M. Sirirwardane, M.A.D. Samanmali, Rangajeewa Rathnayake
{"title":"基于云的GIS方法监测斯里兰卡Kalutara沿海地区的环境污染","authors":"M. Sirirwardane, M.A.D. Samanmali, Rangajeewa Rathnayake","doi":"10.31357/JTFE.V5I1.2493","DOIUrl":null,"url":null,"abstract":"Geographic Information Systems (GIS) can be used as a powerful tool in many aspects of handling geospatial data. By considering the modern geospatial approaches, this research is focused on monitoring environmental pollution in the coastal zone of Kalutara area, with the objective of identification of existing natural resources. Green vegetation patches, water bodies and beech areas were detected using remote sensing techniques. A detailed GPS field survey was conducted and identified minor environmental resources with various pollution incidents. This information was used to improve the available data sets. The types of pollution incidents were categorised according to the severity level by considering the relationship to each natural resource. Maps were created and data was uploaded to the ArcGIS online cloud platform. Web services were hosted using this cloud infrastructure. Pollution incidents data layer has been given web based editing capabilities for field monitoring using GPS enabled mobiles. Field observations were conducted and locations of the pollution effects were uploaded into web maps from the field with related attributes. The hot spots were used to get better understanding and awareness of the environmental pollution. As the results, pollution incidents were identified and there was a significant effect to the minor environmental elements. The cloud infrastructure, helped to bring down the barriers of data sharing and the incident reporting mechanism became more convenient during the field observations.","PeriodicalId":17445,"journal":{"name":"Journal of Tropical Forestry","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cloud Based GIS Approach for Monitoring Environmental Pollution in the Coastal Zone of Kalutara, Sri Lanka\",\"authors\":\"M. Sirirwardane, M.A.D. Samanmali, Rangajeewa Rathnayake\",\"doi\":\"10.31357/JTFE.V5I1.2493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Geographic Information Systems (GIS) can be used as a powerful tool in many aspects of handling geospatial data. By considering the modern geospatial approaches, this research is focused on monitoring environmental pollution in the coastal zone of Kalutara area, with the objective of identification of existing natural resources. Green vegetation patches, water bodies and beech areas were detected using remote sensing techniques. A detailed GPS field survey was conducted and identified minor environmental resources with various pollution incidents. This information was used to improve the available data sets. The types of pollution incidents were categorised according to the severity level by considering the relationship to each natural resource. Maps were created and data was uploaded to the ArcGIS online cloud platform. Web services were hosted using this cloud infrastructure. Pollution incidents data layer has been given web based editing capabilities for field monitoring using GPS enabled mobiles. Field observations were conducted and locations of the pollution effects were uploaded into web maps from the field with related attributes. The hot spots were used to get better understanding and awareness of the environmental pollution. As the results, pollution incidents were identified and there was a significant effect to the minor environmental elements. The cloud infrastructure, helped to bring down the barriers of data sharing and the incident reporting mechanism became more convenient during the field observations.\",\"PeriodicalId\":17445,\"journal\":{\"name\":\"Journal of Tropical Forestry\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Tropical Forestry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31357/JTFE.V5I1.2493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Tropical Forestry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31357/JTFE.V5I1.2493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud Based GIS Approach for Monitoring Environmental Pollution in the Coastal Zone of Kalutara, Sri Lanka
Geographic Information Systems (GIS) can be used as a powerful tool in many aspects of handling geospatial data. By considering the modern geospatial approaches, this research is focused on monitoring environmental pollution in the coastal zone of Kalutara area, with the objective of identification of existing natural resources. Green vegetation patches, water bodies and beech areas were detected using remote sensing techniques. A detailed GPS field survey was conducted and identified minor environmental resources with various pollution incidents. This information was used to improve the available data sets. The types of pollution incidents were categorised according to the severity level by considering the relationship to each natural resource. Maps were created and data was uploaded to the ArcGIS online cloud platform. Web services were hosted using this cloud infrastructure. Pollution incidents data layer has been given web based editing capabilities for field monitoring using GPS enabled mobiles. Field observations were conducted and locations of the pollution effects were uploaded into web maps from the field with related attributes. The hot spots were used to get better understanding and awareness of the environmental pollution. As the results, pollution incidents were identified and there was a significant effect to the minor environmental elements. The cloud infrastructure, helped to bring down the barriers of data sharing and the incident reporting mechanism became more convenient during the field observations.