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The availability of both global and regional elevation datasets acquired by modern remote sensing technologies provides an opportunity to significantly improve the accuracy of stream mapping, especial...
A simple and efficient method for measuring CO2 concentration of deep water of gassy lakes is proposed. This method is based on the gas self-lifting in a plastic hose that is deployed into deep water ...
This paper implements the inverse approach for forecasting hydrological time series in an efficient way using a micro-GA (mGA) search engine. The inverse approach is based on chaos theory and it invol...
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...
An efficient class of nonlinear models, constructed using cardinal B-spline (CBS) basis functions, are proposed for high tide forecasts at the Venice lagoon. Accurate short term predictions of high ti...
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...
We present a numerical model for time domain reflectometry (TDR) signal propagation in dispersive dielectric materials. The numerical probe model is terminated with a parallel circuit, consisting of a...
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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