SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

Ramakrishnan, D.; Bandyopadhyay, Arnab; Kusuma, K. N.

doi:10.1007/s12040-009-0034-5

Cited by 154 publications

(71 citation statements)

References 31 publications

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“…A curve number is used to ascertain how much rainfall infiltrates into soil and how much rainfall becomes surface runoff. The values range from 0 to 100 and they represent the ability of the land surface to capture water [1]. According to Balvanshi and Tiwari [12] low curve number indicates that water easily infiltrates into soils giving rise to less runoff while high curve number means that water is not captured by the land surface; thus, more runoff is generated.…”

Section: Curve Numbermentioning

confidence: 99%

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Assessing Land Suitability for Rainwater Harvesting Using Geospatial Techniques: A Case Study of Njoro Catchment, Kenya

Maina

Raude

2016

Applied and Environmental Soil Science

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Water demand increases as population increases leading to overexploitation of water resource. Consequently, there is need for improved water resources management complemented with rain water harvesting within the catchments. This study sought to assess land suitability for surface runoff harvesting using geospatial techniques. Land use/land cover maps of the area were derived from Landsat image. Land use and soils data were used in generating curve number map of the catchment. Lineaments greatly affect the storage depending on whether runoff is for surface storage or ground water recharge purposes. As a result, ArcGIS was used in delineating the lineaments from Digital Elevation Model (DEM) of the catchment. Further, using weighted overlay the catchment was grouped into categories of restricted, not suitable, moderately suitable, suitable, or highly suitable. The study found that forest, agriculture, and built-up areas occupied about 39.42%, 36.32%, and 1.35% of catchment area, respectively. A large part of catchment was found to have curve number range of 82-89. About 50% of the catchment was found to fall within suitable and highly suitable categories. This implied that a great potential exists for rain water harvesting within the catchment.

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Section: Curve Numbermentioning

confidence: 99%

“…One of the vital requirements for life, economic, and social development is water [1]. Water is required by human beings, plants, and animals and for ecosystem functions.…”

Section: Introductionmentioning

confidence: 99%

Assessing Land Suitability for Rainwater Harvesting Using Geospatial Techniques: A Case Study of Njoro Catchment, Kenya

Maina

Raude

2016

Applied and Environmental Soil Science

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“…The most important variables for the efficient water recharge by helicopter and the functionality of SCALL (Table 1) were selected according to Dai-Ré (2003), Ramakrishnan et al (2009);Escamilla et al (2010) and Weerasinghe et al (2010) and interviews with helicopter flight coordinator For spatially process variables and develop maps, ArcView 3.2 and ArcGIS 9.2 was used. utilizaron un sistema espacial experto y árboles de decisión construidos con base en directrices técnicas e información de expertos, con las siguientes variables: uso del suelo, pendiente, escurrimiento potencial, proximidad a caminos, geología, suelos y drenaje.…”

Section: Selection Of Variablesmentioning

confidence: 99%

“…Esta última equivale a una precipitación pluvial de 12.7 a 38. 1 mm ocurrida en los 5 días previos que se recomienda para el diseño en embalses pequeños (Ramakrishnan et al, 2009). …”

Section: Selección De Variablesunclassified

Aptitud Territorial Para Establecer Sistemas De Captación Del Agua De Lluvia Para Combatir Incendios Forestales

