Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach

Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approa...
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Autor*in:	Cai, Bofeng [verfasserIn] Wang, Jinnan Long, Ying Li, Wanxin Liu, Jianguo Ni, Zhe Bo, Xin Li, Dong Wang, Jianghao Chen, Xuejing Gao, Qingxian Zhang, Lixiao

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Rechteinformationen:	Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. © COPYRIGHT 2015 Elsevier B.V.

Schlagwörter:	Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors

Übergeordnetes Werk:	Enthalten in: Journal of environmental management - Amsterdam : Elsevier, 1973, 164(2015), Seite 206-214
Übergeordnetes Werk:	volume:164 ; year:2015 ; pages:206-214

Links:	Volltext Link aufrufen Link aufrufen

DOI / URN:	10.1016/j.jenvman.2015.09.009

Katalog-ID:	OLC1966589468

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520			\|a Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.
540			\|a Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved.
540			\|a © COPYRIGHT 2015 Elsevier B.V.
650		4	\|a Evaluation
650		4	\|a Refuse and refuse disposal
650		4	\|a Sanitary landfills
650		4	\|a Analysis
650		4	\|a Global temperature changes
650		4	\|a Environmental impact
650		4	\|a Environmental testing
650		4	\|a Landfill
650		4	\|a Environmental management
650		4	\|a Odors
700	1		\|a Wang, Jinnan \|4 oth
700	1		\|a Long, Ying \|4 oth
700	1		\|a Li, Wanxin \|4 oth
700	1		\|a Liu, Jianguo \|4 oth
700	1		\|a Ni, Zhe \|4 oth
700	1		\|a Bo, Xin \|4 oth
700	1		\|a Li, Dong \|4 oth
700	1		\|a Wang, Jianghao \|4 oth
700	1		\|a Chen, Xuejing \|4 oth
700	1		\|a Gao, Qingxian \|4 oth
700	1		\|a Zhang, Lixiao \|4 oth
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spelling	10.1016/j.jenvman.2015.09.009 doi PQ20160617 (DE-627)OLC1966589468 (DE-599)GBVOLC1966589468 (PRQ)c2395-13715cef54e7e105b195a813dbbc4f0c76c92a6656b860b62187016b438710680 (KEY)0059831320150000164000000206evaluatingtheimpactofodorsfromthe1955landfillsinch DE-627 ger DE-627 rakwb eng 570 333.7 690 DNB 43.00 bkl Cai, Bofeng verfasserin aut Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. © COPYRIGHT 2015 Elsevier B.V. Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors Wang, Jinnan oth Long, Ying oth Li, Wanxin oth Liu, Jianguo oth Ni, Zhe oth Bo, Xin oth Li, Dong oth Wang, Jianghao oth Chen, Xuejing oth Gao, Qingxian oth Zhang, Lixiao oth Enthalten in Journal of environmental management Amsterdam : Elsevier, 1973 164(2015), Seite 206-214 (DE-627)129391557 (DE-600)184882-3 (DE-576)014776723 0301-4797 nnns volume:164 year:2015 pages:206-214 http://dx.doi.org/10.1016/j.jenvman.2015.09.009 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26398549 http://search.proquest.com/docview/1757036238 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-SOW SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 43.00 AVZ AR 164 2015 206-214
allfields_unstemmed	10.1016/j.jenvman.2015.09.009 doi PQ20160617 (DE-627)OLC1966589468 (DE-599)GBVOLC1966589468 (PRQ)c2395-13715cef54e7e105b195a813dbbc4f0c76c92a6656b860b62187016b438710680 (KEY)0059831320150000164000000206evaluatingtheimpactofodorsfromthe1955landfillsinch DE-627 ger DE-627 rakwb eng 570 333.7 690 DNB 43.00 bkl Cai, Bofeng verfasserin aut Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. © COPYRIGHT 2015 Elsevier B.V. Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors Wang, Jinnan oth Long, Ying oth Li, Wanxin oth Liu, Jianguo oth Ni, Zhe oth Bo, Xin oth Li, Dong oth Wang, Jianghao oth Chen, Xuejing oth Gao, Qingxian oth Zhang, Lixiao oth Enthalten in Journal of environmental management Amsterdam : Elsevier, 1973 164(2015), Seite 206-214 (DE-627)129391557 (DE-600)184882-3 (DE-576)014776723 0301-4797 nnns volume:164 year:2015 pages:206-214 http://dx.doi.org/10.1016/j.jenvman.2015.09.009 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26398549 http://search.proquest.com/docview/1757036238 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-SOW SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 43.00 AVZ AR 164 2015 206-214
