Evaluating inland flood mitigation capacity under extreme rainfall conditions

Study Region Henan Province, central China, is a representative inland monsoon region in the Yellow River–Huai River transition zone, characterized by densely urbanized plains, agricultural lowlands, and vegetated western mountains. The region experienced severe pluvial flooding during the July 2021 Zhengzhou extreme rainfall event. Study Focus Pluvial flooding risks are increasing under climate change and urbanization, yet assessments of flood mitigation capacity (FMC) under extreme rainfall remain limited in inland regions. This study evaluates land-surface FMC, expressed as the runoff-retention ratio, under 24-h rainfall scenarios from 50 to 550 mm using a spatially explicit SCS-CN framework integrating land use, hydrological soil groups, and slope-adjusted curve numbers. Pixel-scale FMC degradation, spatial convergence under extreme rainfall, and urban core–fringe contrasts were analyzed. New Hydrological Insights for the Region FMC decreases nonlinearly with increasing rainfall. The strongest degradation occurs at 0–150 mm, followed by an operational saturation-transition interval at 150–300 mm. Spatial differences in runoff retention converge markedly beyond ~300 mm, reflecting saturation of finite land-surface storage in the SCS-CN framework. Under 0–300 mm rainfall, urban built-up areas showed roughly 0.20 lower R value than non-urban areas, while urban cores exhibited roughly 0.25 lower R value urban fringes. High-FMC areas were concentrated in mountainous, vegetated, and peri-urban regions, whereas low-FMC areas coincided with dense urban cores and low-lying river-adjacent zones.

Authors

Institutions

Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2026-09-30
DOI
https://doi.org/10.1016/j.ejrh.2026.104018
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Evaluating inland flood mitigation capacity under extreme rainfall conditions

Shi Shen, Yangguang Song, Lin Yue, Changqing Song
Journal of Hydrology Regional Studies
Flood Risk Assessment and Management
article

Evaluating inland flood mitigation capacity under extreme rainfall conditions

Shi Shen, Yangguang Song, Lin Yue, Changqing Song
article en

Abstract

Study Region Henan Province, central China, is a representative inland monsoon region in the Yellow River–Huai River transition zone, characterized by densely urbanized plains, agricultural lowlands, and vegetated western mountains. The region experienced severe pluvial flooding during the July 2021 Zhengzhou extreme rainfall event. Study Focus Pluvial flooding risks are increasing under climate change and urbanization, yet assessments of flood mitigation capacity (FMC) under extreme rainfall remain limited in inland regions. This study evaluates land-surface FMC, expressed as the runoff-retention ratio, under 24-h rainfall scenarios from 50 to 550 mm using a spatially explicit SCS-CN framework integrating land use, hydrological soil groups, and slope-adjusted curve numbers. Pixel-scale FMC degradation, spatial convergence under extreme rainfall, and urban core–fringe contrasts were analyzed. New Hydrological Insights for the Region FMC decreases nonlinearly with increasing rainfall. The strongest degradation occurs at 0–150 mm, followed by an operational saturation-transition interval at 150–300 mm. Spatial differences in runoff retention converge markedly beyond ~300 mm, reflecting saturation of finite land-surface storage in the SCS-CN framework. Under 0–300 mm rainfall, urban built-up areas showed roughly 0.20 lower R value than non-urban areas, while urban cores exhibited roughly 0.25 lower R value urban fringes. High-FMC areas were concentrated in mountainous, vegetated, and peri-urban regions, whereas low-FMC areas coincided with dense urban cores and low-lying river-adjacent zones.

Journal of Hydrology Regional StudiesVol. 68
Beijing Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 15%
Flood Risk Assessment and Management
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.

Evaluating inland flood mitigation capacity under extreme rainfall conditions — Shi Shen, Yangguang Song, et al. · Journal of Hydrology Regional Studies (2026) | TGRS Research Map | TGRS