Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia

Understanding the spatial variability of land and water resources has significant importance for its planning, management, and utilization. It is also significant in understanding the response behavior of a catchment in order to model the basic physical processes. In this study, a weighted overlay a...

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Main Author: Demlie Gebresellassie Zelelew
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-12-01
Series:International Soil and Water Conservation Research
Online Access:http://www.sciencedirect.com/science/article/pii/S2095633916300880
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spelling doaj-3346114b51a34e5a89e221c917ae3ab42021-04-02T09:52:25ZengKeAi Communications Co., Ltd.International Soil and Water Conservation Research2095-63392017-12-0154293301Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern EthiopiaDemlie Gebresellassie Zelelew0Amhara Agricultural Research Institute, Sirinka Agricultural Research Centre, P.O. Box, 74, North Wollo, Woldia, EthiopiaUnderstanding the spatial variability of land and water resources has significant importance for its planning, management, and utilization. It is also significant in understanding the response behavior of a catchment in order to model the basic physical processes. In this study, a weighted overlay analysis technique using ArcGIS was implemented for developing a geo-database of the standard curve number (SCN) in a catchment around Northern Ethiopia. The spatial data were used to investigate a 'standard curve number method' for the simulation of the direct runoff at the outlet of the catchment. Both spot based rainfall and runoff measuring techniques were adopted for deriving an instant observed flow measurement, and to make a comparison with the simulated flow values. The results showed that the model underestimated most of the simulated values with a coefficient of regression of R2 = 0.52, with a proportion of higher variances between the simulated and observed runoff events. The result suggests that the accuracy of the model leaves room for significant improvement and the method could not be easily adopted in the catchment and other similar catchments in the semi arid regions of Ethiopia. For improving the prediction capacity of the model, further research in adjusting loss factors in the method is recommended. It is also suggested for developing a localized and modified SCN values by considering geologic, climatic and seasonal variation. The results of this study and the maps generated can be used for improving the hydrological understanding of the catchment. The study is useful for further investigation of the SCN methodology in other un-gauged catchments around the world. Keywords: Ungauged, Spatial database, Curve number, Runoff, GIShttp://www.sciencedirect.com/science/article/pii/S2095633916300880
collection DOAJ
language English
format Article
sources DOAJ
author Demlie Gebresellassie Zelelew
spellingShingle Demlie Gebresellassie Zelelew
Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
International Soil and Water Conservation Research
author_facet Demlie Gebresellassie Zelelew
author_sort Demlie Gebresellassie Zelelew
title Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
title_short Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
title_full Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
title_fullStr Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
title_full_unstemmed Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia
title_sort spatial mapping and testing the applicability of the curve number method for ungauged catchments in northern ethiopia
publisher KeAi Communications Co., Ltd.
series International Soil and Water Conservation Research
issn 2095-6339
publishDate 2017-12-01
description Understanding the spatial variability of land and water resources has significant importance for its planning, management, and utilization. It is also significant in understanding the response behavior of a catchment in order to model the basic physical processes. In this study, a weighted overlay analysis technique using ArcGIS was implemented for developing a geo-database of the standard curve number (SCN) in a catchment around Northern Ethiopia. The spatial data were used to investigate a 'standard curve number method' for the simulation of the direct runoff at the outlet of the catchment. Both spot based rainfall and runoff measuring techniques were adopted for deriving an instant observed flow measurement, and to make a comparison with the simulated flow values. The results showed that the model underestimated most of the simulated values with a coefficient of regression of R2 = 0.52, with a proportion of higher variances between the simulated and observed runoff events. The result suggests that the accuracy of the model leaves room for significant improvement and the method could not be easily adopted in the catchment and other similar catchments in the semi arid regions of Ethiopia. For improving the prediction capacity of the model, further research in adjusting loss factors in the method is recommended. It is also suggested for developing a localized and modified SCN values by considering geologic, climatic and seasonal variation. The results of this study and the maps generated can be used for improving the hydrological understanding of the catchment. The study is useful for further investigation of the SCN methodology in other un-gauged catchments around the world. Keywords: Ungauged, Spatial database, Curve number, Runoff, GIS
url http://www.sciencedirect.com/science/article/pii/S2095633916300880
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