activities.

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Horwitz, Rachel M., Alex E. Hay, William J. Burt, Richard A. Cheel, Joseph Salisbury, and Helmuth Thomas. "High-frequency variability of CO<sub>2</sub> in Grand Passage, Bay of Fundy, Nova Scotia." Biogeosciences 16, no. 2 (2019): 605–16. http://dx.doi.org/10.5194/bg-16-605-2019.

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Abstract. Assessing changes in the marine carbon cycle arising from anthropogenic CO2 emissions requires a detailed understanding of the carbonate system's natural variability. Coastal ecosystems vary over short spatial and temporal scales, so their dynamics are not well described by long-term and broad regional averages. A year-long time series of pCO2, temperature, salinity, and currents is used to quantify the high-frequency variability of the carbonate system at the mouth of the Bay of Fundy, Nova Scotia. The seasonal cycle of pCO2 is modulated by a diel cycle that is larger in summer than in winter and a tidal contribution that is primarily M2, with amplitude roughly half that of the diel cycle throughout the year. The interaction between tidal currents and carbonate system variables leads to lateral transport by tidal pumping, which moves alkalinity and dissolved inorganic carbon (DIC) out of the bay, opposite to the mean flow in the region, and constitutes a new feature of how this strongly tidal region connects to the larger Gulf of Maine and northwest Atlantic carbon system. These results suggest that tidal pumping could substantially modulate the coastal ocean's response to global ocean acidification in any region with large tides and spatial variation in biological activity, requiring that high-frequency variability be accounted for in assessments of carbon budgets of coastal regions.

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Jeuken, Ad, Marjolijn Haasnoot, Tim Reeder, and Philip Ward. "Lessons learnt from adaptation planning in four deltas and coastal cities." Journal of Water and Climate Change 6, no. 4 (2014): 711–28. http://dx.doi.org/10.2166/wcc.2014.141.

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Deltas and coastal cities around the world face the need to adapt to uncertain future changes. We compared adaptation planning on flood risk management in four cases based on three main elements of adaptive planning: to prepare for a wide range of plausible future scenarios; to respond to change with robust and flexible actions; and to monitor critical changes to be able to reassess the plan accordingly. Differences can be observed in the implementation of these elements. Good practices could be distinguished: cases consider a wide range of future scenarios; short-term decisions are coupled with long-term options while envisioning these options and possibilities for switching between them through adaptation pathways; opportunities originating from other agendas to achieve multiple objective investments are seized; and the system's resilience is improved by a wide variety of measures. At the same time some barriers for using adaptive planning approaches were identified: the use of a wide range of scenarios is only accepted in an exploratory phase of planning. Structural flood protection measures taken in the past do constrain future choices. The potential for monitoring and reassessment of options is hampered by the fact that trends in some variables cannot be detected.

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Coleman, Daniel J., Alexander S. Kolker, and Karen H. Johannesson. "Submarine groundwater discharge and alkaline earth element dynamics in a deltaic coastal setting." Hydrology Research 48, no. 5 (2016): 1169–76. http://dx.doi.org/10.2166/nh.2016.285.

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Submarine groundwater discharge is a process that is often considered negligible in deltaic systems given their low gradient and fine-grained sediment. However, hydrologic budgets and radon surveys indicate that it may be a significant component of the Mississippi River Delta system. To more concretely indicate groundwater's contribution to the local environment, we conducted an analysis of estuarine water chemistry. We focused on the mid-weight alkaline earth metals, which differ significantly in the system's three end-members: river, ocean, and groundwater. We found an anomaly of barium in the estuaries, which could not be completely explained by desorption. Through the construction of a three-end-member mixing model, groundwater was estimated to comprise 14–28% of Terrebonne and Barataria Bay estuarine water, which corresponds to a combined discharge of 160–480 m3/s. This groundwater discharge helps explain the hydrologic budget of the system, and could influence the chemistry of these large deltaic estuaries.

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Raygosa-Barahona, Rubén, Miguel Ángel Garcia-Terán, Cecilia Enriquez, and Ernesto Olguín-Díaz. "Experimental Evaluation of an Autonomous Surface Craft for Shallow-Water Bathymetry." Marine Technology Society Journal 51, no. 4 (2017): 59–67. http://dx.doi.org/10.4031/mtsj.51.4.7.

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AbstractVast coastal water bodies such as mangroves and wetlands, despite their enormous importance, are inaccessible to even the smallest aquatic vehicles, which are not capable of navigating the extremely shallow environments. To understand their behavior and the transport and exchange processes with both sea and land, it is crucial to study local hydrodynamics, which are highly dependent on bathymetric configuration. In order to obtain accurate and high spatial resolution bathymetric samples, an existing small surface vehicle instrumented with GPS and echosounder was implemented with an autopilot system to achieve autonomy. A description of the autonomous system together with the evaluation of the whole vehicle's performance in a natural coastal environment (e.g., affected by the wind, waves, and currents that exist in coastal regions) is presented. The navigation system is based on an autopilot system, which follows a set of user-selected waypoints to drive the vehicle through a previously designed path. The trajectory is self-corrected to achieve sufficient accuracy (the limits are also defined by the user) using real-time kinematics. The tracking is performed by two independent proportional-integral-derivative (PID) control systems: the boat's displacement speed and the bearing control. A simple experimental procedure to tune the low-level PID control parameters is presented. Comparisons between the bathymetric maps obtained with the system and with other standard bathymetric surveys from a selected coastal site (ship-towed echosounder) are presented to test both the precision of the boat's navigation and the fine structure of the bottom topography. The results confirm the system's capability as a valuable tool for surveying large and very shallow environments.

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Nova, Nova, Adityo Raynaldo, and Robin Saputra. "Analysis of Mangrove Suitability for Ecotourism Development Based on Geographic Information System in Kemboja Village North Kayong Regency, West Kalimantan." Journal of Applied Geospatial Information 8, no. 2 (2024): 121–27. https://doi.org/10.30871/jagi.v8i2.8111.

