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运用多元统计分析、自组织映射和水质指数对巴基斯坦阿扎德克什米尔地区巴格县地下水水文地球化学与水质进行综合评估

Integrated assessment of groundwater hydrogeochemistry and quality using multivariate statistical analysis, self-organizing maps, and water quality indices in District Bagh, AJK, Pakistan.

作者信息

Basharat Usman, Zhang Wenjing, Abbasi Arshad, Mahroof Sehrish, Han Cuihong, Khan Shoukat Husain, Li Shuxin

机构信息

Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun 130021, China.

Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun, 130021, China; College of New Energy and Environment, Jilin University, Changchun 130021, China.

出版信息

Ecotoxicol Environ Saf. 2025 Aug;301:118515. doi: 10.1016/j.ecoenv.2025.118515. Epub 2025 Jun 13.

Abstract

Groundwater is a critical resource in the District Bagh, Azad Jammu & Kashmir, Pakistan, but its quality is deteriorating due to anthropogenic and natural impacts. This study evaluates the hydrochemistry and quality of groundwater using an integrated approach that includes Multivariate Statistical Analysis, Self-Organizing Maps, Weighted Arithmetic Water Quality Index, Multiple Linear Regression and Irrigation Water Quality Indices. The study revealed significant differences in physicochemical characteristics, such as cations and anions in the groundwater samples, suggesting both natural and anthropogenic impacts. Pearson shows EC has a strong positive correlation with Na (r = 0.75) and Cl (r = 0.73), along with a robust correlation between Na and Cl (r = 0.98), highlighting their significant roles in groundwater's ionic content. Geochemical interactions, salinity, ion exchange, and anthropogenic activities are identified as essential factors influencing groundwater quality using factor analysis. Hydrogeochemistry is significantly influenced by lithology: halite dissolution Cl⁻ input (Na⁺/Cl⁻ = 1.039); rock formation promotes silicate weathering and Na⁺ release (Na⁺/Cl⁻ > 1); gypsum dissolution (Ca²⁺/SO₄²⁻ = 12.085); and carbonate weathering (Ca²⁺ + Mg²⁺/HCO₃⁻ = 1.232). Chloro-alkaline indices (CAI-I = -0.039, CAI-II = 0.007) suggest carbonate undersaturation. The SOM results showed that 64 neurons generated the hydrochemical properties of groundwater and were organized into four clusters, identifying areas with varied salinity, ionic content, and buffering capability. The computed WA-WQI scores vary from 8.45 to 122.03. MLR was applied to create a new WQI equation that includes four variables. The model shows that turbidity has the highest beta coefficient of 0.40 and is a major contributor to the classification of groundwater. The irrigation water quality investigation revealed that most of the irrigation indexes are suitable for agricultural use, with minor hazards of soil sodicity and permeability difficulties. These findings highlight the importance of ongoing monitoring and specific management measures for ensuring sustainable groundwater supplies.

摘要

地下水是巴基斯坦阿扎德克什米尔地区巴格县的一种关键资源,但其质量正因人为和自然影响而恶化。本研究采用综合方法评估地下水的水化学和质量,该方法包括多元统计分析、自组织映射、加权算术水质指数、多元线性回归和灌溉水质指数。研究揭示了地下水样品中阳离子和阴离子等物理化学特征的显著差异,表明存在自然和人为影响。皮尔逊相关性分析表明,电导率(EC)与钠(r = 0.75)和氯(r = 0.73)呈强正相关,同时钠和氯之间也存在强相关性(r = 0.98),突出了它们在地下水中离子含量方面的重要作用。通过因子分析确定,地球化学相互作用、盐度、离子交换和人为活动是影响地下水质量的重要因素。水文地球化学受岩性的显著影响:石盐溶解导致氯离子输入(Na⁺/Cl⁻ = 1.039);岩石形成促进硅酸盐风化和钠离子释放(Na⁺/Cl⁻ > 1);石膏溶解(Ca²⁺/SO₄²⁻ = 12.085);以及碳酸盐风化(Ca²⁺ + Mg²⁺/HCO₃⁻ = 1.232)。氯碱指数(CAI-I = -0.039,CAI-II = 0.007)表明碳酸盐不饱和。自组织映射结果表明,64个神经元生成了地下水的水化学性质,并被组织成四个簇,确定了盐度、离子含量和缓冲能力不同区域。计算得到的加权算术水质指数(WA-WQI)分数在8.45至122.03之间。应用多元线性回归创建了一个包含四个变量的新水质指数方程。该模型表明,浊度的β系数最高,为0.40,是地下水分类的主要贡献因素。灌溉水质调查表明,大多数灌溉指标适合农业使用,存在轻微的土壤碱化和渗透性困难风险。这些发现突出了持续监测和具体管理措施对于确保可持续地下水供应的重要性。

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