TY - GEN
T1 - A sensitivity analysis of Storm Water Management Model in a residential area
AU - Qing, Chang
AU - Kazama, So
AU - Touge, Yoshiya
PY - 2018/9/1
Y1 - 2018/9/1
N2 - This study discussed the sensitivity of main parameters of urban storm drainage system based on Storm Water Management Model. A residential dominated catchment in Sendai city of Japan was chosen as the study area. The parameter sensitivities were considered with different rainfall condition, model spatial scale and infiltration equations. The parameters about imperviousness, roughness, initial loss and infiltration were considered. Three patterns of rainfall with same total depth were designed: single peak, multi peak and flat continuous rainfall. And the models were built up with 2 different spatial scales to evaluate the scale effect on sensitivity. The Morris method was used for sensitivity analysis. The lower and upper limits of parameter range for sensitivity analysis were set to 50% and 150% of the initial parameter value. The result showed that Imperviousness was the most sensitive parameter, afterwards were the surface Manning roughness and depression storage depth. Sensitivities of Green-Ampt and Horton infiltration parameters as well as the initial loss parameters were influenced by rainfall characteristics. These parameters were more sensitive when the rainfall were less intensive. The sensitivity of catchment roughness and conduit roughness were scale dependent. Specifically, with finer spatial resolution, the conduit roughness tended to be more sensitive than coarser resolution.
AB - This study discussed the sensitivity of main parameters of urban storm drainage system based on Storm Water Management Model. A residential dominated catchment in Sendai city of Japan was chosen as the study area. The parameter sensitivities were considered with different rainfall condition, model spatial scale and infiltration equations. The parameters about imperviousness, roughness, initial loss and infiltration were considered. Three patterns of rainfall with same total depth were designed: single peak, multi peak and flat continuous rainfall. And the models were built up with 2 different spatial scales to evaluate the scale effect on sensitivity. The Morris method was used for sensitivity analysis. The lower and upper limits of parameter range for sensitivity analysis were set to 50% and 150% of the initial parameter value. The result showed that Imperviousness was the most sensitive parameter, afterwards were the surface Manning roughness and depression storage depth. Sensitivities of Green-Ampt and Horton infiltration parameters as well as the initial loss parameters were influenced by rainfall characteristics. These parameters were more sensitive when the rainfall were less intensive. The sensitivity of catchment roughness and conduit roughness were scale dependent. Specifically, with finer spatial resolution, the conduit roughness tended to be more sensitive than coarser resolution.
KW - Model scale
KW - Parameter
KW - SWMM
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85064015778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064015778&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85064015778
T3 - Proceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
SP - 139
EP - 146
BT - Proceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress
A2 - Warniyati, Warniyati
A2 - Legono, Djoko
A2 - Hambali, Roby
A2 - Benazir, null
A2 - Setiawan, Hendy
A2 - Olii, Muhammad Ramdhan
A2 - Karlina, null
A2 - Ahmad, Johan Syafri Mahathir
A2 - Hairani, Ani
PB - Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
T2 - 21st Congress of International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
Y2 - 2 September 2018 through 5 September 2018
ER -