{"title":"印度马哈拉施特拉邦瓦尔达地下水水质分析","authors":"Ashay Shende","doi":"10.14525/jjce.v17i4.02","DOIUrl":null,"url":null,"abstract":"Arid and semi-arid regions significantly depend upon groundwater to meet their water demand, especially when groundwater is the only and limited resource for drinking and other human needs. The primary concerns are the excessive consumption of groundwater for agricultural and industrial activities, low recharge rate and percolation of impurities in groundwater, affecting groundwater quality and quantity. This study was performed to identify the variation in the water quality of groundwater of arid or semi-arid regions using geographical information system (GIS) and water-quality index (WQI). The database generated by analyzing samples of 3 decades (1990 to 2019) spatially varied over 68 sampling locations and the dataset was classified based on designated use. The dispersal of chemical constituents in groundwater over the study area was determined using GIS and water quality was classified based on WQI. The maximum concentrations of magnesium, nitrates and sulphates were found to be 307.6 mg/L, 600.16 mg/L and 890.0 mg/L, respectively, but the overall water quality was found varying between marginal and good due to tremendous variations. The southeastern and southwestern parts of the study area were found to be majorly affected with high concentrations of electrical conductivity, total hardness, chlorides and sulphates. Integrating GIS and WQI gives new knowledge on the spatial variation in groundwater characteristics for designated use. The integrated model derives valuable information for land-use planners and decision-makers on groundwater-resource management. KEYWORDS: Groundwater, Groundwater-quality index, GIS, Spatial distribution","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Groundwater Quality Analysis for Wardha, Maharashtra, India\",\"authors\":\"Ashay Shende\",\"doi\":\"10.14525/jjce.v17i4.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Arid and semi-arid regions significantly depend upon groundwater to meet their water demand, especially when groundwater is the only and limited resource for drinking and other human needs. The primary concerns are the excessive consumption of groundwater for agricultural and industrial activities, low recharge rate and percolation of impurities in groundwater, affecting groundwater quality and quantity. This study was performed to identify the variation in the water quality of groundwater of arid or semi-arid regions using geographical information system (GIS) and water-quality index (WQI). The database generated by analyzing samples of 3 decades (1990 to 2019) spatially varied over 68 sampling locations and the dataset was classified based on designated use. The dispersal of chemical constituents in groundwater over the study area was determined using GIS and water quality was classified based on WQI. The maximum concentrations of magnesium, nitrates and sulphates were found to be 307.6 mg/L, 600.16 mg/L and 890.0 mg/L, respectively, but the overall water quality was found varying between marginal and good due to tremendous variations. The southeastern and southwestern parts of the study area were found to be majorly affected with high concentrations of electrical conductivity, total hardness, chlorides and sulphates. Integrating GIS and WQI gives new knowledge on the spatial variation in groundwater characteristics for designated use. The integrated model derives valuable information for land-use planners and decision-makers on groundwater-resource management. KEYWORDS: Groundwater, Groundwater-quality index, GIS, Spatial distribution\",\"PeriodicalId\":51814,\"journal\":{\"name\":\"Jordan Journal of Civil Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jordan Journal of Civil Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14525/jjce.v17i4.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jordan Journal of Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14525/jjce.v17i4.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Groundwater Quality Analysis for Wardha, Maharashtra, India
Arid and semi-arid regions significantly depend upon groundwater to meet their water demand, especially when groundwater is the only and limited resource for drinking and other human needs. The primary concerns are the excessive consumption of groundwater for agricultural and industrial activities, low recharge rate and percolation of impurities in groundwater, affecting groundwater quality and quantity. This study was performed to identify the variation in the water quality of groundwater of arid or semi-arid regions using geographical information system (GIS) and water-quality index (WQI). The database generated by analyzing samples of 3 decades (1990 to 2019) spatially varied over 68 sampling locations and the dataset was classified based on designated use. The dispersal of chemical constituents in groundwater over the study area was determined using GIS and water quality was classified based on WQI. The maximum concentrations of magnesium, nitrates and sulphates were found to be 307.6 mg/L, 600.16 mg/L and 890.0 mg/L, respectively, but the overall water quality was found varying between marginal and good due to tremendous variations. The southeastern and southwestern parts of the study area were found to be majorly affected with high concentrations of electrical conductivity, total hardness, chlorides and sulphates. Integrating GIS and WQI gives new knowledge on the spatial variation in groundwater characteristics for designated use. The integrated model derives valuable information for land-use planners and decision-makers on groundwater-resource management. KEYWORDS: Groundwater, Groundwater-quality index, GIS, Spatial distribution
期刊介绍:
I am very pleased and honored to be appointed as an Editor-in-Chief of the Jordan Journal of Civil Engineering which enjoys an excellent reputation, both locally and internationally. Since development is the essence of life, I hope to continue developing this distinguished Journal, building on the effort of all the Editors-in-Chief and Editorial Board Members as well as Advisory Boards of the Journal since its establishment about a decade ago. I will do my best to focus on publishing high quality diverse articles and move forward in the indexing issue of the Journal.