The water erosion prediction project (WEPP) model is a physically-based hydrology and erosion model. In recent years, the hydrology prediction within the model has been improved for forest watershed modeling by incorporating shallow lateral flow into watershed runoff prediction. This has greatly improved WEPP’s hydrologic performance on small watersheds with seasonal flows, but the current vers...

Performing a comprehensive sensitivity/uncertainty analysis is a valuable step in understanding and using a predictive hydrologic/water quality (H/WQ) model. This article applies one-factor-at-a-time (OAT) sensitivity analysis (SA) and first-order error analysis (FOEA)/Monte Carlo simulation with Latin hypercube sampling (LHS) uncertainty analysis techniques for evaluation of a complex, process...

[1] Soil erosion models are usually limited in their application to the field scale; however, the management of land resources requires information at the regional scale. Large‐scale physically based land surface schemes (LSS) provide estimates of regional scale hydrologic processes that contribute to erosion. If scaling issues are adequately addressed, coupling an LSS to a physically based ero...

Erosion processes and their impact are driven by a multitude of biophysical factors that are poorly understood in the Andean highlands. The first attempt to assess soil erosion rates in Peru was made by Felipe-Morales et al. (1977) using runoff plots. Since then, very few erosion investigations have followed and reference to Andean soil erosion is often criticized because of the lack of quantit...

The Water Erosion Prediction Project (WEPP) model is a physically-based soil erosion tool developed to predict runoff and erosion. Databases for forest soil, vegetation, and climate conditions have been developed. Background sediment may be generated annually from undisturbed forests, and occasionally following wildfire. In some cases, it may be appropriate to include sediment from essential fo...

The Water Erosion Prediction Project (WEPP) model has been widely used to assess the impacts of management practices and climate change on runoff soil loss at both hillslope watershed scales. However, representation channel erosion processes in WEPP not changed significantly since it was released. current (WEPP v2012.8) previous versions assume that input erodibility parameters are constant thr...

The DHARMA domain-specific middleware system is intended to allow hydrologic field engineers to tackle water-management problems on a scale previously impossible without sophisticated computational management systems. DHARMA provides automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results; parallel process executio...

The DHARMA domain-specific middleware system is intended to allow hydrologic field engineers to tackle water-management problems on a scale previously impossible without sophisticated computational management systems. DHARMA provides automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results; parallel process executio...

Sediment is the greatest pollutant of forest streams. In the absence of wildfire, forest road networks are usually the main source of sediment in forest watersheds. An understanding of forest road erosion processes is important to aid in predicting sediment delivery from roads to streams. The flowpath followed by runoff is the key to understanding road erosion processes. On rutted roads, the fl...