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Mangrove ecotourism has an important role in maintaining the balance of coastal ecosystems. Mangroves have various important benefits, such as in mitigating climate change with their ability to absorb carbon and protect coastal areas from abrasion. To improve tourism development, the Geographic Information System's ecotourism suitability analysis has become an important instrument. The purpose of this study is to explore mangrove types and the value of the Tourism Suitability Index. A Geographic Information System (GIS) and Tourism Suitability Index (TSI) approach was used to analyze parameter data, including mangrove density, species richness, mangrove thickness, tides and association biota. Results show that the dominant mangrove species are Xylocarpus granatum, Rhizopora mucronata, Rhizopora apiculata, and Bruguiera parviflora, with densities varying from 4 mÂ²/ind to 23 mÂ²/ind. Mangrove thickness varied from <50 to >500 meters, and biota association varied from 1 to 4 groups. The average tides vary in height, providing an important hydrological context. The land suitability analysis showed great mangrove ecotourism potential in Kemboja Village, with 2,532.20 hectares classified as highly suitable (46.07%) and 2,961.86 hectares classified as suitable (53.89%) for sustainable tourism development. Unsuitable areas cover 1.61 hectares (<1%).

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Kostianaia, E. A., A. G. Kostianoy, and P. O. Zavialov. "ON THE RESULTS OF A SURVEY OF RUSSIAN SPECIALISTS ON THE CREATION OF AN ONLINE PLATFORM “SYSTEM OF SYSTEMS” DOORS WITH INFORMATION ABOUT THE BLACK SEA ENVIRONMENT." Journal of Oceanological Research 50, no. 4 (2022): 137–50. http://dx.doi.org/10.29006/1564-2291.jor-2022.50(4).6.

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The article presents the results of a survey of Russian oceanographers regarding the need for data on the physical, biogeochemical and biological state of the Black and Azov Seas in order to form requirements for the creation of an online platform System of Systems (SoS) based on modern tools, observations, modeling and data integration, performed according to the stakeholder survey methodology and an electronic questionnaire developed within the framework of the international project “DOORS” and Agreement N 075-15-2021-941 (13.2251.21.0008) with the Ministry of Science and Higher Education of the Russian Federation “Comprehensive studies of the ecological state of the waters of the coastal zone of the northeastern shelf of the Black Sea in the framework of participation in the international project DOORS”. One of the main goals of the DOORS project is to create and test a user-driven online System of Systems (SoS) platform that will collect, integrate, provide its data and observations, and offer specialized services and products to the Black Sea basin stakeholder communities.

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Lara, Luis, and Obidio Rubio. "SIMULACIÓN DEL COMPORTAMIENTO DEL NIVEL FREÁTICO EN UN SISTEMA DE ACUÍFERO COSTERO POR ELEMENTOS FINITOS." Selecciones Matemáticas 3, no. 1 (2016): 54–66. http://dx.doi.org/10.17268/sel.mat.2016.01.08.

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Nguyen, Trong Gia, Quy Ngoc Bui, Quang Ngoc Pham, Cuong Van Nguyen, Phuong Thanh Nguyen, and Tung Son Vu. "Developing an application within the coastal flood risk warning system: Pilot study in Quang Nam province." Journal of Mining and Earth Sciences 65, no. 5 (2024): 41–49. http://dx.doi.org/10.46326/jmes.2024.65(5).05.

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Flooding is one of the common natural hazards in coastal areas of Vietnam, attributed to the influence of climate change. Establishing a robust infrastructure and tools to support flood warning systems is crucial and necessary to enhance the effectiveness of early warnings. An integrated warning mechanism comprises physical components (such as sensors and computers), software applications for data processing and analysis, databases, and stakeholders including governmental agencies and local communities. Among these, community participation is a crucial aspect, aiding in the collection and dissemination of vital information for warning systems during natural disasters. Despite numerous studies focusing on developing support and warning systems for natural disasters in Vietnam, community involvement has not been sufficiently emphasized in the outcomes of these studies. This article presents the results of developing computer programs and mobile applications for flood warning services in coastal areas. Specifically, a flood risk warning map is generated using a 1D-CNN deep learning model experimented in Quang Nam province. The experimental mobile application allows community participation by enabling them to provide real-time information on the flood situation, facilitating the system's analysis, processing, updating, and integration of data into the established database to issue flood risk warnings for the research area.

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Pauline, S., and K. Sujith. "Shoreline Changes from Mahabalipuram to Odiyur Lake Using Digital Shore Line Analysis System." Indian Journal Of Science And Technology 18, no. 26 (2025): 2088–99. https://doi.org/10.17485/ijst/v18i26.137.

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Objectives: To examine the recent shoreline changes in the East coast of Tamil Nadu, India. Method: The current data set includes an evaluation of the morphological changes of the shoreline in the Indian state of Tamil Nadu, from Mahabalipuram to Odiyur Lake coastal stretch, using satellite images and DSAS (Digital Shoreline Analysis System) during a 17-year period. The research assesses the level of erosion and accretion along the coastline by utilizing statistical metrics, including EPR (End Point Rate) and NSM (Net Shoreline Movement). Five hundred sixty-one transects were created to assess shoreline changes over three coastal segments. Findings: The results reveal that the area between Kadalur Periya Kuppam and Kalpakkam underwent significant erosion, with peak rates of 7.5 meters per year and a coastal retreat of up to 119 meters. Conversely, sections from Odiyur to Mugaiyur and Kalpakkam to Mahabalipuram exhibited moderate to minimal erosion, with indications of accretion in particular areas. Novelty/Importance: The dataset demonstrates spatial variability affected by geomorphological characteristics and climatic disturbances, including cyclones. This study provides critical data for planners and policymakers to inform sustainable coastal management and erosion reduction in vulnerable shoreline areas. Keywords: Shore line changes, Digital Shoreline Analysis System, End point Rate, Net Shoreline Movement

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Suman, Kumar Dey, Nahar Bithi, Kumar Ghuha Debbrota, and Islam Rashdul. "Performance Evaluation of Underwater Wireless SAC-OCDMA System." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 1 (2025): 224–32. https://doi.org/10.5281/zenodo.14637043.

