scholarly journals A GIS-based Distributed Parameter Model for Rainfall Runoff Calculation using Arc Hydro Tool and Curve Number Method for Chikugo River Basin in Japan

10.5109/18847 ◽  
2010 ◽  
Vol 55 (2) ◽  
pp. 313-319
Author(s):  
Haruka Iseri ◽  
Kazuaki Hiramatsu ◽  
Masayoshi Harada
Keyword(s):  
River Basin ◽  
Curve Number ◽  
Distributed Parameter ◽  
Rainfall Runoff ◽  
Distributed Parameter Model ◽  
Curve Number Method ◽  
Chikugo River

Simulation of rainfall runoff and pollutant load for Chikugo River basin in Japan using a GIS-based distributed parameter model

2011 ◽  
Vol 11 (1-4) ◽  
pp. 97-112 ◽  
Author(s):  
Le Van Chinh ◽  
Haruka Iseri ◽  
Kazuaki Hiramatsu ◽  
Masayoshi Harada ◽  
Makito Mori
Keyword(s):  
River Basin ◽  
Distributed Parameter ◽  
Rainfall Runoff ◽  
Pollutant Load ◽  
Distributed Parameter Model ◽  
Chikugo River

Runoff Estimation of the Kolong River Basin in Assam, India Using NRCS-Curve Number Method and Geospatial Techniques

2022 ◽  
pp. 441-453
Author(s):  
Manash Jyoti Bhuyan ◽  
Debashree Borah ◽  
Binod Kumar Nath ◽  
Nityananda Deka ◽  
Ashok Kumar Bora
Keyword(s):  
River Basin ◽  
Curve Number ◽  
Geospatial Techniques ◽  
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 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.

scholarly journals Open-loop temperature control for a distributed parameter model of a pipe

2020 ◽  
Vol 53 (2) ◽  
pp. 7765-7770
Author(s):  
Simon Bachler ◽  
Jens Wurm ◽  
Frank Woittennek
Keyword(s):  
Temperature Control ◽  
Open Loop ◽  
Distributed Parameter ◽  
Distributed Parameter Model

scholarly journals Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Luiz Claudio Galvão do Valle Junior ◽  
Dulce Buchala Bicca Rodrigues ◽  
Paulo Tarso Sanches de Oliveira
Keyword(s):  
Conversion Factor ◽  
Poor Performance ◽  
Curve Number ◽  
Storm Events ◽  
Rainfall Runoff ◽  
Initial Abstraction ◽  
Rainfall Depth ◽  
Standard Value ◽  
Tropical Watershed ◽  
Runoff Events

ABSTRACT The Curve Number (CN) method is extensively used for predict surface runoff from storm events. However, remain some uncertainties in the method, such as in the use of an initial abstraction (λ) standard value of 0.2 and on the choice of the most suitable CN values. Here, we compute λ and CN values using rainfall and runoff data to a rural basin located in Midwestern Brazil. We used 30 observed rainfall-runoff events with rainfall depth greater than 25 mm to derive associated CN values using five statistical methods. We noted λ values ranging from 0.005 to 0.455, with a median of 0.045, suggesting the use of λ = 0.05 instead of 0.2. We found a S0.2 to S0.05 conversion factor of 2.865. We also found negative values of Nash-Sutcliffe Efficiency (to the estimated and observed runoff). Therefore, our findings indicated that the CN method was not suitable to estimate runoff in the studied basin. This poor performance suggests that the runoff mechanisms in the studied area are dominated by subsurface stormflow.

Distributed parameter model for computing energy dissipation in brush-type electrostatic discharges

2005 ◽  
Vol 63 (3-4) ◽  
pp. 239-247 ◽  
Author(s):  
Joseph C. Crager ◽  
Mark N. Horenstein
Keyword(s):  
Energy Dissipation ◽  
Distributed Parameter ◽  
Electrostatic Discharges ◽  
Distributed Parameter Model

scholarly journals Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaowan Liu ◽  
Dingzhi Peng ◽  
Zongxue Xu
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Human Activities ◽  
Climate Changes ◽  
Balance Method ◽  
Variation Method ◽  
Rainfall Runoff ◽  
Jinsha River ◽  
Water Balance Method ◽  
Double Mass

Quantifying the impacts of climate changes and human activities on runoff has received extensive attention, especially for the regions with significant elevation difference. The contributions of climate changes and human activities to runoff were analyzed using rainfall-runoff relationship, double mass curve, slope variation, and water balance method during 1961–2010 at the Jinsha River basin, China. Results indicate that runoff at upstream and runoff at midstream are both dominated by climate changes, and the contributions of climate changes to runoff are 63%~72% and 53%~68%, respectively. At downstream, climate changes account for only 13%~18%, and runoff is mainly controlled by human activities, contributing 82%~87%. The availability and stability of results were compared and analyzed in the four methods. Results in slope variation, double mass curve, and water balance method except rainfall-runoff relationship method are of good agreement. And the rainfall-runoff relationship, double mass curve, and slope variation method are all of great stability. The four methods and availability evaluation of them could provide a reference to quantification in the contributions of climate changes and human activities to runoff at similar basins in the future.

Rainfall-runoff modelling of water resources in the upper Senegal River basin

2015 ◽  
Vol 32 (1) ◽  
pp. 89-101 ◽  
Author(s):  
Ansoumana Bodian ◽  
Alain Dezetter ◽  
Honoré Dacosta
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Rainfall Runoff ◽  
Senegal River ◽  
Senegal River Basin
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