نتایج جستجو برای: soil conservation service scs
تعداد نتایج: 604939 فیلتر نتایج به سال:
Soil Conservation Service (SCS) and overland flow models have been used for runoff modeling over major land mass of India. Remote sensing derived daily rainfall data (Climate Prediction Centre), high temporal NDVI data (SPOT VGT), DEM (GTOPO30) and soil texture maps were used as input for the runoff modeling. SCS model setup was done in GIS (Arc GIS) environment. In general the reported and mod...
In recent decades, due to the importance of watershed management programs and the need for adequate information and correct estimation of rainfall and runoff, many conceptual models have been proposed. These models have parameters that must be estimated according to observational data. However, finding the optimal values for the parameters of simulation models has always faced uncertainty. One ...
[1] The Soil Conservation Service curve number (SCS-CN) method is widely used to predict storm runoff for hydraulic design purposes, such as sizing culverts and detention basins. As traditionally used, the probability of calculated runoff is equated to the probability of the causative rainfall event, an assumption that fails to account for the influence of variations in soil moisture on runoff ...
In the Northeast US, saturation excess is the most dominant runoff process and locations of runoff source areas, typically called variable source areas (VSAs), are determined by the available soil water storage and the landscape topographic position. To predict runoff generated from VSAs some water quality models use the Soil Conservation Service Curve Number equation (SCS-CN), which assumes a ...
Estimating surface runoff for ungauged watershed is an important issue. The Soil Conservation Service Curve Number (SCS-CN) method developed from long-term experimental data is widely used to estimate surface runoff from gaged or ungauged watersheds. Many modelers have used the documented SCS-CN parameters without calibration, sometimes resulting in significant errors in estimating surface runo...
Predicting runoff in ungauged or poorly gauged watersheds is one of the key problems applied hydrology [...]
The process of infiltration is one of the most important components of the hydrological cycle. On the other hand, the direct measurement of infiltration process is difficult, time spending and expensive. Infiltration models play a main role in managing water resources. Therefore, different types of models with various degrees of complexity were developed to reach this aim. So, this research ca...
The physically-based flood frequency models use readily available rainfall data and catchment characteristics to derive the flood frequency distribution. In the present study, a new physically-based flood frequency distribution has been developed. This model uses bivariate exponential distribution for rainfall intensity and duration, and the Soil Conservation Service-Curve Number (SCS-CN) metho...
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