Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.2166/hydro.2016.086 |
Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region | |
Roy, Tirthankar1,2,3; Schuetze, Niels1; Grundmann, Jens1; Brettschneider, Marco1,4; Jain, Ashu | |
通讯作者 | Roy, Tirthankar |
来源期刊 | JOURNAL OF HYDROINFORMATICS
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ISSN | 1464-7141 |
EISSN | 1465-1734 |
出版年 | 2016 |
卷号 | 18期号:4页码:666-686 |
英文摘要 | A surrogate modeling framework is developed in this study to circumvent the computational burden of high-fidelity numerical groundwater models for arid coastal aquifers. Two different surrogate models, namely, artificial neural network (ANN) and Gaussian process model (GPM) are trained to replace the computationally expensive numerical flow and transport model OpenGeoSys. A novel time-dependent training scheme is introduced which helps the surrogates in tracking the discrete-time state-space trajectories of the high-fidelity model, thereby making them suitable for variable-time simulations. The surrogates are also tested in the extrapolation range corresponding to some extreme boundary conditions such as a very high rate of extraction. Both the surrogates show comparable accuracy in efficiently approximating the numerical model response; however, ANN is found to be much faster than GPM for the size of the data used. The trained surrogates are then used in developing a long-term planning and management framework for analyzing feasible management scenarios in the coastal aquifer of Oman. |
英文关键词 | artificial neural network coastal aquifers evolution strategies Gaussian process model optimal groundwater management surrogate modeling |
类型 | Article |
语种 | 英语 |
国家 | Germany ; India ; USA ; France |
收录类别 | SCI-E |
WOS记录号 | WOS:000379214900005 |
WOS关键词 | SIMULATION-OPTIMIZATION MODEL ; GENETIC ALGORITHMS ; REMEDIATION DESIGN ; SYSTEM ; VERIFICATION ; ADAPTATION ; STRATEGIES |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Civil ; Environmental Sciences ; Water Resources |
WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
来源机构 | University of Arizona |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/194501 |
作者单位 | 1.Tech Univ Dresden, Inst Hydrol & Meteorol, Bergstr 66, D-01069 Dresden, Germany; 2.Indian Inst Technol, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India; 3.Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA; 4.AXA Global P&C, 9 Ave de Messine, F-75018 Paris, France |
推荐引用方式 GB/T 7714 | Roy, Tirthankar,Schuetze, Niels,Grundmann, Jens,et al. Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region[J]. University of Arizona,2016,18(4):666-686. |
APA | Roy, Tirthankar,Schuetze, Niels,Grundmann, Jens,Brettschneider, Marco,&Jain, Ashu.(2016).Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region.JOURNAL OF HYDROINFORMATICS,18(4),666-686. |
MLA | Roy, Tirthankar,et al."Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region".JOURNAL OF HYDROINFORMATICS 18.4(2016):666-686. |
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