Thermal Regulation of Coastal Urban Forest Based on ENVI-Met Model—A Case Study in Qinhuangdao, China

Lai, Yue; Ning, Qiwen; Ge, Xiaoyu; Fan, Shanshan

doi:10.3390/su14127337

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…In a study conducted in a park in the city of Qinhuangdao in China, it was found that scenarios prepared compared to the current situation improved the thermal comfort of the environment. According to the ENVI-met analysis conducted in this study, the temperature, relative humidity, and wind speed were 31.1°C, 49.70%, and 2.3 m/s, respectively, in the current situation, while in the scenario analysis, these values were improved to 29.7°C, 51.64%, and 1.0 m/s, respectively (Lai et al, 2022). In the winter scenario, it has been determined that the change in wind speed increases by an average of 0.4% in the water scenario.…”

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confidence: 68%

“…Analysis of ENVI-met Proposed Scenarios: Different landscape design scenarios were analyzed to provide outdoor thermal comfort in all seasons for urban residents to spend time in outdoor spaces. Studies in this field have shown that when landscape designs are created in harmony with the natural structure of the area, thermal comfort in the space can be improved (Jamei and Rajagopalan, 2017;Morakinyo et al, 2019;Yucekaya and Uslu, 2020;Lai et al, 2022;Okumuş and Terzi, 2022;Yu et al, 2023). It has been determined that the right decisions regarding land use can be taken with the right planning (Şatır and Berberoğlu, 2021).…”

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confidence: 99%

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ENVI-met Simulations of the Effect of Different Landscape Design Scenarios on Pedestrian Thermal Comfort: Haydar Aliyev Street

YILMAZ,

KURT,

GÖLCÜ

2023

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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In the city of Erzurum, located in a cold climate region, it is important for pedestrian walkways and parks to be usable all year round. Haydar Aliyev Street, located on the city's new development axis, serves as both a pedestrian route and a park. Meteorological data was collected hourly throughout 2021 using a Vantage Pro 2 Plus device installed at a height of 1.5 m in the study area. The scenarios were analyzed using the ENVI-met BIO+ Science Software, with August (summer) and January (winter) identified as the hottest and coldest months, respectively. Sky View Factor (SVF) analysis was conducted using fisheye lens photos taken from different points in the area. Four different landscape design scenarios were created for the study area, consisting of plants, water surfaces, soil, and grass. It was found that the temperature decreased by an average of 0.2°C in the summer scenario when the number of plants was increased by 20%. Furthermore, it was determined that the deciduous tree scenario provided better thermal comfort compared to the treeless soil scenario for a pedestrian-friendly park during the winter months. The inactive water scenario for summer and winter was found to increase wind speed by a maximum of 1.3 m s-1. The study concluded that different landscape design scenarios had an impact on outdoor thermal comfort and that further research was needed in this area. Such studies highlight the need for multidisciplinary teamwork to create healthy, sustainable, and livable urban environments in designing thermal-comfortable spaces.

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confidence: 68%

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confidence: 99%

ENVI-met Simulations of the Effect of Different Landscape Design Scenarios on Pedestrian Thermal Comfort: Haydar Aliyev Street

YILMAZ,

KURT,

GÖLCÜ

2023

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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“…Data were re-corded thrice to ensure accuracy. The handheld weather station Kestrel 5500 was used to collect meteorological data in real time, as it is widely used and renowned for its reliability [13,16]. Before each observation, the equipment was calibrated, and the observation height above the ground was maintained at 1.5 m. During observations, instruments were shielded from direct sunlight.…”

Section: Measurement Spots and Meteorological Data Collectionmentioning

confidence: 99%

“…Microclimate refers to the climatic variations between different areas or small-scale regions within a city, including temperature, humidity, wind speed, and sunlight. Various factors, including building morphology, street layout, greenery, and water features, influence microclimates in urban environments [13]. Regarding building morphology, Gukhwa Jang et al [14] investigated the impact of varying building heights on microclimates using a high-density riverside residential area in Seoul, South Korea as an example.…”

Section: Introductionmentioning

confidence: 99%

Study on Microclimate and Thermal Comfort in Small Urban Green Spaces in Tokyo, Japan—A Case Study of Chuo Ward

