Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques

AbstractSǎrǎţel River basin, which is located in Curvature Subcarpahian area, has been facing an obvious increase in frequency of hydrological risk phenomena, associated with torrential events, during the last years. This trend is highly related to the increase in frequency of the extreme climatic phenomena and to the land use changes. The present study is aimed to highlight the spatial and quantitative changes occurred in surface runoff depth in Sǎrǎţel catchment, between 1990–2006. This purpose was reached by estimating the surface runoff depth assignable to the average annual rainfall, by means of SCS-CN method, which was integrated into the GIS environment through the ArcCN-Runoff extension, for ArcGIS 10.1. In order to compute the surface runoff depth, by CN method, the land cover and the hydrological soil classes were introduced as vector (polygon data), while the curve number and the average annual rainfall were introduced as tables. After spatially modeling the surface runoff depth for the two years, the 1990 raster dataset was subtracted from the 2006 raster dataset, in order to highlight the changes in surface runoff depth.

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Estimation of Surface Runoff in an Ungauged Basin Using SCS-CN Method, A Case Study of Manair River Basin in Telangana, India

Applied Ecology and Environmental Sciences ◽

10.12691/aees-8-6-3 ◽

2020 ◽

Vol 8 (6) ◽

pp. 340-350

Author(s):

Abdul Moid Mohammed ◽

Vijaya Lakshmi Thatiparthi ◽

Kesava Rao Pyla ◽

Abhilash Maryada

Keyword(s):

River Basin ◽

Surface Runoff ◽

Ungauged Basin ◽

Scs Cn

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Estimation of Surface Runoff Potential Using SCS-CN Method and GIS for Parts of Doddahalla3 Watershed in Krishna River Basin

Lecture Notes in Civil Engineering - Advances in Civil Engineering and Infrastructural Development ◽

10.1007/978-981-15-6463-5_34 ◽

2020 ◽

pp. 359-372

Author(s):

Bhavyata Jethva ◽

Ashim Ghosh ◽

Lingaraju Yale

Keyword(s):

River Basin ◽

Surface Runoff ◽

Runoff Potential ◽

Scs Cn

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Surface Runoff Estimation Of Sind River Basin Using SCS-CN Method And GIS Technology

10.21203/rs.3.rs-41218/v1 ◽

2020 ◽

Author(s):

Abanish Sharma ◽

Shruti Kanga

Keyword(s):

Remote Sensing ◽

Land Use ◽

Water Resources ◽

River Basin ◽

Surface Runoff ◽

Daily Rainfall ◽

Curve Number ◽

Land Use Land Cover ◽

Annual Average ◽

Scs Cn

Abstract Rainfall and runoff are significant hydrologic component in the water resources assessment. Rainfall is the primary source of recharge into the ground water. Understanding of rainfall and runoff is necessary for assessment of water availability. The runoff generation procedure is extremely complex. Accurate runoff assessment is carried out for useful management and improvement of water resources. Many methods are available to estimate runoff from rainfall; however, the SCS-CN method still remains the most popular, fruitful and frequently used method. Runoff curve number (CN) is a key factor of the SCS-CN method and it is depends on land use/land cover (LULC), soil type, and antecedent soil moisture (AMC). Different parameters, like land use/land cover, hydrological soil characteristics (HSG), rainfall data (P), Potential Maximum Retention (S), Antecedent Moisture Condition (AMC), Weighted Curve Number (CN), that are the mandatory inputs to SCS model, have been either derived from remote sensing data or from conventional data collection systems. The advance application of Remote Sensing and GIS techniques used to estimate surface runoff based on different parameters. The total area of present study is 26207.02 km2 of Sind River Basin, located in the northern part of Madhya Pradesh, India. The daily rainfall data of 23 weather stations (2005-2014) was collected and used to predict the daily runoff from the Sind river basin using SCS-CN method and GIS technique for the duration of 2005-2014, annual average of daily rainfall are 777.07 mm and annual average of daily runoff calculated for Sind river basin are 133.71 mm. The developed rainfall–runoff model has been used to understand the characteristics of the watershed and its runoff.

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Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area

Water ◽

10.3390/w13050704 ◽

2021 ◽

Vol 13 (5) ◽

pp. 704

Author(s):

Hussein Al-Ghobari ◽

Ahmed Z. Dewidar

Keyword(s):

Water Conservation ◽

Surface Runoff ◽

Rainwater Harvesting ◽

Global Climate ◽

Remote Sensing Data ◽

Curve Number ◽

Drainage Density ◽

Promising Alternative ◽

Thematic Layers ◽

Scs Cn

An increasing scarcity of water, as well as rapid global climate change, requires more effective water conservation alternatives. One promising alternative is rainwater harvesting (RWH). Nevertheless, the evaluation of RWH potential together with the selection of appropriate sites for RWH structures is significantly difficult for the water managers. This study deals with this difficulty by identifying RWH potential areas and sites for RWH structures utilizing geospatial and multi-criteria decision analysis (MCDA) techniques. The conventional data and remote sensing data were employed to set up needed thematic layers using ArcGIS software. The soil conservation service curve number (SCS-CN) method was used to determine surface runoff, centered on which yearly runoff potential map was produced in the ArcGIS environment. Thematic layers such as drainage density, slope, land use/cover, and runoff were allotted appropriate weights to produced RWH potential areas and zones appropriate for RWH structures maps of the study location. Results analysis revealed that the outcomes of the spatial allocation of yearly surface runoff depth ranging from 83 to 295 mm. Moreover, RWH potential areas results showed that the study areas can be categorized into three RWH potential areas: (a) low suitability, (b) medium suitability, and (c) high suitability. Nearly 40% of the watershed zone falls within medium and high suitability RWH potential areas. It is deduced that the integrated MCDA and geospatial techniques provide a valuable and formidable resource for the strategizing of RWH within the study zones.

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