Testing the Drought and Heat Risk (DHR) Assessment Framework for Urban Green Infrastructure: Risk analysis geodata indicators

Risk analysis indicators The following data set presents vulnerability and normalized risk indicators for the drought and heat risk assessment for urban green infrastructure and their ecosystem services as part of a doctoral dissertation. The data sources are provided by Shehayeb (2025). The georeference used is ETRS89 / UTM zone 33N (EPSG: 25832). The following indicators are ENVI-met outputs: Air temperature, Tv-Ta, UTCI (see R script), CO2 flux (Net CO2 Assimilation), and shaded area. With these indicators, both, drought and heat hazards were included. For indicators: Water protection zone, air quality correlation, soil texture, shaded area, access to water, and access to space: Risk = Avg (Σ Vulnerability*Hazard) a. Shaded area: only the heat hazard considered b. Water protection zone: only drought hazard considered c. Rest: drought and heat considered For normalizing indicators, the following formula is used: NewValue = (((OldValue - OldMin) * (NewMax - NewMin)) / (OldMax - OldMin)) + NewMin Data sources and overview Shehayeb, R. (2025). Testing the Drought and Heat Risk (DHR) Assessment Framework for Urban Green Infrastructure: Overview and Data Sources. Zenodo. https://doi.org/10.5281/zenodo.15526315风险分析指标 本数据集涵盖了用于城市绿色基础设施及其生态服务的干旱与热风险评估的脆弱性指标与归一化风险指标，为本篇博士学位论文的研究内容之一。数据由Shehayeb（2025）提供，采用的地理参考坐标系为ETRS89 / UTM 33N带（EPSG: 25832）。以下指标均为ENVI-met的输出结果：气温、Tv-Ta、通用热气候指数（Universal Thermal Climate Index，UTCI），详见R脚本、CO₂通量（净CO₂同化量）以及阴影面积。借助上述指标，可同时覆盖干旱与热两类灾害风险。 针对以下指标：水源保护区、空气质量相关性、土壤质地、阴影面积、取水可达性及空间可达性，风险值计算公式为：风险值 = 平均值（Σ 脆弱性 × 灾害危险性） a. 阴影面积：仅考虑热灾害危险性 b. 水源保护区：仅考虑干旱灾害危险性 c. 其余指标：同时覆盖干旱与热灾害危险性 指标归一化处理采用如下公式：新值 = (((旧值 - 旧最小值) × (新最大值 - 新最小值)) ÷ (旧最大值 - 旧最小值)) + 新最小值 数据来源与概述 Shehayeb, R. (2025). 城市绿色基础设施干旱与热风险（Drought and Heat Risk, DHR）评估框架测试：概述与数据来源. Zenodo. https://doi.org/10.5281/zenodo.15526315