Estimation and Impact Assessment of Input and Parameter Uncertainty in Predicting Groundwater Flow With a Fully Distributed Model
Author:
Affiliation:
1. Department of Hydrology and Hydraulic Engineering; Vrije Universiteit Brussel (VUB); Brussels Belgium
2. Department of Mobility and Public Works, Flemish Government; Flanders Hydraulics Research; Antwerp Belgium
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2017WR021857/fullpdf
Reference78 articles.
1. A distributed monthly water balance model: Formulation and application on Black Volta Basin;Abdollahi;Environmental Earth Sciences,2017
2. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction;Ajami;Water Resources Research,2007
3. Inversion of heterogeneous parabolic-type equations using the pilot points method;Alcolea;International Journal for Numerical Methods in Fluids,2006
4. Evapotranspiration information reporting: I. Factors governing measurement accuracy;Allen;Agricultural Water Management,2011
5. Improved yield from aquifers of limited saturated thickness using inverted wells;Asad-uz-Zaman;Journal of Hydrology,2006
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