肥城盆地石横电厂水源地岩溶水系统地下水管理模型

为防治肥城盆地区域地下水位持续下降，科学管理盆地地下水资源，建立了盆地内岩溶水系统地下水优化管理模型．并采用改进单纯形法求解该模型，取得了较好地效果。首先根据1994年11月1日～1997年7月31日历时33个月盆地内各用水部门岩溶水开采量调查资料、地下水位长观资料等，采用有限单元法建立了盆地岩溶地下水流数值模型；然后在对盆地内2001年水资源开发利用现状及存在问题进行分析的基础上．提出了盆地内岩溶地下水资源的开源节流措施．并指出通过开源节流、加强管理、优化水量分配方案、控制开采、积极外引客水资源等措施．有望控制住盆地内地下水位持续下降。最后采用响应矩阵法耦合地下水流数值模型与优化模型建立了管理模型。在求解方法上．对于因资源不足而无解时，可在形成背景水位时．根据既定的供水优先秩序，对优先级较低的用户分配较少的资源，通过试算的方法求得当前资源约束下的满意解。

Groundwater resource management model of Karst groundwater system in the water supplying field for Shiheng electric power plant in the Feicheng basin

In order to prevent and cure regional groundwater head decline continually in Feicheng basin, manage groundwater resource, a groundwater management model for the Karst groundwater system has been constructed, modified simplex method was adopted to solve this model, and achieved a good result. First, a FEM numerical model for Karst groundwater system has been constructed based on the information of extraction of each water-user and long -term serial of water head form 1994.11.01 to 1997.07.31. Then, some measures to broaden the sources of income and reduce expenditure have been brought forward for the karst groundwater resource in the basin based on the analysis of development and usage and existing problem of current status in 2001, and pointed out it is possible to control the regional groundwater head decline continually in the basin by adopting measures of broadening income and reducing outcome, reinforcing management,optimizing assignment of water resource, controlling extraction, introducing water resource from outside of the basin. Finally, coupling the groundwater flow numerical model and optimization model constructed management model using response matrix method. On the solving method, for the situation of non-solution caused by the shortage of resource, it is effective to get the satisfaction solution under the current resource constraints by trial and error, during the calculation of background water head, less water resource was assigned to the user with low priority.