Evapotranspiration (ET) is a significant aspect of the hydrologic cycle, notably in irrigated agriculture. Direct approaches for estimating reference evapotranspiration (ET0) are either difficult or need large number inputs that not always available from meteorological stations. Over 6-year period (2006–2011), this study compares Feed Forward Neural Network (FFNN), Radial Basis Function (RBFNN)...

The limited acquisition of rainfall data from the Climatological Station Deli Serdang has resulted in constraints on research several fields. Global Precipitation Measurement (GPM) spatial and temporal advantages as a solution to this problem. This study aims provide information rain thickness equation model based Satellite an alternative calculating at Serdang. Data were used, covering period ...

The newly developed WRF-Hydro model is a fully coupled atmospheric and hydrological processes suitable for studying the intertwined processes. This study utilizes system on Three-River source region. Nash-Sutcliffe efficiency runoff simulation 0.55 compared against observed daily discharge amount of three stations. simulations are better than WRF in terms six ground meteorological elements turb...

Objective: To estimate the monthly average global solar irradiance (Rg), using observed cloudiness data (% of cloudy days), as well its spatial distribution for state Tabasco, Mexico.Design/Methodology/Approximation: The proposed model by Tejeda-Martínez et al. (1999) was adjusted to Rg 35 meteorological stations in Tabasco. adjustment performed with daily fromeight automated weather and from e...

Today, variable flow pattern, which uses static rule curves, is considered one of the challenges reservoir operation. One way to overcome this problem develop forecast-based curves. However, managers must have an estimate influence forecast accuracy on operation performance due intrinsic limitations models. This study attempts a model and investigate effects corresponding two conventional To mo...

The hydrologic simulation of a catchment area, described as the transformation rainfall into runoff, generally uses model. This work opts for global conceptual model GR2M, monthly time step model, to study Kouilou-Niari basin, second most important ones Republic Congo. includes two parameters behavior area. choice GR2M is justified by reduced number and scale. objective this determine character...

The present study links monitoring and simulation models to predict water quality distribution in lakes using an optimized neural network remote sensing data processing. Two driven were developed. First, a model was established that is able convert spectral images TDS distribution. Moreover, developed generate map for unseen scenarios which no are available. Outputs of the applied as observatio...

Abstract Climate change is contributing to the increasing frequency and severity of flooding worldwide. Therefore, forecasting preparing for floods while considering extreme climate conditions are essential decision-makers prevent manage disasters. Although recent studies have demonstrated potential long short-term memory (LSTM) models rainfall-related runoff, there remains room improvement due...

This study analyses the impact of climate change on inflows, sediment loads, and nutrient inputs to Sabalan dam reservoir, a warm monomictic lake located northwest Iran. For this purpose, Soil Water Assessment Tool (SWAT) was calibrated (2005–2018) validated (2001–2004). Future climate-based data under AR5 emission scenarios were obtained from HadGEM2–ES general circulation model then downscale...

This study investigated the moisture distribution characteristics of a soil wetting body under different influencing factors to inform design and management moistube irrigation system. A mathematical model movement was established based on Hydrus-2D software. The suitability simulation verified by laboratory experiments. Numerical simulations were carried out with investigate influence texture,...