Loading…
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...
Saved in:
Published in: | Journal of environmental management 2015-12, Vol.164, p.206-214 |
---|---|
Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423 |
---|---|
cites | cdi_FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423 |
container_end_page | 214 |
container_issue | |
container_start_page | 206 |
container_title | Journal of environmental management |
container_volume | 164 |
creator | Cai, Bofeng Wang, Jinnan Long, Ying Li, Wanxin Liu, Jianguo Ni, Zhe Bo, Xin Li, Dong Wang, Jianghao Chen, Xuejing Gao, Qingxian Zhang, Lixiao |
description | 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.
•The ranges of the impact of odors from China's 1955 landfills are evaluated.•The CALPUFF model is used to assess the uncertainty of the analysis results.•Large social media datasets reveal how people perceive landfill odors.•Landfill odors impacted 837476 ha with a range of uncertainty of −32.88% to 32.67%. |
doi_str_mv | 10.1016/j.jenvman.2015.09.009 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1758942018</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0301479715302619</els_id><sourcerecordid>3922209411</sourcerecordid><originalsourceid>FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423</originalsourceid><addsrcrecordid>eNqNkb2O1DAURi0EYmcXHgFkiYYm4dqOHbtCaLSwSCvRQENjefzDOEriYCcj7duTMAMFDVu58PnuZ9-D0CsCNQEi3nV158fTYMaaAuE1qBpAPUE7AopXUjB4inbAgFRNq9ordF1KBwCMkvY5uqKCKckbtUPfb0-mX8wcxx94Pnoch8nYGaeAk0u54JDT8PuCKM5xb0YXYt8XHEe8P8bR4KVsUYMPaZ7TUC0TNtOUk7HHF-hZMH3xLy_nDfr28fbr_q66__Lp8_7DfWU5iLlyxHJrGiOlI9RzHrxwjXSBgRWioYoqBUF4Z3lLaWiUIhSMkwF8ewisoewGvT3PXWt_Lr7MeojF-n59rE9L0aTlUjXrluQjUNoKJaGBx6BEEQmUreibf9AuLXlc_7x1t8AEZVs3P1M2p1KyD3rKcTD5QRPQm1Ld6YtSvSnVoPSqdM29vkxfDoN3f1N_HK7A-zPg1yWfos-62OhH613M3s7apfifil-ZI7Ix</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1757036238</pqid></control><display><type>article</type><title>Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Elsevier</source><creator>Cai, Bofeng ; Wang, Jinnan ; Long, Ying ; Li, Wanxin ; Liu, Jianguo ; Ni, Zhe ; Bo, Xin ; Li, Dong ; Wang, Jianghao ; Chen, Xuejing ; Gao, Qingxian ; Zhang, Lixiao</creator><creatorcontrib>Cai, Bofeng ; Wang, Jinnan ; Long, Ying ; Li, Wanxin ; Liu, Jianguo ; Ni, Zhe ; Bo, Xin ; Li, Dong ; Wang, Jianghao ; Chen, Xuejing ; Gao, Qingxian ; Zhang, Lixiao</creatorcontrib><description>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.
•The ranges of the impact of odors from China's 1955 landfills are evaluated.•The CALPUFF model is used to assess the uncertainty of the analysis results.•Large social media datasets reveal how people perceive landfill odors.•Landfill odors impacted 837476 ha with a range of uncertainty of −32.88% to 32.67%.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2015.09.009</identifier><identifier>PMID: 26398549</identifier><identifier>CODEN: JEVMAW</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air Pollutants - analysis ; Bottom-up ; China ; Environmental impact ; Environmental impact studies ; Environmental management ; Environmental Monitoring - methods ; Environmental testing ; Guangdong China ; Humans ; Landfill ; Models, Theoretical ; Odor impact ranges ; Odorants - analysis ; Odors ; Refuse Disposal - methods ; Refuse Disposal - statistics & numerical data ; Sichuan China ; Tibet ; Uncertainty evaluation ; Waste Disposal Facilities - statistics & numerical data</subject><ispartof>Journal of environmental management, 2015-12, Vol.164, p.206-214</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Academic Press Ltd. Dec 1, 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423</citedby><cites>FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423</cites><orcidid>0000-0001-5333-3827</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924,33222,33223</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26398549$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cai, Bofeng</creatorcontrib><creatorcontrib>Wang, Jinnan</creatorcontrib><creatorcontrib>Long, Ying</creatorcontrib><creatorcontrib>Li, Wanxin</creatorcontrib><creatorcontrib>Liu, Jianguo</creatorcontrib><creatorcontrib>Ni, Zhe</creatorcontrib><creatorcontrib>Bo, Xin</creatorcontrib><creatorcontrib>Li, Dong</creatorcontrib><creatorcontrib>Wang, Jianghao</creatorcontrib><creatorcontrib>Chen, Xuejing</creatorcontrib><creatorcontrib>Gao, Qingxian</creatorcontrib><creatorcontrib>Zhang, Lixiao</creatorcontrib><title>Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>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.
