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作 者:袁丽 袁希平[1,2] 甘淑 李承军[3] 子林波 Yuan Li;Yuan Xiping;Gan Shu;Li Chengjun;Zi Linbo(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093;Research Centre for Applied Engineering of Plateau Mountain Spatial Information Mapping Technology of Yunnan Provincial Universities,Kunming 650093;Yunnan Tong Yuan Land Affairs Co.,Ltd.,Dali 671000)
机构地区:[1]昆明理工大学国土资源工程学院,昆明650093 [2]云南省高校高原山地空间信息测绘技术应用工程研究中心,昆明650093 [3]云南同元土地事务有限责任公司,大理671000
出 处:《上海环境科学》2018年第3期97-102,共6页Shanghai Environmental Sciences
基 金:云南省自然科学基金项目,编号:2015FA016;国家自然科学基金项目,编号:41561083
摘 要:以滇东南岩溶山区的砚山县为研究区,构建地下水脆弱性评价模型(DRIVALE),对研究区的地下水环境脆弱性进行评价。DRIVALE模型选用地下水位埋深、表层岩溶、渗透条件、植被覆盖、含水层介质、土地利用和地下水富水性7个因子作为评价指标,运用层次分析法计算各项因子的权重。研究模型使用矢量数据结合遥感影像,采用栅格数据的加权总和方法,运用ArcGIS软件叠加分析功能中的加权总和对各因子进行加权总和分析,评价出研究区的地下水脆弱性。对评价结果进行分级,将砚山县地下水脆弱性分为高度脆弱区、较高脆弱区、中等脆弱区、一般脆弱区和潜在脆弱区5个等级。研究结果表明:(1)砚山县地下水脆弱性普遍较高,受地下水本身的地质条件与自然环境属性的影响较大;(2)运用栅格数据评价地下水脆弱性,评价结果较为精准,但结果较为离散,不便于分区化管理;(3)DRIVALE模型充分考虑了影响地下水脆弱性的地质与自然环境条件等多方面因素,具有广泛适用于滇东南岩溶山区地下水脆弱性评价的潜在性。Taking Karst mountainous area in Yanshan County of the south-eastern Yunnan as a study area,a DRIVALE model was constructed to be used for assessing the vulnerability of groundwater environment there.Seven factors of groundwater depth,surface Karst,infiltration conditions,vegetation coverage,aquifer media,land use and richness of groundwater were chosen as evaluating indices,and the weight of each factor was calculated by using AHP to construct the DRIVALE model.Using the vector data combined with remote sensing images,adopting a weighted summation method for grid data and applying the weighted summation in superposition analytical function of the ArcGIS software,the weighted summation for each factor was analysed to evaluate the vulnerability of groundwater in the study area.According to the evaluation,the groundwater vulnerability in Yanshan County could be graduated as five grades:highly,rather highly,moderately,generally and potentially vulnerable.It has shown that:(1)groundwater in Yanshan County is commonly highly vulnerable with being greatly affected by the geological conditions of groundwater itself and the natural environment attributes;(2)using grid data to evaluate the vulnerability could attain relatively precise results but rather discrete and hard to do zoning management;(3)the DRIVALE model has adequately taken into account of geological and environmental factors influencing the groundwater vulnerability,so that it could be a potential to be extensively applied to the vulnerability assessment for groundwater in Karst mountainous area of the south-eastern Yunnan.
关 键 词:地下水 脆弱性 DRIVALE模型 地理信息系统 岩溶山区
分 类 号:P641.8[天文地球—地质矿产勘探]
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