The use of inverse methods allow efficient model calibration. This study employs PEST to calibrate a large catchment scale transient flow model. Results are demonstrated by comparing manually calibrated approaches with the automated approach. An advanced Tikhonov regularization algorithm was employed for carrying out the automated pilot point (PP) method. The results indicate that automated PP ...

Film hole irrigation is an advanced low-cost and high-efficiency irrigation method, which can improve water conservation and water use efficiency. Given its various advantages and potential applications, we conducted a laboratory study to investigate the effects of soil texture, bulk density, initial soil moisture, irrigation depth, opening ratio (ρ), film hole diameter (D), and spacing on cumu...

This study examines the impacts of storm-triggered landslides on downstream sediment and turbidity responses in the Gaoping River Basin, Taiwan using the Soil and Water Assessment Tool (SWAT). Attention is given to analyzing the increased and altered baseline of suspended sediment load and turbidity after the disturbances caused by the rainfall and landslides associated with Typhoon Morakot in ...

Vegetation resistance influences water flow in floodplains. Characterization of vegetation for hydraulic modeling includes the description of the spatial variability of vegetation type, height and density. In this research, we explored the use of dual polarized Radarsat-2 wide swath mode backscatter coefficients (σ°) and Landsat 5 TM to derive spatial hydraulic roughness. The spatial roughness ...

Mitigation of adverse effects global warming relies on accurate flow projections under climate change. These usually focus changes in hydrological signatures, such as 100-year floods, which are estimated through statistical analyses simulated flows baseline and future conditions. However, models used for these simulations traditionally calibrated to reproduce entire series, rather than statisti...

Accurate estimation of evapotranspiration plays a vital role in judicious irrigation scheduling. Keeping this view, study was undertaken to compare the performance five methods, viz. Penman method (PM), FAO Monteith (FAO-PM), Priestley-Taylor (PT), Radiation (FAO-RM) and Hargreaves methods (HM) for Sultanpur District Uttar Pradesh, India using daily weather data acquired from automatic station ...

Flood forecasting is among the most important precaution measures to prevent devastating disasters affecting human life, properties, and overall environment. It closely involved with precipitation streamflow data tasks. In this work, we introduced a multi-step discharge prediction framework based on deep learning models. A simple feature representation technique using correlation of backward la...

The availability of climatic data, especially on a daily time step, has become very rare in West Africa over the last few years due to the high costs of climate data monitoring. This scarcity of climatic data is a huge obstacle to conduct hydrological studies over some watersheds. In this context, our study aimed to evaluate the capacity of Tropical Rainfall Measuring Mission (TRMM) satellite d...

High nitrate concentrations in streams have become a widespread problem throughout Europe in recent decades, damaging surface water and groundwater quality. The European Nitrate Directive fixed a potability threshold of 50 mg L for European rivers. The performance of the Soil and Water Assessment Tool model was assessed in the 1110-km Save catchment in southwestern France for predicting water d...

Groundwater abstraction and depletion were assessed at a 1-km resolution in the irrigated areas of the Indus Basin using remotely sensed evapotranspiration (ET) and precipitation; a process-based hydrological model and spatial information on canal water supplies. A calibrated Soil and Water Assessment Tool (SWAT) model was used to derive total annual irrigation applied in the irrigated areas of...