Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
by
Roozbahani, Abbas
, Shahdany, Seied Mehdy Hashemy
, Movahedinia, Maryam
, Ghasabsaraei, Mojtaba Hamzeh
, Lord, Sara Azargashb
in
aco
/ Algorithms
/ Ant colony optimization
/ Bridges
/ canal restoration
/ Canals
/ Constraint modelling
/ Construction costs
/ Critical point
/ Design optimization
/ Discharge
/ Flood control
/ Flood discharge
/ Flooding
/ Floods
/ Hydraulics
/ Hydrology
/ node flooding
/ Objective function
/ optimization
/ Overflow
/ Parameters
/ Precipitation
/ Probability
/ Probability theory
/ Redesign
/ Rehabilitation
/ Runoff
/ Stormwater
/ Stormwater management
/ swmm
/ Urban areas
/ Urbanization
/ Width
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
by
Roozbahani, Abbas
, Shahdany, Seied Mehdy Hashemy
, Movahedinia, Maryam
, Ghasabsaraei, Mojtaba Hamzeh
, Lord, Sara Azargashb
in
aco
/ Algorithms
/ Ant colony optimization
/ Bridges
/ canal restoration
/ Canals
/ Constraint modelling
/ Construction costs
/ Critical point
/ Design optimization
/ Discharge
/ Flood control
/ Flood discharge
/ Flooding
/ Floods
/ Hydraulics
/ Hydrology
/ node flooding
/ Objective function
/ optimization
/ Overflow
/ Parameters
/ Precipitation
/ Probability
/ Probability theory
/ Redesign
/ Rehabilitation
/ Runoff
/ Stormwater
/ Stormwater management
/ swmm
/ Urban areas
/ Urbanization
/ Width
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
by
Roozbahani, Abbas
, Shahdany, Seied Mehdy Hashemy
, Movahedinia, Maryam
, Ghasabsaraei, Mojtaba Hamzeh
, Lord, Sara Azargashb
in
aco
/ Algorithms
/ Ant colony optimization
/ Bridges
/ canal restoration
/ Canals
/ Constraint modelling
/ Construction costs
/ Critical point
/ Design optimization
/ Discharge
/ Flood control
/ Flood discharge
/ Flooding
/ Floods
/ Hydraulics
/ Hydrology
/ node flooding
/ Objective function
/ optimization
/ Overflow
/ Parameters
/ Precipitation
/ Probability
/ Probability theory
/ Redesign
/ Rehabilitation
/ Runoff
/ Stormwater
/ Stormwater management
/ swmm
/ Urban areas
/ Urbanization
/ Width
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
Journal Article
Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
2021
Request Book From Autostore
and Choose the Collection Method
Overview
An increase in stormwater frequency following the rapid development of urbanization has drawn attention to the mitigating strategies in recent decades. For the first time, the present study aims to conduct a local rehabilitation in stormwater collecting systems by (i) detecting the critical nodes along with the canal network and (ii) redesigning the critical canal reaches using ant colony optimization (ACO) to create maximum capacity for flood discharge with minimum reconstruction cost while considering the probability of exceedance of the flood as a constraint. Hence, using the SWMM model, the flow in the collection system was simulated, and the inundation points in the study area in the eastern Tehran metropolis were determined. After determining the critical points, the hydraulic stimulation model for the selected canal flows was developed using HEC-RAS software to accurately simulate each critical bridge's flow. Then, the optimal parameters for the canal bed width and canal depth were obtained using ACO and defining a probability objective function using the flood probability exceedance as the redesign constraint. The results from the optimizer were compared with those of the LINGO nonlinear model. Finally, the operational performance of the redesigned system was evaluated using the optimal selected parameters. The results showed that in redesigning the studied canals, the two widening and deepening options are needed to obtain a discharge with sufficient flow capacity in various return periods (RPs). The optimization results for the first to third critical sections for a design discharge with a 100-year RPs showed that the calculated cost was 19.765(*106), 13.327(*106), and 43.139(*106) IR rials (1 USD = 202000 IRR), respectively. For the selected sections, the optimal bed width is 6.97, 8.97, and 10.93 m, and the optimal depth is 3.68, 4.81, and 4.04 m, respectively. The results indicate that the local modification in the eastern flood control canal adequately improved inundation problem reduction in various RPs – i.e., for a 10-year RP, the number of node flooding dropped from 4 to zero, the inundated area from 17% to zero, and the overflow volume from (10–45) to zero. It also reduced overflow volume from (30–65), (43–74), and (70–92) in the status quo to (4–12), (11–27), and (24–36) percent for precipitations with 25, 50 and 100-year RPs, respectively.
This website uses cookies to ensure you get the best experience on our website.