Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jhydrol.2016.12.011 |
An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model | |
Chen, Mingjie; Izady, Azizallah; Abdalla, Osman A. | |
通讯作者 | Chen, Mingjie |
来源期刊 | JOURNAL OF HYDROLOGY
![]() |
ISSN | 0022-1694 |
EISSN | 1879-2707 |
出版年 | 2017 |
卷号 | 544页码:591-603 |
英文摘要 | Simulation-optimization method entails a large number of model simulations, which is computationally intensive or even prohibitive if the model simulation is extremely time-consuming. Statistical models have been examined as a surrogate of the high-fidelity physical model during simulation-optimization process to tackle this problem. Among them, Multivariate Adaptive Regression Splines (MARS), a non parametric adaptive regression method, is superior in overcoming problems of high-dimensions and discontinuities of the data. Furthermore, the stability and accuracy of MARS model can be improved by bootstrap aggregating methods, namely, bagging. In this paper, Bagging MARS (BMARS) method is integrated to a surrogate-based simulation-optimization framework to calibrate a three-dimensional MODFLOW model, which is developed to simulate the groundwater flow in an arid hardrock-alluvium region in northwestern Oman. The physical MODFLOW model is surrogated by the statistical model developed using BMARS algorithm. The surrogate model, which is fitted and validated using training dataset generated by the physical model, can approximate solutions rapidly. An efficient Sobol’ method is employed to calculate global sensitivities of head outputs to input parameters, which are used to analyze their importance for the model outputs spatiotemporally. Only sensitive parameters are included in the calibration process to further improve the computational efficiency. Normalized root mean square error (NRMSE) between measured and simulated heads at observation wells is used as the objective function to be minimized during optimization. The reasonable history match between the simulated and observed heads demonstrated feasibility of this high-efficient calibration framework. (C) 2016 Elsevier B.V. All rights reserved. |
英文关键词 | Groundwater MODFLOW Surrogate Calibration Bagging MARS |
类型 | Article |
语种 | 英语 |
国家 | Oman |
收录类别 | SCI-E |
WOS记录号 | WOS:000392767000050 |
WOS关键词 | METAMODELING TECHNIQUES ; GEOTHERMAL PROSPECT ; TRANSPORT ; SUPPORT |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Engineering ; Geology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/200560 |
作者单位 | Sultan Qaboos Univ, Water Res Ctr, Muscat, Oman |
推荐引用方式 GB/T 7714 | Chen, Mingjie,Izady, Azizallah,Abdalla, Osman A.. An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model[J],2017,544:591-603. |
APA | Chen, Mingjie,Izady, Azizallah,&Abdalla, Osman A..(2017).An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model.JOURNAL OF HYDROLOGY,544,591-603. |
MLA | Chen, Mingjie,et al."An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model".JOURNAL OF HYDROLOGY 544(2017):591-603. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。