Carbon emission reduction from the cooling effect of urban greenspace in the three urban agglomerations in China
Urban greenspace has the ability to cool the surrounding environment, thereby reducing energy consumption caused by the urban heat island effect and increasing the carbon savings. However, the underlying influential factors associated with these carbon savings have not been fully explored. This stud...
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| Veröffentlicht in: | Regional environmental change 2023-12, Vol.23 (4), p.134-134, Article 134 |
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| description | Urban greenspace has the ability to cool the surrounding environment, thereby reducing energy consumption caused by the urban heat island effect and increasing the carbon savings. However, the underlying influential factors associated with these carbon savings have not been fully explored. This study estimated the amount of carbon saving by the urban greenspace patches through the local cooling effect in 48 cities in the Yangtze-River-Delta agglomeration (YRD), Jing-Jin-Ji agglomerations (JJJ), and the Great Bay Area (GBA) and explored the factors with carbon saving across these cities. Results showed that a total amount of 353 × 10
3
t of carbon was saved by the urban greenspace in these 48 cities, with an average of 7345 t of carbon saving per city. Carbon saved by the surrounding cooled areas (4542t, 3253 t, and 204 t of carbon saving by the surrounding cooled area for YTZ, JJJ, and GBA, respectively) was nearly similar to that by the urban greenspace patches themselves (5371 t, 3550 t, and 160 t of carbon saving by the urban greenspace patches themselves for YTZ, JJJ, and GBA, respectively). Differences were found in the carbon saving among the three urban agglomerations (
P
|
| doi_str_mv | 10.1007/s10113-023-02128-w |
| format | Article |
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3
t of carbon was saved by the urban greenspace in these 48 cities, with an average of 7345 t of carbon saving per city. Carbon saved by the surrounding cooled areas (4542t, 3253 t, and 204 t of carbon saving by the surrounding cooled area for YTZ, JJJ, and GBA, respectively) was nearly similar to that by the urban greenspace patches themselves (5371 t, 3550 t, and 160 t of carbon saving by the urban greenspace patches themselves for YTZ, JJJ, and GBA, respectively). Differences were found in the carbon saving among the three urban agglomerations (
P
< 0.01), with the largest amount of carbon saving in YRD (9913 t per city) and then followed by JJJ (6803 t per city) and GBA (364 t per city). Principal component analysis and regression analysis showed that the amount of carbon saving by urban greenspace across cities was significantly related to the geometric characteristics of urban greenspace and the level of urban socio-economic development, while the correlation with urban greenspace pattern was relatively weak. It is indicated that the urban greenspaces should be protected, especially in those cities with high levels of socio-economic development. These results also demonstrate the carbon saving by urban greenspace through its local cooling effect should not be neglected.</description><identifier>ISSN: 1436-3798</identifier><identifier>EISSN: 1436-378X</identifier><identifier>DOI: 10.1007/s10113-023-02128-w</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agglomeration ; Air pollution ; Analysis ; Carbon ; China ; Cities ; Climate Change ; Climate Change/Climate Change Impacts ; Cooling ; Cooling effects ; Earth and Environmental Science ; Economic development ; Economics ; Emissions (Pollution) ; Emissions control ; energy ; Energy conservation ; Energy consumption ; Environment ; Geography ; geometry ; Green infrastructure ; heat island ; Nature Conservation ; Oceanography ; Open spaces ; Original Article ; principal component analysis ; Principal components analysis ; Regional/Spatial Science ; Regression analysis ; socioeconomic development ; Socioeconomics ; Urban areas ; Urban climatology ; Urban heat islands ; Urban planning</subject><ispartof>Regional environmental change, 2023-12, Vol.23 (4), p.134-134, Article 134</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c342t-ecb79371028edb1e9e5270fcc8ad14ae5b9275b8f0f6bb6256e496331f6ae6f63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10113-023-02128-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10113-023-02128-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Qiu, Kuanbiao</creatorcontrib><creatorcontrib>Jia, Baoquan</creatorcontrib><title>Carbon