Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model
The atmospheric pollutants and greenhouse gases emitted by ships have a significant impact on the air quality of the cities around the port and the physical and mental health of the residents. In order to promote the low-carbon, green, and sustainable development of the region, it is urgent to condu...
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| Veröffentlicht in: | Sustainability 2022-09, Vol.14 (18), p.11188 |
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| creator | Peng, Zhongbo Wang, Lumeng Tong, Liang Zhang, Chunyu Zou, Han Tan, Jianping |
| description | The atmospheric pollutants and greenhouse gases emitted by ships have a significant impact on the air quality of the cities around the port and the physical and mental health of the residents. In order to promote the low-carbon, green, and sustainable development of the region, it is urgent to conduct comprehensive research and control the air pollution emissions from ships in the region. In this paper, the traditional power-based emission inventory calculation model is improved through field tests, and the engine propeller matching coefficient is proposed. Combined with the actual situation of local ships, the parameters suitable for the air pollution emission inventory of ships in the region are comprehensively selected. In the case of statistical comparison of the air pollutant emissions of the main and auxiliary engines under different navigation conditions, the uncertainty analysis was carried out, and the AIS (Automatic Identification System) combined with the power method was used to obtain the air pollution emission inventory of ships in the main urban area of Chongqing. The research in this paper can improve the calculation model of the power method emission inventory according to the situation of ships in the inland river area, which provides a reference for the development and improvement of the emission inventory in the inland river area, and also provides suggestions and thinking for the government to formulate energy saving and emission reduction measures in the inland river area. |
| doi_str_mv | 10.3390/su141811188 |
| format | Article |
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In order to promote the low-carbon, green, and sustainable development of the region, it is urgent to conduct comprehensive research and control the air pollution emissions from ships in the region. In this paper, the traditional power-based emission inventory calculation model is improved through field tests, and the engine propeller matching coefficient is proposed. Combined with the actual situation of local ships, the parameters suitable for the air pollution emission inventory of ships in the region are comprehensively selected. In the case of statistical comparison of the air pollutant emissions of the main and auxiliary engines under different navigation conditions, the uncertainty analysis was carried out, and the AIS (Automatic Identification System) combined with the power method was used to obtain the air pollution emission inventory of ships in the main urban area of Chongqing. The research in this paper can improve the calculation model of the power method emission inventory according to the situation of ships in the inland river area, which provides a reference for the development and improvement of the emission inventory in the inland river area, and also provides suggestions and thinking for the government to formulate energy saving and emission reduction measures in the inland river area.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su141811188</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air pollution ; Air quality ; Analysis ; Atmospheric carbon dioxide ; Atmospheric correction ; Carbon ; China ; Diesel engines ; Emission analysis ; Emission inventories ; Emission measurements ; Emission standards ; Emissions ; Emissions control ; Energy conservation ; Engines ; Environmental aspects ; Environmental protection ; Field tests ; Greenhouse effect ; Greenhouse gases ; Mental health ; Methods ; Pollutants ; Pollution control ; Ports ; Research methodology ; Rivers ; Ships ; Sulfur content ; Sustainability ; Sustainable development ; Uncertainty analysis ; Urban areas ; Vehicles ; VOCs ; Volatile organic compounds ; Water pollution</subject><ispartof>Sustainability, 2022-09, Vol.14 (18), p.11188</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-98dcdcde38b20799b2f0fa976002f22aff1e9980741696e476747a098449f7c63</citedby><cites>FETCH-LOGICAL-c371t-98dcdcde38b20799b2f0fa976002f22aff1e9980741696e476747a098449f7c63</cites><orcidid>0000-0002-9046-1382</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Peng, Zhongbo</creatorcontrib><creatorcontrib>Wang, Lumeng</creatorcontrib><creatorcontrib>Tong, Liang</creatorcontrib><creatorcontrib>Zhang, Chunyu</creatorcontrib><creatorcontrib>Zou, Han</creatorcontrib><creatorcontrib>Tan, Jianping</creatorcontrib><title>Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model</title><title>Sustainability</title><description>The atmospheric pollutants and greenhouse gases emitted by ships have a significant impact on the air quality of the cities around the port and the physical and mental health of the residents. In order to promote the low-carbon, green, and sustainable development of the region, it is urgent to conduct comprehensive research and control the air pollution emissions from ships in the region. In this paper, the traditional power-based emission inventory calculation model is improved through field tests, and the engine propeller matching coefficient is proposed. Combined with the actual situation of local ships, the parameters suitable for the air pollution emission inventory of ships in the region are comprehensively selected. In the case of statistical comparison of the air pollutant emissions of the main and auxiliary engines under different navigation conditions, the uncertainty analysis was carried out, and the AIS (Automatic Identification System) combined with the power method was used to obtain the air pollution emission inventory of ships in the main urban area of Chongqing. The research in this paper can improve the calculation model of the power method emission inventory according to the situation of ships in the inland river area, which provides a reference for the development and improvement of the emission inventory in the inland river area, and also provides suggestions and thinking for the government to formulate energy saving and emission reduction measures in the inland river area.