Long-Term Evolution of Cones of Depression in Shallow Aquifers in the North China Plain
作者单位：Key Laboratory of Engineering GeomechanicsInstitute of Geology and GeophysicsChinese Academy of Sciences University of Chinese Academy of Sciences
会议名称：《中国科学院地质与地球物理研究所2013年度（第13届）学术年会》
会议日期：2014年
学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程]
关 键 词：numerical simulation South-to-North water diversion neural network algorithm simulated annealing algorithm
摘 要：The North China Plain(NCP) is one of the places where the groundwater is most over-exploited in the ***,our understanding on the spatiotemporal variability of the cones of depression in this region is *** study intends to simulate the cones of depression in the shallow aquifer across the entire NCP during the whole period from 1960 to *** the simulation,the dominant role of anthropogenic activities is emphasized and carefully taken into account using a Neural Network *** results show that cones of depression in the NCP were formed in 1970s and continuously expanded. Their centers were getting deeper with an increasing degree of groundwater exploitation. This simulation provides valuable insights for developing more sustainable groundwater management options after the implementation of the South-to-North Water Diversion Project (SNWDP),which is a very important surface water project in China in the near *** numerical model in this paper is built by MODFLOW,with pumpage data completed by neural network algorithm and hydrogeological parameters calibrated by simulated annealing *** on our long-term numerical model for regional groundwater flow in the NCP,one exploitation limitation strategy after the implementation of SNWDP is studied in this *** results indicate that the SNWDP is beneficial for groundwater recovery in the NCP.A number of immense groundwater cones will gradually ***,the recovery of the groundwater environment in the NCP will require a long time.