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Author Hamraz, BaharehSadat ♦ Akbarpour, Abolfazl ♦ Pourreza Bilondi, Mohsen ♦ Sadeghi Tabas, Sadegh
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Subject Keyword Parameter uncertainty ♦ Groundwater modeling ♦ Hydraulic conductivity ♦ Recharge ♦ MODFLOW ♦ GLUE ♦ Earth Sciences
Abstract Uncertainty assessment of groundwater modeling is important for sustainable groundwater management and planning. The purpose of this study is to assess parameter uncertainty of groundwater modeling in the Birjand plain, Iran. This arid aquifer was modeled using MATLAB-based MODFLOW to avoid propagating uncertainty associated with hydraulic conductivity and recharge parameters. So, the aquifer was divided into 17 hydraulic conductivity homogenous zones; besides, 9 recharge zones were considered separately. Parameter uncertainty was evaluated using the Monte Carlo (MC) sampling technique, namely, the generalized likelihood uncertainty estimation (GLUE). The results indicated that the performance of the GLUE based on the inverse error variance likelihood function was satisfied, because it gave the higher bracketing of observations equal to 86 %. Parameter uncertainty is well defined in the zones where they are not influenced directly by an inflow or outflow stream while hydraulic conductivity parameters of these zones follow approximately a normal distribution. In addition, groundwater modeling leads to a uniform exponential distribution in the zones with inflow or outflow streams.
ISSN 18667511
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-05-19
Publisher Place Berlin, Heidelberg
e-ISSN 18667538
Journal Arabian Journal of Geosciences
Volume Number 8
Issue Number 12
Page Count 15
Starting Page 10759
Ending Page 10773


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Source: SpringerLink