基于农业生产胁迫下的地下水脆弱性评价与分析  

Vulnerability assessment of groundwater under the stress of agricultural production

作　　者：左欣[1,2] 江涛[1,3] 张岱伟 

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266590 [2]中国科学院遥感与数字地球研究所,北京100101 [3]海岛(礁)测绘技术国家测绘局重点实验室,山东青岛266590 [4]中国测绘科学研究院,北京100830

出　　处：《环境污染与防治》2017年第5期472-479,共8页Environmental Pollution & Control

基　　金：国家自然科学基金资助项目(No.41471331);国家科技部科技支撑计划课题(No.2012BAH27B04);国家级大学生创新创业项目(No.201410424010);山东省高等学校科技计划项目(No.J14LH05)

摘　　要：以山东省农业大市济宁市为研究区,在充分考虑地下水埋深、含水层介质等7个典型影响因子的同时,将含水层厚度、污染物毒性、污染物迁移性、污染物降解性纳入评价体系,对国际主流DRASTIC模型进行了因子扩充。综合运用地理信息系统(GIS)空间分析、熵值权重等技术,建立了基于农业生产胁迫下的地下水脆弱性评价模型,并进行了定性的评价分析。结果表明:济宁市地下水脆弱性总体呈现由西北向东南递减的空间格局,统计得到脆弱性很高区域占总面积的8.16%;梁山县的农业生产胁迫严重,地下水脆弱性很高;微山县的地下水脆弱性较低,受污染风险较小。Based on the geology,meteorology,hydrology and the remote sensing data,this study regarded the li-ning City as the study site which was a city based on agriculture in Shandong Province. Meanwhile seven typical inde-xes were taken into consideration including the thickness of the aquifer, contaminant toxicity, migratory aptitude and degradation. It was an important supplement of the method of DRASTIC, which was the most popular and advanced method to evaluate the groundwater vulnerability. Moreover,the groundwater vulnerability evaluation model was built based on GIS spatial analysis and the entropy-based weight. The results showed that the groundwater vulnerability gradually present a spatial pattern from northwest to southeast in Jining City, with the highest vulnerability accounted for 8.16% of the total area. Liangshan had the most severe agriculture production stress and the highest groundwater vulnerability. Moreover,Weishan had lower groundwater vulnerability and lower pollution risk.

关 键 词：农业生产 地下水污染 脆弱性评价 地理信息系统空间分析 DRASTIC 

分 类 号：X824[环境科学与工程—环境工程]