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INVESTIGATION OF THE CURVE NUMBER METHOD FOR SURFACE RUNOFF ESTIMATION IN TROPICAL REGIONS
Stockholm University, Faculty of Science, Stockholm Resilience Centre.
Number of Authors: 4
2016 (English)In: Journal of the American Water Resources Association, ISSN 1093-474X, E-ISSN 1752-1688, Vol. 52, no 5, 1155-1169 p.Article in journal (Refereed) Published
Abstract [en]

This study tests the applicability of the curve number (CN) method within the Soil and Water Assessment Tool (SWAT) to estimate surface runoff at the watershed scale in tropical regions. To do this, surface runoff simulated using the CN method was compared with observed runoff in numerous rainfall-runoff events in three small tropical watersheds located in the Upper Blue Nile basin, Ethiopia. The CN method generally performed well in simulating surface runoff in the studied watersheds (Nash-Sutcliff efficiency [NSE] > 0.7; percent bias [PBIAS] < 32%). Moreover, there was no difference in the performance of the CN method in simulating surface runoff under low and high antecedent rainfall (PBIAS for both antecedent conditions: similar to 30%; modified NSE: similar to 0.4). It was also found that the method accurately estimated surface runoff at high rainfall intensity (e.g., PBIAS < 15%); however, at low rainfall intensity, the CN method repeatedly underestimated surface runoff (e.g., PBIAS > 60%). This was possibly due to low infiltrability and valley bottom saturated areas typical of many tropical soils, indicating that there is scope for further improvements in the parameterization/representation of tropical soils in the CN method for runoff estimation, to capture low rainfall-intensity events. In this study the retention parameter was linked to the soil moisture content, which seems to be an appropriate approach to account for antecedent wetness conditions in the tropics.

Place, publisher, year, edition, pages
2016. Vol. 52, no 5, 1155-1169 p.
Keyword [en]
runoff, precipitation, rainfall intensity, watershed, curve number, SWAT, Upper Blue Nile
National Category
Environmental Engineering Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-136935DOI: 10.1111/1752-1688.12446ISI: 000387170400011OAI: oai:DiVA.org:su-136935DiVA: diva2:1060834
Available from: 2016-12-30 Created: 2016-12-19 Last updated: 2016-12-30Bibliographically approved

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Citation style
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