Analysis of the relationships between environmental noise and urban morphology

Han, Xiao-Jing; Huang, Xin; Liang, Hong; Ma, Song; Gong, Jianya

doi:10.1016/j.envpol.2017.10.126

Cited by 74 publications

(48 citation statements)

References 65 publications

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“…In cities, it has been proven that places where porosity and green space coverage are more developed, the rate of NP is also lower (Han, et al, 2018;Margaritis & Kang, 2017). In addition, soils with higher vegetation are also generally more permeable, and soils with high permeability have more acoustic absorption potential (Han, et al, 2018). The present study showed that a large part of the north, west, and southwest regions have vegetation over 8717 m 2 /10000 m 2 .…”

Section: Periodsupporting

confidence: 50%

“…In Idle lands, high levels of sound are expected due to construction and demolition as well as the high activities of construction vehicles. On the other hand, in these areas, common urban traffic and buildings density are low, which can also reduce the NP in these areas; Han et al showed a direct relationship between buildings density and NP (Han, Huang, Liang, Ma, & Gong, 2018). Since no study has been done on the relationship between the density of this type of ULU and NP, in the present study, the effect of this density on NP was investigated.…”

Section: Periodmentioning

confidence: 87%

“…Green land is another ULU that can effectively affect the NP of urban areas. In cities, it has been proven that places where porosity and green space coverage are more developed, the rate of NP is also lower (Han, et al, 2018;Margaritis & Kang, 2017). In addition, soils with higher vegetation are also generally more permeable, and soils with high permeability have more acoustic absorption potential (Han, et al, 2018).…”

Section: Periodmentioning

confidence: 99%

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Urban land use effect analysis on the level of noise pollution using satellite and GIS technologies: A case study in Tehran city

2020

Global NEST Journal

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<p>We utilized satellite and GIS technologies to address the relationship between urban land uses and Noise Pollution (NP) in one of the most crowded regions of Tehran city. Leq was determined in 170 stations of the studied area and an acoustic map was created. Moreover, using satellite remote sensing data and a land use map, the density map for nine types of the most important urban land use was provided and the relationship between different land use densities and NP was investigated. We found that the investigated region was highly polluted and the NP level was higher in the morning (76.29±5.61 dB[A]) and afternoon (76.46±4.88 dB[A]) in comparison to the noon period. Furthermore, the prepared acoustic map revealed that in the east and southwest of the studied area, the NP was highest and lowest, respectively. Also, cultural (73.48±4.7 dB[A]) and parking (79.02±4.3 dB[A]) areas had the lowest and highest levels of Leq. Also, the high density of road, commercial, industrial, mixed commercial and residential and parking land uses had a direct significant relationship with Leq and this relation was inverse for green space. It was concluded that land use variations significantly affect the NP levels and it can be utilized to predict and manage the NP in different cities.</p>

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Section: Periodsupporting

confidence: 50%

Section: Periodmentioning

confidence: 87%

Section: Periodmentioning

confidence: 99%

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Urban land use effect analysis on the level of noise pollution using satellite and GIS technologies: A case study in Tehran city

2020

Global NEST Journal

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“…The climate is dominated by the southern subtropical ocean monsoon. The precipitation period is from April to September and vegetation is largely represented by secondary forests and plantations of southern subtropical evergreen broadleaf forests, with the most common plants including Acacia mangium and those of the Eucalypteae tribe [28].…”

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Ozone Level Variation in Urban Forests in Shenzhen, China

Duan

Wang

Pei

et al. 2019

Forests

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This study is among the first to investigate ozone levels in urban forests in China. It establishes that urban forest air quality in Yuanshan Forest Park (Shenzhen) is suitable for recreational activities and identifies spatial, seasonal, and diurnal O3 patterns and relationships with micrometeorological parameters, suggesting the possibility of manipulating relevant forest characteristics to reduce Surface ozone (O3) levels. An understanding of O3 levels of urban forest environments is needed to assess potential effects on human health and recreational activities. Such studies in China are scarce. This study investigated urban forest O3 levels to improve understanding and support residents engaging in forest recreational activities. We monitored O3 levels in 2015–2016 for three urban forests representing common habitats (foothill, valley, and ridge) in Yuanshan Forest Park and for an adjacent square. The overall mean daily and daily maximum 8 h mean (MDA8) O3 concentrations were highest for the ridge forest and lowest for the valley forest. Each forest’s O3 concentrations were highest in summer. Diurnally, forest O3 concentrations peaked between 13:00 and 17:00 and reached a minimum between 03:00 and 09:00. The correlation between forest O3 concentrations and air temperature (AT) was strongly positive in summer and autumn but negative in spring. In each season, O3 concentration was negatively correlated with relative humidity (RH). No MDA8 or hourly O3 concentrations in the forests exceeded National Ambient Air Quality Standard Grade I thresholds (100 and 160 μg m−3, respectively). O3 accumulation is present in ridge urban forest in all seasons. Foothill and valley urban forests have better air quality than ridge forestation. Urban forest air quality is better in spring and autumn than in summer and is better from night-time to early morning than from noon to afternoon.

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“…Kang, Song et al proposed that subjective and objective evaluations of acoustic environments were different in different seasons [18,30]. Some related studies explored the seasonal effect of the temperature difference on soundscape [31][32][33][34][35]. In terms of functional factors, many previous studies indicated that soundscape assessments were influenced by the functions of places, including commercial, residential, business, and recreational places.…”

Section: Introductionmentioning

confidence: 99%

Influence of Contextual Factors on Soundscape in Urban Open Spaces

et al. 2018

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The acoustic environment in urban open spaces has played a key role for users. This study analyzed the different effects of contextual factors, including shop openness, season, and commercial function, on the soundscape in two typical commercial pedestrian streets. The following observations were based on a series of measurements, including crowd measurements, acoustic environment measurements, and a questionnaire survey. First, the number of talkers in Central Avenue was greater than the number of talkers in Kuan Alley in cases with the same crowd density, while there was no significant difference in the sound pressure level. When the crowd density increased, acoustic comfort trended downward in Kuan Alley, while the value of acoustic comfort in Central Avenue took a parabolic shape. Second, there was no significant difference between the number of talkers in summer and the number of talkers in winter; however, when crowd density increased by 0.1 persons/m2, the level of sound pressure increased by 1.3 dBA in winter and 2.2 dBA in summer. Acoustic comfort took a parabolic shape that first increased and then decreased in both winter and summer. Regarding commercial function, as the crowd density increased, the number of talkers and the level of sound pressure both increased, while acoustic comfort decreased in three zones with different commercial functions. In addition, a cross-tab analysis was used to discuss the relationship between the number of talkers and the level of sound pressure, and it was found to be positive.

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Analysis of the relationships between environmental noise and urban morphology

Cited by 74 publications

References 65 publications

Urban land use effect analysis on the level of noise pollution using satellite and GIS technologies: A case study in Tehran city

Urban land use effect analysis on the level of noise pollution using satellite and GIS technologies: A case study in Tehran city

Spatiotemporal Ozone Level Variation in Urban Forests in Shenzhen, China

Influence of Contextual Factors on Soundscape in Urban Open Spaces

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