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Stormwater Control Measures for Runoff and Water Quality Management in Urban Landscapes
Author(s) -
Sadeghi K. Majid,
Loáiciga Hugo A.,
Kharaghani Shahram
Publication year - 2018
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/1752-1688.12547
Subject(s) - stormwater , sizing , surface runoff , environmental science , computer science , urban runoff , storm water management model , selection (genetic algorithm) , low impact development , civil engineering , stormwater management , engineering , art , ecology , artificial intelligence , visual arts , biology
This study develops and tests a novel optimization method for optimally selecting and sizing stormwater control measures ( SCM s) in urban landscapes for selected design storms. The developed methodology yields SCM s that capture and retain stormwater via onsite percolation, remove stormwater pollutants, and minimize stormwater control expenditures. The resulting environmental optimization problem involves integer and real variables imbedded in an objective function that is subjected to multiple constraints. This study's methodology aims at practicality and ease of implementation in the solution of the SCM sizing and selection optimization problem while taking into account the main factors that govern stormwater management in urban landscapes. The near‐optimal global solution of the SCM selection and design problem is obtained with nonlinear programming and verified with the average of multiple solutions calculated with multiple runs of an optimization evolutionary algorithm. The developed methodology is illustrated with one stormwater project in the City of Los Angeles, California.