考虑地面沉降约束的地下水模拟优化管理模型

南京大学学报(自然科学版) ›› 2016, Vol. 52 ›› Issue (3): 470–478.

考虑地面沉降约束的地下水模拟优化管理模型

杨　蕴1，朱　琳2*，林　锦3，王锦国1

出版日期:2016-07-02 发布日期:2016-07-02
作者简介:1.河海大学地球科学与工程学院，南京，210098；
2.首都师范大学，北京，100048；
3.南京水利科学研究院，南京，210029
基金资助:
国家自然科学基金(41402198)，江苏省基础研究计划(自然科学基金)——青年基金(BK20131009)

Simulationoptimization modeling for groundwater management considering land subsidence

Yang Yun1，Zhu Lin2*，Lin Jin3，Wang Jinguo1

Online:2016-07-02 Published:2016-07-02
About author:1.School of Earth Sciences and Engineering，Hohai University，Nanjing，210098，China；
2.Capital normal University，Beijing，100048，China；
3.Nanjing Hydranlic Research Institute，Nanjing，210029，China

摘要/Abstract

摘要： 为了解决地面沉降区地下水资源科学管理这一个重要的资源与环境地质问题，基于模拟优化(S－O)模型的思想，建立了考虑地面沉降约束的地下水模拟优化管理模型(SUBGO)．模拟模型采用地下水模拟程序MODFLOW－2005中的地面沉降模拟子程序SUB WT来模拟地面沉降过程．优化模型分别采用遗传算法(GA)和小生境Pareto禁忌遗传混合算法(NPTSGA)分别求解单目标和多目标的优化设计方案．将SUBGO管理模型应用于一个理想场地含水层中地下水开采方案和地面沉降控制的优化设计中，结果表明基于GA的单目标优化和基于NPTSGA的多目标优化均能搜索到全局最优解和全局分布的Pareto最优解，均能够在控制地面沉降的约束条件下，设计合理的地下水开采利用方案．与单目标相比，多目标优化能够为决策者提供多个解作为管理决策方案，同时多目标优化还提高了寻优的计算效率．

Abstract: A linked simulationoptimization(S－O)model(SUBGO)is developed for deriving multiple objective management strategies for rational utilization of groundwater resources and disaster mitigation considering constraints of land subsidence.The SUB WT，which is the compaction package of MODFLOW2005，is used to generate inputoutput patterns of groundwater extraction rates and vertical compaction.The genetic algorithm(GA)and the niched Pareto tabu search combined with a genetic algorithm(NPTSGA)are incorporated with SUB WT model to find global optimal solution for single objective optimization problem and to generate Paretooptimal solutions set for multiobjective optimization problem.The performance of the presented simulationoptimization model is evaluated through a synthetic example application.The optimization results indicate that both the GAbased single objective optimization and NPTSGAbased multiobjective optimization can obtain the optimal groundwater pumping schemes under different constraints.Compared with single objective optimization，multiobjective optimization can provide multiple Paretooptimal solutions for decisionmaking and the computational efficiency is greatly improved.

杨　蕴1，朱　琳2*，林　锦3，王锦国1. 考虑地面沉降约束的地下水模拟优化管理模型[J]. 南京大学学报(自然科学版), 2016, 52(3): 470–478.

Yang Yun1，Zhu Lin2*，Lin Jin3，Wang Jinguo1. Simulationoptimization modeling for groundwater management considering land subsidence
[J]. Journal of Nanjing University(Natural Sciences), 2016, 52(3): 470–478.

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