TY - DATA
T1 - 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. 
PY - 2025/01/20
AU - Carla Andrea Vega Castillo
UR - 
DO - 10.4121/5264d9a9-2e16-4de1-bf26-f78492116b29.v1
KW - urban temperature
KW - Amsterdam
KW - urban heat
KW - green roofs
KW - heat-stress
N2 - <p class="ql-align-justify"><span style="background-color: rgb(255, 250, 234);">Master thesis title: </span><em style="background-color: rgb(255, 250, 234);">Green roofs cooling performance in heat-stress prone neighborhoods under future climate projections</em></p><p class="ql-align-justify">Supervisor:<em> </em>Lixia Chu (Urban Systems Engineering)</p><p class="ql-align-justify"><span style="color: rgb(38, 38, 38);">Co-supervisor: Gert-Jan Steeneveld(</span>Meteorology and Air Quality)</p><p class="ql-align-justify"><br></p><p class="ql-align-justify">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.</p><p class="ql-align-justify">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.</p>
ER -