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This study presents a methodology for quantifying the tradeoffs between sampling costs and local concentration estimation errors in an existing groundwater monitoring network. The method utilizes hist...
Success of any forecasting model depends heavily on reliable historical data, among others. Data are needed to calibrate, fine tune and verify any simulation model. However, data are very often contam...
Located in western Inner Mongolia, the Badain Jaran Desert is the second largest desert in China and consists of a regular series of stable megadunes, among which over 70 permanent lakes exist. The u...
In a multi-step outflow experiment we found that a weak heterogeneity within a sand column prevents the estimated effective hydraulic parameters from being unique. We compared vertical water content p...
This study provides a comprehensive assessment of state-of-the-art evolutionary multiobjective optimization (EMO) tools' relative effectiveness in calibrating hydrologic models. The relative computati...
Effective parameters are of major importance in modelling surface fluxes at different scales of spatial heterogeneity. Different ways to obtain these effective parameters for their use in meso-scale ...
Reply to J. Vrugt's comment on “How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?”.
Comment on “How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?”by Y. Tang et al., Hydrol. Earth Syst. Sci., 10, 289–307, 2006.

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