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This study evaluates Underwater wireless spectral amplitude-coding optical code division multiple access (SAC-OCDMA) systems bit error rate (BER) performance when employing Modified Quadratic Congruence (MQC) codes as user address sequences. Balanced detection is utilized to mitigate multi-user  interference (MUI), and use constant in-phase cross- correlation values of MQC codes. BER calculations  consider phase-induced intensity noise (PIIN), shot noise, and thermal noise under varying optical signal power, link distances, inclination angles, and the number of concurrent users. The performance of photodiodes and avalanche photodiodes is compared, with the latter exhibiting enhanced sensitivity and noise characteristics, facilitating the detection of weaker signals across extended distances. The system's BER is examined across various seawater forms: pure seawater, clear ocean water, and coastal ocean water. The results indicate the optimal performance of avalanche photodiodes in pure seawater.

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Tejedor-Martinez, Luis, Jose C. Santas-Lopez, and Begoña Tejedor-Alvarez. "SYSTEMS MODEL OF COASTAL CIRCULATION." Cybernetics and Systems 21, no. 2-3 (1990): 319–35. http://dx.doi.org/10.1080/01969729008902244.

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Guan, Shanyue, Hannah Sirianni, George Wang, and Zhen Zhu. "sUAS Monitoring of Coastal Environments: A Review of Best Practices from Field to Lab." Drones 6, no. 6 (2022): 142. http://dx.doi.org/10.3390/drones6060142.

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Coastal environments are some of the most dynamic environments in the world. As they are constantly changing, so are the technologies and techniques we use to map and monitor them. The rapid advancement of sUAS-based remote sensing calls for rigorous field and processing workflows so that more reliable and consistent sUAS projects of coastal environments are carried out. Here, we synthesize the best practices to create sUAS photo-based surveying and processing workflows that can be used and modified by coastal scientists, depending on their project objective. While we aim to simplify the complexity of these workflows, we note that the nature of this work is a craft that carefully combines art, science, and technology. sUAS LiDAR is the next advancement in mapping and monitoring coastal environments. Therefore, future work should consider synthesizing best practices to develop rigorous field and data processing workflows used for sUAS LiDAR-based projects of coastal environments.

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Jeganathan, Anushiya, Ramachandran Andimuthu, and Palanivelu Kandasamy. "Challenges in Chennai City to Cope with Changing Climate." European Journal of Climate Change 3, no. 1 (2021): 33–43. http://dx.doi.org/10.34154/2021-ejcc-0017/euraass.

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Cities are dynamic systems resulting from the complex interaction of various socio-ecological and environmental developments. Climate change disproportionately affects cities mostly located in climate-sensitive areas; thus, these urban systems are the most critical in modern societies under changing climate scenarios, uncertain disruptions, and urban inhabitants' daily lives. It is essential to analyze the challenges in the metropolitan area through the lens of climate change. The present work analyses the challenges in Chennai, a coastal city in India and one of the chief industrial growth canters in Indian and South Asian region. The challenges are analyzed through the city’s system analysis via land use, green cover, population, and coastal hazards. Land use and green cover changes are studied through satellite images using ArcGIS and assessing coastal risks due to sea-level rise through GIS-based inundation model. There are drastic changes in land-use patterns; the green cover had reduced much, including agricultural and forest cover due to rapid urbanization. The land use has changed to 59.6% of the reduction in agriculture land, nearly 40% reduction in forest land, and 47% of the wetland over time. The observed mean sea level trend for Chennai is + 0.55 mm/year from 1916 to 2015 and the area of 21.75 sq. km is under the threat of inundation to 0.5m sea-level rise. The population growth, drastic changes in land use pattern, green cover reduction, and inundation due to sea-level rise increase the city's risks to climate change. There is a need to ensure that future land-use developments do not worsen the current climate risk level, either through influencing the hazards themselves or affecting the urban system's future vulnerability and adaptive capacity. The study also urges the zone level adaptation strategies to ensure the resilience of the city.

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Van Alphen, Robert, Kai C. Rains, Mel Rodgers, Rocco Malservisi, and Timothy H. Dixon. "UAV-Based Wetland Monitoring: Multispectral and Lidar Fusion with Random Forest Classification." Drones 8, no. 3 (2024): 113. http://dx.doi.org/10.3390/drones8030113.

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As sea levels rise and temperatures increase, vegetation communities in tropical and sub-tropical coastal areas will be stressed; some will migrate northward and inland. The transition from coastal marshes and scrub–shrubs to woody mangroves is a fundamental change to coastal community structure and species composition. However, this transition will likely be episodic, complicating monitoring efforts, as mangrove advances are countered by dieback from increasingly impactful storms. Coastal habitat monitoring has traditionally been conducted through satellite and ground-based surveys. Here we investigate the use of UAV-LiDAR (unoccupied aerial vehicle–light detection and ranging) and multispectral photogrammetry to study a Florida coastal wetland. These data have higher resolution than satellite-derived data and are cheaper and faster to collect compared to crewed aircraft or ground surveys. We detected significant canopy change in the period between our survey (2020–2022) and a previous survey (2015), including loss at the scale of individual buttonwood trees (Conocarpus erectus), a woody mangrove associate. The UAV-derived data were collected to investigate the utility of simplified processing and data inputs for habitat classification and were validated with standard metrics and additional ground truth. UAV surveys combined with machine learning can streamline coastal habitat monitoring, facilitating repeat surveys to assess the effects of climate change and other change agents.