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Analysis</subject><subject>Atmospheric carbon dioxide</subject><subject>Atmospheric correction</subject><subject>Carbon</subject><subject>China</subject><subject>Diesel engines</subject><subject>Emission analysis</subject><subject>Emission inventories</subject><subject>Emission measurements</subject><subject>Emission standards</subject><subject>Emissions</subject><subject>Emissions control</subject><subject>Energy conservation</subject><subject>Engines</subject><subject>Environmental aspects</subject><subject>Environmental protection</subject><subject>Field tests</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Mental health</subject><subject>Methods</subject><subject>Pollutants</subject><subject>Pollution control</subject><subject>Ports</subject><subject>Research methodology</subject><subject>Rivers</subject><subject>Ships</subject><subject>Sulfur content</subject><subject>Sustainability</subject><subject>Sustainable development</subject><subject>Uncertainty analysis</subject><subject>Urban areas</subject><subject>Vehicles</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><subject>Water pollution</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkcFOwzAMhisEEtPYiReIxAmhjrgpTXMc04BKm5gYnKOsTbZMbTOSFNjbkzEOm32wZX3-bdlRdA14SAjD966DFHIAyPOzqJdgCjHgB3x-lF9GA-c2OBghwCDrRdXEebGstVs3svXIKFS0tWgrtFjrLRppi-amrjuvTYsmjXZunxTtV4CN3aFH4WSFQmluvqVFM-nXpkJjY60s_3pmppL1VXShRO3k4D_2o4-nyfv4JZ6-Phfj0TQuCQUfs7wqg0uSL8PGjC0ThZVgNMM4UUkilALJWI5pChnLZEozmlKBWZ6mTNEyI_3o5qC7teazk87zjelsG0byhEKWQU4JBGp4oFailly3yngryuCVbHRpWql0qI9oGoaEw-1lb08aAuPlj1-JzjleLN5O2bsDW1rjnJWKb61uhN1xwHz_Jn70JvILXraCxg</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Peng, Zhongbo</creator><creator>Wang, Lumeng</creator><creator>Tong, Liang</creator><creator>Zhang, Chunyu</creator><creator>Zou, Han</creator><creator>Tan, Jianping</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-9046-1382</orcidid></search><sort><creationdate>20220901</creationdate><title>Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model</title><author>Peng, Zhongbo ; Wang, Lumeng ; Tong, Liang ; Zhang, Chunyu ; Zou, Han ; Tan, Jianping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-98dcdcde38b20799b2f0fa976002f22aff1e9980741696e476747a098449f7c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Analysis</topic><topic>Atmospheric carbon dioxide</topic><topic>Atmospheric correction</topic><topic>Carbon</topic><topic>China</topic><topic>Diesel engines</topic><topic>Emission analysis</topic><topic>Emission inventories</topic><topic>Emission measurements</topic><topic>Emission standards</topic><topic>Emissions</topic><topic>Emissions control</topic><topic>Energy conservation</topic><topic>Engines</topic><topic>Environmental aspects</topic><topic>Environmental protection</topic><topic>Field tests</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Mental health</topic><topic>Methods</topic><topic>Pollutants</topic><topic>Pollution control</topic><topic>Ports</topic><topic>Research methodology</topic><topic>Rivers</topic><topic>Ships</topic><topic>Sulfur content</topic><topic>Sustainability</topic><topic>Sustainable development</topic><topic>Uncertainty analysis</topic><topic>Urban areas</topic><topic>Vehicles</topic><topic>VOCs</topic><topic>Volatile organic compounds</topic><topic>Water pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Zhongbo</creatorcontrib><creatorcontrib>Wang, Lumeng</creatorcontrib><creatorcontrib>Tong, Liang</creatorcontrib><creatorcontrib>Zhang, Chunyu</creatorcontrib><creatorcontrib>Zou, Han</creatorcontrib><creatorcontrib>Tan, Jianping</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Zhongbo</au><au>Wang, Lumeng</au><au>Tong, Liang</au><au>Zhang, Chunyu</au><au>Zou, Han</au><au>Tan, Jianping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model</atitle><jtitle>Sustainability</jtitle><date>2022-09-01</date><risdate>2022</risdate><volume>14</volume><issue>18</issue><spage>11188</spage><pages>11188-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The atmospheric pollutants and greenhouse gases emitted by ships have a significant impact on the air quality of the cities around the port and the physical and mental health of the residents. In order to promote the low-carbon, green, and sustainable development of the region, it is urgent to conduct comprehensive research and control the air pollution emissions from ships in the region. In this paper, the traditional power-based emission inventory calculation model is improved through field tests, and the engine propeller matching coefficient is proposed. Combined with the actual situation of local ships, the parameters suitable for the air pollution emission inventory of ships in the region are comprehensively selected. In the case of statistical comparison of the air pollutant emissions of the main and auxiliary engines under different navigation conditions, the uncertainty analysis was carried out, and the AIS (Automatic Identification System) combined with the power method was used to obtain the air pollution emission inventory of ships in the main urban area of Chongqing. The research in this paper can improve the calculation model of the power method emission inventory according to the situation of ships in the inland river area, which provides a reference for the development and improvement of the emission inventory in the inland river area, and also provides suggestions and thinking for the government to formulate energy saving and emission reduction measures in the inland river area.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su141811188</doi><orcidid>https://orcid.org/0000-0002-9046-1382</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Air pollution Air quality Analysis Atmospheric carbon dioxide Atmospheric correction Carbon China Diesel engines Emission analysis Emission inventories Emission measurements Emission standards Emissions Emissions control Energy conservation Engines Environmental aspects Environmental protection Field tests Greenhouse effect Greenhouse gases Mental health Methods Pollutants Pollution control Ports Research methodology Rivers Ships Sulfur content Sustainability Sustainable development Uncertainty analysis Urban areas Vehicles VOCs Volatile organic compounds Water pollution |
| title | Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model |
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