A new paradigm of simulating suspended sediment load (SSL) with a Land Surface Model (LSM) is presented here. Five erosion and SSL algorithms were applied within a common LSM framework to quantify uncertainties and evaluate predictability in two steep, forested catchments (>1,000 km2). The algorithms were chosen from among widely used sediment models, including empirically based: monovariate ra...

Objectives : To identify and estimate the non-point source (NPS) pollution loads in Yongdam watershed, to take an appropriate NPS management plan suitable for environmental conditions of sub-basin watershed.Methods The pollutant watershed was investigated establish hydrological simulation program-fortran (HSPF) model study area so that characteristics runoff were simulated. Furthermore, detaile...

Abstract. Contamination of surface waters with microbiological pollutants is a major concern to public health. Although long-term and high-frequency Escherichia coli (E. coli) monitoring can help prevent diseases from fecal pathogenic microorganisms, such time-consuming expensive. Process-driven models are an alternative means for estimating concentrations pathogens. However, process-based mode...

Parameter uncertainty and sensitivity for a watershed-scale simulation model in Portugal were explored to identify the most critical model parameters in terms of model calibration and prediction. The research is intended tohelpprovideguidance regardingallocationof limiteddata collection andmodel parameterization resources for modelers working in any data and resource limited environment. The wa...