Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Assessment of climate change impact on snowmelt in the two mountainous watersheds using CCCma CGCM2
Abstract The purpose of this paper is to evaluate climate impact on snow hydrology using SLURP (Semi-distributed Land Use-based Runoff Process) model for two mountainous watersheds (A; 6661.5 km2 and B; 2694.4 km2) of South Korea. The climate change results of CCCma CGCM2 based on SRES A2 and B2 were adopted. Three sets of NOAA AVHRR images (1997–1998, 1999–2000, 2000–2001) were analyzed to prepare snow-related data of the model. Snow cover areas were extracted using channels 1, 3 and 4, and the snow depth was spatially interpolated using snowfall data of ground meteorological stations. For 4 years (1998–2001) discharge comparison, the average Nash-Sutcliffe efficiencies of A and B watersheds during the snow period (January to April) were 0.60 and 0.68, respectively. In case of A2 scenario, the 2100 runoff of A and B watersheds for 44.4% and 85.9% increase of snowfall increased 67.3% and 19.6% comparing with the 2000 runoff. In case of B2 scenario, the 2100 runoff for 10.3% and 41.3% increase of snowfall increased 38.8% and 9.8% for A and B watersheds, respectively. The results showed that the time of snowmelt runoff was advanced about one month.
Assessment of climate change impact on snowmelt in the two mountainous watersheds using CCCma CGCM2
Abstract The purpose of this paper is to evaluate climate impact on snow hydrology using SLURP (Semi-distributed Land Use-based Runoff Process) model for two mountainous watersheds (A; 6661.5 km2 and B; 2694.4 km2) of South Korea. The climate change results of CCCma CGCM2 based on SRES A2 and B2 were adopted. Three sets of NOAA AVHRR images (1997–1998, 1999–2000, 2000–2001) were analyzed to prepare snow-related data of the model. Snow cover areas were extracted using channels 1, 3 and 4, and the snow depth was spatially interpolated using snowfall data of ground meteorological stations. For 4 years (1998–2001) discharge comparison, the average Nash-Sutcliffe efficiencies of A and B watersheds during the snow period (January to April) were 0.60 and 0.68, respectively. In case of A2 scenario, the 2100 runoff of A and B watersheds for 44.4% and 85.9% increase of snowfall increased 67.3% and 19.6% comparing with the 2000 runoff. In case of B2 scenario, the 2100 runoff for 10.3% and 41.3% increase of snowfall increased 38.8% and 9.8% for A and B watersheds, respectively. The results showed that the time of snowmelt runoff was advanced about one month.
Assessment of climate change impact on snowmelt in the two mountainous watersheds using CCCma CGCM2
Shin, Hyung Jin (Autor:in) / Kim, Seong Joon (Autor:in)
KSCE Journal of Civil Engineering ; 11 ; 311-319
01.11.2007
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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