南四湖流域硝酸盐浓度预测及土地利用类型对地下水的影响

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Journal of Hazardous Materials Pub Date : 2025-01-13 DOI:10.1016/j.jhazmat.2025.137185
Javed Iqbal, Chunli Su, Hasnain Abbas, Jiaqi Jiang, Zhantao Han, Muhammad Yousuf Jat Baloch, Xianjun Xie
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引用次数: 0

摘要

地下水在世界范围内普遍面临着人为硝酸盐污染的威胁,特别是在以集约化农业为特征的地区。本研究考察了南四湖流域的地下水水质,重点研究了硝态氮(NO3—N)污染。利用422个地下水样本,研究了水化学动力学和土地利用对地下水组成的影响。主要方法包括水文地球化学分析、主成分分析法和邓肯比较法。创新之处在于使用多层感知器人工神经网络(MLP-ANNs)预测NO3—N污染。结果表明,NO3—N含量范围为0.004 ~ 177.72 mg/L,约43.6%的样品超过安全饮用水限值10 mg/L (WHO 2022)。含水层内主要离子浓度存在显著的空间变异性,其中NO3——N的波动最为显著。影响地下水水化学组成的因素包括补给源、水岩相互作用、地下水环境、土地利用模式和相关的人为活动。值得注意的是,土地利用类型,主要是农田和农村地区,与NO3—N表现出强烈的关联。mlp - ann对NO3—N的预测精度较高,AUC为0.85。MLP-ANN模型发现,以密集浅井(60米)为特征的中部和东南部地区对硝酸盐污染的敏感性较高,关键因素包括氮肥过度使用、农业径流、生活污水排放和化粪池系统泄漏。集约化农业用地下的高渗透性松散岩石孔隙水系统加剧了这种脆弱性。这项研究阐明了影响地下水质量的自然过程和人为活动之间的复杂相互关系,提供了有价值的观点,可以指导制定旨在促进可持续地下水利用和环境保护的政策和做法。
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Prediction of Nitrate Concentration and the Impact of Land Use Types on Groundwater in the Nansi Lake Basin
Groundwater faces a pervasive threat from anthropogenic nitrate contamination worldwide, particularly in regions characterized by intensive agricultural practices. This study examines groundwater quality in the Nansi Lake Basin (NSLB), emphasizing nitrate (NO3--N) contamination. Utilizing 422 groundwater samples, it investigates hydrochemical dynamics and the impact of land use on groundwater composition. Key methods include hydrogeochemical analysis, PCA, and the Duncan comparison method. The innovative aspect lies in using Multilayer Perceptron Artificial Neural Networks (MLP-ANNs) to predict NO3--N contamination. The results showed that NO3--N levels ranged from 0.004 to 177.72 mg/L, with approximately 43.6% of the samples exceeding the safe drinking water limit of 10 mg/L (WHO 2022). Substantial spatial variability in the concentrations of major ions within aquifers, with NO3--N exhibiting the most significant fluctuations. The factors responsible for the hydrochemical composition of groundwater include recharge sources, water-rock interaction, prevailing groundwater environment, land use patterns, and related anthropogenic activities. Notably, land use types, primarily farmland and rural areas, exhibited a strong association with NO3--N. The MLP-ANNs achieved high prediction accuracy for NO3--N, with an AUC of 0.85. The MLP-ANN model identified heightened susceptibility to nitrate contamination in the central and southeastern regions, characterized by dense shallow wells (<60 m). Key factors include nitrogen-based fertilizer overuse, agricultural runoff, domestic wastewater discharge, and septic system leakage. The vulnerability is exacerbated by highly permeable loose rock pore water systems underlying intensively cultivated agricultural lands. This study elucidates the complex interrelation between natural processes and anthropogenic activities that influence groundwater quality, providing valuable perspectives that could guide the formulation of policies and practices aimed at promoting sustainable groundwater utilization and environmental conservation.
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来源期刊
Journal of Hazardous Materials
Journal of Hazardous Materials 工程技术-工程:环境
CiteScore
25.40
自引率
5.90%
发文量
3059
审稿时长
58 days
期刊介绍: The Journal of Hazardous Materials serves as a global platform for promoting cutting-edge research in the field of Environmental Science and Engineering. Our publication features a wide range of articles, including full-length research papers, review articles, and perspectives, with the aim of enhancing our understanding of the dangers and risks associated with various materials concerning public health and the environment. It is important to note that the term "environmental contaminants" refers specifically to substances that pose hazardous effects through contamination, while excluding those that do not have such impacts on the environment or human health. Moreover, we emphasize the distinction between wastes and hazardous materials in order to provide further clarity on the scope of the journal. We have a keen interest in exploring specific compounds and microbial agents that have adverse effects on the environment.
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