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Zhang, Xiaoyan, Yangyang Deng, and Chunya Li. "Evaluation of Coordinated Level between Coastal Ports and Urban Economics Based on DEA and Coordination Degree Model: Case of Jiangsu Province." Security and Communication Networks 2022 (August 18, 2022): 1–7. http://dx.doi.org/10.1155/2022/3406760.

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The coordinated development of coastal ports and urban economy has great significance to realize the high-quality development of marine economy. Under the requirements of high-quality development, this article theoretically analyzes the interactive relationship between port economics and urban economics, then based on the data envelopment analysis (DEA), static coordination degree model, and dynamic coordination degree model, constructs the vertical evaluation index system and evaluation model to evaluate the coordinated development level of port economics and urban economics, and evaluates the actual situation of the three coastal cities of Jiangsu province as an example. The results show that the average effectiveness ranking of the coastal ports to urban economics is the same as that of urban economics to coastal ports, but the degree of impact varies from region to region, and the degree of coordination follows a phenomenon of Lianyungang >Nantong >Yancheng. Finally, the article gives strategic suggestions to promote the high-quality development of the three coastal cities in Jiangsu Province.

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Serafino, Francesco, Jochen Horstmann, José Carlos Nieto Borge, Claudio Lugni, and Maurizio Brocchini. "Sensors for Coastal Monitoring." Journal of Sensors 2016 (2016): 1–2. http://dx.doi.org/10.1155/2016/1720563.

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Qin, Xionghe, Caizhi Sun, and Wei Zou. "Quantitative models for assessing the human-ocean system's sustainable development in coastal cities: The perspective of metabolic-recycling in the Bohai Sea Ring Area, China." Ocean & Coastal Management 107 (April 2015): 46–58. http://dx.doi.org/10.1016/j.ocecoaman.2015.02.003.

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Abramov, Hennadii Serafimovych, and Dmytro Volodymyrovych Makarchuk. "MATHEMATICAL MODELING OF THE RELIABILITY OF THE NAVIGATION COMPLEX USING QUEUING SYSTEMS THEORY." Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies, no. 2(7) (January 30, 2025): 3–12. https://doi.org/10.20998/2222-0631.2024.02(7).01.

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This article examines the navigation complex as a queuing system and defines the relationship between the difficulty of navigation conditions and the system's capacity. A mathematical model was developed to calculate and analyze the reliability of the ship's navigational complex using queueing sys- tems theory. This work is one of the first steps in using queueing systems theory to analyze issues with safe shipping. The mathematical model was implemented with experimentation across a wide range of input data. The results are visualized and mathematically processed, building approximation equations of the second order, which tie the probability of the system’s functional state to the corresponding intensities of failure and servicing streams. The linearized model is taken to build a nomogram, which may have broad practical uses. Mathematical modeling is done for various condi- tions of navigational difficulty (from coastal to littoral navigation and port maneuvers). This ensures the practical importance of the model’s results when developing relevant naval rules and judging the benefits of electronic navigation.

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Rong-Shan, Qiu, Ding Ding, and Han Li-Min. "Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function." Security and Communication Networks 2021 (November 10, 2021): 1–9. http://dx.doi.org/10.1155/2021/3864188.

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In order to solve the problems of low accuracy and long prediction time of traditional economic growth prediction algorithms in coastal areas, an algorithm based on impulse response function was designed to analyze economic growth prediction in coastal areas. Crawler technology is used to capture the economic data of coastal areas and normalize the captured data. Based on the processed data, the impulse response function is used to analyze the relationship between different economic variables, so as to build the PSO-LSTM model, which is used to predict the economic growth trend of coastal areas. The experimental results show that, compared with the experimental comparison algorithm, the prediction accuracy of the algorithm designed in this paper is always above 97%, and the prediction time is always below 1 s, which has certain practical significance.

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Dickson, Liam C. D., Stuart R. B. Negus, Christophe Eizaguirre, Kostas A. Katselidis, and Gail Schofield. "Aerial Drone Surveys Reveal the Efficacy of a Protected Area Network for Marine Megafauna and the Value of Sea Turtles as Umbrella Species." Drones 6, no. 10 (2022): 291. http://dx.doi.org/10.3390/drones6100291.

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Quantifying the capacity of protected area networks to shield multiple marine megafauna with diverse life histories is complicated, as many species are wide-ranging, requiring varied monitoring approaches. Yet, such information is needed to identify and assess the potential use of umbrella species and to plan how best to enhance conservation strategies. Here, we evaluated the effectiveness of part of the European Natura 2000 protected area network (western Greece) for marine megafauna and whether loggerhead sea turtles are viable umbrella species in this coastal region. We systematically surveyed inside and outside coastal marine protected areas (MPAs) at a regional scale using aerial drones (18,505 animal records) and combined them with distribution data from published datasets (tracking, sightings, strandings) of sea turtles, elasmobranchs, cetaceans and pinnipeds. MPAs covered 56% of the surveyed coastline (~1500 km). There was just a 22% overlap in the distributions of the four groups from aerial drone and other datasets, demonstrating the value of combining different approaches to improve records of coastal area use for effective management. All four taxonomic groups were more likely to be detected inside coastal MPAs than outside, confirming sufficient habitat diversity despite varied life history traits. Coastal habitats frequented by loggerhead turtles during breeding/non-breeding periods combined overlapped with 76% of areas used by the other three groups, supporting their potential use as an umbrella species. In conclusion, this study showed that aerial drones can be readily combined with other monitoring approaches in coastal areas to enhance the management of marine megafauna in protected area networks and to identify the efficacy of umbrella species.

