{"title":"元济Shoa糖业地表水水质统计分析","authors":"","doi":"10.24425/jwld.2022.140778","DOIUrl":null,"url":null,"abstract":": Quality assessment of shallow groundwater table is very important because it is the water that recharges deeper aquifers and constantly feeds the water levels of our surface streams and wetlands. Continuous monitoring of large number of quality parameters is essential for effective maintenance of water quality through appropriate control measures. However, it is very difficult and laborious task for regular monitoring of all the parameters even if adequate manpower and laboratory facilities are available. Therefore, this study presents the statistical analysis of physico-chemical parameters (pH, EC , TDS , Na, K, Ca, Mg, HCO 3 , Cl, CO 3 , SO 4 , TH , B, F) using correlation and Principal Component Analysis. The statistical analysis of the groundwater quality variables indicated that most of the variables are highly correlated. The strong correlation is an opportunity to develop a regression equation and monitor using few parameters. This provides an easy and rapid method of continuous groundwater quality monitoring. Moreover, groundwater of the area showed significant compositional variation. The compositional variability has implications for the source and origin of groundwater quality in the study area.","PeriodicalId":39224,"journal":{"name":"Journal of Water and Land Development","volume":"588 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical analysis of groundwater quality at Wonji Shoa Sugar Estate\",\"authors\":\"\",\"doi\":\"10.24425/jwld.2022.140778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Quality assessment of shallow groundwater table is very important because it is the water that recharges deeper aquifers and constantly feeds the water levels of our surface streams and wetlands. Continuous monitoring of large number of quality parameters is essential for effective maintenance of water quality through appropriate control measures. However, it is very difficult and laborious task for regular monitoring of all the parameters even if adequate manpower and laboratory facilities are available. Therefore, this study presents the statistical analysis of physico-chemical parameters (pH, EC , TDS , Na, K, Ca, Mg, HCO 3 , Cl, CO 3 , SO 4 , TH , B, F) using correlation and Principal Component Analysis. The statistical analysis of the groundwater quality variables indicated that most of the variables are highly correlated. The strong correlation is an opportunity to develop a regression equation and monitor using few parameters. This provides an easy and rapid method of continuous groundwater quality monitoring. Moreover, groundwater of the area showed significant compositional variation. The compositional variability has implications for the source and origin of groundwater quality in the study area.\",\"PeriodicalId\":39224,\"journal\":{\"name\":\"Journal of Water and Land Development\",\"volume\":\"588 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water and Land Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24425/jwld.2022.140778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water and Land Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24425/jwld.2022.140778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Statistical analysis of groundwater quality at Wonji Shoa Sugar Estate
: Quality assessment of shallow groundwater table is very important because it is the water that recharges deeper aquifers and constantly feeds the water levels of our surface streams and wetlands. Continuous monitoring of large number of quality parameters is essential for effective maintenance of water quality through appropriate control measures. However, it is very difficult and laborious task for regular monitoring of all the parameters even if adequate manpower and laboratory facilities are available. Therefore, this study presents the statistical analysis of physico-chemical parameters (pH, EC , TDS , Na, K, Ca, Mg, HCO 3 , Cl, CO 3 , SO 4 , TH , B, F) using correlation and Principal Component Analysis. The statistical analysis of the groundwater quality variables indicated that most of the variables are highly correlated. The strong correlation is an opportunity to develop a regression equation and monitor using few parameters. This provides an easy and rapid method of continuous groundwater quality monitoring. Moreover, groundwater of the area showed significant compositional variation. The compositional variability has implications for the source and origin of groundwater quality in the study area.
期刊介绍:
Journal of Water and Land Development - is a peer reviewed research journal published in English. Journal has been published continually since 1998. From 2013, the journal is published quarterly in the spring, summer, autumn, and winter. In 2011 and 2012 the journal was published twice a year, and between 1998 and 2010 it was published as a yearbook. . Papers may report the results of experiments, theoretical analyses, design of machines and mechanization systems, processes or processing methods, new materials, new measurements methods or new ideas in information technology. Topics: engineering and development of the agricultural environment, water managment in rural areas and protection of water resources, natural and economic functions of grassland.