Spatial set-up of Anjelierstraat neighborhood in ENVI-met for the Master thesis: Green roofs cooling performance in heat-stress prone neighborhoods under future climate projections.

Master thesis title: <em style="background-color:rgb(255, 250, 234);">Green roofs cooling performance in heat-stress prone neighborhoods under future climate projections</em>Supervisor:<em> </em>Lixia Chu (Urban Systems Engineering)Co-supervisor: Gert-Jan Steeneveld(Meteorology and Air Quality)<br>This research aims to understand the effect of green roofs on outdoor human thermal comfort and their cooling performance under future climate projections in Amsterdam's heat-stress-prone neighborhoods. The analysis uses the 3D-microscale ENVI-met software (V5.7) which helps to quantify the thermal benefits of implementing green roofs.The spatial setup was created using the Geodata to ENVI-met plugin in QGIS. The following documents contain two different spatial setups for the Anjelierstraat neighborhood: one with green roofs and one without. This neighborhood was selected due to its high heat stress, roof characteristics, and proximity to a weather station. Detailed information about the data sources and model setup can be found in the README document.

硕士学位论文题目：未来气候情景下热应激高发街区的绿色屋顶降温性能
指导教师：储丽霞（城市系统工程专业）
联合指导教师：Gert-Jan Steeneveld（气象与空气质量专业）
本研究旨在探究阿姆斯特丹热应激高发街区中，绿色屋顶对室外人体热舒适的影响，以及未来气候情景下绿色屋顶的降温性能。本次分析采用3D微尺度ENVI-met（V5.7）模拟软件，该软件可量化铺设绿色屋顶所带来的热效益。空间场景搭建通过QGIS中的Geodata to ENVI-met插件完成。
本数据集包含安赫利尔斯特拉特（Anjelierstraat）街区的两种不同空间场景：一种铺设绿色屋顶，另一种未铺设绿色屋顶。该街区因热应激风险高、屋顶特征典型且临近气象站而被选为研究区域。
关于数据源与模型搭建的详细信息，请参阅README文档。