Liu Yu, Lan Shuang-Shuang, Zhang Yong-Xiang, Li Fang-Chun, Hou Shu-Kai
College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China.
Huan Jing Ke Xue. 2017 Oct 8;38(10):4236-4244. doi: 10.13227/j.hjkx.201704052.
The distribution patterns of human activities affecting groundwater vulnerability vary with time. Studying the temporal and spatial changes in groundwater vulnerability, exploring the distribution characteristics of each period, and predicting the trends of development are important to formulate an effective development plan and reduce the risk of groundwater pollution at the same time. Based on the hydrogeological data as well as humanities and social data for 2004, 2010, and 2016 for the Chaoyang District of Beijing, a comprehensive evaluation model considering the human factors such as the land use types was established using the DRASTIC model. The spatiotemporal pattern of groundwater vulnerability was quantitatively characterized by calculating the Global Moran's Ⅰ and Getis-Ord Gi index, and the distribution characteristics and variations in groundwater vulnerability were analyzed by the centroid of the G index and the standard deviation ellipse of the study area. The results indicate that in 2004, 2010, and 2016, the areas of high vulnerability have gradually reduced. The groundwater vulnerability in the study area shows a strong spatial aggregation; high concentration areas are mainly distributed in the northeast and southwest regions. The vulnerability of the northeast region has been decreasing each year, while the vulnerability of the northwest region has not changed much. The main reasons are the land use changes and the reductions in fertilizer use.
影响地下水脆弱性的人类活动分布模式随时间而变化。研究地下水脆弱性的时空变化,探索各时期的分布特征,并预测其发展趋势,对于制定有效的发展规划以及同时降低地下水污染风险具有重要意义。基于北京市朝阳区2004年、2010年和2016年的水文地质数据以及人文社会数据,利用DRASTIC模型建立了一个考虑土地利用类型等人为因素的综合评价模型。通过计算全局莫兰指数(Global Moran's Ⅰ)和Getis-Ord Gi指数,定量刻画了地下水脆弱性的时空格局,并利用G指数的质心和研究区域的标准差椭圆分析了地下水脆弱性的分布特征及变化情况。结果表明,2004年、2010年和2016年,高脆弱性区域逐渐减少。研究区域内的地下水脆弱性呈现出较强的空间聚集性;高浓度区域主要分布在东北部和西南部地区。东北地区的脆弱性逐年下降,而西北地区的脆弱性变化不大。主要原因是土地利用变化和化肥使用量的减少。