Hydrological models are used to represent the rainfallrunoff and pollutant transport mechanisms within watersheds. Accurate representation of these dynamic and complex natural processes within a watershed is an important step in managing and protecting a watershed Artificial neural network (ANN) models are often used in hydrologic modeling. Typical ANN models are trained to use lumped data. How...

Public participation in environmental management is increasingly common across many natural resource sectors. Environmental policies in the water resources sector, in particular, depend upon both computer-based watershed modeling activities and public participation in watershed management decisions, though the integration of participation in watershed modeling remains uncommon. Case studies of ...

Watershed hydrologic and fate-andtransport models are widely used to forecast water quantity and quality responses to alternative land use and climate change scenarios. The ability of such tools to forecast changes in ecosystem services with reasonable accuracy depends on calibrating reliable simulations of streamflow, which in turn require accurate climatic forcing data. Precipitation is widel...

Twenty years is a long time to spend in prison, but it is a short time in intellectual history. In the few years Just prior to the foundation of this Association, we had come from remarkably complex but nevertheless rather superficial analysis of text as strings of characters or, perhaps, lexlcal units to programs for parsing that operated on complex grammatical symbols but according to rather ...

Modeling soil erosion, sediment yield, and runoff are crucial for managing reservoir capacity, water quality, watershed productivity. However, the monitoring modeling of erosion sedimentation rates in developing countries such as Ethiopia is not well practiced; thus, capacity diminishing at faster rates. In this study, Megech watershed, Upper Blue Nile Basin, were modeled using physically-based...

Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation is fundamental step in analyzing and understanding an image. In this paper, different segmentation algorithms are implemented. Watershed transform is region based segmentation technique. It changes your image into another image whose catchment basins are the objects you want to identify. Where...

This paper describes a new computing paradigm known as a problem solving environment ~PSE!, explores the role this new paradigm might play in watershed management and land use change analysis, and compares PSEs to similar technologies such as decision support systems and geographic information systems. A prototypical watershed management PSE organizes and unifies the diverse collection of softw...

A watershed management program is usually based on the results of watershed modeling. Accurate modeling results are decided by the appropriate parameters and input data. Precipitation is the most important input for watershed modeling. Precipitation characteristics usually exhibit significant spatial variation, even within small watersheds. Therefore, properly describing the spatial variation o...