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Del Angel, Diana, David Yoskowitz, Matthew Bilskie, and Scott Hagen. "A Socioeconomic Dataset of the Risk Associated with the 1% and 0.2% Return Period Stillwater Flood Elevation under Sea-Level Rise for the Northern Gulf of Mexico." Data 7, no. 6 (2022): 71. http://dx.doi.org/10.3390/data7060071.

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Storm surge flooding can cause significant damage to coastal communities. In addition, coastal communities face an increased risk of coastal hazards due to sea-level rise (SLR). This research developed a dataset to communicate the socioeconomic consequences of flooding within the 1% and 0.2% Annual Exceedance Probability Floodplain (AEP) under four SLR scenarios for the Northern Gulf of Mexico region. Assessment methods primarily used HAZUS-MH software, a GIS-based modeling tool developed by the Federal Emergency Management Agency in the United States, to estimate natural disasters’ physical, economic, and social impacts. This dataset consists of 29 shapefiles containing seven different measures of storm surge inundation impacts under SLR (including building damage, displaced people and shelter needs, road exposure, essential facilities, wastewater treatment plants, bridges, and vehicle damage). The data is publicly available under the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC).

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Lavrova, O. Yu, D. M. Soloviev, A. Ya Strochkov, K. R. Nazirova, E. V. Krayushkin, and E. V. Zhuk. "The use of mini-drifters in coastal current measurements conducted concurrently with satellite imaging." Исследования Земли из Космоса, no. 5 (November 5, 2019): 36–49. http://dx.doi.org/10.31857/s0205-96142019536-49.

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The results of field measurements of coastal currents using Lagrangian mini-drifters are presented. Drifter experiments were conducted concurrently with satellite imaging using Sentinel-2 MSI, Landsat-8 OLI and Sentinel-3 OLCI sensors. It is shown that the use of an inexpensive and simple to manufacture device, which is a mini-drifter, allows obtaining operational information about the parameters of coastal currents. In the experiments of April-May, 2019, in the northeastern part of the Black Sea, it was possible to estimate the velocity of coastal currents and determine the minimum distance that Black Sea Rim Current approached the coast. The trajectories of mini-drifters revealed the manifestations of inertial oscillations whose spatial characteristics are almost impossible to measure in any other way. The influence of the vortex structures detected in visible satellite images on the distribution of mini-drifters was estimated.

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Pradeep, J., and S. Bhaskar Aparna. "Shoreline Change Detection from Cuddalore to Nagapattinam Coast, Tamil Nadu." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 1 (2021): 188–91. https://doi.org/10.35940/ijrte.C6476.0910321.

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Erosion of shoreline areas is one of the major sources of problems on the world, whose impact has had a devastating effect on coastal communities. The coastal region of India is undergoing various natural and Anthro -pogenic process activities which controls the accretion , erosion rates along the coastal area. Existing research suggests that the merged use of satellite imagery and mathematical techniques are the appropriate technique for coastal survey analysis. The study was conducted in the Cuddalore to Nagapattinam coastal area till kodiyakarai (Tamil Nadu), India ,Using satellite -data imagery from 2003 to 2017. This coastal stretch has been report high rate of erosion as well as Accretion. Coastal side erosion and long-term erosion, accretion rates were calculated using DSAS, to measure the rate of change of the shoreline. Analysis results shows erosion is rampant in Mayiladuthurai district, Tharangambadi - Karaikal (Puducherry Union Territory) especially from Tharangambadi beach to nagore beach.

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Ruessink, Gerben, Dick Groenendijk, and Bas Arens. "Digital Elevation Models and Orthomosaics of the Dutch Noordwest Natuurkern Foredune Restoration Project." Data 9, no. 2 (2024): 37. http://dx.doi.org/10.3390/data9020037.

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Coastal dunes worldwide are increasingly under pressure from the adverse effects of human activities. Therefore, more and more restoration measures are being taken to create conditions that help disturbed coastal dune ecosystems regenerate or recover naturally. However, many projects lack the (open-access) monitoring observations needed to signal whether further actions are needed, and hence lack the opportunity to "learn by doing". This submission presents an open-access data set of 37 high-resolution digital elevation models and 24 orthomosaics collected before and after the excavation of five artificial foredune trough blowouts (“notches”) in winter 2012/2013 in the Dutch Zuid-Kennemerland National Park, one of the largest coastal dune restoration projects in northwest Europe. These high-resolution data provide a valuable resource for improving understanding of the biogeomorphic processes that determine the evolution of restored dune systems as well as developing guidelines to better design future restoration efforts with foredune notching.

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Houtman, Nicola R., Jennifer Yakimishyn, Mike Collyer, Jennifer Sutherst, Cliff L. K. Robinson, and Maycira Costa. "Experimentally Determining Optimal Conditions for Mapping Forage Fish with RPAS." Drones 6, no. 12 (2022): 426. http://dx.doi.org/10.3390/drones6120426.

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RPAS (Remotely piloted aircraft systems, i.e., drones) present an efficient method for mapping schooling coastal forage fish species that have limited distribution and abundance data. However, RPAS imagery acquisition in marine environments is highly dependent on suitable environmental conditions. Additionally, the size, color and depth of forage fish schools will impact their detectability in RPAS imagery. In this study, we identified optimal and suboptimal coastal environmental conditions through a controlled experiment using a model fish school containing four forage fish-like fishing lures. The school was placed at 0.5 m, 1.0 m, 1.5 m, and 2.0 m depths in a wide range of coastal conditions and then we captured RPAS video imagery. The results from a cluster analysis, principal components, and correlation analysis of RPAS data found that the optimal conditions consisted of moderate sun altitudes (20–40°), glassy seas, low winds (<5 km/h), clear skies (<10% cloud cover), and low turbidity. The environmental conditions identified in this study will provide researchers using RPAS with the best criteria for detecting coastal forage fish schools.

