Study on spatial distribution of crop residue burning and PM2.5 change in China
With China as the study area, MODIS MOD14A1 and MCD12Q1 products were used to derive daily crop residue burning spots from 2014 to 2015. After vectorization of crop residue burning pixels and with the use of fishnet, burning density distribution maps were eventually completed. Meanwhile, the daily a...
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| Veröffentlicht in: | Environmental pollution (1987) 2017-01, Vol.220, p.204-221 |
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| creator | Yin, Shuai Wang, Xiufeng Xiao, Yi Tani, Hiroshi Zhong, Guosheng Sun, Zhongyi |
| description | With China as the study area, MODIS MOD14A1 and MCD12Q1 products were used to derive daily crop residue burning spots from 2014 to 2015. After vectorization of crop residue burning pixels and with the use of fishnet, burning density distribution maps were eventually completed. Meanwhile, the daily air quality data from 150 cities in 2014 and 285 cities in 2015 were used to obtain daily and monthly PM2.5 distribution maps with the Kriging interpolation. The results indicate that crop residue burning occurs in a seasonal pattern, and its spatial distribution is closely related to farming activities. The annual PM2.5 in China decreased 11.81% from 2014 to 2015, and the distribution of PM2.5 in China's east and north is always higher than in China's west and south. Furthermore, the changes in PM2.5 exhibit a hysteresis after crop residue burning in summer and autumn-winter. Regarding summer crop residue burning in China's middle–east, the r between crop residue burning spots and PM2.5 is 0.6921 (P |
| doi_str_mv | 10.1016/j.envpol.2016.09.040 |
| format | Article |
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[Display omitted]
•Spatial distribution of crop residue burning presents strong seasonal patterns.•In specific season and region, the PM2.5 increase is related to crop residue burning.•The increase of PM2.5 is more obvious in Northeast China's autumn-winter season.•Crop residue burning in spring did not induce a change of PM2.5 in China's northeast.
East Central China's summer season (June) and Northeast China's autumn-winter season (October–November) both experience increase of PM2.5, which is closely related to crop residue burning.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/j.envpol.2016.09.040</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Air pollution ; MCD12Q1 ; MOD14A1 ; Northeast China ; Spatial consistency</subject><ispartof>Environmental pollution (1987), 2017-01, Vol.220, p.204-221</ispartof><rights>2016 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c482t-e0ce217dc9744387165a704f623489eb29011afaf1ce1f43e197d3793fc744e13</citedby><cites>FETCH-LOGICAL-c482t-e0ce217dc9744387165a704f623489eb29011afaf1ce1f43e197d3793fc744e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0269749116312799$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Yin, Shuai</creatorcontrib><creatorcontrib>Wang, Xiufeng</creatorcontrib><creatorcontrib>Xiao, Yi</creatorcontrib><creatorcontrib>Tani, Hiroshi</creatorcontrib><creatorcontrib>Zhong, Guosheng</creatorcontrib><creatorcontrib>Sun, Zhongyi</creatorcontrib><title>Study on spatial distribution of crop residue burning and PM2.5 change in China</title><title>Environmental pollution (1987)</title><description>With China as the study area, MODIS MOD14A1 and MCD12Q1 products were used to derive daily crop residue burning spots from 2014 to 2015. After vectorization of crop residue burning pixels and with the use of fishnet, burning density distribution maps were eventually completed. Meanwhile, the daily air quality data from 150 cities in 2014 and 285 cities in 2015 were used to obtain daily and monthly PM2.5 distribution maps with the Kriging interpolation. The results indicate that crop residue burning occurs in a seasonal pattern, and its spatial distribution is closely related to farming activities. The annual PM2.5 in China decreased 11.81% from 2014 to 2015, and the distribution of PM2.5 in China's east and north is always higher than in China's west and south. Furthermore, the changes in PM2.5 exhibit a hysteresis after crop residue burning in summer and autumn-winter. Regarding summer crop residue burning in China's middle–east, the r between crop residue burning spots and PM2.5 is 0.6921 (P < 0.01) in 2014 and 0.5620 (P < 0.01) in 2015, while the correlation coefficient of autumn-winter crop residue burning in China's northeast is slightly lower with an r of 0.5670 (P < 0.01) in 2014 and 0.6213 (P < 0.01) in 2015. In autumn-winter, crop residue burning can induce evident PM2.5 increase in China's northeast, and that is more obvious than summer crop residue burning in China's middle–east. Furthermore, when data of summer and autumn-winter crop residue burning from 2014 to 2015 are compared, we can see that the change in number of crop residue burning spots significant changes PM2.5 in these regions. Both the summer and autumn-winter crop residue burning areas presented spatial consistency with high PM2.5. By contrast, the results from many aspects indicated that the crop residue burning in spring did not cause a notable change of PM2.5.
[Display omitted]
•Spatial distribution of crop residue burning presents strong seasonal patterns.•In specific season and region, the PM2.5 increase is related to crop residue burning.•The increase of PM2.5 is more obvious in Northeast China's autumn-winter season.•Crop residue burning in spring did not induce a change of PM2.5 in China's northeast.
