Error propagation modeling for terrain analysis can provide insights into the robustness of terrain derivatives. For unconstrained terrain derivatives, such as stream and watershed delineation, the most widely used technique for error propagation modeling employs a Monte Carlo simulation of a spatially autocorrelated error model. The current study seeks to make this methodology more accessible ...

The Morro Bay estuary, located on the central Coast of California approximately half way between Los Angeles and San Francisco, is one of the most important wetlands on the west Coast as it supports wide variety of habitats including numerous sensitive and endangered plant and animal species. Various studies have identified accelerated erosion and subsequent sedimentation as a major threat for ...

water changes information in the hydrological system, in time and space, as an environmental issue takes heed of managers and decision makers in watershed management and river engineering, which can be addressed by using spatially distributed modeling. in this study simulation of water balance components in taleghan mountainous watershed is performed using the spatially distributed hydrological...

in many flood control projects, watershed management and water resources development, calculation of the river flow discharge is of the paramount importance which requires a comprehensive hydrological modeling of the region of interest. in this respect, lack of the existence of hydrometric and meteorology measuring stations in most of watersheds, has caused numerous problems in development and ...

Article history: Received 14 June 2013 Accepted 12 February 2014 Available online 6 June 2014 Communicated by Ram Yerubandi Index words: SWAT model Bayesian inference Uncertainty analysis Extreme events Runoff estimation Hamilton Harbour Extreme events appear to play an important role in pollutant export and the overall functioning of watershed systems. Because they are expected to increase in ...

Kuterdem, Can Ali. Integrated Watershed Management Using a Genetic AlgorithmBased Approach (Under the direction of Dr. Ranji S. Ranjithan) Watershed management requires consideration of a multitude of factors affecting water quality at the watershed-scale while integrating point and non-point sources of pollution and control. While the existing water quality modeling systems and associated quan...

We have developed and tested a model to assess the hydrologic and biogeochemical responses of seasonally snow covered alpine areas to changes in inputs of water, chemicals, and energy. This alpine hydrochemical model (AHM) is capable of incorporating a detailed understanding of watershed processes in order to simulate events critical to biota such as the ionic pulse associated with spring snowm...