Simulation of a storm sewer network in industrial area: Comparison between models calibrated through experimental data

2007 ◽  
Vol 22 (8) ◽  
pp. 1221-1228 ◽  
Author(s):  
S. Artina ◽  
A. Bolognesi ◽  
T. Liserra ◽  
M. Maglionico
Keyword(s):  
Experimental Data ◽  
Industrial Area ◽  
Sewer Network ◽  
Storm Sewer

scholarly journals Decision making in flood risk based storm sewer network design

2011 ◽  
Vol 64 (1) ◽  
pp. 247-254 ◽  
Author(s):  
S. A. Sun ◽  
S. Djordjević ◽  
S. T. Khu
Keyword(s):  
Decision Making ◽  
Network Design ◽  
Flood Risk ◽  
Pareto Front ◽  
Multi Objective Optimization ◽  
Sewer System ◽  
Multi Objective ◽  
Design Storm ◽  
Sewer Network ◽  
Storm Sewer

It is widely recognised that flood risk needs to be taken into account when designing a storm sewer network. Flood risk is generally a combination of flood consequences and flood probabilities. This paper aims to explore the decision making in flood risk based storm sewer network design. A multi-objective optimization is proposed to find the Pareto front of optimal designs in terms of low construction cost and low flood risk. The decision making process then follows this multi-objective optimization to select a best design from the Pareto front. The traditional way of designing a storm sewer system based on a predefined design storm is used as one of the decision making criteria. Additionally, three commonly used risk based criteria, i.e., the expected flood risk based criterion, the Hurwicz criterion and the stochastic dominance based criterion, are investigated and applied in this paper. Different decisions are made according to different criteria as a result of different concerns represented by the criteria. The proposed procedure is applied to a simple storm sewer network design to demonstrate its effectiveness and the different criteria are compared.

scholarly journals A Novel SWMM Based Algorithm Application to Storm Sewer Network Design

Water ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 747 ◽  
Author(s):  
Zhiyu Shao ◽  
Xiaoyuan Zhang ◽  
Shuang Li ◽  
Shihu Deng ◽  
Hongxiang Chai
Keyword(s):  
Network Design ◽  
Sewer Network ◽  
Storm Sewer

A framework for optimal reliability-based storm sewer network design in flat areas

2017 ◽  
Vol 44 (3) ◽  
pp. 139-150 ◽  
Author(s):  
Ali Moussavi ◽  
Hossein Mohammad Vali Samani ◽  
Ali Haghighi
Keyword(s):  
Performance Criterion ◽  
Adaptive Genetic Algorithm ◽  
Sewer System ◽  
Hydraulic Simulation ◽  
Storm Water Management Model ◽  
Sewer Network ◽  
Design Alternatives ◽  
Proposed Model ◽  
Design Cost ◽  
Storm Sewer

This paper presents a framework for the optimal design of a storm sewer network in flat areas where there is insufficient energy from gravity for runoff drainage. A reliability index based on nodal partial flooding is introduced as a performance criterion and utilizes the intrinsic storage capacity of the sewer network. The Storm Water Management Model is used for hydraulic simulation of the sewer system. This model is coupled with an adaptive genetic algorithm to obtain the least-cost design of the network. The model offers numerous design alternatives with various levels of reliability. The model was successfully applied to the Kianpars storm sewer network, a flat district of the city of Ahvaz in Iran. The proposed model is useful for managing the budget and technical limitations of sewer system design in flat areas as well as efficiently deriving an optimum trade-off between design cost and reliability.

A general framework for flood risk-based storm sewer network design

2011 ◽  
Vol 8 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Si'Ao Sun ◽  
Slobodan Djordjević ◽  
Soon-Thiam Khu
Keyword(s):  
Network Design ◽  
Flood Risk ◽  
General Framework ◽  
Sewer Network ◽  
Storm Sewer
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