The spatially distributed hydrologic model WetSpa is applied to the Torysa river basin (1,297 km) located in Slovakia. Daily hydrometeorological data from 1991 to 2000 are used as input to the model. The spatial characteristic of the basin are described by three base maps, i.e. DEM, landuse and soil type, in GIS form using 100 m cell size. Results of the simulations show a good agreement betwee...

A process-based model for semi-arid grassland ecosystems was developed. It is driven by standard daily meteorological data and simulates with a daily time step the seasonal course of root, aboveground green, and dead biomass. Water infiltration and redistribution in the soil, transpiration and evaporation are simulated in a coupled water budget submodel. The main plant processes are photosynthe...

• We built hybrid Long Short-Term Memory model for Pan Evaporation (E p ). adopt Neighbourhood Component Analysis feature selection. predict E in drought-prone Queensland with satellite predictor variables. Our NCA-LSTM is compared competitive benchmark models. useful estimation of evaporative water losses. Evaporation, as a core process within the global hydrological cycle, requires reliable m...

Abstract This paper presents the inclusion of the soil-vegetationatmosphere interactions in a proven conceptual model. This new scheme simulates the daily streamflows over small catchments by taking into account the average characteristics of the surface (soil and vegetation) for the calculation of actual evaporation and évapotranspiration. The model also simulates the daily evolution of soil m...

This paper deals with the pumping storage system analysis. The water reservoir serves for daily and seasonal energy storage, thus basically solving the problem of energy storage, which is the biggest problem of wider use of renewable energy sources. The electrical energy produced in excess by the renewable energy system is converted in potential energy by pumping water to a higher elevation whe...

Differential rates of water loss were achieved in picked avocado (Persea americana Mill.) fruits, either by controlling the evaporation rate or by supplying water through the fruit stalk. A negative linear correlation was found between the daily rate of water loss from fruits and their ripening, as determined by the time from harvest to peak of ethylene production. Ripening rate was hastened by...

The aim of this study is to model the evaporation data, which one important parameters hydrological cycle, by using Adaptive Neuro Fuzzy Inference System (ANFIS). Four different models were designed starting from input up four inputs used average daily temperature (ºC), relative humidity (%), current pressure (hPa) and wind speed (m/s) as parameters. Total pan (mm) was selected output parameter...

Ensuring accurate estimation of evaporation is weighty for effective planning and judicious management available water resources agricultural practices. Thus, this work enhances the potential support vector regression (SVR) optimized with a novel nature-inspired algorithm, namely, Slap Swarm Algorithm (SVR-SSA) against Whale Optimization (SVR-WOA), Multi-Verse Optimizer (SVR-MVO), Spotted Hyena...

A reliable thermal-derived method for spatially and temporally continuous latent heat flux (LE) estimates is vital agricultural water resource management. In this study, we proposed a novel three-source LE model (TSLEM) derived by all-weather thermal infrared (TIR) land surface temperature (LST) to generate all-sky daily in mainland China. approach, was partitioned into the energy fluxes from c...