•The ranges of the impact of odors from China's 1955 landfills are evaluated.•The CALPUFF model is used to assess the uncertainty of the analysis results.•Large social media datasets reveal how people perceive landfill odors.•Landfill odors impacted 837476 ha with a range of uncertainty of −32.88% to 32.67%.</description><subject>Air Pollutants - analysis</subject><subject>Bottom-up</subject><subject>China</subject><subject>Environmental impact</subject><subject>Environmental impact studies</subject><subject>Environmental management</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental testing</subject><subject>Guangdong China</subject><subject>Humans</subject><subject>Landfill</subject><subject>Models, Theoretical</subject><subject>Odor impact ranges</subject><subject>Odorants - analysis</subject><subject>Odors</subject><subject>Refuse Disposal - methods</subject><subject>Refuse Disposal - statistics & numerical data</subject><subject>Sichuan China</subject><subject>Tibet</subject><subject>Uncertainty evaluation</subject><subject>Waste Disposal Facilities - statistics & numerical data</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNqNkb2O1DAURi0EYmcXHgFkiYYm4dqOHbtCaLSwSCvRQENjefzDOEriYCcj7duTMAMFDVu58PnuZ9-D0CsCNQEi3nV158fTYMaaAuE1qBpAPUE7AopXUjB4inbAgFRNq9ordF1KBwCMkvY5uqKCKckbtUPfb0-mX8wcxx94Pnoch8nYGaeAk0u54JDT8PuCKM5xb0YXYt8XHEe8P8bR4KVsUYMPaZ7TUC0TNtOUk7HHF-hZMH3xLy_nDfr28fbr_q66__Lp8_7DfWU5iLlyxHJrGiOlI9RzHrxwjXSBgRWioYoqBUF4Z3lLaWiUIhSMkwF8ewisoewGvT3PXWt_Lr7MeojF-n59rE9L0aTlUjXrluQjUNoKJaGBx6BEEQmUreibf9AuLXlc_7x1t8AEZVs3P1M2p1KyD3rKcTD5QRPQm1Ld6YtSvSnVoPSqdM29vkxfDoN3f1N_HK7A-zPg1yWfos-62OhH613M3s7apfifil-ZI7Ix</recordid><startdate>20151201</startdate><enddate>20151201</enddate><creator>Cai, Bofeng</creator><creator>Wang, Jinnan</creator><creator>Long, Ying</creator><creator>Li, Wanxin</creator><creator>Liu, Jianguo</creator><creator>Ni, Zhe</creator><creator>Bo, Xin</creator><creator>Li, Dong</creator><creator>Wang, Jianghao</creator><creator>Chen, Xuejing</creator><creator>Gao, Qingxian</creator><creator>Zhang, Lixiao</creator><general>Elsevier Ltd</general><general>Academic Press Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7X8</scope><scope>7TV</scope><scope>7U6</scope><orcidid>https://orcid.org/0000-0001-5333-3827</orcidid></search><sort><creationdate>20151201</creationdate><title>Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach</title><author>Cai, Bofeng ; Wang, Jinnan ; Long, Ying ; Li, Wanxin ; Liu, Jianguo ; Ni, Zhe ; Bo, Xin ; Li, Dong ; Wang, Jianghao ; Chen, Xuejing ; Gao, Qingxian ; Zhang, Lixiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Air Pollutants - analysis</topic><topic>Bottom-up</topic><topic>China</topic><topic>Environmental impact</topic><topic>Environmental impact studies</topic><topic>Environmental management</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental testing</topic><topic>Guangdong China</topic><topic>Humans</topic><topic>Landfill</topic><topic>Models, Theoretical</topic><topic>Odor impact ranges</topic><topic>Odorants - analysis</topic><topic>Odors</topic><topic>Refuse Disposal - methods</topic><topic>Refuse Disposal - statistics & numerical data</topic><topic>Sichuan