How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales
Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shi, Kaifang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:239 ; year:2019 ; day:1 ; month:12 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2019.118088 |
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ELV047896809 |
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| 245 | 1 | 0 | |a How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales |
| 264 | 1 | |c 2019transfer abstract | |
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| 520 | |a Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. | ||
| 520 | |a Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. | ||
| 650 | 7 | |a Urban forms |2 Elsevier | |
| 650 | 7 | |a Seasonal variation |2 Elsevier | |
| 650 | 7 | |a Chinese cities |2 Elsevier | |
| 650 | 7 | |a Nighttime light |2 Elsevier | |
| 650 | 7 | |a PM<ce:inf loc="post">2.5</ce:inf> concentrations |2 Elsevier | |
| 700 | 1 | |a Li, Yang |4 oth | |
| 700 | 1 | |a Chen, Yun |4 oth | |
| 700 | 1 | |a Li, Linyi |4 oth | |
| 700 | 1 | |a Huang, Chang |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Rajendiran, Rajmohan ELSEVIER |t Self-assembled 3D hierarchical MnCO |d 2020 |g Amsterdam [u.a.] |w (DE-627)ELV003750353 |
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10.1016/j.jclepro.2019.118088 doi GBV00000000000746.pica (DE-627)ELV047896809 (ELSEVIER)S0959-6526(19)32958-0 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Shi, Kaifang verfasserin aut How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Urban forms Elsevier Seasonal variation Elsevier Chinese cities Elsevier Nighttime light Elsevier PM<ce:inf loc="post">2.5</ce:inf> concentrations Elsevier Li, Yang oth Chen, Yun oth Li, Linyi oth Huang, Chang oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:239 year:2019 day:1 month:12 pages:0 https://doi.org/10.1016/j.jclepro.2019.118088 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 239 2019 1 1201 0 |
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10.1016/j.jclepro.2019.118088 doi GBV00000000000746.pica (DE-627)ELV047896809 (ELSEVIER)S0959-6526(19)32958-0 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Shi, Kaifang verfasserin aut How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Urban forms Elsevier Seasonal variation Elsevier Chinese cities Elsevier Nighttime light Elsevier PM<ce:inf loc="post">2.5</ce:inf> concentrations Elsevier Li, Yang oth Chen, Yun oth Li, Linyi oth Huang, Chang oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:239 year:2019 day:1 month:12 pages:0 https://doi.org/10.1016/j.jclepro.2019.118088 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 239 2019 1 1201 0 |
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10.1016/j.jclepro.2019.118088 doi GBV00000000000746.pica (DE-627)ELV047896809 (ELSEVIER)S0959-6526(19)32958-0 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Shi, Kaifang verfasserin aut How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Urban forms Elsevier Seasonal variation Elsevier Chinese cities Elsevier Nighttime light Elsevier PM<ce:inf loc="post">2.5</ce:inf> concentrations Elsevier Li, Yang oth Chen, Yun oth Li, Linyi oth Huang, Chang oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:239 year:2019 day:1 month:12 pages:0 https://doi.org/10.1016/j.jclepro.2019.118088 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 239 2019 1 1201 0 |
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10.1016/j.jclepro.2019.118088 doi GBV00000000000746.pica (DE-627)ELV047896809 (ELSEVIER)S0959-6526(19)32958-0 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Shi, Kaifang verfasserin aut How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Urban forms Elsevier Seasonal variation Elsevier Chinese cities Elsevier Nighttime light Elsevier PM<ce:inf loc="post">2.5</ce:inf> concentrations Elsevier Li, Yang oth Chen, Yun oth Li, Linyi oth Huang, Chang oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:239 year:2019 day:1 month:12 pages:0 https://doi.org/10.1016/j.jclepro.2019.118088 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 239 2019 1 1201 0 |
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10.1016/j.jclepro.2019.118088 doi GBV00000000000746.pica (DE-627)ELV047896809 (ELSEVIER)S0959-6526(19)32958-0 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Shi, Kaifang verfasserin aut How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. Urban forms Elsevier Seasonal variation Elsevier Chinese cities Elsevier Nighttime light Elsevier PM<ce:inf loc="post">2.5</ce:inf> concentrations Elsevier Li, Yang oth Chen, Yun oth Li, Linyi oth Huang, Chang oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:239 year:2019 day:1 month:12 pages:0 https://doi.org/10.1016/j.jclepro.2019.118088 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 239 2019 1 1201 0 |
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How does the urban form-PM<ce:inf loc="post">2.5</ce:inf> concentration relationship change seasonally in Chinese cities? A comparative analysis between national and urban agglomeration scales |
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Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. |
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Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. |
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Understanding how urban forms affect fine particulate (PM2.5) concentrations within different seasons is important for sustainable urban development. Thus, the purpose of this study was to quantify the relationships between urban forms and PM2.5 concentration change seasonally in 279 Chinese cities, with the explicit consideration of a comparative analysis between national and urban agglomeration scales. A comprehensive evaluation index system of urban forms was calculated based on six urban form metrics (total urban area (CA), number of patches (NP), landscape shape index (LSI), percentage of like adjacencies (PLADJ), patch cohesion index (COHESION), and aggregation index (AI)) by integrating three control variables (temperature, NDVI, and nighttime light). The spatial regression model was subsequently adopted to quantify the effects of urban forms on PM2.5 concentrations. The results revealed that, during the summer and autumn, only urban form compactness was significantly correlated with the PM2.5 concentrations, but more urban form metrics were significantly associated with the PM2.5 concentrations during the spring and winter in Chinese cities. The scattered urban form could effectively reduce the PM2.5 concentrations in the Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing but not in the Beijing-Tianjin-Hebei during the winter. The effects of urban forms on PM2.5 concentrations become increasingly noticeable from the national scale to the urban agglomeration scale with seasonal change. This study suggests that the urban form-PM2.5 concentration relationships are sensitive to seasonal variations across different regions. Thus, it is an important approach to solve PM2.5 pollution problem to construct an ideal urban form through flexible urban planning strategies. |
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