南京大学学报(自然科学版) ›› 2019, Vol. 55 ›› Issue (3): 349360.doi: 10.13232/j.cnki.jnju.2019.03.002
所属专题: 测试专题
杨 蕴1*,宋 健2,朱 琳3,吴剑锋2,王锦国1
Yang Yun1*,Song Jian2,Zhu Lin3,Wu Jianfeng2,Wang Jinguo1
摘要: 基于核函数极限学习机(Kernel extreme learning machine,KELM)方法建立地下水-地面沉降耦合的替代模型,与混合多目标算法(Non-dominated Sorting Genetic Algorithm II,NSGAII)相耦合,实现在地面沉降约束下(沉降速率和地下水位红线)地下水资源合理开发利用和地面沉降防控减灾的多目标优化. 以三维均质多层含水系统中抽水引发的地面沉降算例为对象,采用MODFLOW-2005中的地面沉降模拟子程序(Subsidence for the water table,SUB-WT)模拟地面沉降过程,基于KELM方法,采用线下和线上两种模式建立替代模型,分别构建了基于线下地面沉降替代模型的多目标管理模型(KELM model based multi-objective optimization model for land subsidence management,KELM&MOLS)和基于自适应(线上)替代模型的多目标管理模型(Adaptive KELM&MOLS,AKELM&MOLS). 模拟优化结果显示:(1)基于线上模式训练的替代模型的模拟精度更高,拟合相关系数达0.9988以上,基本接近SUB-WT模拟模型的评价精度;(2)KELM&MOLS优化求解效率提高了15倍,但其搜索的Pareto解的质量最差,AKELM&MOLS求解效率提高了3倍,同时保证了优化解的收敛性和精度.
中图分类号:
[1] Koster K,Erkens G,Zwanenburg C. A new soil mechanics approach to quantify and predict land subsidence by peat compression. Geophysical Research Letters,2016,43(20):10792-10799. [2] Guo H P,Zhang Z C,Cheng G M,et al. Groundwater-derived land subsidence in the North China Plain. Environmental Earth Sciences,2015,74(2):1415-1427. [3] Cao G L,Han D M,Moser J. Groundwater exploitation management under land subsidence constraint:Empirical evidence from the Hangzhou-Jiaxing-Huzhou Plain,China. Environmental Management,2013,51(6):1109-1125. [4] 闫世龙,王焰新,马 腾等. 内陆新生代断陷盆地区地面沉降机理及模拟——以山西省太原市为例. 武汉:中国地质大学出版,2006,2-3.(Yan S L,Wang Y X,Ma T,et al. Mechanism and simulation of land subsidence in the Cenozoic inland faulted basin:A case study of Taiyuan City,Shanxi Province,China. Wuhan:China University of Geosciences Press,2006,2-3.) [5] 薛禹群. 论地下水超采与地面沉降. 地下水,2012,6:1-5.(Xue Y Q. Discussion on groundwater overexploitation and ground settlement. Ground Water,2012,6:1-5.) [6] Teatini P,Tosi L,Strozzi T. Quantitative evidence that compaction of Holocene sediments drives the present land subsidence of the Po Delta,Italy. Journal of Geophysical Research:Solid Earth,2011,116(B8):B08407,doi:org/10.1029/2010JB008122 [7] Cui Z. Land subsidence induced by the engineering-environmental effect. Springer Berlin Heidelberg,2018,10-12. [8] 杨 蕴,朱 琳,林 锦等. 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),2016,52(3):470-478.(Yang Y,Zhu L,Lin J,et al. Simulation-optimization modeling for groundwater management considering land subsidence. Journal of Nanjing University(Natural Sciences),2016,52(3):470-478.) [9] 宋 健,吴剑锋,杨 蕴等. 基于含水层DNAPL污染修复替代模型的多目标优化研究. 中国环境科学,36(11):3390-3396.(Song J,Wu J F,Yang Y,et al. A Kriging-based surrogate model for multi-objective optimization of DNAPL-contaminated aquifer remediation. China Environmental Science,2016,36(11):3390-3396.) [10] Hussain M S,Javadi A A,Ahangar-Asr A,et al. A surrogate model for simulation-optimization of aquifer systems subjected to seawater intrusion. Journal of Hydrology,2015,523:542-554. [11] Chen C W,Wei C C,Liu H J,et al. Application of neural networks and optimization model in conjunctive use of surface water and groundwater. Water Resources Management,2014,28(10):2813-2832. [12] Ketabchi H,Ataie-Ashtiani B. Evolutionary algorithms for the optimal management of coastal groundwater:a comparative study toward future challenges. Journal of Hydrology,2015,520:193-213. [13] Song J,Yang Y,Wu J F,et al. Adaptive surrogate model based multiobjective optimization for coastal aquifer management. Journal of Hydrology,2018,561:98-111. [14] Leake S A,Galloway D L. MODFLOW groundwater mode-user guide to the subsidence and aquifer-system compaction Package(SUB-WT)for water-table aquifers. U S Geological Survey Techniques and Methods 6-A23,2016-12-02. https://pnbs.usgs.gov/tm/2007/06A23/. [15] Leake S A,Galloway D L. Use of the SUB-WT package for MODFLOW to simulate aquifer-system compaction in Antelope Valley,California,USA ∥ Carreon-Freyre D,Cerca M,Callongn D L. Land subsidence,associated hazards and the role of natural resources development: Proceedings. Santiago de Querétaro,Mexico:IAHS Publication,2010,39:61-67. [16] Zhu L,Gong H L,Li X J,et al. Land subsidence due to groundwater withdrawal in the northern Beijing plain,China. Engineering Geology,2015,193:243-255. [17] 杜思思. 海河平原地下水与地面沉降模型模拟研究. 博士学位论文. 北京:中国地质大学(北京),2011.(Du S S. Study on the model of groundwater and land subsidence in Haihe river basin. Ph. D. Dissertation. Beijing:China University of Geosciences(Beijing),2011.) [18] Huang G B,Zhu Q Y,Siew C K. Extreme learning machine:theory and applications. Neurocomputing,2006,70(1-3):489-501. [19] Deb K,Pratap A,Agarwal S,et al. A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ. IEEE Transactions on Evolutionary Computation,2006,6(2):182-197. |
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