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Chandra, Saurabh, and Amit Kumar Vatsa. "Coastal Shipping for Automobile Distribution." INFORMS Transactions on Education 22, no. 1 (2021): 35–41. http://dx.doi.org/10.1287/ited.2021.0253cs.

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Chandra, Saurabh, and Amit Kumar Vatsa. "Coastal Shipping for Automobile Distribution." INFORMS Transactions on Education 22, no. 1 (2021): 28–34. http://dx.doi.org/10.1287/ited.2021.0253ca.

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With growing concerns related to the environment, sustainable transportation has gained importance. For geographies with an ample coastline, coastal shipping offers a sustainable transportation option to move massive freight quantities. This paper presents a case that allows students to appreciate the role of coastal shipping in multimodal logistics planning. Furthermore, it gives students an opportunity to mathematically model transportation planning at a strategic and tactical level for automotive distribution. The students learn how to assess the financial viability of a mode shift from roadways to coastal shipping. The instructors can use this case for theoretical discussion on multimodal logistics and the application of mixed-integer linear programming (MILP) and heuristics as solution methods. Furthermore, the case presents an opportunity to demonstrate the improvement in solution quality with an MILP solver compared with heuristics.

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Mickey, Rangley C., and Davina L. Passeri. "A Database of Topo-Bathy Cross-Shore Profiles and Characteristics for U.S. Atlantic and Gulf of Mexico Sandy Coastlines." Data 7, no. 7 (2022): 92. http://dx.doi.org/10.3390/data7070092.

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A database of seamless topographic and bathymetric cross-shore profiles along with metrics of the associated morphological characteristics based on the latest available lidar data ranging from 2011–2020 and bathymetry from the Continuously Updated Digital Elevation Model was developed for U.S. Atlantic and Gulf of Mexico open-ocean sandy coastlines. Cross-shore resolution ranges from 2.5 m for topographic and nearshore portions to 10 m for offshore portions. Topographic morphological characteristics include: foredune crest elevation, foredune toe elevation, foredune width, foredune volume, foredune relative height, beach width, beach volume, beach slope, and nearshore slope. This database was developed to serve as inputs for current and future morphological modeling studies aimed at providing real-time estimates of coastal change magnitudes resulting from imminent tropical storm and hurricane landfall. Beyond this need for model inputs, the database of cross-shore profiles and characteristic metrics could serve as a tool for coastal scientists to visualize and to analyze varying local, regional, and national variations in coastal morphology for varying types of studies and projects related to Atlantic and Gulf of Mexico sandy coastline environments.

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Jessin, Jérémy, Charlotte Heinzlef, Nathalie Long, and Damien Serre. "A Systematic Review of UAVs for Island Coastal Environment and Risk Monitoring: Towards a Resilience Assessment." Drones 7, no. 3 (2023): 206. http://dx.doi.org/10.3390/drones7030206.

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Island territories and their coastal regions are subject to a wide variety of stresses, both natural and anthropogenic. With increasing pressures on these vulnerable environments, the need to improve our knowledge of these ecosystems increases as well. Unmanned Aerial Vehicles (UAVs) have recently shown their worth as a tool for data acquisition in coastal zones. This literature review explores the field of UAVs in the context of coastal monitoring on island territories by highlighting the types of platforms, sensors, software, and validation methods available for this relatively new data acquisition method. Reviewing the existing literature will assist data collectors, researchers, and risk managers in more efficiently monitoring their coastal zones on vulnerable island territories. The scientific literature reviewed was strictly analyzed in peer-reviewed articles ranging from 2016 to 2022. This review then focuses on the operationalization of the concept of resilience as a risk management technique. The aim is to identify a procedure from raw data acquisition to quantifying indicators for the evaluation of the resilience of a territory and finally linking the analyzed data to a spatial decision support system. This system could aid the decision-making process and uses the islands of French Polynesia and its Resilience Observatory as a case study.

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Kim, Seongjun, Chang Woo Lee, Hwan-Joon Park, et al. "Piloting an Unmanned Aerial Vehicle to Explore the Floristic Variations of Inaccessible Cliffs along Island Coasts." Drones 7, no. 2 (2023): 140. http://dx.doi.org/10.3390/drones7020140.

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Coastal cliffs are important in plant ecology as a unique frontier between terrestrial and marine ecosystems. This study piloted close-range photogrammetry with an unmanned aerial vehicle (UAV) to clarify floristic patterns using 26 inaccessible coastal cliffs in a warm-temperate, preserved island (area: 6.5 km2). UAV-based flora data were analyzed in terms of cliff aspect (Type-N: northwestern aspect of the island, Type-S: other island aspects) and elevation. The studied coastal cliffs contained 94 flora taxa, of which 13 and 12 taxa were found from either Type-N or Type-S cliffs only. Type-S cliffs retained a larger number of epiphyte and evergreen species but a smaller number of deciduous species than Type-N cliffs (p < 0.05), and 4 out of 8 detected epiphyte species dwelled in Type-S cliffs only. Additionally, the elevation of coastal cliffs was positively related to the proportion of tree and epiphyte species (r = 0.608, p < 0.001) but negatively related to the proportion of herbs (r = −0.649, p < 0.001). These patterns corresponded to differing microclimates such as the severity of cold and dry conditions during winter. We expect that UAV-based approaches will help understand plant ecology under harsh, challenging environments beyond the speculation with traditionally accessible sites only.

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Ciarletta, Daniel J., Jennifer L. Miselis, Julie C. Bernier, and Arnell S. Forde. "Implications for the resilience of modern coastal systems derived from mesoscale barrier dynamics at Fire Island, New York." Earth Surface Dynamics 12, no. 2 (2024): 449–75. http://dx.doi.org/10.5194/esurf-12-449-2024.

