Determination of SCS Runoff Curve Number and Landuse Characteristics of Khowai River Catchment, Tripura, India

2020 ◽  
pp. 167-173
Author(s):  
Prasun Mukherjee ◽  
Anubhab Das ◽  
Rajib Das
Keyword(s):  
Curve Number ◽  
River Catchment ◽  
Runoff Curve Number

scholarly journals Rainfall-Runoff Modeling Using the HEC-HMS Model for the Al-Adhaim River Catchment, Northern Iraq

Hydrology ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 58
Author(s):  
Ahmed Naseh Ahmed Hamdan ◽  
Suhad Almuktar ◽  
Miklas Scholz
Keyword(s):  
Geographical Information Systems ◽  
Hydrological Model ◽  
Daily Rainfall ◽  
Curve Number ◽  
Geographical Information ◽  
Coefficient Of Determination ◽  
Rainfall Runoff ◽  
Time Step ◽  
River Catchment ◽  
Northern Iraq

It has become necessary to estimate the quantities of runoff by knowing the amount of rainfall to calculate the required quantities of water storage in reservoirs and to determine the likelihood of flooding. The present study deals with the development of a hydrological model named Hydrologic Engineering Center (HEC-HMS), which uses Digital Elevation Models (DEM). This hydrological model was used by means of the Geospatial Hydrologic Modeling Extension (HEC-GeoHMS) and Geographical Information Systems (GIS) to identify the discharge of the Al-Adhaim River catchment and embankment dam in Iraq by simulated rainfall-runoff processes. The meteorological models were developed within the HEC-HMS from the recorded daily rainfall data for the hydrological years 2015 to 2018. The control specifications were defined for the specified period and one day time step. The Soil Conservation Service-Curve number (SCS-CN), SCS Unit Hydrograph and Muskingum methods were used for loss, transformation and routing calculations, respectively. The model was simulated for two years for calibration and one year for verification of the daily rainfall values. The results showed that both observed and simulated hydrographs were highly correlated. The model’s performance was evaluated by using a coefficient of determination of 90% for calibration and verification. The dam’s discharge for the considered period was successfully simulated but slightly overestimated. The results indicated that the model is suitable for hydrological simulations in the Al-Adhaim river catchment.

Discussion of “Runoff Curve Number with Varying Site Moisture”

1979 ◽  
Vol 105 (4) ◽  
pp. 439-441 ◽  
Author(s):  
Robert E. Rallison ◽  
Roger C. Cronshey
Keyword(s):  
Curve Number ◽  
Runoff Curve Number

scholarly journals Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland

2020 ◽  
Vol 12 (22) ◽  
pp. 9317
Author(s):  
Dariusz Młyński ◽  
Andrzej Wałęga
Keyword(s):  
Error Function ◽  
Strong Relationship ◽  
Curve Number ◽  
Western Carpathians ◽  
Asymptotic Model ◽  
Efficiency Coefficient ◽  
Direct Runoff ◽  
Slope Correction ◽  
The Relationship

The aim of this study was to identify the form of the dependence describing the relationship between rainfall (P) and the curve number (CN) parameter using the Natural Resources Conservation Service (NRCS-CN) method in the mountain catchments of the Western Carpathians. The study was carried out in 28 catchments areas in the Western Carpathians in the Upper Vistula Basin, Poland. The study was conducted in the following stages: determination of the volume of the direct runoff using the NRCS-CN method, determination of the P–CN relationship using asymptotic functions, kinetic equation and complementary error function; determination of the volume of the direct runoff from the catchment area, accounting for the correction of the decline; determination of the value of the efficiency coefficient of the analysed models. On the basis of the conducted study, a strong relationship was found between the direct runoff and the rainfall that caused it. The study showed that the empirical values of the CN parameter differed from the values determined on the basis of the volume of rainfall and runoff. The vast majority of study catchments were characterised by a standard P–CN relationship. The kinetic model was found to be the best model to describe the P–CN relationship. The asymptotic model showed the greatest stability for high rainfall episodes. It was shown that the application of the catchment slope correction improved the quality of the NRCS-CN model.

Determination of number of check dams by artificial neural networks in arid regions of Iran

2015 ◽  
Vol 72 (6) ◽  
pp. 952-959 ◽  
Author(s):  
Seyed Ali Asghar Hashemi ◽  
Hamed Kashi
Keyword(s):  
Curve Number ◽  
Absolute Error ◽  
Coefficient Of Determination ◽  
Ann Model ◽  
Effective Parameters ◽  
Check Dams ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Mlp Model

An artificial neural network (ANN) model with six hydrological factors including time of concentration (TC), curve number, slope, imperviousness, area and input discharge as input parameters and number of check dams (NCD) as output parameters was developed and created using GIS and field surveys. The performance of this model was assessed by the coefficient of determination R2, root mean square error (RMSE), values account and mean absolute error (MAE). The results showed that the computed values of NCD using ANN with a multi-layer perceptron (MLP) model regarding RMSE, MAE, values adjustment factor (VAF), and R2 (1.75, 1.25, 90.74, and 0.97) for training, (1.34, 0.89, 97.52, and 0.99) for validation and (0.53, 0.8, 98.32, and 0.99) for test stage, respectively, were in close agreement with their respective values in the watershed. Finally, the sensitivity analysis showed that the area, TC and curve number were the most effective parameters in estimating the number of check dams.

Runoff Curve Number Method: Examination of the Initial Abstraction Ratio

2003 ◽  
Author(s):  
Donald E. Woodward ◽  
Richard H. Hawkins ◽  
Ruiyun Jiang ◽  
Allen T. Hjelmfelt, Jr. ◽  
Joseph A. Van Mullem ◽  
...  
Keyword(s):  
Curve Number ◽  
Initial Abstraction ◽  
Curve Number Method ◽  
Runoff Curve Number

scholarly journals Determination of potential retention of the Fryšávka River basin

2010 ◽  
Vol 58 (5) ◽  
pp. 263-270 ◽  
Author(s):  
Tomáš Mašíček ◽  
František Toman
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Water Retention ◽  
Curve Number ◽  
Control Measures ◽  
Design Parameters ◽  
Software Products ◽  
Software Applications ◽  
Integrated Software

Hydrological models provide design parameters for the design of flood control measures. Runoff from the river basin is primarily determined by the amount of rainfall and water retention of the river basin. The Fryšávka River basin was chosen to determine the potential water retention of the river basin. Before the determination of potential retention preparatory work was carried out: description of the current state of land cover based on a detailed field survey, the representation of hydrological soil groups in the basin found in BPEJ (Bonitované půdně ekologické jednotky – Valuated land–ecological units) maps, delimitation of basin parts by the digital vector layer ZABAGED altimetry (Základní báze geografických dat – Fundamental base of geographic data) – 3D contour and evaluation of basin parts by the runoff curve numbers (CN). The processing of background data was performed by the program ArcGIS 9.2 of ArcView software products using a set of integrated software applications ArcMap, ArcCatalog and ArcToolbox. To assess the potential retention, as part of the hydrologic cha­ra­cte­ri­stics of the Fryšávka River basin, the curve number method, a modification of the deterministic episode model DesQ–MAXQ, was used. The average numbers of runoff curves and the data about potential retention of river basin parts are presented in the form of map outputs.

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