Climate Change Resilience and Adaptation

Incorporate climate change scenarios into watershed and urban water systems modeling with ease. PCSWMM enables you to evaluate the impacts of changing precipitation patterns, rising temperatures, and sea-level rise on hydrology, infrastructure, and water quality. Develop and design adaptive strategies for resilient urban environments, including enhanced stormwater management, green infrastructure optimization, and flood mitigation measures to address future climate uncertainties.

PCSWMM has tools to assist with climate change analysis and system resilience/adaptation modeling, which include:

Manipulate and visualize long-term time series data for calculating statistics and detecting trends in precipitation, temperature, and tides/sea-levels
Compatibility with (and guidance for applying) the EPA’s Climate Adjustment Tool
Manipulate and manage long-term rainfall Intensity-Duration-Frequency statistics for current and future climate scenarios
Flood risk hazard tools to depict incremental changes between current and future climate scenarios
Import long-term rainfall statistics (as IDF curves) from nearby gauges available from the NOAA Atlas 14 Precipitation Frequency Data Server and from Environment and Climate Change Canada
Connect to climate data resources around the world

Application of PCSWMM to explore possible climate change impacts on surface flooding in a peri-urban area of Pathumthani, Thailand

Date:

May 2013

Location:

Pathumthani, Thailand

Client:

Asian Institute of Technology; National Institute of Education, Nanyang Technological University

For more information:

Read the JWMM paper

Discussion

This study focused on Rattanakosin Village, Thailand, a peri-urban area near Bangkok. Under climate change scenarios, many urban areas in Southeast Asia may become increasingly susceptible to localized flooding due to greater rainfall extremes. This study investigated the effect of predicted climate change patterns on rainfall events in the area. The PCSWMM model included long-term storm simulation, flooded node detection with an annual volume of over 370,000,000 litres, and a model of the entire Rattanakosin Village. The study successfully predicted that the annual flood volume would increase from 367,200,000 L to 483,060,000 L from the years 2016 to 2091, and an additional 3 nodes would be flooded for more than 24 hours. This project will allow the municipality to implement measures to mediate flooding resulting from climate change.

Access to your 30-day full version of PCSWMM Professional 2D will follow once your information has been verified.

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