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绘制城市绿地降温效益与人口热脆弱性之间差距的地图。

Mapping the gaps between cooling benefits of urban greenspace and population heat vulnerability.

机构信息

Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA.

Department of Earth and Environment, Boston University, Boston, MA 02215, USA.

出版信息

Sci Total Environ. 2022 Nov 1;845:157283. doi: 10.1016/j.scitotenv.2022.157283. Epub 2022 Jul 9.

Abstract

We provide a novel method to assess the heat mitigation impacts of greenspace though studying the mechanisms of ecosystems responsible for benefits and connecting them to heat exposure metrics. We demonstrate how the ecosystem services framework can be integrated into current practices of environmental health research using supply/demand state-of-the-art methods of ecological modeling of urban greenspace. We compared the supply of cooling ecosystem services in Boston measured through an indicator of high resolution evapotranspiration modeling, with the demand for benefits from cooling measured as a heat exposure risk score based on exposure, hazard and population characteristics. The resulting evapotranspiration indicator follows a pattern similar to conventional greenspace indicators based on vegetation abundance, except in warmer areas such as those with higher levels of impervious surface. We identified demand-supply mismatch areas across the city of Boston, some coinciding with affordable housing complexes and long term care facilities. This novel ES-framework provides cross-disciplinary methods to prioritize urban areas where greenspace interventions can have the most impact based on heat-related demand.

摘要

我们提供了一种新的方法来评估绿地的缓解热影响,通过研究负责效益的生态系统机制,并将其与热暴露指标联系起来。我们展示了如何通过使用城市绿地生态系统的供需最先进的生态建模方法来将生态系统服务框架整合到当前的环境健康研究实践中。我们通过高分辨率蒸散建模指标来比较波士顿的冷却生态系统服务的供应,并用基于暴露、危害和人口特征的热暴露风险评分来衡量对冷却效益的需求。结果表明,蒸散指标与基于植被丰度的传统绿地指标模式相似,除了在温度较高的地区,如那些具有更高不透水表面的地区。我们确定了波士顿全市的供需不匹配区域,其中一些区域与经济适用房和长期护理设施重合。这种新颖的 ES 框架提供了跨学科的方法,可根据与热相关的需求,为绿地干预措施最能产生影响的城市区域确定优先级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e17/11767550/e7b49ac15736/nihms-2045406-f0001.jpg

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