Influence of land cover data sources on estimation of direct runoff according to SCS-CN and modified SME methods

Andrzej Wałęga , Tomasz Salata

Abstract

The aim of this work was to assess the accuracy of direct runoff depth calculated according to an original Soil Conservation Service – Curve Number (SCS-CN) method and a modified Sahu-Mishra-Eldho (SME) method based on different sources of information on land cover. Main novelty of this work is using Database of topographic objects (BDOT10k) instead of Corine Land Cover (CLC) for the assessment of land cover in a catchment. The research was performed in the Kamienica river, a right tributary of the Dunajec, Poland. The effect of land cover data on runoff depth was assessed with the original SCS-CN method, and modified SME method. The value of CN parameter was estimated using two databases on land use, CLC and BDOT10k. BDOT10k was proven to be a considerably more precise land cover database that enabled more accurate interpretation. The study demonstrated the highest accuracy of direct runoff calculation with SME-CN method, irrespective of the approach used for determination of the catchment land use. The use of SME-CN instead of the original SCS-CN method provides much more accurate prediction of direct runoff in a catchment.
Author Andrzej Wałęga (FoEEaLS / DoSEaWM)
Andrzej Wałęga,,
- Department of Sanitary Engineering and Water Management
, Tomasz Salata (FoEEaLS / DoSEaWM)
Tomasz Salata,,
- Department of Sanitary Engineering and Water Management
Journal seriesCatena, ISSN 0341-8162, e-ISSN 1872-6887, (N/A 140 pkt)
Issue year2019
No172
Pages232-242
Publication size in sheets0.5
Keywords in EnglishRainfall-runoff episodes, Net rainfall, Corine Land Cover, BDOT10k, CN parameter, SME method
ASJC Classification1904 Earth-Surface Processes
DOIDOI:10.1016/j.catena.2018.08.032
URL https://www.sciencedirect.com/science/article/pii/S0341816218303564
Internal identifierWIŚIG/2019/4
Languageen angielski
Score (nominal)140
Score sourcejournalList
Publication indicators WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.694; WoS Impact Factor: 2018 = 3.851 (2) - 2018=4.149 (5)
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