scholarly journals Corrigendum: Journal of Hydroinformatics 23 (1), 76–87: Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method, Rafael Hernández-Guzmán, Arturo Ruiz-Luna and Eduardo Mendoza. https://doi.org/10.2166/hydro.2020.087

2021 ◽  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Surface Runoff ◽  
Curve Number ◽  
Eduardo Mendoza ◽  
Curve Number Method

scholarly journals Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method

2020 ◽  
Author(s):  
Rafael Hernández-Guzmán ◽  
Arturo Ruiz-Luna ◽  
Eduardo Mendoza
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Modular Design ◽  
Curve Number ◽  
Land Use Land Cover ◽  
Rainfall Runoff ◽  
R Software ◽  
Antecedent Moisture ◽  
Curve Number Method ◽  
Moisture Conditions

Abstract This paper introduces a graphical user interface (GUI) for the R software that allows calculating the rainfall-runoff relationship, using the Curve Number method. This GUI is a raster-tool whose outputs are runoff estimates calculated using land use/land cover and hydrologic soil group maps. The package allows the user to select among three different antecedent moisture conditions and includes modifications about the initial abstraction parameter. We tested this GUI with data derived from two watersheds in Mexico and the outputs were compared with those produced using a well-established GIS tool in a vector environment. The results produced by these two approaches were practically the same. The main advantages of our package are: (1) ‘Sara4r’ is faster than previous vector based tools; (2) it is easy to use, even for people with no previous experience using R; (3) the modular design allows the integration of new routines and, (4) it is free and open source.

scholarly journals Hydrological modeling using the SWAT Model in urban and peri-urban environments: The case of Kifissos experimental sub-basin (Athens, Greece)

2021 ◽  
Author(s):  
Evgenia Koltsida ◽  
Nikos Mamassis ◽  
Andreas Kallioras
Keyword(s):  
Surface Runoff ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Model Performance ◽  
Curve Number ◽  
Urban Environments ◽  
Time Intervals ◽  
Curve Number Method ◽  
Hourly Rainfall

Abstract. SWAT (Soil and Water Assessment Tool) is a continuous time, semi-distributed river basin model that has been widely used to evaluate the effects of alternative management decisions on water resources. This study, demonstrates the application of SWAT model for streamflow simulation in an experimental basin with daily and hourly rainfall observations to investigate the influence of rainfall resolution on model performance. The model was calibrated for 2018 and validated for 2019 using the SUFI-2 algorithm in the SWAT-CUP program. Daily surface runoff was estimated using the Curve Number method and hourly surface runoff was estimated using the Green and Ampt Mein Larson method. A sensitivity analysis conducted in this study showed that the parameters related to groundwater flow were more sensitive for daily time intervals and channel routing parameters were more influential for hourly time intervals. Model performance statistics and graphical techniques indicated that the daily model performed better than the sub-daily model. The Curve Number method produced higher discharge peaks than the Green and Ampt Mein Larson method and estimated better the observed values. Overall, the general agreement between observations and simulations in both models suggests that the SWAT model appears to be a reliable tool to predict discharge over long periods of time.

Estimation of surface runoff for an agricultural watershed using remote sensing and GIS based curve number method

2021 ◽  
Vol 20 (1) ◽  
pp. 74-80
Author(s):  
Love Kumar ◽  
Dhiraj Khalkho ◽  
V.K. Pandey ◽  
M.P. Tripathi ◽  
G.K. Nigam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Runoff ◽  
Curve Number ◽  
Remote Sensing And Gis ◽  
Agricultural Watershed ◽  
Curve Number Method

Investigation of the Curve Number Method For Surface Runoff Estimation In Tropical Regions

2016 ◽  
Vol 52 (5) ◽  
pp. 1155-1169 ◽  
Author(s):  
Yihun Taddele Dile ◽  
Louise Karlberg ◽  
Raghavan Srinivasan ◽  
Johan Rockström
Keyword(s):  
Surface Runoff ◽  
Curve Number ◽  
Tropical Regions ◽  
Curve Number Method

scholarly journals Estimation of Runoff for Ozat Catchment using RS and GIS Based SCS-CN Method

2016 ◽  
Vol 11 (1) ◽  
pp. 212-217 ◽  
Author(s):  
Dipesh Chavda ◽  
Jaydip Makwana ◽  
Hitesh Parmar ◽  
Arvind Kunapara ◽  
Girish Prajapati
Keyword(s):  
Surface Runoff ◽  
Curve Number ◽  
Resource Planning ◽  
Critical Issue ◽  
Control Measures ◽  
Watershed Land Use ◽  
Rs And Gis ◽  
Curve Number Method ◽  
Semi Arid Region ◽  
Semi Arid

Estimation of runoff in a watershed is a prerequisite for design of hydraulic structures, reservoir operation and for soil erosion control measures. Water resource planning and management is important and critical issue in arid and semi-arid regions. Runoff from a watershed affected by several geo-morphological parameters and for a particular watershed land use change can affect the runoff volume and runoff rate significantly. Several methods are investigated to estimate the surface runoff from a catchment but the Curve Number method is mostly used. Present study was undertaken to estimate surface runoff and water availability for two sites (Ozat-2 and Zanzesri) in the Ozat catchment situated in Junagadh, Gujarat, India using RS and GIS based curve number method. The Weight curve number for the ozat catchment is 73.00. The correlation coefficient between calculated and observed runoff was good for both catchments. In this study found that SCS-curve number method along with RS and GIS can be used successfully in semi-arid region to simulate rainfall runoff and to estimate total surface water.

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