Comparison of the Curve Number Method (SCS-CN) Modifications and the Application of Measures for Soil Erosion Reduction and Flood Protection in Small Ungauged Catchments in the White Carpathian Mountains in Slovakia

Abstract. Cebu, with its growing development and increasing demand for water, needs tools and inputs to efficiently understand and manage its water resources. Rainfall runoff models were developed to model surface runoff which may be used to assess water availability. Soil Conservation System (SCS) Runoff Curve Number (CN) method predicts runoff based on an empirical curve number for ungauged watersheds. This study aims to estimate the amount of runoff for the catchments of Cebu Island using the SCS-CN Runoff technique. The data needed for the application of the method in this study were rainfall distribution data, land use/land cover and soil texture for curve number assignment, LiDAR DEM for the delineation of the catchments, and supporting runoff measurements from a different runoff estimation model for assessment of the results. The collected data were prepared by assigning the mean statistics of the rainfall distribution and the composite curve number for each catchment using Geographic Information System (GIS). The calculation of the runoff was also done using the same framework. Maps representing Cebu Island’s catchments’ runoff estimates were produced. Since observed runoff data were unavailable, the results were verified by comparing the SCS-CN estimated runoff to the results of a physically-based distributed hydrologic and hydraulics modelling software, FLO-2D. The SCS-CN estimations were found to coincide with the FLO-2D runoff estimates based on various statistical assessments. Although the results may have higher uncertainties due to the unavailability of observed runoff data, the SCS-CN Runoff method provided relevant results to that of a complex simulation model. Thus, the method may be applied to estimate runoff of ungauged catchments of Cebu Island, the results of which could provide relevant information for water resource management.

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Identifying Possible Locations to Construct Soil Water Conservation Structures by Using Hydrogeological and Geospatial Analysis

10.21523/gcj3.17010103 ◽

2017 ◽

Vol 1 (1) ◽

pp. 18-27 ◽

Cited By ~ 13

Author(s):

Ajaykumar Kadam ◽

Sanjay Kale ◽

Bhavana Umrikar ◽

R. Sankhua ◽

N. Pawar

Keyword(s):

Soil Erosion ◽

Soil Water ◽

Spatial Data ◽

Water Conservation ◽

Curve Number ◽

Modified Method ◽

Service Curve ◽

Irs P6 Liss Iv ◽

Scs Cn ◽

The Western Ghats

Abstract Identification of soil water conservation structures (SWCs) necessitates as the proximity of study area (Shivganga watershed) to the Western Ghats imparts high rainfall and runoff, resulting to accelerate soil erosion. To decrease soil erosion and improve water storage as well as recharge, the investigation of new possible structures is necessary. With this intent, suitable sites for SWC structures (check dam and percolation ponds) were identified by using hydro-spatial data such as soil, land use/cover, slope, runoff, infiltration data from IRS P6 LISS-IV imagery and other collateral data. Further, acquired data were processed to derive runoff by employing Soil Conservation Service Curve Number (SCS-CN) method and infiltration by Allen (2008) method. The Integrated Mission for Sustainable Development (IMSD) specifications were used for the identification of locations for constructing SWC structures. The results revealed that about 28% area is suitable for implementation of SWC structures. Total 45 locations SWC structures were derived with the present method, out of that 20 were already built. The superimposition of derived and existing locations shows (80-100%) accuracy, authenticates the reliability of the method. The present modified method will definitely help in speedy identification of a location for SWC structures.

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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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An advanced soil moisture accounting procedure for SCS curve number method

Hydrological Processes ◽

10.1002/hyp.6503 ◽

2007 ◽

Vol 21 (21) ◽

pp. 2872-2881 ◽

Cited By ~ 56

Author(s):

R. K. Sahu ◽

S. K. Mishra ◽

T. I. Eldho ◽

M. K. Jain

Keyword(s):

Soil Moisture ◽

Curve Number ◽

Soil Moisture Accounting ◽

Scs Curve Number ◽

Curve Number Method ◽

Accounting Procedure

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Estimation of Antecedent Soil Moisture Using Soil Conservation Service Curve Number (SCS-CN) Method Utilizing the Experimental Data of a Small Indian Watershed

10.1002/essoar.10501764.1 ◽

2020 ◽

Author(s):

Ishan Sharma ◽

Surendra Mishra ◽

Ashish Pandey

Keyword(s):

Experimental Data ◽

Soil Moisture ◽

Soil Conservation ◽

Curve Number ◽

Soil Conservation Service ◽

Antecedent Soil Moisture ◽

Service Curve ◽

Scs Cn

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EQUIVALENCE BETWEEN TOPMODEL AND THE NRCS CURVE NUMBER METHOD IN PREDICTING VARIABLE RUNOFF SOURCE AREAS

JAWRA Journal of the American Water Resources Association ◽

10.1111/j.1752-1688.2006.tb03836.x ◽

2006 ◽

Vol 42 (1) ◽

pp. 225-235 ◽

Cited By ~ 6

Author(s):

Mahmood H. Nachabe

Keyword(s):

Curve Number ◽

Source Areas ◽

Curve Number Method

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Estimation of Peak Flow in Ungauged Catchments Using the Relationship between Runoff Coefficient and Curve Number

Water ◽

10.3390/w10111669 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1669 ◽

Cited By ~ 5

Author(s):

Nam Kim ◽

Mun-Ju Shin

Keyword(s):

Peak Flow ◽

Curve Number ◽

Rational Method ◽

Runoff Coefficient ◽

Data Generation ◽

Ungauged Catchments ◽

Practical Applications ◽

Flow Estimation ◽

Rainfall Runoff Model ◽

The Relationship

Hourly flood flow estimation for gauged and ungauged catchments is a prerequisite for planning and water management. Various methods have been applied in a multitude of studies to calculate the peak flow for ungauged catchments. However, it is not simple for engineers to use the existing methods in practical applications. An easier method is suggested for this purpose in this study. The authors estimated the relationship between the runoff coefficient, intensity of rainfall, and curve number, and then utilized the relationship to calculated the peak flow using the rational method for ungauged catchments. Rainfall and flood time series for ungauged study catchments were generated by a simple data generation method and a distributed rainfall–runoff model. Results showed that the runoff coefficients simulated using the estimated relationship reasonably agree with the runoff coefficients in the studied ungauged catchments. In addition, the peak flow simulated using the rational method and the relationship highly agree with the peak flow in the ungauged catchments. Therefore, the peak flow in ungauged catchments can be easily calculated by this method, which is more pragmatic for engineers.

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