Arid
DOI10.1007/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
ISSN1866-7511
EISSN1866-7538
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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