Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106009 - 106009
Опубликована: Ноя. 28, 2024
Язык: Английский
Процитировано
1Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106099 - 106099
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1Building and Environment, Год журнала: 2023, Номер 248, С. 111054 - 111054
Опубликована: Ноя. 24, 2023
Microclimate simulations are in high demand to assess the thermal impacts of urban design and vegetation changes. Modeling accurate microclimate dynamics complex settings requires extensive computing power. A hybrid Python approach is introduced simulate human exposure (mean radiant temperature, MRT) comfort (Universal Thermal Climate Index, UTCI) cities. The proposed model combines various engines Rhinoceros account for interactions between surfaces, tree canopies, atmosphere. was validated hot, dry Tempe, USA, using in-situ human-biometeorological observations then applied archetypes Bologna Imola, Italy. MRT UTCI were simulated at five sites Bologna, four with varying building heights canopy cover climatologically hottest week year (August 3–9). performed well an RMSE 5.4 °C, index agreement 0.96, outperformed existing models tree-shaded sites. driven mainly by shade from dense forms trees. Highrise, medium-to-high coolest concerning comfort. Sites Tempe exceeded categories Very Strong or Extreme Heat Stress independent archetype. enables fast assessment planting strategies.
Язык: Английский
Процитировано
1Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Апрель 29, 2024
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0