نتایج جستجو برای: runoff and streamflow prediction
تعداد نتایج: 16879789 فیلتر نتایج به سال:
In this paper, we analyzed the streamflow droughts based on the Percent of Normal Index (PNI) and clustering approaches in the Kurdistan Province, Iran, over the 1981-2010. The Kolmogorov-Smirnov (K-S) test was considered for streamflow time series and the results of K-S test indicated that streamflow time series did follow the normal distribution at the 0.05 significance level. Generally, the ...
climate change is one of the most important problems in the present century. so assessing and prediction of future changes is important on water resources and so important for economics and socio-economic consequences. the purpose of this research is assessing the effects of climate change on surface runoff volumes under the scenarios: a1b, a2 and b1 using hadcm3 general circulation model and i...
Hydroclimatological records are increasingly examined for evidence of trends and shifts that may assist in prediction of future climate change scenarios. This study investigates the trend and step changes in U.S. streamflow over a 52-year period 1951–2002 using data from 639 unimpaired streamflow stations categorized according to the hydrologic unit codes. This is particularly relevant since th...
First posted September 30, 2022 For additional information, contact: Director, Oregon Water Science CenterU.S. Geological Survey2130 SW 5th AvenuePortland, 97201 Chloride deicers have been applied by the Department of Transportation (ODOT) to Interstate Route 5 (I–5) from Oregon-California border north mile marker 10 for several years in high-elevation area known as Siskiyou Pass. Magnesium chl...
Abstract. Streamflow hydrograph analysis has long been used for separating streamflow into baseflow and surface runoff components, providing critical information studies in hydrology, climate water resources. Issues with established methods include the lack of physics arbitrary choice separation parameters, problems identifying snowmelt runoff, limitations on watershed size hydrogeological cond...
[1] The surface water budget of the Amazon River basin derived from the ERA40 reanalysis is evaluated by comparing it with observed precipitation (P), streamflow/runoff (R), and evapotranspiration (ET) data sets for the period of 1980–2002. The rainfall is averaged over 90% of the Amazon River basin, corresponding to the catchments of the Óbidos and Altamira streamflow gauges. The annual rainfa...
Floods are one of the most devastating types of worldwide disasters in terms of human, economic, and social losses. If authoritative data is scarce, or unavailable for some periods, other sources of information are required to improve streamflow estimation and early flood warnings. Georeferenced social media messages are increasingly being regarded as an alternative source of information for co...
In the last 100 years or so, desertification, degradation, and woody plant encroachment have altered huge tracts of semiarid rangelands. It is expected that the changes thus brought about significantly affect water balance in these regions; and in fact, at the headwater-catchment and smaller scales, such effects are reasonably well documented. For larger scales, however, there is surprisingly l...
Changes in both land use and rainfall patterns can lead to changes the hydrologic behavior of watershed. The long-term impact analysis (L-THIA) model has been used predict such analyze mitigation scenarios. is simple as only a small amount input data are required, but it direct runoff cannot determine streamflow. This study, therefore, aimed propose method for predicting monthly baseflow while ...
The SCS-curve number is one of the common methods to estimate drirect runoff in the watershed scale. There is often an uncertainty in predicting runoff in many areas due to to the model’s assumption on the initial abstraction ratio (l= 0.20). This study was conducted to evaluate the accuracy of SCS-CN method in estimating runoff in some semi-arid subbasins of the Aras river consits of the Livar...
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