emission reduction from the cooling effect of urban greenspace in the three urban agglomerations in China</title><title>Regional environmental change</title><addtitle>Reg Environ Change</addtitle><description>Urban greenspace has the ability to cool the surrounding environment, thereby reducing energy consumption caused by the urban heat island effect and increasing the carbon savings. However, the underlying influential factors associated with these carbon savings have not been fully explored. This study estimated the amount of carbon saving by the urban greenspace patches through the local cooling effect in 48 cities in the Yangtze-River-Delta agglomeration (YRD), Jing-Jin-Ji agglomerations (JJJ), and the Great Bay Area (GBA) and explored the factors with carbon saving across these cities. Results showed that a total amount of 353 × 10
3
t of carbon was saved by the urban greenspace in these 48 cities, with an average of 7345 t of carbon saving per city. Carbon saved by the surrounding cooled areas (4542t, 3253 t, and 204 t of carbon saving by the surrounding cooled area for YTZ, JJJ, and GBA, respectively) was nearly similar to that by the urban greenspace patches themselves (5371 t, 3550 t, and 160 t of carbon saving by the urban greenspace patches themselves for YTZ, JJJ, and GBA, respectively). Differences were found in the carbon saving among the three urban agglomerations (
P
< 0.01), with the largest amount of carbon saving in YRD (9913 t per city) and then followed by JJJ (6803 t per city) and GBA (364 t per city). Principal component analysis and regression analysis showed that the amount of carbon saving by urban greenspace across cities was significantly related to the geometric characteristics of urban greenspace and the level of urban socio-economic development, while the correlation with urban greenspace pattern was relatively weak. It is indicated that the urban greenspaces should be protected, especially in those cities with high levels of socio-economic development. These results also demonstrate the carbon saving by urban greenspace through its local cooling effect should not be neglected.</description><subject>Agglomeration</subject><subject>Air pollution</subject><subject>Analysis</subject><subject>Carbon</subject><subject>China</subject><subject>Cities</subject><subject>Climate Change</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Cooling</subject><subject>Cooling effects</subject><subject>Earth and Environmental Science</subject><subject>Economic development</subject><subject>Economics</subject><subject>Emissions (Pollution)</subject><subject>Emissions control</subject><subject>energy</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Geography</subject><subject>geometry</subject><subject>Green infrastructure</subject><subject>heat island</subject><subject>Nature Conservation</subject><subject>Oceanography</subject><subject>Open spaces</subject><subject>Original Article</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>Regional/Spatial Science</subject><subject>Regression analysis</subject><subject>socioeconomic development</subject><subject>Socioeconomics</subject><subject>Urban areas</subject><subject>Urban climatology</subject><subject>Urban heat islands</subject><subject>Urban planning</subject><issn>1436-3798</issn><issn>1436-378X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kUtLxDAUhYsoOI7-AVcFN2465tEm7XIYfIHgRsFdSNObToc2qUnL4L83nQ4KLiSEHG6-c7nJiaJrjFYYIX7nMcKYJohMG5M82Z9EC5xSllCef5z-6CI_jy683yGEOeNoEfUb6UprYuga75sgHFSjGialne3iYQuxsrZtTB2D1qCG2Op4dKU0ce0AjO-lgrgxB3LYhtLxVtZ1aztwcmrmJ2KzbYy8jM60bD1cHc9l9P5w_7Z5Sl5eH58365dE0ZQMCaiSF5RjRHKoSgwFZIQjrVQuK5xKyMqC8KzMNdKsLBnJGKQFoxRrJoFpRpfR7dy3d_ZzBD-I8EIFbSsN2NELijOacUQZCejNH3RnR2fCdILkPDApy_JArWaqli2Ixmg7OKnCqsLfKWtAN6G-5qxABBWYBgOZDcpZ7x1o0bumk-5LYCSm1MScmgipiUNqYh9MdDb5AJsa3O8s_7i-AWAAm44</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Qiu, Kuanbiao</creator><creator>Jia, Baoquan</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M2P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20231201</creationdate><title>Carbon emission reduction from the cooling effect of urban greenspace in the three urban agglomerations in China</title><author>Qiu, Kuanbiao ; Jia, Baoquan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-ecb79371028edb1e9e5270fcc8ad14ae5b9275b8f0f6bb6256e496331f6ae6f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agglomeration</topic><topic>Air pollution</topic><topic>Analysis</topic><topic>Carbon</topic><topic>China</topic><topic>Cities</topic><topic>Climate