Abstract This study evaluated the performance and hydrologic utility of four different satellite precipitation datasets (SPDs), including GPM (IMERG_F), PERSIANN_CDR, CHIRPS, CMORPH, to predict daily streamflow SL using SWAT hydrological model as well coupled soft computing models (SCMs) such artificial neural networks (SWAT-ANNs), random forests (SWAT-RFs), support vector regression (SWAT-SVR)...

The objective of this paper was to spatially quantify diffuse pollution sources and estimate the potential efficiency of applying riparian buffer zones as a conservation practice for mitigating chemical pollutant losses. This study was conducted using a semi-distributed Soil and Water Assessment Tool (SWAT) model that underwent extensive calibration and validation in the Sulejów Reservoir catch...

Accurate predictions of sediment yield from distributed models of runoff and sediment yield depends in part of how well matched the model structure is to input data spatial representation. This study investigated how model structure and input data representation affect sediment predictions made using the Soil and Water Assessment Tool (SWAT). The study focused on the integration of two specific...

Despite many angiogenic factors playing crucial roles in metabolic homeostasis, effects of angiopoietin-2 (ANG-2) in adipose tissue (AT) remain unclear. Utilizing a doxycycline-inducible AT-specific ANG-2 overexpression mouse model, we assessed the effects of ANG-2 in AT expansion upon a high-fat diet (HFD) challenge. ANG-2 is significantly induced, with subcutaneous white AT (sWAT) displaying ...

0022-1694/$ see front matter Published by Elsevier doi:10.1016/j.jhydrol.2009.06.023 * Corresponding author. Tel.: +1 301 314 6706; fax E-mail address: [email protected] (X In this paper, the Genetic Algorithms (GA) and Bayesian Model Averaging (BMA) were used to simultaneously conduct calibration and uncertainty analysis for the Soil and Water Assessment Tool (SWAT). In this combined ...

Soil water content (SWC) and soil temperature are important hydrologic state variables. Accurate model simulation is critical in regimes cold regions dominated by spring snowmelt. In this study, we developed a combined physically-based energy-balance rain-on-snow (ROS) module for the Water Assessment Tool (SWAT) applied it to South Saskatchewan River Basin (SSRB). We calibrated SWAT base (SWAT-...

the devastating impact of land use change in the watershed is increasing the generation rate of sediment and entrance to rivers and sedimentation in reservoirs. according to this, studying on impact of land use change on hydrological process is necessary. aim of this study was investigating the impact of land use change on suspended sediment during 1994 to 2010 by swat model in dinevar watershe...