摘要
南方岩溶流域的地表水与地下水转换频繁,地下水环境对人类活动响应敏感,地下水环境脆弱。为探索岩溶流域地下水脆弱性评价的方法,以岩溶流域为评价对象,选取植被覆盖率、地形坡度、土壤类型、地下水水位埋深、地下水补给模数、土地利用类型6个指标,通过改进DRASTIC模型的评价指标体系,建立了基于VTSDRL模型的岩溶流域地下水脆弱性评价指标体系。以香溪河岩溶流域地下水为例,利用层次分析法计算了评价指标权重,基于地理信息系统的叠加分析功能对香溪河岩溶流域地下水脆弱性进行了定量评价。结果表明:香溪河岩溶流域地下水脆弱性以中等脆弱区为主,占比达到86.6%;地下水补给模数和土地利用类型对地下水脆弱性的影响作用最强,地下水脆弱性高的区域主要分布于溶丘洼地区,其面临农业活动污染的风险最大。该研究可为我国南方岩溶流域地下水脆弱性评价和岩溶水资源保护提供参考。
The surface water and groundwater are frequently converted in karst basins.The karst water is highly sensitive to human activities and so its groundwater is highly vulnerable.In order to explore the method of groundwater vulnerability assessment in karst basins,this paper modifies the DRASTIC model evaluation index system and establishes the index system for groundwater vulnerability assessment of karst basin based on VTSDRL model by using the groundwater system as the basic evaluation unit and selecting six indicators,namely,vegetation coverage,terrain slope,soil type,groundwater table depth,groundwater recharge modulus and land use type.Then the paper uses the Analytic Hierarchy Process to calculate the weight of the evaluation index in the case study of Xiangxi River karst basin.The groundwater vulnerability is quantitatively evaluated based on the superposition analysis function of the GIS.The results show that the groundwater vulnerability of the Xiangxi River karst basin can be divided into four types:the low-fragile,medium-fragile,high-fragile and extreme-fragile areas accounted for 4.9%,86.6%,8.4%and 0.1%,respectively.The paper provides reference for groundwater vulnerability assessment and protection of karst water resources in karst basins in southern China.
作者
贾晓青
刘建
罗明明
周宏
Jia Xiaoqing;Liu Jian;Luo Mingming;Zhou Hong(China University of Geosciences (Wuhan),Wuhan 430074,China;Changsha Zoomlion Environmental Industry Co.,Ltd.,Changsha 410206,China)
出处
《地质科技情报》
CAS
CSCD
北大核心
2019年第4期255-261,共7页
Geological Science and Technology Information
基金
国家重点研发计划课题(2017YFC0406105)
国家自然科学基金项目(41807199)
中国地质调查局项目(12120113103800
DD20160304
DD20190327)
