Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review

Mirzaei, M. and Huang, Y.F. and El-Shafie, A. and Shatirah, A. (2015) Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: A review. Stochastic Environmental Research and Risk Assessment, 29 (5). pp. 1265-1273. ISSN 1436-3240, DOI https://doi.org/10.1007/s00477-014-1000-6.

[img]
Preview
PDF (Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review)
Application_of_the_generalized_likelihood_uncertainty_estimation_(GLUE)_approach_for_assessing.pdf - Published Version

Download (1MB)
Official URL: http://link.springer.com/article/10.1007/s00477-01...

Abstract

The generalized likelihood uncertainty estimation (GLUE) technique is an innovative uncertainty method that is often employed with environmental simulation models. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. There are now a lot of citations to their original paper which illustrates GLUE tremendous impact. GLUE's popularity can be attributed to its simplicity and its applicability to nonlinear systems, including those for which a unique calibration is not apparent. The GLUE was introduced for use in uncertainty analysis of watershed models has now been extended well beyond rainfall-runoff watershed models. Given the widespread adoption of GLUE analyses for a broad range or problems, it is appropriate that the validity of the approach be examined with care. In this article, we present an overview of the application of GLUE for assessing uncertainty distribution in hydrological models particularly surface and subsurface hydrology and briefly describe algorithms for sampling of the prior parameter in hydrologic simulation models.

