This study explored the application of a multi-objective evolutionary algorithm (MOEA) and Pareto ordering in the multiple-objective automatic calibration of the Soil and Water Assessment Tool (SWAT). SWAT was calibrated in the Calapooia watershed, Oregon, USA, with two different pairs of objective functions in a cluster of 24 parallel computers. The non-dominated sorting genetic algorithm (NSG...

The accurate simulation of SWAT can assist the government in making correct decisions about water management practices, which are important for human health, agricultural management, industry development, environmental quality, flood risk assessment, and recreation. In this project, the PIs were trying to improve the simulation accuracy of the SWAT model through developing new algorithm to obta...

Aggressive scaling of CMOS transistors has enabled extensive system integration and building faster and more efficient systems. On the flip side, this has resulted in an increasing number of devices that fail in shipped components in-the-field for a variety of reasons including soft errors, wear-out failures, and infant mortality. The pervasiveness of the problem across a broad market demands l...

Zinc-α2-glycoprotein (ZAG) plays an important role in the regulation of body weight, body fat, and glucose metabolism. In this study, we first measured ZAG levels in serum and ZAG mRNA levels in subcutaneous white adipose tissue (sWAT) among overweight/obese patients and lean control subjects. Second, we investigated the effects of ZAG administration on the body weight, body fat and glucose met...

[1] Impact of climate change on streamflow in the Upper Mississippi River Basin is evaluated by use of a regional climate model (RCM) coupled with a hydrologic model, Soil and Water Assessment Tool (SWAT). The RCM we used resolves, at least partially, some fine-scale dynamical processes that are important contributors to precipitation in this region and that are not well simulated by global mod...

Reliable water quality models are needed to forecast the water quality consequences of different agricultural nutrient management scenarios. In this study, the Soil and Water Assessment Tool (SWAT), version 2000, was applied to simulate streamflow, riverine nitrate (NO(3)) export, crop yield, and watershed nitrogen (N) budgets in the upper Embarras River (UER) watershed in east-central Illinois...

Simulation of Water Balance Components (WBCs) is import for sustainable water resources development and management. The Soil Assessment Tool (SWAT) a semi-distributed hydrological model to estimate the WBCs by forcing response unit (HRU) meteorological variables. developed simulates five viz. surface runoff, lateral flow, percolation, actual evapotranspiration soil at sub catchment level. To de...

Researchers and trialists face many uncertainties when designing and conducting research. Embedded methodology studies can help to resolve these. However, despite hundreds of thousands of trials, there are probably only a few hundred studies assessing the effects of different methods for doing this research. The concept of the SWAT (Study Within A Trial) programme is to aid the development of s...

Distributed hydrologic models based on small‐scale physical processes tend to have a large number of parameters to represent spatial heterogeneity. This characteristic requires the use of a large number of parameters in model calibration. It is a common view that calibration with a large number parameters produces overparameterization and overfitting. Recent work using prior information, spatia...

The project goal was to loosely couple the SWAT model and the QUAL2E model and compare their combined ability to predict total phosphorus (TP) and NO3-N plus NO2-N yields to the ability of the SWAT model with its completely coupled water quality components to predict TP and NO3-N plus NO2-N yields from War Eagle Creek watershed in Northwest Arkansas. Model predictions were compared using a stat...