摘要
为了准确识别华北平原浅层地下水超采变化和控制因素,通过收集分析华北平原浅层地下水埋深分布及动态资料,基于典型潜水监测站2005-2015年的监测数据,结合全国水资源公报选取代表年分析华北平原地下水埋深分布并通过BP神经网络方法确定了超采区浅层地下水变化的控制因素。研究表明:2005-2015年华北平原地下水除北京少部分地区埋深减少外,其余大部分均表现出埋深持续增加的特征;人工开采地下水是影响华北平原浅层地下水的控制因素。
In order to exactly identify the variation and the controlling factors of shallow groundwater over-exploitation in North China Plain,we collected and analyzed the shallow groundwater depth distribution and regime data in North China Plain.The representative year was selected to analyze the distribution of groundwater depth in North China Plain based on the data of hydrological factors of the typical shallow groundwater observation stations from 2005 to 2015,and by combining with the national water resources bulletin.The controlling factor affecting the variation of shallow groundwater in overdraft areas was identified by the Back-Propagation(BP)neural network analysis method.The results indicates that most areas of North China Plain show a continuous increase in buried depth except for a few areas.Artificial groundwater exploitation is the controlling factor affecting shallow groundwater in North China Plain.
作者
卫磊
杨桂莲
鲁程鹏
孙龙
于钋
李岩
WEI Lei;YANG Guilian;LU Chengpeng;SUN Long;YU Po;LI Yan(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;Information Center of the Ministry of Water Resources,Beijing 100053,China)
出处
《水资源与水工程学报》
CSCD
2019年第6期39-44,共6页
Journal of Water Resources and Water Engineering
基金
国家重点研发计划课题(2018YFC0407701)
江苏省自然科学基金项目(BK20181035)
河海大学中央高校基本科研业务费项目(2019B10514)
关键词
浅层地下水埋深
降水量
地下水供水量
BP神经网络
地下水超采区
华北平原
shallow groundwater depth
precipitation
groundwater supply
BP neural network
overexploited area of groundwater
North China Plain