نتایج جستجو برای: runoff and streamflow prediction
تعداد نتایج: 16879789 فیلتر نتایج به سال:
• Baseflow: Baseflow is the water in a stream that is not directly associated with a specific precipitation events (i.e., event runoff). It is usually comprised of groundwater flow and slower shallow subsurface flow components including soil water drainage. • Drainage area/catchment/watershed: A watershed is the geographic area that contributes water to the same single point in a river or strea...
Skillful seasonal streamflow forecasts obtained from climate and land surface conditions could significantly improve water and energy management. Since climate forecasts are updated on a monthly basis, we evaluate the potential in developing operational monthly streamflow forecasts on a continuous basis throughout the year. Further, basins in the rainfall–runoff regime critically depend on the ...
Streamflow in the Himalayan rivers is generated from rainfall, snow and ice. The distribution of runoff produced from these sources is such that the streamflow may be observed in these rivers throughout the year, i.e. they are perennial in nature. Snow and glacier melt runoff contributes substantially to the annual flows of these rivers and its estimation is required for the planning, developme...
r a 200 .007 : +1 302 del.edu Summary The contributions of hillslope and riparian sources of runoff to streamflow were determined for four catchments (1.6–696 ha) in the Point Peter Brook watershed, a glaciated, forested, watershed in Western New York, USA. Investigations were performed for 10 storm events of varying size, intensity, and antecedent moisture conditions. Hydrometric, geochemical,...
As a result of quick progression in computer and information technologies, computer modeling has become a vital tool in watershed research and management practices. Stanford Watershed Model (SWM) is an integrated physically based Watershed model that can be used to simulate water flow stream/canal network and overland runoff, interflow and evaporation by considering the interaction between surf...
the wepp physically model is able to dynamically simulate runoff and soil erosion using physical concepts of erosion and hydraulic of overland flow science considering plant growth, residue decomposition, winter process. determination of the capability of this model in runoff and erosion estimation in different range type with investigation the effects of management were the main objectives of ...
Deriving relationships between catchment-scale hydrologic response and landscape attributes allows the hydrologic response of an ungauged catchment to be predicted from its landscape attributes and climate. In this study, a lumped conceptual rainfall-runoff model was applied at a daily timestep to 16 small (less than 1 km) catchments in the Maroondah region of Victoria, Australia. The six param...
Due to the scarcity of observational data and intricate precipitation–runoff relationship, individually applying physically based hydrological models machine learning (ML) techniques presents challenges in accurately predicting floods within data-scarce glacial river basins. To address this challenge, study introduces an innovative hybrid model that synergistically harnesses strengths multi-sou...
A parametric rainfall~runoff simulation model is used with dat~ from a point rainfall gage and data on daily potential evapotranspiration to predict flood volume and peak rates of runoff for small drainage areas. The model is based on bulkparameter approximations to the physical laws governing infiltration, soil-moisture accretion and depletion, and surface streamflow. Three case studies are pr...
Since the middle of 20th century, peak snowpack in Upper Rio Grande (URG) basin United States has been decreasing. Warming influences characteristics such as snow cover, depth, and Snow Water Equivalent (SWE), which can affect runoff quantity timing snowmelt runoff-dominated river systems URG basin. The purpose this research is to investigate variables are most important predicting naturalized ...
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