G. Shiva Kumar, P. Lakshmi Sruthi, P. Rajasekhar, F. Karaer
{"title":"Eutrophication assessment of a shallow lake using GIS","authors":"G. Shiva Kumar, P. Lakshmi Sruthi, P. Rajasekhar, F. Karaer","doi":"10.1109/ICCCT2.2014.7066701","DOIUrl":null,"url":null,"abstract":"Because of the rapidly increasing pollution in Lake Uluabat, which is one of the significant shallow lakes of Turkey and has been announced to be a Ramsar Area, eutrophic state evaluation based on geographic information system was performed. The eutrophication level of the lake is determined with the help of a 0 - 100 scale based on TSI calculations and secchi disc depth (SD), chlorophyll-a (Chl-a), total phosphorus (TP) and total nitrogen (TN) parameters. The TSI maps of four parameters were created using the Inverse Distance Weight (IDW) interpolation method. The final map showing the spatial distribution of trophic level was generated by synthesising the thematic maps of each indicator on the cell basis with the overlay technique. From the final map, the trophic level of the entire lake was characterized as eutrophic or more in all seasons studied during the year.","PeriodicalId":6860,"journal":{"name":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"71 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT2.2014.7066701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Because of the rapidly increasing pollution in Lake Uluabat, which is one of the significant shallow lakes of Turkey and has been announced to be a Ramsar Area, eutrophic state evaluation based on geographic information system was performed. The eutrophication level of the lake is determined with the help of a 0 - 100 scale based on TSI calculations and secchi disc depth (SD), chlorophyll-a (Chl-a), total phosphorus (TP) and total nitrogen (TN) parameters. The TSI maps of four parameters were created using the Inverse Distance Weight (IDW) interpolation method. The final map showing the spatial distribution of trophic level was generated by synthesising the thematic maps of each indicator on the cell basis with the overlay technique. From the final map, the trophic level of the entire lake was characterized as eutrophic or more in all seasons studied during the year.