Item Type: Article
Funders: Ministry of Education UM.C/625/1/HIR/61 , H-16001-00-D000061
Additional Information: ISI Document Delivery No.: CK0YS Times Cited: 0 Cited Reference Count: 72 Cited References: Abbaspour KC, 2004, VADOSE ZONE J, V3, P1340 Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014 Adams B., 2001, EXAMINATION SCI BASI Ajami NK, 2007, WATER RESOUR RES, V43, DOI 10.1029/2005WR004745 Aronica G, 2002, HYDROL PROCESS, V16, P2001, DOI 10.1002/hyp.398 BECK MB, 1987, WATER RESOUR RES, V23, P1393, DOI 10.1029/WR023i008p01393 Beven K, 2006, J HYDROL, V320, P18, DOI 10.1016/j.jhydrol.2005.07.007 Beven K, 2001, J HYDROL, V249, P11, DOI 10.1016/S0022-1694(01)00421-8 Beven KJ, 2008, J HYDROL, V354, P15, DOI 10.1016/j.jhydrol.2008.02.007 BEVEN K, 1992, HYDROL PROCESS, V6, P279, DOI 10.1002/hyp.3360060305 Blasone RS, 2008, J HYDROL, V353, P18, DOI 10.1016/j.jhydrol.2007.12.026 Blasone RS, 2008, ADV WATER RESOUR, V31, P630, DOI 10.1016/j.advwatres.2007.12.003 Blazkova S, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000500 Brazier RE, 2001, EARTH SURF PROC LAND, V26, P1333, DOI 10.1002/esp.266 Cameron DS, 1999, J HYDROL, V219, P169, DOI 10.1016/S0022-1694(99)00057-8 Carpenter TM, 2004, J HYDROL, V298, P202, DOI 10.1016/j.hydrol.2004.03.036 Chau KW, 2005, J HYDROL ENG, V10, P485, DOI 10.1061/(ASCE)1084-0699(2005)10:6(485) Chen W, 2006, INT J ENVIRON POLLUT, V28, P432, DOI 10.1504/IJEP.2006.011221 Cheng CT, 2007, ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, P197, DOI 10.1109/ICNC.2007.425 Chowdhury S, 2007, J HYDROL, V340, P197, DOI 10.1016/j.jhydrol.2007.03.010 Christensen S, 2004, NORD HYDROL, V35, P45 Doherty J, 2005, WATER MARK NUMERICAL Engeland K, 2005, HYDROLOG SCI J, V50, P45, DOI 10.1623/hysj.50.1.45.56334 Feyen L, 2001, WATER RESOUR RES, V37, P625, DOI 10.1029/2000WR900351 Franks SW, 1997, AGR FOREST METEOROL, V86, P63, DOI 10.1016/S0168-1923(96)02421-5 Freer J, 1996, WATER RESOUR RES, V32, P2161, DOI 10.1029/95WR03723 Freni G, 2009, SCI TOTAL ENVIRON, V408, P138, DOI 10.1016/j.scitotenv.2009.09.029 Freni G, 2009, ENVIRON MODELL SOFTW, V24, P1171, DOI 10.1016/j.envsoft.2009.03.007 Freni G, 2009, ENVIRON MODELL SOFTW, V24, P54, DOI 10.1016/j.envsoft.2008.04.013 Freni G, 2008, WATER RES, V42, P2061, DOI 10.1016/j.watres.2007.12.014 Gelman A, 1992, STAT SCI, V7, P457, DOI DOI 10.1214/SS/1177011136 Georgakakos KP, 2004, J HYDROL, V298, P222, DOI 10.1016/j.jhydrol.2004.03.037 Goodarzi E, 2012, CAN J CIVIL ENG, V39, P374, DOI 10.1139/L2012-012 Gupta H., 2005, ENCY HYDROLOGICAL SC, P2015 Hankin BG, 2001, EARTH SURF PROC LAND, V26, P667, DOI 10.1002/esp.214 Hansson K, 2006, COLD REG SCI TECHNOL, V44, P20, DOI 10.1016/j.coldregions.2005.06.004 Heidari A, 2006, STOCH ENV RES RISK A, V20, P363, DOI 10.1007/s00477-006-0032-y Hill M. C., 2007, EFFECTIVE GROUNDWATE HORNBERGER GM, 1981, J ENVIRON MANAGE, V12, P7 Jensen JB, 2003, 23 AALB U DEP CIV EN, V23 Kavetski D, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004368 Kavetski D., 2002, AGU WATER SCI APPL S, V6, P49 Lamb R, 1998, ADV WATER RESOUR, V22, P305, DOI 10.1016/S0309-1708(98)00020-7 Lenhart T, 2002, PHYS CHEM EARTH, V27, P645, DOI 10.1016/S1474-7065(02)00049-9 Lindblom E, 2007, WATER SCI TECHNOL, V56, P11, DOI 10.2166/wst.2007.585 Mannina G, 2009, 18 WORLD IMACS MODSI Mantovan P, 2006, J HYDROL, V330, P368, DOI 10.1016/j.jhydrol.2006.04.046 Marshall L, 2007, HYDROL PROCESS, V21, P847, DOI 10.1002/hyp.6294 McMichael CE, 2006, J HYDROL, V317, P307, DOI 10.1016/j.jhydrol.2005.05.023 Mertens J, 2004, J HYDROL, V294, P251, DOI 10.1016/j.jhydrol.2004.02.011 Migliaccio KW, 2008, J HYDROL ENG, V13, P258, DOI 10.1061/(ASCE)1084-0699(2008)13:4(258) Mirzaei M, 2014, NAT HAZARDS, V71, P1227, DOI 10.1007/s11069-013-0819-3 Mirzaei M, 2013, J WATER SUPPLY RES T, V62, P309, DOI 10.2166/aqua.2013.038 Montanari A, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003826 Muleta MK, 2005, J HYDROL, V306, P127, DOI 10.1016/j.jhydrol.2004.09.005 Refshaard J. C., 1995, Computer models of watershed hydrology., P809 ROMANOWICZ R, 1994, STAT ENV, V2, P297 Romanowicz RJ, 1996, FLOODPLAIN PROCESSES, P333 Schaefli B, 2007, J HYDROL, V332, P303, DOI 10.1016/j.jhydrol.2006.07.005 Stedinger JR, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR006822 Tadesse A, 2005, J ATMOS OCEAN TECH, V22, P1055 Vachaud G, 2002, J HYDROL, V264, P101, DOI 10.1016/S0022-1694(02)00069-0 van Straten G, 1998, WATER SCI TECHNOL, V37, P103, DOI 10.1016/S0273-1223(98)00061-4 Vezzaro L, 2010, P IDRA C PAL IT Vogel RM, 2008, WATER RESOUR RES, V44 VRUGT JA, 2009, STOCH ENV RES RISK A, V23, P1011, DOI DOI 10.1007/S00477-008-0274-Y Vrugt JA, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001642 Wang X, 2005, T ASAE, V48, P1041 Xiong L, 2008, J HYDROL, V349, P115, DOI 10.1016/j.jhydrol.2007.10.029 Xiong LH, 2009, HYDROLOG SCI J, V54, P852, DOI 10.1623/hysj.54.5.852 Yang J, 2008, J HYDROL, V358, P1, DOI 10.1016/j.jhydrol.2008.05.012 Yang J, 2007, J HYDROL, V340, P167, DOI 10.1016/j.jhydrol.2007.04.006 Mirzaei, Majid Huang, Yuk Feng El-Shafie, Ahmed Shatirah, Akib Engineering, Faculty /I-7935-2015 Engineering, Faculty /0000-0002-4848-7052 University of Malaya; Ministry of Education UM.C/625/1/HIR/61, H-16001-00-D000061 The financial support by the High Impact Research Grant of the University of Malaya and Ministry of Education (UM.C/625/1/HIR/61, account number: H-16001-00-D000061) is gratefully acknowledged. 0 SPRINGER NEW YORK STOCH ENV RES RISK A
Uncontrolled Keywords: Uncertainty, glue, hydrological modeling, rainfall-runoff modeling, water quality, groundwater, flood frequency estimation, water-quality, environmental systems, continuous simulation, input uncertainty, bayesian-analysis, chaohe basin, methodology, sensitivity, calibration,
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 20 Apr 2016 02:23
Last Modified: 20 Apr 2016 02:23
URI: http://eprints.um.edu.my/id/eprint/15788

Actions (login required)

View Item View Item