大连周水子海水入侵区地下水多目标优化管理模型
A multi-objective simulation-optimization model for optimal control of seawater intrusion in the Zhoushuizi district of Dalian
-
摘要: 将改进后的遗传算法GA（添加了小生境、Pareto解集过滤器等模块）与变密度地下水流及溶质运移模拟程序SEAWAT-2000相耦合，新开发了变密度地下水多目标模拟优化程序MOSWTGA。将MOSWTGA应用于求解大连周水子地区以控制抽水井所在含水层不发生海水入侵为约束的地下水开采多目标优化管理模型，得到地下水最大开采量与海水入侵面积之间一系列Pareto近似最优解。研究成果不仅为实行合理的地下水资源配置提供了科学的实用模型，同时也为解决多个优化目标下的变密度地下水优化管理问题提供高效可靠的模拟优化工具,具有重要的潜在环境经济效益。Abstract: A multi-objective simulation-optimization groundwater management code, namely MOSWTGA, is developed by coupling an improved genetic algorithm (adding probabilistic niched technique and the Pareto solution set filter) with a density-dependent groundwater flow and solute transport simulator, SEAWAT, to obtain the optimal strategies for utilization of groundwater resources. The MOSWTGA is used to solve the multi-objective simulation-optimization model for optimal groundwater abstraction strategies while preventing the pumping aquifer from seawater intrusion in the Zhoushuizi district of Dalian, and a set of Pareto near-optimal solutions of tradeoffs between the maximization of the total pumping rate and the minimization of the extent of seawater intrusion are obtained. This study, based on the real hydrogeology parameters and groundwater abstraction conditions, provides a practical framework for implementing a reasonable allocation of groundwater resource, as well as an efficient and reliable tool for solving density-dependent groundwater optimization management models associated with multiple objectives, potentially leading to significant environmental and economic benefits.
-
-
[1] ［1］Bear J, Cheng A D, Sorek S, et al. Seawater intrusion in coastal aquifers: concepts，methods and practices［M］. Theory and Application of Transport in Porous Media, V.15, Kluwer Academic Publisher, Dordrecht, Netherlands, 1999.
[2] ［2］周鹏鹏, 李国敏, 卢耀东, 等. 承压水潮汐荷载效应研究进展［J］.水文地质工程地质, 2014, 41(4): 38-44. ［ZHOU P P, LI G M, LU Y D, et al. Review of research on tidal loading effect on groundwater dynamics in confined aquifers［J］. Hydrogeology & Engineering Geology, 2014, 41(4): 38-44. (in Chinese)］
[3] ［3］Mantoglou A, Papantoniou M. Optimal design of pumping networks in coastal aquifers using sharp interface models［J］. Journal of Hydrology, 2008, 361:52-63.
[4] ［4］Kourakos G, Mantoglou A. Pumping optimization of coastal aquifers based on evolutionary algorithms and surrogate modular neural network models［J］. Advances in Water Resources, 2009, 32: 507-521.
[5] ［5］Elhamid A H, Javadi A. A cost-effective method to control seawater intrusion in coastal aquifers［J］. Water Resour Manage, 2011, 25: 2755-2780.
[6] ［6］杨蕴, 吴剑锋, 林锦, 等. 控制海水入侵的地下水多目标模拟优化管理［J］.水科学进展, 2015, 26(4): 579-588. ［YANG Y, WU J F, LIN J, et al. A multi-objective simulation-optimization model constrained by the potential seawater intrusion［J］. Advances in water Science, 2015, 26(4): 579-588. (in Chinese)］
[7] ［7］Kourakos G, Mantoglou A. Development of a multi-objective optimization algorithm using surrogate models for coastal aquifer management［J］. Journal of Hydrology, 2013, 479: 13-23.
[8] ［8］Park C H, Aral M M. Multi-objective optimization of pumping rates and well placement in coastal aquifers［J］. Journal of Hydrology, 2004, 290: 80-99.
[9] ［9］Abarca E, Vazquez-Sune E, Carrera J, et al. Optimal design of measures to correct seawater intrusion［J］. Water Resources Research, 2006, 42: W09415. doi: 10.1029/2005WR004524.
[10] ［10］Mantoglou A, Papantoniou M. Optimal design of pumping networks in coastal aquifers using sharp interface models［J］. Journal of Hydrology, 2008, 361: 52-63.
