@Article{cmc.2020.06513,
AUTHOR = {Fengchang Xue, Juan Tian, Wei Wang, Yanran Zhang, Gohar Ali},
TITLE = {Parameter Calibration of SWMM Model Based on Optimization  Algorithm},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2189--2199},
URL = {http://www.techscience.com/cmc/v65n3/40163},
ISSN = {1546-2226},
ABSTRACT = {For the challenge of parameter calibration in the process of SWMM (storm 
water management model) model application, we use particle Swarm Optimization (PSO) 
and Sequence Quadratic Programming (SQP) in combination to calibrate the parameters 
and get the optimal parameter combination in this research. Then, we compare and 
analyze the simulation result with the other two respectively using initial parameters and 
parameters obtained by PSO algorithm calibration alone. The result shows that the 
calibration result of PSO-SQP combined algorithm has the highest accuracy and shows 
highly consistent with the actual situation, which provides a scientific and effective new 
idea for parameter calibration of SWMM model, moreover, has practical guidance for 
flood control and disaster mitigation.},
DOI = {10.32604/cmc.2020.06513}
}