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Abstract. Understanding the response of coastal barriers to future changes in rates of sea level rise, sediment availability, and storm intensity/frequency is essential for coastal planning, including socioeconomic and ecological management. Identifying drivers of past changes in barrier morphology, as well as barrier sensitivity to these forces, is necessary to accomplish this. Using remote sensing, field, and laboratory analyses, we reconstruct the mesoscale (decades–centuries) evolution of central Fire Island, a portion of a 50 km barrier island fronting Long Island, New York, USA. We find that the configuration of the modern beach and foredune at Fire Island is radically different from the system's relict morphostratigraphy. Central Fire Island is comprised of at least three formerly inlet-divided rotational barriers with distinct subaerial beach and dune–ridge systems that were active prior to the mid-19th century. Varying morphologic states reflected in the relict barriers (e.g., progradational and transgressive) contrast with the modern barrier, which is dominated by a tall and nearly continuous foredune and is relatively static, except for erosion and drowning of its fringing marsh. We suggest that this state shift indicates a transition from a regime dominated by inlet-mediated gradients in alongshore sediment availability to one where human impacts exerted greater influence on island evolution from the late 19th century onward. The retention of some geomorphic capital in Fire Island's relict subaerial features combined with its static nature renders the barrier increasingly susceptible to narrowing and passive submergence. This may lead to an abrupt geomorphic state shift in the future, a veiled vulnerability that may also exist in other stabilized barriers.

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Papakonstantinou, Apostolos, Marios Batsaris, Spyros Spondylidis, and Konstantinos Topouzelis. "A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone." Drones 5, no. 1 (2021): 6. http://dx.doi.org/10.3390/drones5010006.

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Marine litter (ML) accumulation in the coastal zone has been recognized as a major problem in our time, as it can dramatically affect the environment, marine ecosystems, and coastal communities. Existing monitoring methods fail to respond to the spatiotemporal changes and dynamics of ML concentrations. Recent works showed that unmanned aerial systems (UAS), along with computer vision methods, provide a feasible alternative for ML monitoring. In this context, we proposed a citizen science UAS data acquisition and annotation protocol combined with deep learning techniques for the automatic detection and mapping of ML concentrations in the coastal zone. Five convolutional neural networks (CNNs) were trained to classify UAS image tiles into two classes: (a) litter and (b) no litter. Testing the CCNs’ generalization ability to an unseen dataset, we found that the VVG19 CNN returned an overall accuracy of 77.6% and an f-score of 77.42%. ML density maps were created using the automated classification results. They were compared with those produced by a manual screening classification proving our approach’s geographical transferability to new and unknown beaches. Although ML recognition is still a challenging task, this study provides evidence about the feasibility of using a citizen science UAS-based monitoring method in combination with deep learning techniques for the quantification of the ML load in the coastal zone using density maps.

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Baric, Assia, and Jinhwan Oh. "Effects of the EU's Carding System for IUU Fishing on Its Trading Partners." GLOBAL BUSINESS FINANCE REVIEW 27, no. 6 (2022): 69–80. http://dx.doi.org/10.17549/gbfr.2022.27.6.69.

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Purpose: This study investigated the effects of the EU carding system for IUU fishing on its trading partners carded for illegal fishing practices, with the purpose of analyzing the extent to which the carding system affected trade between the EU and third countries identified and penalized for IUU fishing, and to identify factors influencing the likelihood of card removal. Design/methodology/approach: The study used fishery and aquaculture trade data from 2004 to 2020 from the European Market Observatory for Fisheries and Aquaculture Products on 26 carded countries. Major analytic tools applied in this study include OLS, Panel Random Effect, Logit and Probit Models. Findings: The study confirmed that being carded by the EU for IUU fishing significantly negatively impacted countries' fishery trade flows, especially in the case of red cards. Furthermore, increases in capture of wild fish and corruption reduced the likelihood of having the card removed. Research limitations/implications: An important limitation of this study is that it did not account for the influence of other major industry players (such as Japan, USA, China) on the country's overall trade flows. Notwithstanding, it explored how certain variables reduced the likelihood of card removal, finding that countries with higher levels of corruption and fish capture were less likely to have their cards revoked, putting them at a further disadvantage. The findings are especially important in the context of the fishing industry which supports local economies in many developing countries that are usually the target of such coercive measures. Restricted trade flows are especially damaging to small-scale fishers who are often forgotten in the global fight against IUU fishing. This study brings attention to the carding system's potential for trade disruptions and future applications of this sanctioning mechanism should take this under advisement. Originality/value: Studies of the EU carding system's produced effects remain scarce, with existing ones focusing either on individual countries or on the mechanism's general potential for curbing IUU fishing. Considering the global nature of the fishing industry and the harmful potential of the carding system for vulnerable coastal communities, this study attempted to achieve a broader and more in-depth understanding of the EU carding system's effects by examining all countries that were carded for IUU fishing from the enforcement of the IUU Regulation until 2020.

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Prego, Ricardo, Antonio Cobelo-García, Juan Santos-Echeandía, Maite De Castro, Natalia Ospina-Alvarez, and Mar García-Pérez. "Estuary-ria exchange of cadmium, lead and zinc in the coastal system of the Ria of Vigo (NW Iberian Peninsula)." Scientia Marina 74, S1 (2010): 77–87. http://dx.doi.org/10.3989/scimar.2010.74s1077.

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Lavoie, Caroline, Reinhard Pienitz, and Michel Allard. "Diatom flora of the Nastapoka River delta: an emerging coastal system on the eastern shore of Hudson Bay, subarctic Quebec." Nova Hedwigia 83, no. 1-2 (2006): 31–51. http://dx.doi.org/10.1127/0029-5035/2006/0083-0031.

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Sahu, P. N., B. K. Sahoo, A. K. Hota, and B. Bisoyi. "Piara Sowing of Rabi Pulses After Rice At South Coastal Orissa, India." International Rice Research Newsletter 13, no. 6 (1988): 47. https://doi.org/10.5281/zenodo.7146214.

