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EVALUATION OF RAINFALL-RUNOFF MODELS FOR MEDITERRANEAN SUBCATCHMENTS
Runoff PESERA hydrology Mediterranean
2016/11/30
The development and the application of rainfall-runoff models have been a corner-stone of hydrological research for many decades. The amount of rainfall and its intensity and variability control the g...
IMPROVEMENT OF RAINFALL-RUNOFF MODELS USING OPTICAL AND RADAR REMOTE SENSING DATA
ERS Data Soil Moisture Rainfall Land Cover Rainfall-run off Modeling GIS
2015/12/28
GIS are used for the rainfall-runoff model development and determining its parameters. GIS data comprise soil layer, topography including three dimensional data, and land cover data. Rainfall estimati...
A Distributed Flood Inundation Model Integrating with Rainfall-Runoff Processes Using GIS and Remote Sensing Data
Flood Inundation Flood Modelling Finite Difference Diffusion Wave SRTM
2015/12/18
Flood hazard is one of the most harmful disasters in the world, and it is significant to obtain information on flood characteristics for disaster mitigation as well as vulnerability assessment. This p...
ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM
Tamar station Simulation runoff satellite rainfall data Data-driven models Conceptual models Svr
2016/1/15
Simulation of rainfall-runoff process is one of the most important research fields in hydrology and water resources. Generally, the models used in this section are divided into two conceptual and data...
INVESTIGATION OF RAINFALL- RUNOFF MODELLING OF THE VAN LAKE CATCHMENT BY USING REMOTE SENSING AND GIS INTEGRATION
Remote Sensing GIS Landsat TM Runoff depth SCS Curve Number DEM
2015/7/29
The aim of this study is to determine runoff depth of the Van Lake basin by using remote sensing and geographic information system
(GIS) integration. While determining the results we used various da...
Revised Determination of the Rainfall-runoff Erosivity Factor R for Application of USLE in the Czech Republic
water erosion storms rainfall erosivity factor USLE
2015/1/28
The evaluation of a series (1961–2000) of ombrographic records from 13 selected stations of Czech Hydrometeorological Institute provided long-term annual summation values and annual peaks of the rainf...
Analysis of Mean Monthly Rainfall Runoff Data of Indian Catchments Using Dimensionless Variables by Neural Network
Dimensional Variables Artificial Neural Networks Rainfall–Runoff
2013/3/13
This paper focuses on a concept of using dimensionless variables as input and output to Artificial Neural Network (ANN) and discusses the improvement in the results in terms of various performance cri...
