A review on outdoor urban environment modelling DOI Open Access

Naila,

Enrico Prataviera, Michele De Carli

и другие.

Journal of Physics Conference Series, Год журнала: 2024, Номер 2893(1), С. 012024 - 012024

Опубликована: Ноя. 1, 2024

Abstract Outdoor environment modelling is crucial for multiple facets of a sustainable urban development, such as mitigating the detrimental environmental impacts (i.e. greenhouse gas emissions), proposing energy-efficient building designs, optimizing usage green resources, and improving overall comfort level residents. This paper presents comprehensive review techniques models related to various aspects an outdoor modelling, including microclimate dynamics solar radiation wind-flow air-temperature assessment simulations, urban-canyons heat island effects green-infrastructure planning. Each section covers compares traditionally used methods in field with newer artificial intelligence (AI) based models, aiming explore their relevant efficiencies areas improvement. For instance, microclimate’s traditional like radiative transfer are evolving machine-learning high-resolution remote sensing methodologies community-based participatory models. Similarly, encompasses CFD, wind-tunnel modified by machine learning (ML) data-driven methodologies. Moreover, also discusses (UHI) phenomenon Overall, aims provide state art on cutting-edge all necessary help informed decision-making environments.

Язык: Английский

Evaluation of the influence of traditional village square layout factors on wind comfort DOI

Zefa Wang,

Min Wang, Tiantian Huang

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112160 - 112160

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Fast Fluid Dynamics Simulations of the Drag Effect of Trees on Airflow Distributions DOI
Ruibin Li, Yi Zhao, Liangzhu Wang

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 113039 - 113039

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Predicting the influence of trees on wind environment in pedestrian-level through numerical simulation DOI
F. Lei,

Hongzuo Jia,

Yanchun Zhou

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 20, 2024

Abstract Wind environment is closely related to people's lives and has a great influence on the comfort safety of environment. This research examines trees wind in pedestrian-level. By integrating theories CFD simulation method benefits, six canopy morphologies (Spheroid, Cone, Inverted Cylinder, Ellipsoid, Cuboid) models are proposed validated. The PHOENICS used for numerical (144 scenarios), data analyzed using Photoshop linear regression model. It found that linearly correlated with varying crown width, trunk height plant spacing. tree velocity can be expressed by IFwind (the reducing ability) AZ area downwind deceleration zones). framework this paper intended support guide future studies pedestrian-level, contribute improved environmental quality urban areas through reasonable planting.

Язык: Английский

Процитировано

0

Airflow Modeling for Citrus under Protective Screens DOI Creative Commons

Liubov Kurafeeva,

Rich Wolski, Chandra Krintz

и другие.

Sensors, Год журнала: 2024, Номер 24(19), С. 6200 - 6200

Опубликована: Сен. 25, 2024

This study explores the development and validation of an airflow model to support climate prediction for Citrus Under Protective Screens (CUPS) in California. CUPS is a permeable screen structure designed protect field citrus trees from large insects including vector that causes devastating greening disease. Because structures modify environmental conditions (e.g., temperature, relative humidity, airflow), farm management treatment strategies pesticide spraying events) must be modified account these differences. Toward this end, we develop predicting wind speed direction commercial-scale research CUPS, using computational fluid dynamics (CFD) model. We describe validate it two ways. In first, small-scale replica under controlled compare modeled measured around structure. second, full-scale use historical measurements “back test” model’s accuracy. both settings, values fall within statistical confidence intervals generated corresponding being modeled. These findings suggest can aid decision smart agriculture solutions farmers as they adapt their practices structures.

Язык: Английский

Процитировано

0

A review on outdoor urban environment modelling DOI Open Access

Naila,

Enrico Prataviera, Michele De Carli

и другие.

Journal of Physics Conference Series, Год журнала: 2024, Номер 2893(1), С. 012024 - 012024

Опубликована: Ноя. 1, 2024

Abstract Outdoor environment modelling is crucial for multiple facets of a sustainable urban development, such as mitigating the detrimental environmental impacts (i.e. greenhouse gas emissions), proposing energy-efficient building designs, optimizing usage green resources, and improving overall comfort level residents. This paper presents comprehensive review techniques models related to various aspects an outdoor modelling, including microclimate dynamics solar radiation wind-flow air-temperature assessment simulations, urban-canyons heat island effects green-infrastructure planning. Each section covers compares traditionally used methods in field with newer artificial intelligence (AI) based models, aiming explore their relevant efficiencies areas improvement. For instance, microclimate’s traditional like radiative transfer are evolving machine-learning high-resolution remote sensing methodologies community-based participatory models. Similarly, encompasses CFD, wind-tunnel modified by machine learning (ML) data-driven methodologies. Moreover, also discusses (UHI) phenomenon Overall, aims provide state art on cutting-edge all necessary help informed decision-making environments.

Язык: Английский

Процитировано

0