探索热带河流盆地饮用水质量的水化驱动因素,使用自组织地图和可解释的AI
Ajayakumar Appukuttan1, C D Aju2, Rajesh Reghunath1
1Department of Geology, University of Kerala, Trivandrum, India.
Water research
|May 30, 2025
概括
印度的地下水质量.
科学领域:
- 水文地质学 水文地质学
- 环境科学 环境科学
- 水资源管理 水资源管理
背景情况:
- 评估地下水质量对于可持续的水资源至关重要,特别是在依赖地下水用于家庭和农业用途的地区.
- 热带地区由于特定的地质和气候因素,在维持地下水质量方面面临独特的挑战.
研究的目的:
- 调查印度南部伊蒂卡拉河流域地下水的水化学特性.
- 通过水地化学方法,无监督学习和可解释的人工智能 (XAI) 来评估饮用水质量.
主要方法:
- 对111个地下水样本进行主要离子,水化学面和水质指数的分析.
- 自组织地图 (SOM) 的应用用于集群地下水类型.
- 使用随机森林模型和SHAP分析进行预测建模和特征重要性.
主要成果:
- 通过SOM确定了三个不同的地下水集群,其中占主导地位的是Na+-Cl−和混合的Ca2+-Na+-HCO3−.
- 89.4%的样本显示出基于透水质量指数 (EWQI) 的良好的饮用水质量.
- Na+,K+和总溶解固体 (TDS) 被确定为导致水质恶化的关键因素.
结论:
- SOM和XAI的整合为了解地下水化学和演变提供了一个强大的框架.
- 结果指导了像伊蒂卡拉这样的热带河流盆地的可持续地下水管理策略.
- 该研究强调了监测人类对地下水质量的影响的重要性.
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