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Assessing groundwater quality and its sustainability in Joypurhat district of Bangladesh using GIS and multivariate statistical approaches

机译:使用GIS和多元统计方法评估孟加拉国Joypurhat地区的地下水质量及其可持续性

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Sustainable groundwater quality is a key global concern and has become a major issue of disquiets in most parts of the world including Bangladesh. Hence, the assessment of groundwater quality is an important study to ensure its sustainability for various uses. In this study, a combination of multivariate statistics, geographical information system (GIS) and geochemical approaches was employed to evaluate the groundwater quality and its sustainability in Joypurhat district of Bangladesh. The results showed that the groundwater samples are mainly Ca-Mg-HCO3 type. Principal component analysis (PCA) results revealed that geogenic sources (rock weathering and cation exchange) followed by anthropogenic activities (domestic sewage and agro-chemicals) were the major factors governing the groundwater quality of the study area. Furthermore, the results of PCA are validated using the cluster analysis and correlation matrix analysis. Based on the groundwater quality index (GWQI), it is found that all the groundwater samples belong to excellent to good water quality domains for human consumption, although iron, fluoride and iodide contaminated to the groundwater, which do not pose any significant health hazard according to World Health Organization's and Bangladesh's guideline values. The results of irrigation water quality index including sodium adsorption ratio (SAR), permeability index and sodium percentage (Na %) suggested that most of the groundwater samples are good quality water for agricultural uses. The spatial distribution of the measured values of GWQI, SAR, Fe (iron), EC (electrical conductivity) and TH (total hardness) were spatially mapped using the GIS tool in the study area.
机译:可持续的地下水质量是全球关注的重点,在包括孟加拉国在内的世界大多数地区,已成为人们关注的主要问题。因此,评估地下水质量是一项重要的研究,以确保其在各种用途中的可持续性。在这项研究中,结合多元统计,地理信息系统(GIS)和地球化学方法被用来评估孟加拉国Joypurhat地区的地下水质量及其可持续性。结果表明,地下水样品主要为Ca-Mg-HCO3型。主成分分析(PCA)结果显示,地源(岩石风化和阳离子交换),其次是人为活动(家庭污水和农药)是决定研究区地下水质量的主要因素。此外,使用聚类分析和相关矩阵分析验证了PCA的结果。根据地下水水质指数(GWQI),发现所有地下水样品均属于人类食用的优良水质领域,尽管铁,氟和碘化物被地下水污染,但对人体健康没有明显危害。遵守世界卫生组织和孟加拉国的准则值。灌溉水质量指标包括钠吸附率(SAR),渗透率指标和钠百分比(Na%)的结果表明,大多数地下水样品是用于农业的优质水。在研究区域内使用GIS工具对GWQI,SAR,Fe(铁),EC(电导率)和TH(总硬度)的测量值进行了空间分布。

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