Change</topic><topic>Climate Change/Climate Change Impacts</topic><topic>Cooling</topic><topic>Cooling effects</topic><topic>Earth and Environmental Science</topic><topic>Economic development</topic><topic>Economics</topic><topic>Emissions (Pollution)</topic><topic>Emissions control</topic><topic>energy</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Environment</topic><topic>Geography</topic><topic>geometry</topic><topic>Green infrastructure</topic><topic>heat island</topic><topic>Nature Conservation</topic><topic>Oceanography</topic><topic>Open spaces</topic><topic>Original Article</topic><topic>principal component analysis</topic><topic>Principal components analysis</topic><topic>Regional/Spatial Science</topic><topic>Regression analysis</topic><topic>socioeconomic development</topic><topic>Socioeconomics</topic><topic>Urban areas</topic><topic>Urban climatology</topic><topic>Urban heat islands</topic><topic>Urban planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiu, Kuanbiao</creatorcontrib><creatorcontrib>Jia, Baoquan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Regional environmental change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qiu, Kuanbiao</au><au>Jia, Baoquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Carbon emission reduction from the cooling effect of urban greenspace in the three urban agglomerations in China</atitle><jtitle>Regional environmental change</jtitle><stitle>Reg Environ Change</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>23</volume><issue>4</issue><spage>134</spage><epage>134</epage><pages>134-134</pages><artnum>134</artnum><issn>1436-3798</issn><eissn>1436-378X</eissn><abstract>Urban greenspace has the ability to cool the surrounding environment, thereby reducing energy consumption caused by the urban heat island effect and increasing the carbon savings. However, the underlying influential factors associated with these carbon savings have not been fully explored. This study estimated the amount of carbon saving by the urban greenspace patches through the local cooling effect in 48 cities in the Yangtze-River-Delta agglomeration (YRD), Jing-Jin-Ji agglomerations (JJJ), and the Great Bay Area (GBA) and explored the factors with carbon saving across these cities. Results showed that a total amount of 353 × 10
3
t of carbon was saved by the urban greenspace in these 48 cities, with an average of 7345 t of carbon saving per city. Carbon saved by the surrounding cooled areas (4542t, 3253 t, and 204 t of carbon saving by the surrounding cooled area for YTZ, JJJ, and GBA, respectively) was nearly similar to that by the urban greenspace patches themselves (5371 t, 3550 t, and 160 t of carbon saving by the urban greenspace patches themselves for YTZ, JJJ, and GBA, respectively). Differences were found in the carbon saving among the three urban agglomerations (
P
< 0.01), with the largest amount of carbon saving in YRD (9913 t per city) and then followed by JJJ (6803 t per city) and GBA (364 t per city). Principal component analysis and regression analysis showed that the amount of carbon saving by urban greenspace across cities was significantly related to the geometric characteristics of urban greenspace and the level of urban socio-economic development, while the correlation with urban greenspace pattern was relatively weak. It is indicated that the urban greenspaces should be protected, especially in those cities with high levels of socio-economic development. These results also demonstrate the carbon saving by urban greenspace through its local cooling effect should not be neglected.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10113-023-02128-w</doi><tpages>1</tpages></addata></record> |
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| subjects | Agglomeration Air pollution Analysis Carbon China Cities Climate Change Climate Change/Climate Change Impacts Cooling Cooling effects Earth and Environmental Science Economic development Economics Emissions (Pollution) Emissions control energy Energy conservation Energy consumption Environment Geography geometry Green infrastructure heat island Nature Conservation Oceanography Open spaces Original Article principal component analysis Principal components analysis Regional/Spatial Science Regression analysis socioeconomic development Socioeconomics Urban areas Urban climatology Urban heat islands Urban planning |
| title | Carbon emission reduction from the cooling effect of urban greenspace in the three urban agglomerations in China |
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