Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12517-016-2751-9 |
Toward reliable calibration of aquifer hydrodynamic parameters: characterizing and optimization of arid groundwater system using swarm intelligence optimization algorithm | |
Sadeghi-Tabas, S.1,2; Akbarpour, A.3; Pourreza-Bilondi, M.2; Samadi, S.4 | |
通讯作者 | Sadeghi-Tabas, S. |
来源期刊 | ARABIAN JOURNAL OF GEOSCIENCES
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ISSN | 1866-7511 |
EISSN | 1866-7538 |
出版年 | 2016 |
卷号 | 9期号:18 |
英文摘要 | Despite advanced development in computational techniques, the issue of how to adequately calibrate and minimize misfit between system properties and corresponding measurements remains a challenging task in groundwater modeling. Two important features of the groundwater regime, hydraulic conductivity (k) and specific yield (S-y), that control aquifer dynamic vary spatially within an aquifer system due to geologic heterogeneity. This paper provides the first attempt in using an advanced swarm-intelligence-based optimization algorithm (cuckoo optimization algorithm, COA) coupled with a distributed hydrogeology model (i.e., MODFLOW) to calibrate aquifer hydrodynamic parameters (S-y and k) over an arid groundwater system in east Iran. Our optimization approach was posed in a single-objective manner by the trade-off between sum of absolute error and the adherent swarm optimization approach. The COA optimization algorithm further yielded both hydraulic conductivity and specific yield parameters with high performance and the least error. Estimation of depth to water table revealed skillful prediction for a set of cells located at the middle of the aquifer system whereas showed unskillful prediction at the headwater due to frequent water storage changes at the inflow boundary. Groundwater depth reduced from east toward west and southwest parts of the aquifer because of extensive pumping activities that caused a smoothening influence on the shape of the simulated head curve. The results demonstrated a clear need to optimize arid aquifer parameters and to compute groundwater response across an arid region. |
英文关键词 | Cuckoo optimization algorithm MODFLOW Hydraulic conductivity Specific yield Arid aquifer |
类型 | Article |
语种 | 英语 |
国家 | Iran ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000390014100020 |
WOS关键词 | MODEL ; SURFACE |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/191474 |
作者单位 | 1.IUST, Dept Civil Engn, Tehran, Iran; 2.Univ Birjand, Dept Water Engn, Birjand, Iran; 3.Univ Birjand, Dept Civil Engn, Birjand, Iran; 4.Univ South Carolina, Dept Civil & Environm Engn, Columbia, SC 29208 USA |
推荐引用方式 GB/T 7714 | Sadeghi-Tabas, S.,Akbarpour, A.,Pourreza-Bilondi, M.,et al. Toward reliable calibration of aquifer hydrodynamic parameters: characterizing and optimization of arid groundwater system using swarm intelligence optimization algorithm[J],2016,9(18). |
APA | Sadeghi-Tabas, S.,Akbarpour, A.,Pourreza-Bilondi, M.,&Samadi, S..(2016).Toward reliable calibration of aquifer hydrodynamic parameters: characterizing and optimization of arid groundwater system using swarm intelligence optimization algorithm.ARABIAN JOURNAL OF GEOSCIENCES,9(18). |
MLA | Sadeghi-Tabas, S.,et al."Toward reliable calibration of aquifer hydrodynamic parameters: characterizing and optimization of arid groundwater system using swarm intelligence optimization algorithm".ARABIAN JOURNAL OF GEOSCIENCES 9.18(2016). |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Toward reliable cali(5613KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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