allfieldsGer	10.1016/j.jenvman.2015.09.009 doi PQ20160617 (DE-627)OLC1966589468 (DE-599)GBVOLC1966589468 (PRQ)c2395-13715cef54e7e105b195a813dbbc4f0c76c92a6656b860b62187016b438710680 (KEY)0059831320150000164000000206evaluatingtheimpactofodorsfromthe1955landfillsinch DE-627 ger DE-627 rakwb eng 570 333.7 690 DNB 43.00 bkl Cai, Bofeng verfasserin aut Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. © COPYRIGHT 2015 Elsevier B.V. Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors Wang, Jinnan oth Long, Ying oth Li, Wanxin oth Liu, Jianguo oth Ni, Zhe oth Bo, Xin oth Li, Dong oth Wang, Jianghao oth Chen, Xuejing oth Gao, Qingxian oth Zhang, Lixiao oth Enthalten in Journal of environmental management Amsterdam : Elsevier, 1973 164(2015), Seite 206-214 (DE-627)129391557 (DE-600)184882-3 (DE-576)014776723 0301-4797 nnns volume:164 year:2015 pages:206-214 http://dx.doi.org/10.1016/j.jenvman.2015.09.009 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26398549 http://search.proquest.com/docview/1757036238 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-SOW SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 43.00 AVZ AR 164 2015 206-214
allfieldsSound	10.1016/j.jenvman.2015.09.009 doi PQ20160617 (DE-627)OLC1966589468 (DE-599)GBVOLC1966589468 (PRQ)c2395-13715cef54e7e105b195a813dbbc4f0c76c92a6656b860b62187016b438710680 (KEY)0059831320150000164000000206evaluatingtheimpactofodorsfromthe1955landfillsinch DE-627 ger DE-627 rakwb eng 570 333.7 690 DNB 43.00 bkl Cai, Bofeng verfasserin aut Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. © COPYRIGHT 2015 Elsevier B.V. Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors Wang, Jinnan oth Long, Ying oth Li, Wanxin oth Liu, Jianguo oth Ni, Zhe oth Bo, Xin oth Li, Dong oth Wang, Jianghao oth Chen, Xuejing oth Gao, Qingxian oth Zhang, Lixiao oth Enthalten in Journal of environmental management Amsterdam : Elsevier, 1973 164(2015), Seite 206-214 (DE-627)129391557 (DE-600)184882-3 (DE-576)014776723 0301-4797 nnns volume:164 year:2015 pages:206-214 http://dx.doi.org/10.1016/j.jenvman.2015.09.009 Volltext http://www.ncbi.nlm.nih.gov/pubmed/26398549 http://search.proquest.com/docview/1757036238 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-SOW SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 43.00 AVZ AR 164 2015 206-214
language	English
source	Enthalten in Journal of environmental management 164(2015), Seite 206-214 volume:164 year:2015 pages:206-214
sourceStr	Enthalten in Journal of environmental management 164(2015), Seite 206-214 volume:164 year:2015 pages:206-214
format_phy_str_mv	Article
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topic_facet	Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors
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container_title	Journal of environmental management
authorswithroles_txt_mv	Cai, Bofeng @@aut@@ Wang, Jinnan @@oth@@ Long, Ying @@oth@@ Li, Wanxin @@oth@@ Liu, Jianguo @@oth@@ Ni, Zhe @@oth@@ Bo, Xin @@oth@@ Li, Dong @@oth@@ Wang, Jianghao @@oth@@ Chen, Xuejing @@oth@@ Gao, Qingxian @@oth@@ Zhang, Lixiao @@oth@@
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author	Cai, Bofeng
spellingShingle	Cai, Bofeng ddc 570 bkl 43.00 misc Evaluation misc Refuse and refuse disposal misc Sanitary landfills misc Analysis misc Global temperature changes misc Environmental impact misc Environmental testing misc Landfill misc Environmental management misc Odors Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach
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topic_title	570 333.7 690 DNB 43.00 bkl Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach Evaluation Refuse and refuse disposal Sanitary landfills Analysis Global temperature changes Environmental impact Environmental testing Landfill Environmental management Odors
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title	Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach
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title_full	Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach
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title_sort	evaluating the impact of odors from the 1955 landfills in china using a bottom-up approach
title_auth	Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach
abstract	Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.
abstractGer	Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.
abstract_unstemmed	Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.
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title_short	Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach
url	http://dx.doi.org/10.1016/j.jenvman.2015.09.009 http://www.ncbi.nlm.nih.gov/pubmed/26398549 http://search.proquest.com/docview/1757036238
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author2	Wang, Jinnan Long, Ying Li, Wanxin Liu, Jianguo Ni, Zhe Bo, Xin Li, Dong Wang, Jianghao Chen, Xuejing Gao, Qingxian Zhang, Lixiao
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up_date	2024-07-03T22:07:17.673Z
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