journal article·2025-10-29Open access

Intensified Rainfall, Growing Floods: Projecting Urban Drainage Challenges in South-Central China Under Climate Change Scenarios

Zhengduo Bao, Yuxuan Wu, Weining He, Nian She, Zhenjun Li

Applied Sciences· Volume 15· Issue 21

Abstract

Global climate change is intensifying extreme rainfall, exacerbating urban flood risks, and undermining the effectiveness of urban stormwater drainage systems (USDS) designed under stationary climate assumptions. While prior studies have identified general trends of increasing flood risk under climate change, they lack actionable connections between climate projections and practical flood risk assessment. Specifically, quantifiable forecasts of extreme rainfall for defined return periods and integrated frameworks linking climate modeling to hydrological simulation at the watershed scale. This study addresses these gaps by developing an integrated framework to assess USDS resilience under future climate scenarios, demonstrated through a case study in Changsha City, China. The framework combines dynamic downscaling of the MRI-CGCM3 global climate model using the Weather Research and Forecasting (WRF) model to generate high-resolution precipitation data, non-stationary frequency analysis via the Generalized Extreme Value (GEV) distribution to project future rainfall intensities (for 2–200-year return periods in the 2040s and 2060s), and a 1D-2D coupled urban flood model built in InfoWorks ICM to evaluate flood risk. Key findings reveal substantial intensification of extreme rainfall, particularly for long-term period events, with the 24 h rainfall depth for 200-year events projected to increase by 32% by the 2060s. Flood simulations show significant escalation in risk: for 100-year events, an area with ponding depth > 500 mm grows from 1.38% (2020s) to 1.62%, (2060s), and the 300–500 mm ponding zone expands by 21%, with long-return-period events (≥20 years) driving most future risk increases. These results directly demonstrate the inadequacy of stationary design approaches for USDS, which carries substantial applied significance for policymakers and stakeholders. Specifically, it underscores the urgent need for these key actors to update engineering standards by adopting non-stationary intensity-duration-frequency (IDF) curves and integrate Sustainable Urban Drainage Systems (SUDS) into formal flood management strategies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Flood Risk Assessment and Management · Urban Stormwater Management Solutions · Hydrology and Watershed Management Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China

Tsinghua Innovation Center in Zhuhai, Zhuhai 519000, China

Hunan Engineering Research Center of Sponge City Construction Integration Technology, Changsha 410004, China

School of Civil Engineering, Sun Yat-sen University, Zhuhai 519000, China

Funding

Zhuhai Science and Technology Plan Project in the Social Development Field

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