{"title":"印度恒河水质遥感预测:回归与误差分析","authors":"S. Shakhari, A. K. Verma, I. Banerjee","doi":"10.1109/ICTKE47035.2019.8966796","DOIUrl":null,"url":null,"abstract":"Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis\",\"authors\":\"S. Shakhari, A. K. Verma, I. Banerjee\",\"doi\":\"10.1109/ICTKE47035.2019.8966796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.\",\"PeriodicalId\":442255,\"journal\":{\"name\":\"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE47035.2019.8966796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE47035.2019.8966796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis
Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.