نتایج جستجو برای: runoff and streamflow prediction
تعداد نتایج: 16879789 فیلتر نتایج به سال:
Funding information U.S. Department of the Interior Southeast Climate Center; U.S. Department of Agriculture Forest Service Eastern Forest Environmental Threat Assessment Center; U.S. Geological Survey National Water Census Abstract 1. Streamflow is essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Changes in climate, land use and water use practi...
study and research on natural processes related to water including droughts and floods is necessitate for iran. due to difficulty to measure meteorological and hyrological elements effective on rainfall runoff processes in basins, selecting a suitable model, which is able to simulate these processes with the minimum input data, is necessary. in addition, understanding basin reaction to the prec...
Mountaintop removal coal mining (MTM) is a form of surface mining where ridges and mountain tops are removed with explosives to access underlying coal seams. The crushed rock material is subsequently deposited in headwater valley fills (VF). We examined how this added water storage potential affects streamflow using a paired watershed approach consisting of two sets of mined and unmined watersh...
Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models rainfall-runoff modeling, opening new possibilities prediction in basins (PUB). These studies usually feature local datasets model development, while at global scale req...
This paper explores the development and application of distributed hydrological models, focusing on the key decisions of how to discretize the landscape, which model structures to use in each landscape element, and how to link model parameters across multiple landscape elements. The case study considers the Attert catchment in Luxembourg—a 300 km mesoscale catchment with 10 nested subcatchments...
Modeling the hydrology of low‐gradient forested watersheds on shallow, poorly drained soils of the coastal plain is a challenging task due to complexities in watershed delineation, microtopography, evapotranspiration, runoff generation processes and pathways including flooding and submergence caused by tropical storms, and complexity of vegetation species. The main objective of this study was t...
An established rainfall-streamflow modelling methodology employing a six-parameter unit hydrograph-based rainfall-runoff model structure is developed further to give an improved model-fit to daily flows for the River Teifi at Glan Teifi. It is shown that a previous model of this type for the Teifi, which (a) accounted for 85% of the variance in observed streamflow, (b) incorporated a pure time ...
19 We show useful seasonal deterministic and probabilistic prediction skill of 20 streamflow and nutrient loading over watersheds in the Southeastern United States 21 (SEUS) for the winter and spring seasons. The study accounts for forecast 22 uncertainties stemming from the meteorological forcing and hydrological model 23 uncertainty. Multi-model estimation from three hydrological models, each...
Data were collected at two small, semiarid basins in Wyoming to determine the relation between rainfall, runoff, and sediment production. The basins were Dugout Creek tributary and Saint Marys Ditch tributary. Sufficient rainfall and runoff data were collected at Dugout Creek tributary to determine the source of sediment and the dominant sediment-production processes. Because runoff from only o...
water erosion is a major environmental problem in many parts of the world. majority of semi-arid countries are concerned because of their specific climate and soils sensitivity, but also because of the recent intensification of human activities and agricultural practices. accurate estimation of water erosion for various land-use and climate scenarios is so an important key to define sustainable...
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