PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2026Buildings1 citationsOpen Access

Urban Riparian Green Corridors as Climate-Adaptive Infrastructure: Quantifying Ecological Thresholds for Cooling Performance and Sustainable Management

MLMeijun LuHFH FANLYLu Yuan

Key Points

  • This research aims to quantify the cooling performance of urban riparian corridors and identify key landscape drivers that impact their effectiveness.
  • Analyzed 27 urban riparian green spaces in Zhengzhou, China.
  • Utilized a Boosted Regression Tree (BRT) model to evaluate landscape factors influencing cooling performance.
  • Measured factors like Canopy Density, Green Cover Ratio, and corridor morphology as predictors.
  • Assessed nonlinear relationships and ecological thresholds for optimal thermal regulation.
  • Urban riparian corridors achieved an average cooling intensity of 5.43 °C over a distance of 215.56 m.
  • Canopy Density, 3D Green Volume per Unit Area, and Green Cover Ratio accounted for over 86% of cooling performance.
  • Identified key ecological thresholds, such as stable cooling efficacy at a Green Cover Ratio of ~77% and Canopy Density of 0.7.

Abstract

In the context of global climate change and rapid urbanization, integrating urban blue-green infrastructure into the built environment is essential for mitigating the urban heat island effect and enhancing climate resilience. Focusing on urban riparian corridors as vital natural cooling systems, this study aims to: (1) quantify their cooling performance in terms of intensity and distance; (2) identify the key landscape drivers and their relative importance; (3) uncover nonlinear relationships and determine ecological thresholds for optimal thermal regulation; and (4) translate these findings into science-based guidelines for climate-adaptive design and sustainable management. Taking 27 representative riparian green spaces in Zhengzhou, China (average area: 17,539 m2, range: 10,027–42,690 m2) as a case study, nine key factors characterizing vegetation structure and composition, corridor morphology, and blue-green spatial pattern were used as predictors in a Boosted Regression Tree (BRT) model to analyze their contributions and marginal-effect thresholds. Results show that these corridors provide substantial cooling, with an average intensity of 5.43 °C extending over 215.56 m. Canopy Density, 3D Green Volume per Unit Area, and Green Cover Ratio emerged as the three core drivers, jointly explaining >86% of the cooling performance. The key innovation lies in identifying explicit, design-oriented ecological thresholds—for example, cooling efficacy stabilizes when Green Cover Ratio reaches ~77%, Canopy Density attains 0.7, and the Blue-Green Space Width Ratio approaches 1:1. These thresholds can be directly translated into performance benchmarks for sustainable urban planning and landscape engineering, providing evidence-based parameters for optimizing vegetation structure and spatial configuration. This study demonstrates that applying quantified ecological thresholds can transform riparian corridors into efficient climate-resilient infrastructure, thereby synergistically improving thermal comfort, enhancing ecosystem services, and promoting sustainable land use in urban environments.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lu et al. (2026) studied this question.

synapsesocial.com/papers/698828330fc35cd7a8847814https://doi.org/10.3390/buildings16030660
Ask AI
Helpful
Bookmark
Share
View Full Paper