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| 太湖流域典型平原地区浅层地下水脆弱性研究 | |
| 引用本文： | 马天海,朱晓明,潘扎荣.太湖流域典型平原地区浅层地下水脆弱性研究[J].地下水,2014(6):53-56. |
| 作者姓名： | 马天海 朱晓明 潘扎荣 |
| 作者单位： | 1. 南京大学金陵学院,江苏 南京,210089 2. 河海大学环境学院,江苏 南京,210098 3. 南京大学地球科学与工程学院水科学系,江苏 南京,210093 |
| 基金项目： | 国家高技术研究发展计划(863计划)资助项目 |
| 摘 要： | 以太湖流域典型平原地区苏州市为例,结合研究区水文地质特点,选取浅层地下水水位埋深等6项参数作为评价因子,建立基于墒权的浅层地下水脆弱性评价DRITuTmE模型。将评价模型与GIS技术相耦合,形成研究区浅层地下水脆弱性分区图,并进行研究区浅层地下水脆弱性评价。评价研究结果表明：所建立的评价模型避免了人为因素的干扰,能够真实地反映苏州市浅层地下水脆弱性程度。 |
| 关 键 词： | 浅层地下水 地下水脆弱性 DRITuTmE模型 墒权 GIS 苏州市 |
Study on Vulnerability Assessment of Shallow Groundwater in the Typical Plain Area in the Taihu Basin |
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| MA Tian-hai,ZHU Xiao-ming,PAN Za-rong.Study on Vulnerability Assessment of Shallow Groundwater in the Typical Plain Area in the Taihu Basin[J].Groundwater,2014(6):53-56. | |
| Authors: | MA Tian-hai ZHU Xiao-ming PAN Za-rong |
| Institution: | MA Tian - hai , ZHU Xiao - ming , PAN Za - rong ( 1. Jinling Institute of Nanjing University, Nanjing 210089, Jiangsu ; 2. College of Environmental Science and Engineering, Hohai University, Nanjing 210098, Jiangsu ; 3. Department of Water Sciences , School of Earth Sciences and Engineering , Nanjing University , Nanjing 210093 , Jiangsu) |
| Abstract: | Here presents the study on shallow groundwater vulnerability（ SGWV） assessment for Suzhou city,a typical plain area in the Taihu Basin in China. According to the specific geological conditions of the area,groundwater depth and other five parameters are selected as assessment factors,and the DRITu Tm E model based on entropy weight is established to assess the SGWV in Suzhou plain area. Based on the assessment model and GIS technique,the SGWV assessment is conducted and the vulnerability distribution map is drawn. The assessment result shows that the improved model can eliminate subjective errors and can reflect the shallow groundwater vulnerability characteristics of the study area,and the result is useful for the shallow groundwater utilization and protection. |
| Keywords: | Shallow groundwater groundwater vulnerability DRITuTmE model entropy weight GIS Suzhou city |
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