Villalobos

Garduño

Mota

et al. 2018

RMCF

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RESUMENEl control de incendios forestales con helicópteros es una práctica común en el Estado de México que está limitada por la disponibilidad de fuentes de agua para la recarga de las aeronaves. Los sistemas de captación del agua de lluvia (SCALL) se pueden usar para su abastecimiento. La identificación de sitios con aptitud para SCALL en zonas de alta incidencia de incendios es fundamental para mejorar la eficiencia del control aéreo; sin embargo, la selección de los lugares requiere integrar numerosas variables. En el presente estudio se efectuó un análisis de evaluación multicriterio mediante Sistemas de Información Geográfica (SIG) para identificar los sitios con aptitud para SCALL en el área de interés, para lo cual se eligieron cinco variables: velocidad de ráfaga de viento, distancia a los caminos, escurrimiento superficial, evaporación y densidad de incendios. Las variables fueron ponderadas con el apoyo del coordinador de vuelo de las aeronaves y se integraron en un mapa de aptitud por el método de combinación lineal ponderada en Arc Gis 9.2 y Arc View 3.2. Se detectaron de forma rápida y flexible dos sitios con aptitud para establecer SCALL en el área de estudio: uno al norte y otro al sur; y el mapa que los muestra se elaboró a una escala de 1 a 10.Palabras clave: Evaluación multicriterio, control aéreo de incendios forestales, combinación lineal ponderada, densidad de incendios forestales, escurrimiento superficial, velocidad de ráfaga. ABSTRACTAerial fire fighting with a helicopter is a usual practice in Mexico State, the availability of water near to the wildfire area is crucial to refill the bucket and reduce the time between successive drops. Rain Water Harvesting system (RWH) can be used to supply water for the helicopter to combat wildfires. Identification of potential sites for RWH at places with high recurrence of wildfire is essential to improve the efficiency of the practice. However, selection of appropriate sites for RWH requires the integration of several variables. The identification of suitability sites for RWH was achieved using a multicriteria spatial analysis in a Geographical Information System (GIS) environment at the East of Mexico State, for three municipalities Chalco, Ixtapaluca and Tlalmanalco. Five variables were used to identify suitable sites for RHW: wind speed, wildfire density, distance to roads, runoff and evaporation. Each variable was ranked and weighted consulting the expert and a Weighted Linear Combination (WLC) was performed to generate the suitability map using Arc Gis 9.2 and Arc View 3.2. Suitability sites for RWH that met most of the criteria considered are found in North and South of the study area. The conclusion is that the identification of suitability sites to establish RWH system to supply water for the helicopter with the proposed method is a rapid and flexible tool. The output suitability map for the study area showed sites for RHW systems ranked from 1 to 10.

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“…in the water and environmental research that have combined well with GIS and in these models the SCS-CN method is used to determine hydrological parameters (Zhan 2004, Kopp andNoman 2008). SCS method based on GIS was used in many studies for estimating runoff such as Ramakrishnan et al (2009) Dhawale (2013), estimated runoff with SCS method and they are used GIS to obtain the factors for determining runoff depth and curve number and in all of these studies, the results have been satisfactory. According to above in this study, Zilberchai runoff is estimated by using GIS tools including ArcCN-Runoff for determining curve number of the basin that is based on land use and hydrological soil groups, interpolation tool (IDW) for determining 24-hour rainfall for the basin as a raster, raster calculator for determining runoff height based on SCS methods and ArcHydro for calculating runoff.…”

Section: Introductionmentioning

confidence: 99%

Application of Gis in Modeling Zilberchai Basin Runoff

Malekani

Khaleghi

Mahmoodi

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Runoff is one of most important hydrological variables that are used in many civil works, planning for optimal use of reservoirs, organizing rivers and warning flood. The runoff curve number (CN) is a key factor in determining runoff in the SCS (Soil Conservation Service) based hydrologic modeling method. The traditional SCS-CN method for calculating the composite curve number consumes a major portion of the hydrologic modeling time. Therefore, geographic information systems (GIS) are now being used in combination with the SCS-CN method. This work uses a methodology of determining surface runoff by Geographic Information System model and applying SCS-CN method that needs the necessary parameters such as land use map, hydrologic soil groups, rainfall data, DEM, physiographic characteristic of the basin. The model is built by implementing some well known hydrologic methods in GIS like as ArcHydro, ArcCN-Runoff for modeling of Zilberchai basin runoff. The results show that the high average weighted of curve number indicate that permeability of the basin is low and therefore likelihood of flooding is high. So the fundamental works is essential in order to increase water infiltration in Zilberchai basin and to avoid wasting surface water resources. Also comparing the results of the computed and observed runoff value show that use of GIS tools in addition to accelerate the calculation of the runoff also increase the accuracy of the results. This paper clearly demonstrates that the integration of GIS with the SCS-CN method provides a powerful tool for estimating runoff volumes in large basins.

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SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India

Cited by 154 publications

References 31 publications

Assessing Land Suitability for Rainwater Harvesting Using Geospatial Techniques: A Case Study of Njoro Catchment, Kenya

Assessing Land Suitability for Rainwater Harvesting Using Geospatial Techniques: A Case Study of Njoro Catchment, Kenya

Aptitud Territorial Para Establecer Sistemas De Captación Del Agua De Lluvia Para Combatir Incendios Forestales

Application of Gis in Modeling Zilberchai Basin Runoff

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