在安康盆地对酸盐污染的地下水脆弱性评估:使用优化的DRASTIC-LY方法
Tian Hui1, Xiao Changlai2, Xu Honggen3
1Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China; Changsha Natural Resources Comprehensive Survey Center, China Geological Survey, Changsha 410600, China; Xi'an Mineral Resources Survey Center, China Geological Survey, Xi'an 710000, China; College of New Energy and Environment, Jilin University, Changchun 130021, China E-mail: 359585977@qq.com; 549166670@qq.com.
Journal of water and health
|September 27, 2023
概括
这项研究通过结合土地利用和资源产量来增强地下水脆弱性评估的DRASTIC模型. 修改后的模型提供了更准确的风险映射,有助于保护水资源的努力.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 水资源管理 水资源管理
背景情况:
- 评估地下水的脆弱性对于保护水资源至关重要.
- 像DRASTIC这样的现有模型可能需要针对特定区域特征进行改进.
- 土地利用和地下水产量显著影响污染物运输.
研究的目的:
- 修改DRASTIC模型以改善地下水脆弱性评估.
- 将土地使用类型和地下水资源产量纳入脆弱性评估.
- 为了比较修改后的模型与原来的DRASTIC和DRASTIC-LY方法的性能.
主要方法:
- 保持了DRASTIC模型的基本结构.
- 增加了土地使用类型和地下水资源产量参数.
- 修改了现有参数的评级尺度和权重.
- 通过原始和修改模型生成的脆弱性地图进行比较.
主要成果:
- 修改后的DRASTIC-LY模型显示,与原始模型相比,研究区域的40.49%具有显著差异.
- 非常高和高脆弱性区域发生了转移,非常高的脆弱性区域下降 (2.79%至1.67%) 和高 (18.70%至28.86%) 的脆弱性区域增加.
- 修改后的模型与实际条件有很强的相关性 (Pearson's r=0.8291),表现优于原始模型.
- 在汉河和富家河沿线确定了特定的高脆弱性区域.
结论:
- 修订后的DRASTIC-LY模型提供了更准确,更具体的评估地下水的脆弱性.
- 土地利用和地下水产量参数的整合提高了该模型的适用性.
- 这些发现为政府的水资源保护战略提供了宝贵的数据.
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