China</topic><topic>Tibet</topic><topic>Uncertainty evaluation</topic><topic>Waste Disposal Facilities - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Bofeng</creatorcontrib><creatorcontrib>Wang, Jinnan</creatorcontrib><creatorcontrib>Long, Ying</creatorcontrib><creatorcontrib>Li, Wanxin</creatorcontrib><creatorcontrib>Liu, Jianguo</creatorcontrib><creatorcontrib>Ni, Zhe</creatorcontrib><creatorcontrib>Bo, Xin</creatorcontrib><creatorcontrib>Li, Dong</creatorcontrib><creatorcontrib>Wang, Jianghao</creatorcontrib><creatorcontrib>Chen, Xuejing</creatorcontrib><creatorcontrib>Gao, Qingxian</creatorcontrib><creatorcontrib>Zhang, Lixiao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Bofeng</au><au>Wang, Jinnan</au><au>Long, Ying</au><au>Li, Wanxin</au><au>Liu, Jianguo</au><au>Ni, Zhe</au><au>Bo, Xin</au><au>Li, Dong</au><au>Wang, Jianghao</au><au>Chen, Xuejing</au><au>Gao, Qingxian</au><au>Zhang, Lixiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2015-12-01</date><risdate>2015</risdate><volume>164</volume><spage>206</spage><epage>214</epage><pages>206-214</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><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.
•The ranges of the impact of odors from China's 1955 landfills are evaluated.•The CALPUFF model is used to assess the uncertainty of the analysis results.•Large social media datasets reveal how people perceive landfill odors.•Landfill odors impacted 837476 ha with a range of uncertainty of −32.88% to 32.67%.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26398549</pmid><doi>10.1016/j.jenvman.2015.09.009</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5333-3827</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0301-4797 |
ispartof | Journal of environmental management, 2015-12, Vol.164, p.206-214 |
issn | 0301-4797 1095-8630 |
language | eng |
recordid | cdi_proquest_miscellaneous_1758942018 |
source | International Bibliography of the Social Sciences (IBSS); Elsevier |
subjects | Air Pollutants - analysis Bottom-up China Environmental impact Environmental impact studies Environmental management Environmental Monitoring - methods Environmental testing Guangdong China Humans Landfill Models, Theoretical Odor impact ranges Odorants - analysis Odors Refuse Disposal - methods Refuse Disposal - statistics & numerical data Sichuan China Tibet Uncertainty evaluation Waste Disposal Facilities - statistics & numerical data |
title | Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T06%3A46%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20the%20impact%20of%20odors%20from%20the%201955%20landfills%20in%20China%20using%20a%20bottom-up%20approach&rft.jtitle=Journal%20of%20environmental%20management&rft.au=Cai,%20Bofeng&rft.date=2015-12-01&rft.volume=164&rft.spage=206&rft.epage=214&rft.pages=206-214&rft.issn=0301-4797&rft.eissn=1095-8630&rft.coden=JEVMAW&rft_id=info:doi/10.1016/j.jenvman.2015.09.009&rft_dat=%3Cproquest_cross%3E3922209411%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c506t-d1c5ca4a88d12e55fe6d48df30c664292990f6edc5722f499120ad8f0e7bf3423%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1757036238&rft_id=info:pmid/26398549&rfr_iscdi=true |