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<p>Urbanization has exacerbated the severity of flood disasters, whereas Low Impact Development (LID) facilities play a pivotal role in alleviating urban pluvial flooding. This study aims to simulate urban flood dynamics and evaluate the disaster mitigation efficacy of LID facilities. By integrating multi-source data, the Soil Conservation Service model was employed to simulate flood inundation patterns under diverse scenarios. The model was further refined by incorporating the stormwater retention and treatment capacities of LID facilities, thereby enhancing its predictive accuracy for flood mitigation assessment. Suitability analysis was conducted to determine optimal types of LID facilities, followed by quantitative assessment of their impacts on flood mitigation. The results demonstrate: Enhancing LID efficiency significantly reduces shallow inundation, achieving a 76.19% reduction in inundated area under 10-year return period rainfall conditions, though improvements for deep inundation remain constrained; Expanding LID deployment area effectively decreases total inundation extent, but with diminishing marginal returns—total inundated area declined by 1.54% when suitability coefficient increased from 0.1 to 0.5, yet only by 0.03% from 0.5 to 1.0; Optimizing facility layout simultaneously improves regulation of both inundation area and depth. This study confirms the central role of LID facilities in alleviating urban flood disasters, providing empirical evidence to support resilient city construction strategies.</p>

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The essential function of low impact development facilities in mitigating urban flood disasters: approach for multi-source data fusion simulation

  • 期刊论文

  • 发表日期：

    2026年2月24日

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  • Fang Zhou,
  • Jiangtao Wang,
  • Zhisen Lu,
  • Qingwei Xu

摘要

Urbanization has exacerbated the severity of flood disasters, whereas Low Impact Development (LID) facilities play a pivotal role in alleviating urban pluvial flooding. This study aims to simulate urban flood dynamics and evaluate the disaster mitigation efficacy of LID facilities. By integrating multi-source data, the Soil Conservation Service model was employed to simulate flood inundation patterns under diverse scenarios. The model was further refined by incorporating the stormwater retention and treatment capacities of LID facilities, thereby enhancing its predictive accuracy for flood mitigation assessment. Suitability analysis was conducted to determine optimal types of LID facilities, followed by quantitative assessment of their impacts on flood mitigation. The results demonstrate: Enhancing LID efficiency significantly reduces shallow inundation, achieving a 76.19% reduction in inundated area under 10-year return period rainfall conditions, though improvements for deep inundation remain constrained; Expanding LID deployment area effectively decreases total inundation extent, but with diminishing marginal returns—total inundated area declined by 1.54% when suitability coefficient increased from 0.1 to 0.5, yet only by 0.03% from 0.5 to 1.0; Optimizing facility layout simultaneously improves regulation of both inundation area and depth. This study confirms the central role of LID facilities in alleviating urban flood disasters, providing empirical evidence to support resilient city construction strategies.