[11] ［11］林锦, 郑春苗, 吴剑锋, 等. 基于遗传算法的变密度条件下地下水优化管理模型［J］. 水利学报, 2007, 38(10): 1236-1644. ［LIN J, ZHENG C M, WU J F, et al. Ground water simulation optimization model based on genetic algorithm under variable density conditions［J］. Journal of Hydraulic Engineering, 2007, 38(10): 1236-1644. (in Chinese)］
[12] ［12］杨蕴. 多目标进化算法及其在地下水优化管理中的应用研究［D］. 南京：南京大学, 2012. ［YANG Y. Multi-objective evolutionary algorithms for Solving groundwater management model［D］. Nanjing: Nanjing University, 2012. (in Chinese)］
[13] ［13］Kourakos G, Mantoglou A. Simulation and multi-objective management of coastal aquifers in semi-arid region［J］. Water Resources Manage, 2011, 25: 1063-1074.
[14] ［14］Langevin C D, Shoemaker W B, Guo W X. MODFLOW-2000, the U.S.Geological Survey modular ground water model-documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT)［R］. U S: Geological Survey Open File Report,2003.
[15] ［15］Zhao J, Lin J, Wu J F, et al. Numerical modeling of seawater intrusion in Zhoushuizi district of Dalian City in northern China［J］. Environmental Earth Sciences, 2016, 75(9): 1-18.
[16] ［16］赵洁，林锦，吴剑锋, 等. 大连周水子地区海水入侵数值模型［J］. 南京大学学报（自然科学版），2016，52（3）：479-489. ［ZHAO J, LIN J, WU J F, et al. Numerical modeling of seawater intrusion in Zhoushuizi District of Dalian City, China［J］. Journal of Nanjing University(Natural Science), 2016, 52(3): 479-489. (in Chinese)］
[17] ［17］薛禹群, 吴吉春, 谢春红,等. 莱州湾沿岸海水入侵及咸水运移研究［J］.科学通报， 1997, 42(22): 2360-2367. ［XUE Y Q, WU J C, XIE C H, et al. The research of seawater intrusion and saltwater transport in the southern coast of Laizhou Bay［J］. Chinese Science Bulletin, 1997, 42(22): 2360-2367. (in Chinese)］
[18] ［18］Environmental Protection Agency. Water quality criteria 1972［S］. Washington DC: U S Government Printing Office, 1973: 594.
-
期刊类型引用(13)
1. 周宇. 锦州市海水入侵现状及成因分析. 陕西水利. 2024(03): 104-107 . 
百度学术
2. 岳志良，谭利华，闫磊，刘港. 中间粗夹层对沿海含水层中地下坝上游残留盐水清除的影响. 中国农村水利水电. 2024(05): 122-130+146 . 百度学术
3. 张春鹏，查恩爽，张皎. 海水入侵实践教学方法及技能强化训练. 高教学刊. 2024(24): 124-127 . 百度学术
4. 王钊，闫淼. 广州市地下咸水化学特征及海水入侵来源探究. 南昌大学学报(工科版). 2024(04): 496-504 . 百度学术
5. 叶逾，蔡芳敏，谢一凡，井淼，鲁春辉. 系统维度对变密度溶质运移的影响研究. 水文地质工程地质. 2022(01): 146-153 . 本站查看
6. 孙乃波，庄会波，王尚玉，李成光，宋明政，陈学群. 滨海凝灰岩山丘区海水入侵成因研究. 水利水电技术(中英文). 2021(S1): 298-305 . 百度学术
7. 吕盼盼，宋健，吴剑锋，吴吉春. 水力屏障和截渗墙在海水入侵防治中的数值模拟研究. 水文地质工程地质. 2021(04): 32-40 . 本站查看
8. 杨林，黄栋声，李海良，刘振宇. 滨海盆地变密度地下水流与溶质运移三维耦合数值模型研究. 水利水电技术. 2020(03): 116-123 . 百度学术
9. 赵洁，林锦，吴剑锋，吴吉春. 地下水优化管理模型的参数求解性能及敏感性评价. 工程勘察. 2020(03): 32-37+78 . 百度学术
10. 赵洁，林锦，吴剑锋，吴吉春. 未来气候变化对大连周水子地区海水入侵程度的影响预测. 水文地质工程地质. 2020(03): 17-24 . 本站查看
11. 马婧，鲁春辉，吴吉春，罗剑. 一种可增加海岛地下淡水资源储量的方法研究. 水文地质工程地质. 2020(03): 1-7 . 本站查看
12. 李选彧. 未来气候变化对丹东市海水入侵程度的影响预测. 黑龙江水利科技. 2020(10): 59-64 . 百度学术
13. 章维明. 地下水污染预防的计算机辅助模型构建研究. 环境科学与管理. 2018(10): 71-74+146 . 百度学术
其他类型引用(9)
计量
- 文章访问数: 1138
- HTML全文浏览量: 33
- PDF下载量: 733
- 被引次数: 22
下载:
邮件订阅
RSS