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<p>Rapid urbanization has altered urban blue–green–gray landscape patterns, weakened stormwater regulation capacity, and increased pluvial flood risk in many cities worldwide. Understanding how landscape composition and configuration influence stormwater regulation services is therefore essential for sustainable urban planning. Taking Nanning, China, as a case study, this research quantitatively assessed blue–green–gray landscape patterns, runoff spatial heterogeneity, and stormwater regulation services under different rainfall return periods. It further examined how storage and drainage infrastructures interact with landscape patterns in shaping stormwater regulation performance. The results showed that runoff exhibited significant spatial clustering, with clear high–high and low–low agglomeration patterns, and was primarily controlled by impervious surfaces, followed by bare land, vegetation, and water bodies. Stormwater regulation services declined over time, while their spatial heterogeneity became more pronounced. In addition, landscape pattern indices had nonlinear and land-use-specific effects on stormwater regulation services, revealing both positive and negative relationships depending on the type and configuration of the underlying surface. The study further identified quantitative associations between multidimensional runoff control indicators and stormwater regulation services, highlighting the importance of spatial optimization of urban land systems. The findings provide transferable evidence for optimizing blue–green–gray infrastructure and improving hydrological resilience in rapidly urbanizing cities.</p>

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The quantitative assessment of stormwater regulation services under urbanized landscape pattern employed SCS model in the whole Nanning, China

  • 期刊论文

  • 发表日期：

    2026年7月4日

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  • Yunchuan Yang,
  • Minhui Feng,
  • Guangqiong Bi,
  • Liping Liao,
  • Jiaoyin Wei,
  • Yaqian Tang,
  • Yuhong Huang,
  • Chongxun Mo,
  • Guikai Sun,
  • Xungui Li

摘要

Rapid urbanization has altered urban blue–green–gray landscape patterns, weakened stormwater regulation capacity, and increased pluvial flood risk in many cities worldwide. Understanding how landscape composition and configuration influence stormwater regulation services is therefore essential for sustainable urban planning. Taking Nanning, China, as a case study, this research quantitatively assessed blue–green–gray landscape patterns, runoff spatial heterogeneity, and stormwater regulation services under different rainfall return periods. It further examined how storage and drainage infrastructures interact with landscape patterns in shaping stormwater regulation performance. The results showed that runoff exhibited significant spatial clustering, with clear high–high and low–low agglomeration patterns, and was primarily controlled by impervious surfaces, followed by bare land, vegetation, and water bodies. Stormwater regulation services declined over time, while their spatial heterogeneity became more pronounced. In addition, landscape pattern indices had nonlinear and land-use-specific effects on stormwater regulation services, revealing both positive and negative relationships depending on the type and configuration of the underlying surface. The study further identified quantitative associations between multidimensional runoff control indicators and stormwater regulation services, highlighting the importance of spatial optimization of urban land systems. The findings provide transferable evidence for optimizing blue–green–gray infrastructure and improving hydrological resilience in rapidly urbanizing cities.