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沈北新区浅层地下水环境风险空间特征评价 被引量:2

Environmental Risk Spatial Assessment of Shallow Groundwater in Shenbei Area
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摘要 以城市扩张和农业集约经营交错的典型区域--沈阳沈北新区为例,以浅层地下水为研究对象,在地下水污染采样、检测、分析和水文地质资料收集处理的基础上,结合自然灾害风险理论,从脆弱性、胁迫性、功能性及适应性4个方面选取适宜指标,建立评价指标体系,构建了地下水环境风险评价模型;借助ArcGIS软件的数据统计和空间分析功能,进行了浅层地下水环境风险分级及空间格局特征评价,并将评价结果与土地利用和社会经济特征指标进行了相关性分析,探讨自然地质条件、城市扩张和农业集约经营对地下水环境的影响,为城乡交错带开发建设过程中土地利用优化和水环境管理决策提供参考. Taking Shenbei Area of Shenyang City as an example, which is a typical area of urban expansion and intensive agricultural development, shallow groundwater was taken as research object, based on the sampling, detection, analysis and hydrogeological data collection and treatment of groundwater pollution, combined with the theory of natural disaster risk, the appropriate indicators were selected from four aspects: vulnerability, coercion, function and adaptability, and an evaluation index system was established, a groundwater environmental risk assessment model was constructed. With the data statistics and spatial analysis functions of ArcGIS software, the shallow groundwater environmental risk grading and spatial pattern characteristics evaluation were carried out, and the evaluation results were correlated with land use and socio-economic characteristics. The effects of natural geological conditions, urban expansion and agricultural intensive management on groundwater environment were discussed, which provided reference for land use optimization and water environment management decision-making during the development and construction of urban-rural fringe.
作者 高世乾 魏建兵 郑尧文 张娜 石新竹 刘景琦 GAO Shiqian;WEI Jianbing;ZHENG Yaowen;ZHANG Na;SHI Xinzhu;LIU Jingqi(Key Laboratory of Eco-restoration of Regional Contaminated Environment,Shenyang University, Shenyang 110044, China)
出处 《沈阳大学学报(自然科学版)》 CAS 2019年第3期195-202,共8页 Journal of Shenyang University:Natural Science
基金 国家自然科学基金资助项目(41771200,41171399) 沈阳大学研究生创新资助项目(sdycx2017005)
关键词 沈北新区 地下水 城市扩张 农业集约化经营 环境风险评价 Shenbei Area groundwater urban expansion agricultural intensification development environmental risk assessment
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