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Chang, Yong, Wu, Jichun, Jiang, Guanghui, Kang, Zhiqiang (2017) Identification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model. Journal of Hydrology, 548. 75-87 doi:10.1016/j.jhydrol.2017.02.050

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Reference TypeJournal (article/letter/editorial)
TitleIdentification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model
JournalJournal of Hydrology
AuthorsChang, YongAuthor
Wu, JichunAuthor
Jiang, GuanghuiAuthor
Kang, ZhiqiangAuthor
Year2017 (May)Volume548
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2017.02.050Search in ResearchGate
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Mindat Ref. ID7244906Long-form Identifiermindat:1:5:7244906:0
GUID0
Full ReferenceChang, Yong, Wu, Jichun, Jiang, Guanghui, Kang, Zhiqiang (2017) Identification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model. Journal of Hydrology, 548. 75-87 doi:10.1016/j.jhydrol.2017.02.050
Plain TextChang, Yong, Wu, Jichun, Jiang, Guanghui, Kang, Zhiqiang (2017) Identification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model. Journal of Hydrology, 548. 75-87 doi:10.1016/j.jhydrol.2017.02.050
In(2017) Journal of Hydrology Vol. 548. Elsevier BV

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Chang, Yong, Wu, Jichun, Jiang, Guanghui, Zhao, Xiaoer, Zhang, Qiang (2019) Investigating the appropriate model structure for simulation of a karst catchment from the aspect of spatial complexity. Environmental Earth Sciences, 78 (1). doi:10.1007/s12665-018-8017-y
Chang, Yong, Wu, Jichun, Jiang, Guanghui (2015) Modeling the hydrological behavior of a karst spring using a nonlinear reservoir-pipe model. Hydrogeology Journal, 23 (5). 901-914 doi:10.1007/s10040-015-1241-6
Zhao, Xiaoer, Chang, Yong, Wu, Jichun, Li, Qi, Cao, Zhaodan (2021) Investigating the relationships between parameters in the transient storage model and the pool volume in karst conduits through tracer experiments. Journal of Hydrology, 593. 125825pp. doi:10.1016/j.jhydrol.2020.125825
Chang, Yong, Wu, Jichun, Jiang, Guanghui, Liu, Ling, Reimann, Thomas, Sauter, Martin (2019) Modelling spring discharge and solute transport in conduits by coupling CFPv2 to an epikarst reservoir for a karst aquifer. Journal of Hydrology, 569. 587-599 doi:10.1016/j.jhydrol.2018.11.075
Zhang, Qinuo, Zhang, Ke, Bárdossy, András, Li, Yunping, Wu, Nan (2025) Improving representation of hydrological process heterogeneity in grid-Xin’anjiang model through a stepwise approach. Journal of Hydrology, 655. doi:10.1016/j.jhydrol.2025.132897
Uhlenbrook, Stefan, Roser, Stefan, Tilch, Nils (2004) Hydrological process representation at the meso-scale: the potential of a distributed, conceptual catchment model. Journal of Hydrology, 291 (3). 278-296 doi:10.1016/j.jhydrol.2003.12.038
Chang, Yong, Hartmann, Andreas, Liu, Ling, Jiang, Guanghui, Wu, Jichun (2021) Identifying More Realistic Model Structures by Electrical Conductivity Observations of the Karst Spring. Water Resources Research, 57 (4) doi:10.1029/2020wr028587
Maréchal, D., Holman, I.P. (2005) Development and application of a soil classification-based conceptual catchment-scale hydrological model. Journal of Hydrology, 312 (1). 277-293 doi:10.1016/j.jhydrol.2005.02.018
Tritz, Sébastien, Guinot, Vincent, Jourde, Hervé (2011) Modelling the behaviour of a karst system catchment using non-linear hysteretic conceptual model. Journal of Hydrology, 397 (3). 250-262 doi:10.1016/j.jhydrol.2010.12.001
Chang, Yong, Wu, Jichun, Liu, Ling (2015) Effects of the conduit network on the spring hydrograph of the karst aquifer. Journal of Hydrology, 527. 517-530 doi:10.1016/j.jhydrol.2015.05.006
Zhao, Xiaoer, Chang, Yong, Wu, Jichun, Wang, Fei, Reza Soltanian, Mohamad, Dai, Zhenxue (2024) Identifying transient storage model parameters in karst conduits using the normal-score ensemble smoother with multiple data assimilation. Journal of Hydrology, 631. 130730 doi:10.1016/j.jhydrol.2024.130730
 
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