Analyses of landuse change impacts on catchment runoff using different time indicators based on SWAT model |
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| Institution: | 1. Petrobrás Biocombustível S.A., Av. República do Chile, 65 — Centro, 20031-912 Rio de Janeiro, RJ, Brazil;2. Espírito Santo Federal University/UFES, Forest and Wood Sciences Department, PO Box 16, 29500-000 Alegre, ES, Brazil;3. Federal Institute of Education, Science and Technology of Espírito Santo (IFES), Rive, 29500-000 Alegre, ES, Brazil;1. Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Technische Hochschule Köln, Betzdorferstr. 2, 50679 Cologne, Germany;2. Institut für Geographie, Fakultät für Physik und Geowissenschaften, Universität Leipzig, Leipzig, Germany;1. Center for Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, Ethiopia;2. Blackland Research and Extension Center, Texas A&M Agrilife Research, TX, USA;3. Department of Natural Resource Management, College of Agriculture and Environmental Science, Adigrat University, Ethiopia;1. College of Water Sciences, Beijing Normal University, Beijing 100875, PR China;2. Joint Center for Global Change Studies, Beijing 100875, PR China;3. Yellow River Institute of Hydraulic Research, Zhengzhou, Henan 450003, PR China;4. Yellow River Institute of Hydrology and Water Resources, Zhengzhou, Henan 450004, PR China |
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| Abstract: | Previous researches mainly focused on the runoff responses to landuse change based on annual, seasonal or monthly time scales, there are few studies based on daily scale. We conducted a comprehensive investigation into runoff responses on the daily scale as well as annual and monthly time scales using SWAT, and compared the impacts of time scales with different time indicators quantitatively. Jinjiang, a coastal catchment of southeast China with a humid sub-tropical climate, was used for simulations. A calibrated SWAT model produced satisfactory reproduction of annual, monthly and daily runoff processes over a nine-year (2002–2010) period at three gauging stations. Runoff was then simulated and compared using the same meteorological input but two different landuse scenarios (1985 and 2006, with reduced forest and increased cropland and urbanized area). The results showed varying change in runoff among three time scales and three catchments. The annual runoff had the smallest increase between two scenarios, monthly runoffs had medium rates (increasing in all months except October–November), and daily runoff had the largest rates with the increase in flood peaks but decrease in drought flows, because of the variable influence on interception/evapotranspiration loss, percolation and antecedent soil water storage. Indicators of different time scales (annual runoff, monthly runoff, maximum 1-day and 5-day flood runoff, minimum 1-day and 7-day runoff) proved appropriate for analysing landuse change impacts. |
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| Keywords: | Landuse change Change in runoff Flood indicator Drought indicator SWAT model Jinjiang catchment |
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