Development and application of a rainfall-runoff model for semi-arid regions

Cirilo, José Almir; Verçosa, Lívia Fragoso de Melo; Gomes, Mayara Maria de Arruda; Feitoza, Maria Alice Britto; Ferraz, Gadadhara de Figueiredo; Silva, Bruno de Melo

doi:10.1590/2318-0331.252020190106

Cited by 11 publications

(8 citation statements)

References 59 publications

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“…A great challenge is to select the proper runoff model which suits the available data. This problem has been faced by several researchers who have studied and analyzed watershed in arid regions to developed appropriate rainfall-runoff models (Cirilo et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Flood hazard assessment using Geographic Information Systems of wadi El-dukhan, western desert, Sohag Governorate, Egypt

Ali

Orabi

Alkhashab

et al. 2022

Journal of Egyptian Academic Society for Environmental Developm

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The study aims to investigate Wadi Dukhan in the Western Desert in Sohag Governorate, which has an area of 50 square kilometers in terms of its nature and the rainfall that falls on it, in order to identify the places at risk of flooding. This study employed gridbased Curve Number (CN) method through the GIS drainage analysis operating on digital elevation models (DEM) to estimate surface runoff depth in Wadi El-Dukhan catchment, Sohag, Egypt. In the SCS (Soil Conservation Service) based hydrologic modelling system, the CN plays a significant role in determining runoff. It takes into account factors like slope, vegetation cover, and catchment area. The curve number values from NRCS standard tables were assigned to the intersected hydrologic soil groups and land use maps to generate CN values map. Effect of slope on CN values and runoff depth was determined. Topographic, soil and land use maps data were used in preprocessing in the Arc GIS 9.3 and Arc Hydro 9 for computing Hydrologic parameters. To estimate the curve number from which the daily runoff was approximated, GIS software was used for data generation, storage, manipulation, and integration. Calculations were made for surface storage volume and initial abstraction.It was found that during the last six years (2010-2016), Wadi Dukhan rained six times, three of these events were during 2012, while the rest of the times were once a year. The rain at 2012 was the highest (1 mm / hour). According to the geological assessment of the area it has been found that there are two main areas. The first is made of hardened limestone, which reduces water intrusion and increases runoff. The hydrological soil group 'C' was chosen for this area, so the corresponding CN was equal to 86. This value increases with increasing slope; it was in some places up to 86. The second category consisted of Quaternary flood sediments, which consist of grains sand and gravel, causing a decrease in runoff rates and an increase in the possibility of water infiltration into groundwater; this class is classified as 'A' hydrologic soil group type. The corresponding CN value was 63. This value also differed according to the slope difference in this region. Also, in the present study Wadi Dukhan was divided into 29 subcatchments. It was found that a very large area of the region has a high CN value of 86, which means that the study area is in a poor hydrological condition that makes the water run-off high. This is due to the type of soil and poor vegetation.

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Section: Methodsmentioning

confidence: 99%

Flood hazard assessment using Geographic Information Systems of wadi El-dukhan, western desert, Sohag Governorate, Egypt

Ali

Orabi

Alkhashab

et al. 2022

Journal of Egyptian Academic Society for Environmental Developm

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“…To quantify the flow that can be captured in the reservoirs, the time series of flow and precipitation of stations close to the reservoirs were used. Assuming that the physical and climatic characteristics of the watershed are similar to the dam [29], the daily flow was calculated in proportion to the drainage area between the fluviometric station and the drainage area controlled by each dam. The evaporation rate was obtained at the meteorological stations closest to each of the reservoirs.…”

Section: Reservoirs Operationmentioning

confidence: 99%

Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region

Souza

Cirilo

Bezerra

et al. 2023

Water

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To alleviate the impacts of water shortages and ensure the effective allocation of water resources, the integration of multiple sources has been a viable but challenging alternative for water resource managers. A robust decision support system (DSS) reduces the complexity of decision making and allows the user to define operational strategies that reduce costs and address system limitations. Through the Particle Swarm Optimization (PSO) collective intelligence algorithm and the operational zoning of reservoirs, it was possible to identify the monthly flow allocation for the Agreste of Pernambuco in Brazil. The analysis of unit costs allowed us to conclude that high local energy tariffs guide the DSS in the exploration of water-transfer works between basins, such as the Agreste pipeline, which had full use of approximately 2 m3/s in the analyzed scenarios. The study also sought to investigate the influence of rainy and dry periods, with the higher flows into local reservoirs in rainy periods leading the system to operate at a cost 2.6% higher compared to the dry period. The use of DSS was able to provide support and parameters that facilitate decision making, ensuring that the system operates efficiently and sustainably.

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“…The travel time for the catchment' main channel could then be obtained using Equation (20), which is expressed by:…”

Section: Lag Time and Wetted Area Approachmentioning

confidence: 99%

“…They appear to be very suitable because they require less data and simple structures. Moreover, they are less expensive and user friendly [1,[13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Runoff in Watersheds Located within Data-Scarce Regions

et al. 2022

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The interest in the use of mathematical models for the simulation of hydrological processes has largely increased especially in the prediction of runoff. It is the subject of extreme research among engineers and hydrologists. This study attempts to develop a simple conceptual model that reflects the features of the arid environment where the availability of hydrological data is scarce. The model simulates an hourly streamflow hydrograph and the peak flow rate for any given storm. Hourly rainfall, potential evapotranspiration, and streamflow record are the significant input prerequisites for this model. The proposed model applied two (2) different hydrologic routing techniques: the time area curve method (wetted area of the catchment) and the Muskingum method (catchment main channel). The model was calibrated and analyzed based on the data collected from arid catchment in the center of Jordan. The model performance was evaluated via goodness of fit. The simulation of the proposed model fits both (a) observed and simulated streamflow and (b) observed and simulated peak flow rate. The model has the potential to be used for peak discharges’ prediction during a storm period. The modeling approach described in this study has to be tested in additional catchments with appropriate data length in order to attain reliable model parameters.

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Development and application of a rainfall-runoff model for semi-arid regions

Cited by 11 publications

References 59 publications

Flood hazard assessment using Geographic Information Systems of wadi El-dukhan, western desert, Sohag Governorate, Egypt

Flood hazard assessment using Geographic Information Systems of wadi El-dukhan, western desert, Sohag Governorate, Egypt

Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region

Prediction of Runoff in Watersheds Located within Data-Scarce Regions

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