首页|湿热气候下城市居民热环境风险评估及优化——以深圳市为例

湿热气候下城市居民热环境风险评估及优化——以深圳市为例

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随着全球气候变暖的加剧,城市面临着越来越频繁和持续的热风险.以深圳市为例,基于Landsat8 OLI/TIRS遥感影像和社会经济数据,使用空间自相关分析、Z-score标准化法和优先级指数,分析了热环境调节服务综合供需空间特征,进行城市干预的降温服务优先级划分.结果表明:1)深圳市的热环境调节服务需求水平呈"西高东低"的空间格局,高需求区主要分布在以居住区和中央商务区为主的街道;2)深圳市热环境调节服务能力的需求水平与其供给水平在空间集聚分布上呈负相关,蓝绿空间规划具有重要的降温效果;3)热环境调节服务的供需匹配中低供-高需状态的街道数量最多,主要分布于中部和西部,区域内的建筑及人口密度均较高,蓝绿空间供给不足;4)高优先级干预街道即高温脆弱性、敏感性较高的街道主要集中在中心城区以及周边片区.研究可为深圳及类似城市的规划和应急管理提供预案制定的参考依据,明晰生态用地与热环境之间的空间特征,从而有效应对未来热风险带来的挑战.
Thermal Environment Risk Assessment and Optimization of Urban Residents in Hot and Humid Climate:A Case Study Based on Shenzhen City
The urban heat island effect is intensifying in response to rapid urbanization,which has caused substantial impacts on the health,stability,and sustainability of cities.Therefore,how to accurately recognize key regions of high-temperature supply-demand imbalance in urban streets and conduct high-temperature relief in cities is an urgent topic that current society must solve.A case study based on Shenzhen was carried out.First,indicators were chosen from three influencing factors—risks,exposure,and vulnerability—based on the supply and demand of ecosystem services.Then,the demand for thermal environmental regulation services was calculated using the analytic hierarchy process and entropy value method to characterize the demand level of thermal environmental regulation services in urban streets and make spatial autocorrelation analysis.Second,the thermal environmental regulation service supply was calculated from the cold island effect provided by the blue-green spaces to characterize the supply capacity of thermal environmental regulation services in urban streets and make spatial autocorrelation analysis.Finally,quadrant division and spatial matching were applied to the comprehensive supply-demand indicators gained through Z-score normalization.Later,the priority order of planning intervention was gained through the priority index.Results show that 1)there is a significant spatial heterogeneity in the demand level of thermal environment regulation services in Shenzhen,with an overall spatial distribution pattern of"high in the west and low in the east."High-demand areas are predominantly located in subdistricts primarily characterized by residential zones and central business districts.2)The demand level of heat environment regulation services in Shenzhen exhibits an overall spatial distribution pattern of"low in the west and high in the east".There is an inverse relationship between local spatial clustering and demand levels,indicating that blue-green space planning plays a significant role in cooling effects.3)In Shenzhen,32 subdistricts face supply shortages in the low supply-high demand state in thermal environment regulation services.These subdistricts are primarily residential and commercial areas with high population and building densities and insufficient blue-green space provision.In contrast,27 subdistricts are in the high supply-low demand state.These subdistricts are adjacent to large natural parks,forests,and mountainous areas,with abundant green space and water resources.They provide significant thermal environment regulation capacity for Shenzhen and should be prioritized for protection.4)The study area is classified into five different intervention priority levels according to the priority index.Among them,seven subdistricts are identified as high-priority areas,predominantly concentrated in the central urban area and its surrounding districts.Generally speaking,key areas of supply-demand imbalance are identified through the overall planning of the supply-demand relationships.Moreover,the priority index can more clearly determine the priority of urban heat regulation to make specific planning strategies.This guarantees the scientific distribution of limited ecological resources and service functions to first meet the needs of groups and regions.This study cannot only provide references to make plans and emergency management pre-arranged plans for Shenzhen and similar cities but also disclose spatial features between ecological land use and thermal environment,thus enabling the coping with challenges brought by thermal risks in the future.

thermal environmentecosystem servicessupply-demand relationshippriority division

李明倩、王春晓

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深圳大学建筑与城市规划学院

深圳大学建筑与城市规划学院、亚热带建筑与城市科学全国重点实验室

热环境 生态系统服务 供需关系 优先级划分

广东省基础与应用基础研究基金深圳市高等院校稳定支持计划

2023A151511085620220809195202001

2024

南方建筑
华南理工大学建筑学院 广东省土木建筑学会

南方建筑

CSTPCDCHSSCD北大核心
影响因子:0.684
ISSN:1000-0232
年,卷(期):2024.(10)