Determination of urban runoff coefficient using time series inverse modeling

TY - JOUR

T1 - Determination of urban runoff coefficient using time series inverse modeling

AU - Yin, Hai long

AU - Zhao, Zhi chao

AU - Wang, Ruoqian

AU - Xu, Zu xin

AU - Li, Huai zheng

N1 - Project supported by the China’s Major Science and Technology Program on Water Bodies Pollution Control and Treatment (Grant No. 2013ZX07304-002).

PY - 2017/10/1

Y1 - 2017/10/1

N2 - Runoff coefficient is an important parameter for the decision support of urban stormwater management. However, factors like comprehensive land-use type, variable spatial elevation, dynamic rainfall and groundwater elevation, make the direct estimation of runoff coefficient difficult. This paper presented a novel method to estimate the urban runoff coefficient using the inverse method, where observed time-series catchment outfall flow volume was employed as input for the water balance model and runoff coefficients of different catchments were treated as unknown parameters. A developed constrained minimization objective function was combined to solve the model and minimized error between observed and modeled outfall flow is satisfactory for the presenting of a set of runoff coefficients. Estimated runoff coefficients for the urban catchments in Shanghai downtown area demonstrated that practice of low impact design could play an important role in reducing the urban runoff.

AB - Runoff coefficient is an important parameter for the decision support of urban stormwater management. However, factors like comprehensive land-use type, variable spatial elevation, dynamic rainfall and groundwater elevation, make the direct estimation of runoff coefficient difficult. This paper presented a novel method to estimate the urban runoff coefficient using the inverse method, where observed time-series catchment outfall flow volume was employed as input for the water balance model and runoff coefficients of different catchments were treated as unknown parameters. A developed constrained minimization objective function was combined to solve the model and minimized error between observed and modeled outfall flow is satisfactory for the presenting of a set of runoff coefficients. Estimated runoff coefficients for the urban catchments in Shanghai downtown area demonstrated that practice of low impact design could play an important role in reducing the urban runoff.

KW - inverse modeling

KW - low impact design

KW - Runoff coefficient

KW - urban stormwater management

U2 - 10.1016/S1001-6058(16)60803-X

DO - 10.1016/S1001-6058(16)60803-X

M3 - Letter

AN - SCOPUS:85029061694

SN - 1001-6058

VL - 29

SP - 898

EP - 901

JO - Journal of Hydrodynamics

JF - Journal of Hydrodynamics

IS - 5

ER -