地下水管理模型求解方法综述  

Review on optimization methods for groundwater management models

作　　者：于福荣[1] 卢文喜[1] 李平[1] 辛欣[1] 

机构地区：[1]吉林大学环境与资源学院,长春130026

出　　处：《水文地质工程地质》2010年第2期27-31,共5页Hydrogeology & Engineering Geology

基　　金：国家自然科学基金项目(40672157)

摘　　要：地下水管理模型求解方法的研究是目前地下水管理领域的热点问题。本文从地下水管理模型传统优化算法和现代智能优化算法等方面进行了评述,着重讨论了目前应用较广泛的求解非线性地下水系统的优化算法,如遗传算法、模拟退火算法、人工神经网络算法等;阐述了地下水监测网优化设计研究以及多目标地下水管理模型的求解方法。最后指出应加强地下水动态规划管理模型和地下水系统随机管理模型的求解技术的研究。The study of solution methods of groundwater management model has become a hot issue in the field of groundwater management at present. In this paper, the traditional optimization algorithms and modern intelligent optimization algorithms of groundwater management models are introduced, and such optimization algorithms as genetic algorithm, simulated annealing, tabu search and artificial neural network that are applied widely in solving nonlinear groundwater systems are discussed in detail. Optimal designs of groundwater monitoring network and solution methods of groundwater multi-objective management models are also illustrated. It should be pointed out that the solution techniques of groundwater dynamic programming management models and groundwater system stochastic management models are needed to be strengthenedin the future.

关 键 词：地下水管理模型 优化算法 监测网设计 多目标管理模型 

分 类 号：P641.8[天文地球—地质矿产勘探]