Planning Stormwater Retention for Resilience Against Extreme Rainfalls

Rethinking How Cities Prepare for Extreme Rainfall Cities often prepare for extreme rainfall using a single “design storm,” such as a 100-year storm of a predetermined duration. But storms with the same return period can produce very different flooding losses. In “Planning Stormwater Retention for Resilience Against Extreme Rainfalls,” Liu, Qi, and Zhang develop a robust optimization framework that identifies the most damaging rainfall scenario for a city based on its existing drainage and retention infrastructure. Case studies of Toronto, Manhattan, and New Orleans show that the storm a city should prepare for changes with local infrastructure and climate conditions. The analysis also challenges the idea that greener is always more resilient; although green infrastructure offers important environmental benefits, concentrated gray infrastructure can become more valuable when rainfall is severe or budgets are tight. In Toronto, robust planning could save an estimated $6 million annually today and as much as $1.5 billion annually by 2050.

Authors

Institutions

Publication Details

Journal
Operations Research
Published
2026-10-05
DOI
https://doi.org/10.1287/opre.2025.2161
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Planning Stormwater Retention for Resilience Against Extreme Rainfalls

Sheng Liu, Aiqi Zhang, Wei Dong Qi
Operations Research
Urban Stormwater Management Solutions
article

Planning Stormwater Retention for Resilience Against Extreme Rainfalls

Sheng Liu, Aiqi Zhang, Wei Dong Qi
article en

Abstract

Rethinking How Cities Prepare for Extreme Rainfall Cities often prepare for extreme rainfall using a single “design storm,” such as a 100-year storm of a predetermined duration. But storms with the same return period can produce very different flooding losses. In “Planning Stormwater Retention for Resilience Against Extreme Rainfalls,” Liu, Qi, and Zhang develop a robust optimization framework that identifies the most damaging rainfall scenario for a city based on its existing drainage and retention infrastructure. Case studies of Toronto, Manhattan, and New Orleans show that the storm a city should prepare for changes with local infrastructure and climate conditions. The analysis also challenges the idea that greener is always more resilient; although green infrastructure offers important environmental benefits, concentrated gray infrastructure can become more valuable when rainfall is severe or budgets are tight. In Toronto, robust planning could save an estimated $6 million annually today and as much as $1.5 billion annually by 2050.

Operations Research
University of Toronto (CA), Wilfrid Laurier University (CA), Tsinghua University (CN)
Openalex Percentile: Top 19%
Urban Stormwater Management Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Planning Stormwater Retention for Resilience Against Extreme Rainfalls — Sheng Liu, Aiqi Zhang, et al. · Operations Research (2026) | TGRS Research Map | TGRS