000005538 001__ 5538
000005538 005__ 20180208224333.0
000005538 0247_ $$2DOI$$a10.2136/vzj2008.0029
000005538 0247_ $$2WOS$$aWOS:000268871900026
000005538 037__ $$aPreJuSER-5538
000005538 041__ $$aeng
000005538 082__ $$a550
000005538 084__ $$2WoS$$aEnvironmental Sciences
000005538 084__ $$2WoS$$aSoil Science
000005538 084__ $$2WoS$$aWater Resources
000005538 1001_ $$0P:(DE-HGF)0$$aMertens, J.$$b0
000005538 245__ $$aInverse Modeling of Pesticide Leaching in Lysimeters: Local versus Global and Sequential Single-Objective versus Multiobjective Approaches
000005538 260__ $$aMadison, Wis.$$bSSSA$$c2009
000005538 300__ $$a793 - 804
000005538 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000005538 3367_ $$2DataCite$$aOutput Types/Journal article
000005538 3367_ $$00$$2EndNote$$aJournal Article
000005538 3367_ $$2BibTeX$$aARTICLE
000005538 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000005538 3367_ $$2DRIVER$$aarticle
000005538 440_0 $$010301$$aVadose Zone Journal$$v8$$x1539-1663$$y3
000005538 500__ $$aWe are grateful to Dr. Jasper Vrugt for kindly providing us with the SCEM MATLAB code. Th is research was supported by BASF SE and a research grant of the Katholieke Universiteit Leuven, Belgium (GOA-06-07-TBA).
000005538 520__ $$aThis study used field lysimeter leachate and pesticide concentration data within an inverse modeling framework to estimate pesticide degradation and sorption on parameters. Experimental data comprising four pesticide applications during 3 yr were used to compare a local parameter estimation algorithm (Levenberg-Marquardt, LM) with a global algorithm (Shuffled Complex Evolution on Metropolis, SCEM). Good model fits (only marginally better model fits using SCEM) with respect to both the observed leachate volumes and corresponding pesticide concentrations were obtained using both algorithms. Parameter optima found with LM and SCEM were very similar, thus suggesting that LM correctly located the global optimum for our experimental data. Equally as important as the optimal parameter values, however, are the estimated parameter uncertainities. This study revealed that LM (using a Jacobian-based approach) provided too large parameter uncertainities. A logarithmic transformation of the parameter tended to decrease the uncertainty in most cases. The overestimation of parameter uncertainty by LM suggests that model sensitivity close to the optimal parameter set was relatively small and underestimated the sensitivity to large parameter changes. A multiobjective Pareto analysis was subsequently compared with a sequential single-objective approach to reveal the capability of the multiobjective approach to verify model structure and model concept. Our results indicate that a multiobjective SCEM approach is recommended when the objective is to estimate pesticide degradation and sorption parameters and their uncertainty.
000005538 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000005538 588__ $$aDataset connected to Web of Science
000005538 650_7 $$2WoSType$$aJ
000005538 7001_ $$0P:(DE-HGF)0$$aKahl, G.$$b1
000005538 7001_ $$0P:(DE-HGF)0$$aGottesbüren, B.$$b2
000005538 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, J.$$b3$$uFZJ
000005538 773__ $$0PERI:(DE-600)2088189-7$$a10.2136/vzj2008.0029$$gVol. 8, p. 793 - 804$$p793 - 804$$q8<793 - 804$$tVadose zone journal$$v8$$x1539-1663$$y2009
000005538 8567_ $$uhttp://dx.doi.org/10.2136/vzj2008.0029
000005538 909CO $$ooai:juser.fz-juelich.de:5538$$pVDB
000005538 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000005538 9141_ $$y2009
000005538 9131_ $$0G:(DE-Juel1)FUEK407$$aDE-HGF$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000005538 9201_ $$0I:(DE-Juel1)VDB793$$d31.10.2010$$gICG$$kICG-4$$lAgrosphäre$$x1
000005538 970__ $$aVDB:(DE-Juel1)113164
000005538 980__ $$aVDB
000005538 980__ $$aConvertedRecord
000005538 980__ $$ajournal
000005538 980__ $$aI:(DE-Juel1)IBG-3-20101118
000005538 980__ $$aUNRESTRICTED
000005538 981__ $$aI:(DE-Juel1)IBG-3-20101118