East Central China's summer season (June) and Northeast China's autumn-winter season (October–November) both experience increase of PM2.5, which is closely related to crop residue burning.</description><subject>Air pollution</subject><subject>MCD12Q1</subject><subject>MOD14A1</subject><subject>Northeast China</subject><subject>Spatial consistency</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LAzEUxIMoWKvfwEOOXnbNS9LN5iJI8R8oFdRzSLNv25Rtdk12C_32bqlnPT3mMTMwP0KugeXAoLjd5Bh2XdvkfFQ50zmT7IRMoFQiKySXp2TCeKEzJTWck4uUNowxKYSYkMVHP1R72gaaOtt729DKpz765dD78dnW1MW2oxGTrwakyyEGH1bUhoq-v_F8Rt3ahhVSH-h87YO9JGe1bRJe_d4p-Xp8-Jw_Z6-Lp5f5_WvmZMn7DJlDDqpyWkkpSgXFzCom64ILWWpccs0AbG1rcAi1FAhaVUJpUbsxgCCm5ObY28X2e8DUm61PDpvGBmyHZECzQhYcQP1vLeWsBFZCOVrl0TqOTilibbrotzbuDTBzQG025ojaHFAbps2IeozdHWM4Lt55jCY5j8Fh5SO63lSt_7vgB13Rh6g</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Yin, Shuai</creator><creator>Wang, Xiufeng</creator><creator>Xiao, Yi</creator><creator>Tani, Hiroshi</creator><creator>Zhong, Guosheng</creator><creator>Sun, Zhongyi</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SN</scope><scope>7ST</scope><scope>7TV</scope><scope>7U7</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>201701</creationdate><title>Study on spatial distribution of crop residue burning and PM2.5 change in China</title><author>Yin, Shuai ; Wang, Xiufeng ; Xiao, Yi ; Tani, Hiroshi ; Zhong, Guosheng ; Sun, Zhongyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-e0ce217dc9744387165a704f623489eb29011afaf1ce1f43e197d3793fc744e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Air pollution</topic><topic>MCD12Q1</topic><topic>MOD14A1</topic><topic>Northeast China</topic><topic>Spatial consistency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Shuai</creatorcontrib><creatorcontrib>Wang, Xiufeng</creatorcontrib><creatorcontrib>Xiao, Yi</creatorcontrib><creatorcontrib>Tani, Hiroshi</creatorcontrib><creatorcontrib>Zhong, Guosheng</creatorcontrib><creatorcontrib>Sun, Zhongyi</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Shuai</au><au>Wang, Xiufeng</au><au>Xiao, Yi</au><au>Tani, Hiroshi</au><au>Zhong, Guosheng</au><au>Sun, Zhongyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on spatial distribution of crop residue burning and PM2.5 change in China</atitle><jtitle>Environmental pollution (1987)</jtitle><date>2017-01</date><risdate>2017</risdate><volume>220</volume><spage>204</spage><epage>221</epage><pages>204-221</pages><issn>0269-7491</issn><eissn>1873-6424</eissn><abstract>With China as the study area, MODIS MOD14A1 and MCD12Q1 products were used to derive daily crop residue burning spots from 2014 to 2015. After vectorization of crop residue burning pixels and with the use of fishnet, burning density distribution maps were eventually completed. Meanwhile, the daily air quality data from 150 cities in 2014 and 285 cities in 2015 were used to obtain daily and monthly PM2.5 distribution maps with the Kriging interpolation. The results indicate that crop residue burning occurs in a seasonal pattern, and its spatial distribution is closely related to farming activities. The annual PM2.5 in China decreased 11.81% from 2014 to 2015, and the distribution of PM2.5 in China's east and north is always higher than in China's west and south. Furthermore, the changes in PM2.5 exhibit a hysteresis after crop residue burning in summer and autumn-winter. Regarding summer crop residue burning in China's middle–east, the r between crop residue burning spots and PM2.5 is 0.6921 (P < 0.01) in 2014 and 0.5620 (P < 0.01) in 2015, while the correlation coefficient of autumn-winter crop residue burning in China's northeast is slightly lower with an r of 0.5670 (P < 0.01) in 2014 and 0.6213 (P < 0.01) in 2015. In autumn-winter, crop residue burning can induce evident PM2.5 increase in China's northeast, and that is more obvious than summer crop residue burning in China's middle–east. Furthermore, when data of summer and autumn-winter crop residue burning from 2014 to 2015 are compared, we can see that the change in number of crop residue burning spots significant changes PM2.5 in these regions. Both the summer and autumn-winter crop residue burning areas presented spatial consistency with high PM2.5. By contrast, the results from many aspects indicated that the crop residue burning in spring did not cause a notable change of PM2.5.
[Display omitted]
•Spatial distribution of crop residue burning presents strong seasonal patterns.•In specific season and region, the PM2.5 increase is related to crop residue burning.•The increase of PM2.5 is more obvious in Northeast China's autumn-winter season.•Crop residue burning in spring did not induce a change of PM2.5 in China's northeast.
East Central China's summer season (June) and Northeast China's autumn-winter season (October–November) both experience increase of PM2.5, which is closely related to crop residue burning.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.envpol.2016.09.040</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Air pollution MCD12Q1 MOD14A1 Northeast China Spatial consistency |
| title | Study on spatial distribution of crop residue burning and PM2.5 change in China |
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