Groundwater Quality Analysis for Wardha, Maharashtra, India

IF 1 Q4 ENGINEERING, CIVIL Jordan Journal of Civil Engineering Pub Date : 2023-10-01 DOI:10.14525/jjce.v17i4.02

Ashay Shende

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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

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印度马哈拉施特拉邦瓦尔达地下水水质分析

干旱和半干旱地区严重依赖地下水来满足其水需求，特别是当地下水是饮用水和其他人类需求的唯一和有限资源时。主要问题是农业和工业活动对地下水的过度消耗，地下水回灌率低，地下水中杂质渗透，影响地下水的质量和数量。利用地理信息系统(GIS)和水质指数(WQI)对干旱半干旱区地下水水质变化进行了研究。通过分析30年(1990 - 2019年)样本生成的数据库在68个采样点上存在空间差异，并根据指定用途对数据集进行分类。利用地理信息系统(GIS)确定了研究区地下水中化学成分的分布，并基于WQI对水质进行了分类。镁、硝酸盐和硫酸盐的最大浓度分别为307.6 mg/L、600.16 mg/L和890.0 mg/L，但由于变化巨大，整体水质在边际和良好之间变化。研究区东南部和西南部主要受电导率、总硬度、氯化物和硫酸盐浓度高的影响。GIS与WQI的结合为地下水特征的空间变化提供了新的知识。该综合模型为土地利用规划者和决策者提供了地下水资源管理方面的宝贵信息。关键词:地下水，地下水水质指数，GIS，空间分布

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来源期刊

Jordan Journal of Civil Engineering ENGINEERING, CIVIL-

CiteScore

2.10

自引率

27.30%

发文量

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.