摘要
为构建一套服务于当前最严格水资源管理制度建设的海水入侵区地下水管理控制水位划定方法,在对海水入侵区地下水管理控制水位概念界定的基础上,提出了地下水管理控制水位红线-黄线-蓝线分级模式,针对地下水不同阶段的管理需求,构建了基于人工神经网络方法的地下水合理水位计算方法和基于水资源调控模型的地下水管理控制水位计算方法,并以莱州市为例,开展了基于海水入侵预防目标下的地下水管理控制水位划定。结果表明,为有效防止海水入侵,莱州市全市的地下水开采规模应控制在6 850×104 m3以内,全市地下水合理水位(平均值)控制在7.69m以上,同时2015、2020、2030年的地下水管理控制水位应分别达到7.03、7.37、7.69m。
In order to build a set of delimiting method of management-based groundwater controltmg level, winch services for the construction of the most strict water resources management system in seawater intrusion region, based on the define of management-based groundwater controlling level in seawater intrusion region, a rating mode named ＂red line-yellow line-blue line＂ is proposed in the article. According to groundwater management at different stages, an artificial neural network networks based calculating method for a reasonable level of groundwater is built, and management-based groundwater controlling level based on water resource regulating model is calculated. It carried out the management-based groundwater controlling level based on the goal of preventing from seawater intruding in Laizhou City. The results show that for preventing seawater intrusion effectively, groundwater resources＇ mining scale of Laizhou City should be controlled bellow 68.5 million m^3 , and the reasonable water level （the average） should be controlled above 7.69 m; meanwhile the management-based groundwater controlling level is proposed to reach 7.03 m, 7. 37 m, 7.69 m in 2015, 2020, 2030 years.
出处
《水电能源科学》
北大核心
2015年第12期143-147,共5页
Water Resources and Power
基金
中央财政项目(1261421610004)
国家社科基金重大项目(12&ZD215)
河南省高校科技创新团队支持计划(13IRTSTHN030)
关键词
地下水
管理控制水位
人工神经网络
水资源调控模型
莱州市
groundwater
management of water level control
artificial neural networks
water resource regulating model
Laizhou City
