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One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
This study analyzed the monthly-minimum daily discharge data of each month from three gauge stations on Cekerek Stream for forecasting using stochastic approaches. Initially non-parametric test (Mann-...
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
Studies of spatial variability and simulation of available soil water and extractable soil water are scarce and yet such data are essential in hydrologic and solute transport modeling. A study was con...
This study analyzed the monthly-minimum daily discharge data of each month from three gauge stations on Cekerek Stream for forecasting using stochastic approaches. Initially non-parametric test (Mann-...
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
The use of design storms can be very useful in many hydrological and hydraulic practices. In this study, the concept of a copula-based secondary return period in combination with the concept of mass c...
A hydrologic model based on the Analytic Elements Method (AEM) has been developed for a phreatic aquifer in the General Separations Area (GSA), of the Savannah River Site (SRS), South Carolina, USA. T...
The distribution of precipitation in time during storms constitutes a complex stochastic process. Mathematical modelling of the process is quite difficult. The process is conceived as a finite-durat...
The stochastic approach to watershed modeling refers to the techniques used to generate synthetic hydrologic data. These data may be used either for input to a parametric watershed model or to provi...
In this paper a mathematical model for the movement of water particles in a river is constructed. Using the model it will be possible to find an analytic expression for the distribution function F(...
Increments of rainfall during a storm event were treated as stochastic variates. Statistical distributions ol accumulated rain were developed at 2-hour intervals. Three-parameter lognormal distribut...
Monthly streamflow series from five catchment areas, representative of some of the typical types encounted in Germany,.are analysed. The time series structure of the streamflow can be described by a...
Stochastic models are developed to simulate annual, monthly and daily evaporation data for Australia. For annual and monthly synthesis, the evaporation values are generated independently and depende...
In recent years, hydrologists have attempted, with encouraging results, to synthesize the accomplishments of time series analysis and deterministic systems methods into the more general framework of...

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