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This article 'Piara Sowing of Rabi Pulses After Rice At South Coastal Orissa, India' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

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Sahu, P. N., A. K. Padhi, and A. K. Hota. "A Rice-Grain Legume Cropping System for South Coastal Orissa, India." International Rice Research Newsletter 13, no. 6 (1988): 46. https://doi.org/10.5281/zenodo.7146212.

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This article 'A Rice-Grain Legume Cropping System for South Coastal Orissa, India' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

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Patil, B. P., V. N. Khade, S. A. Khanvilkar, and J. H. Dongale. "Irrigated Rice-Based Cropping Strategies in Coastal Maharashtra." International Rice Research Newsletter 12, no. 1 (1987): 35. https://doi.org/10.5281/zenodo.7122294.

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This article 'Irrigated Rice-Based Cropping Strategies in Coastal Maharashtra' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

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B, Deivasigamani. "Fish Market and Marketing System in the Cuddalore DistrictChidambaram and Parangipettai Regions." International Journal of Oceanography & Aquaculture 7, no. 3 (2023): 1–16. http://dx.doi.org/10.23880/ijoac-16000249.

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The fish production in the country in 2022 was 8.13 million tonnes, of which 4.2 million tonnes was contributed by the marine sector and the rest by inland sector. Fish and fish products accounted for approximately Rs.9,200 crore towards country’s exports, which constitutes 20% of the national agricultural exports. Marine fisheries sector forms the source of livelihood for over 7.5 million traditional fishermen inhabiting about 5,600 coastal fishing villages situated along the country’s coastal belt. It provides direct and indirect employment for several million people in fishing, processing, trading and ancillary activities. The present study aims to find out the marketing problems of fisherman in Chidambaram and Parangipettai Villages in the Cuddalore District. A large number of people are concerned with fish production, distribution and marketing systems in both the fish markets of the Cuddalore District, viz., the Chidambaram fish market and the Parangipettai fish market. The main aim of this study is to describe the present status of fish marketing system of fish and dry fish products. The description is based on primary data and secondary data collected in the different markets.

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Wang, Xiujuan, and Xuerong Li. "Deep Learning in Chinese Text Information Extraction Model for Coastal Biodiversity." International Journal on Semantic Web and Information Systems 19, no. 1 (2023): 1–15. http://dx.doi.org/10.4018/ijswis.331756.

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In the coastal areas of China, scientists have collected nearly 500 species of coastal plants and seaweeds. The collected information includes species description, morphological characteristics, habitat distribution and resource value of plants in China. By effectively extracting Chinese text information, this article establishes a Chinese text information extraction model based on DL. This article is based on short-term and short-term memory artificial neural networks for short text classification. In addition, this article also integrates the L-MFCNN models of MFCNN for short text classification. Comparing the two methods with traditional text recognition algorithms, information extraction based on syntax analysis and deep learning, the results show that, compared with the comparison method, the recognition accuracy of Chinese text information of this neural network model can reach 96.69%. Through model training and parameter adjustment, Chinese text information of coastal biodiversity can be quickly extracted, and species categories or names can be identified.

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Devoto, Stefano, Linley J. Hastewell, Mariacristina Prampolini, and Stefano Furlani. "Dataset of Gravity-Induced Landforms and Sinkholes of the Northeast Coast of Malta (Central Mediterranean Sea)." Data 6, no. 8 (2021): 81. http://dx.doi.org/10.3390/data6080081.

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This study investigates gravity-induced landforms that populate the North-Eastern coast of Malta. Attention is focused on tens of persistent joints and thousands of boulders associated with deep-seated gravitational slope deformations (DGSDs), such as lateral spreads and block slides. Lateral spreads produce deep and long joints, which partially isolate limestone boulders along the edge of wide plateaus. These lateral spreads evolve into large block slides that detach thousands of limestone boulders from the cliffs and transport them towards the sea. These boulders are grouped in large slope-failure deposits surrounding limestone plateaus and cover downslope terrains. Gravity-induced joints (n = 124) and downslope boulders (n = 39,861) were identified and categorized using Google Earth (GE) images and later validated by field surveys. The datasets were digitized in QGIS and stored using ESRI shapefiles, which are common digital formats for storing vector GIS data. These types of landslides are characterized by slow-moving mechanisms, which evolve into destructive failures and present an elevated level of risk to coastal populations and infrastructure. Hundreds of blocks identified along the shore also provide evidence of sinkholes; for this reason, the paper also provides a catalogue of sinkholes. The outputs from this research can provide coastal managers with important information regarding the occurrence of coastal geohazards and represent a key resource for future landslide hazard assessment.

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Brito, R. S., M. C. Almeida, N. Silva, S. Barreto, and F. Veríssimo. "Assessing intermittent saline inflows in urban water systems." Water Science and Technology 85, no. 1 (2021): 90–103. http://dx.doi.org/10.2166/wst.2021.622.

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Abstract Urban water drainage systems' primary function is to transport sanitary or stormwater. The intrusion of saline waters has recognized detrimental effects. Especially in coastal areas, saline inflows can compromise performance by increasing the risk of untreated discharges, weakening the structural condition of concrete or metallic components, reducing the effectiveness of wastewater treatment processes and limiting the potential reuse for irrigation. Performance deterioration can be prevented by an early assessment of exposure to saline water, followed by timely actions to control its causes and consequences. The paper describes a procedure for diagnosing undue saline inflows. The procedure is based on the determination of saline inflow's magnitude, acceptance levels, and contribution to the system's performance. Contextual factors and performance indicators, and their reference values, are selected for the assessment. Options to address the problem are proposed, depending on the results. These options can relate to organizational, operational, and structural actions. Application to a case study allowed to validate the method and discuss the results. Here, saline volumes entering the system are quite relevant (almost 30%), posing problems regarding corrosion, treatment plant operation and significant concrete exposure to intermittent saline waters.

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