Sun,

Zhang,

Yang

et al. 2023

Sustainability

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Small urban green spaces are abundant in densely populated urban areas, but little is known about their impact on the urban heat island effect and thermal comfort. Therefore, this study selected as research sites four small urban green spaces in a typical high-density built-up area, Chuo Ward in Tokyo, Japan. The ENVI-met software 5.1.1 simulation method was used to analyze these sites’ microclimate and thermal comfort conditions. The following are the results: (1) Small urban green spaces significantly reduce urban air temperatures, particularly during hot weather, with temperature reductions ranging from 2.40 °C to 2.67 °C, consistently lower than the highest temperatures in Tokyo’s Chuo Ward, mainly between 1:00 and 2:00 p.m. (2) Thermal comfort analysis indicates that small urban green spaces can significantly improve urban thermal comfort during the day, particularly around noon, by reducing one or two thermal comfort levels compared to typical urban street blocks. However, these differences gradually diminish throughout the evening and night, and thermal comfort inside and outside green spaces becomes more uniform. (3) Green space size is not the only factor influencing thermal comfort; the layout of plants within the green space and the layout of the surrounding buildings also have an impact. Despite their small size, even small green spaces can significantly enhance comfort. This study highlights the need to promote urban sustainability through the extensive integration of small green spaces in dense urban environments. Small green spaces can serve as a high-frequency, low-cost solution for environmental sustainability by addressing the increasingly severe urban heat island effect as well as environmental challenges that in the urbanization process.

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“…In this study, ENVI-met 4.4.5 was used for the simulation. ENVI-met is an urban microclimate simulation software developed by Bruse and Fleer, in 1998, based on the theory of hydrodynamics and thermodynamics, which can simulate different spatial microclimates and realize dynamic coupling analysis by considering the spatial layout, surface materials, water bodies, vegetation cover, and other factors in a comprehensive manner [61][62][63].…”

Section: Feasibility Verification Of Envi-met Softwarementioning

confidence: 99%

Study on the Green Space Patterns and Microclimate Simulation in Typical Urban Blocks in Central China

2022

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This study attempted to classify blocks in the second ring road of Changsha, a central city of urban agglomeration in central China, according to their green space patterns, and to explore the influence of green spaces in different blocks on the surrounding microclimate. Researchers divided the blocks into five types: green space enclosed by buildings type, green space parallel with buildings type, green space centralized in buildings type, green space interspersed in the block type, and green space dispersed in the block type. Thermal comfort conditions in the different blocks were studied by ENVI-met simulations and using the thermal comfort indicators physiological equivalent temperature (PET), predicted mean vote (PMV), and standard effective temperature (SET). Because the green space was more evenly distributed in the block of green space parallel type and green space interspersed type, the overall fluctuation of the thermal comfort value of all areas of the whole block was small, with more areas having a value close to the median value of the thermal comfort value of the block. In the green enclosed blocks, thermal comfort was better within the green space in the area enclosed in the middle when the surrounding buildings were lower. The green areas in the green space enclosure type significantly improved the thermal comfort around the buildings, and the thermal comfort in the areas decreased rapidly as the distance between the green areas and the buildings increased. The green space dispersion type was found more in older blocks that were not well planned and had poor thermal comfort in the areas. On the premise that the green space area in the different high-rise blocks was equal, if only the thermal comfort of the green space coverage area was considered, in the summer, the green space parallel type was the best (|ΔPET| = 7.96, |ΔPMV| = 1.22). In the winter, the green space centralized type was the best (|ΔPET| = 11.26, |ΔSET| = 10.88). On the premise of equal green space area in the different multilayer blocks, if only the thermal comfort of green space coverage area was considered, in the summer, the green space parallel type was the best (|ΔPET| = 8.89, |ΔPMV| = 1.49). In the winter, the green space centralized type (|ΔPET| = 11.04, |ΔSET| = 10.64) was the best. This shows that different greening patterns have different advantages and disadvantages in different seasons and different situations.

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Thermal Regulation of Coastal Urban Forest Based on ENVI-Met Model—A Case Study in Qinhuangdao, China

Cited by 10 publications

References 15 publications

ENVI-met Simulations of the Effect of Different Landscape Design Scenarios on Pedestrian Thermal Comfort: Haydar Aliyev Street

ENVI-met Simulations of the Effect of Different Landscape Design Scenarios on Pedestrian Thermal Comfort: Haydar Aliyev Street

Study on Microclimate and Thermal Comfort in Small Urban Green Spaces in Tokyo, Japan—A Case Study of Chuo Ward

Study on the Green Space Patterns and Microclimate Simulation in Typical Urban Blocks in Central China

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