Potential tree planting locations for Austin, Texas to reduce heat stress

This is a companion dataset for the Universal Thermal Climate Index (UTCI) over Austin, Texas [ https://doi.org/10.5281/zenodo.10870068 ] 1. Dataset description This dataset uses the Mean Radiant Temperature (TMRT) calculated using the the SOLWEIG model (Lindberg et al., 2018) to optimize tree planting locations in Austin, Texas using the tree planter tool (Wallenberg et al., 2022). Only the public space was used in optimization and 250 trees were optimally located within 1-mile buffer zones. Followin the City of Austin guidelines, the height and crown diameters of the optimized trees were both ~6 meters and tree trunk zone height was ~2 meters above ground. The trees were optimized for a typical clear-sky weather during Fall season. 2. Data availiablity Data is available for entire Austin, Texas except a few neighborhoods. 3. Data format The data is available in ESRI shapefile (.shp). Each point represents a potential tree planting location. References Lindberg, F., Holmer, B., & Thorsson, S. (2008). SOLWEIG 1.0–Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. International journal of biometeorology, 52, 697-713. Wallenberg, N., Lindberg, F., & Rayner, D. (2022). Locating trees to mitigate outdoor radiant load of humans in urban areas using a metaheuristic hill-climbing algorithm–introducing TreePlanter v1. 0. Geoscientific Model Development, 15(3), 1107-1128.

本数据集为美国德克萨斯州奥斯汀市通用热气候指数（Universal Thermal Climate Index，UTCI）的配套数据集[DOI: 10.5281/zenodo.10870068]。

1. 数据集描述
本数据集采用基于SOLWEIG模型（Lindberg等，2018）计算得到的平均辐射温度（Mean Radiant Temperature，TMRT），结合植树工具（Wallenberg等，2022）对德克萨斯州奥斯汀市的植树点位进行优化。本次优化仅针对公共空间展开，最终在1英里缓冲区内优选出250个植树点位。遵循奥斯汀市相关规范，优选树木的树高与冠幅均约为6米，树干区高度为距地面约2米。本次树木优化以秋季典型晴天天气为背景条件。

2. 数据可用性
德克萨斯州奥斯汀市全域均可获取本数据集，仅少数街区除外。

3. 数据格式
本数据集以ESRI形状文件（.shp）格式提供，每个点位均代表一处潜在植树位置。

参考文献
[1] Lindberg F, Holmer B, Thorsson S. SOLWEIG 1.0——复杂城市环境中三维辐射通量与平均辐射温度的空间变化模拟[J]. 国际生物气象学杂志, 2008, 52: 697-713.
[2] Wallenberg N, Lindberg F, Rayner D. 基于元启发式爬山算法优化城市区域户外人体辐射负荷的植树点位选择——TreePlanter v1.0工具介绍[J]. 地球科学模型开发, 2022, 15(3): 1107-1128.