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在结构控制的硬岩水层中改善地下水脆弱性评估:从线位密度和土地使用/土地覆盖模式的洞察力

Afreen Haidery¹, Rashid Umar²

¹Department of Geology, Aligarh Muslim University, Aligarh, 202002, UP, India.

Environmental monitoring and assessment

|July 10, 2024

概括

印度的地下水脆弱性

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:

评估地下水的脆弱性对于可持续的水资源管理至关重要.
由于复杂的地质构成,硬岩含水层对脆弱性测绘提出了独特的挑战.
季节性变化显著影响地下水脆弱性,需要动态评估方法.

研究的目的:

进行全面的季节性评估,对Swarnrekha流域的地下水脆弱性进行评估.
为了比较传统和修改的DRASTIC模型,包括线状密度 (Ld) 和土地利用/土地覆盖 (LULC),以实现最佳的脆弱性映射.
用酸盐度来地化学验证模型输出.

主要方法:

在DRASTIC和农药DRASTIC (P-DRASTIC) 模型中整合线层密度 (Ld) 和土地利用/土地覆盖 (LULC).
六个修改模型的开发和比较:DRASTIC-Ld,DRASTIC-Lu,DRASTIC-LdLu,P-DRASTIC-Ld,P-DRASTIC-Lu,和P-DRASTIC-LdLu.这些模型的设计和比较
地质化学验证使用68个井的季风前和季风后酸盐 (NO3-) 度.

主要成果:

地下水的脆弱性表现出显著的季节性变化,超过45%的地区在季风前表现出高至非常高的脆弱性,在季风后增加到约67%.
农业和工业主导的南部地区显示出更高的脆弱性.
经过修改的模型DRASTIC-LdLu和P-DRASTIC-LdLu显示了更好的准确性,但在地化学验证时,DRASTIC-LdLu显示了最佳性能.

结论:

季节性地下水脆弱性评估对于硬岩地形的有效水资源管理至关重要.
结合线条密度和土地使用/土地覆盖,可显著提高脆弱性测绘模型的准确性.
建议使用DRASTIC-LdLu模型来准确评估研究区域的地下水脆弱性,同时考虑季节动态和地化学验证.

关键词:

岩石的格尼斯基水层.地下水的地下水.内在和特定的脆弱性内部和特定的脆弱性线纹密度线纹密度模型验证模型验证经过修改的DRASTIC模型.灵敏度分析是一种灵敏度分析.

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