Simulating the spatial distribution of pollutant loads from pig farming using an agent-based modeling approach
This research developed an agent-based model (ABM) for simulating pollutant loads from pig farming. The behavior of farmer agents was captured using concepts from the theory of planned behavior. The ABM has three basic components: the household or farmer agent, the land patches, and global parameter...
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Veröffentlicht in: | Environmental science and pollution research international 2022-06, Vol.29 (28), p.42037-42054 |
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description | This research developed an agent-based model (ABM) for simulating pollutant loads from pig farming. The behavior of farmer agents was captured using concepts from the theory of planned behavior. The ABM has three basic components: the household or farmer agent, the land patches, and global parameters that capture the environmental context. The model was evaluated using a sensitivity analysis and then validated using data from a household survey, which showed that the predictive ability of the model was good. The ABM was then used in three scenarios: a baseline scenario, a positive scenario in which the number of pigs was assumed to remain stable but supporting policies for environmental management were increased, and a negative scenario, which assumed the number of pigs increases but management measures did not improve relative to the baseline. The positive scenario showed reductions in the discharged loads for many sub-basins of the study area while the negative scenario indicated that increased loads will be discharged to the environment. The scenario results suggest that to maintain the development of pig production while ensuring environmental protection for the district, financial, and technical support must be provided to the pig producers. The experience and education level of the farmers were significant factors influencing behaviors related to manure reuse and treatment, so awareness raising through environmental communication is needed in addition to technical measures. |
doi_str_mv | 10.1007/s11356-021-17112-2 |
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The behavior of farmer agents was captured using concepts from the theory of planned behavior. The ABM has three basic components: the household or farmer agent, the land patches, and global parameters that capture the environmental context. The model was evaluated using a sensitivity analysis and then validated using data from a household survey, which showed that the predictive ability of the model was good. The ABM was then used in three scenarios: a baseline scenario, a positive scenario in which the number of pigs was assumed to remain stable but supporting policies for environmental management were increased, and a negative scenario, which assumed the number of pigs increases but management measures did not improve relative to the baseline. The positive scenario showed reductions in the discharged loads for many sub-basins of the study area while the negative scenario indicated that increased loads will be discharged to the environment. The scenario results suggest that to maintain the development of pig production while ensuring environmental protection for the district, financial, and technical support must be provided to the pig producers. The experience and education level of the farmers were significant factors influencing behaviors related to manure reuse and treatment, so awareness raising through environmental communication is needed in addition to technical measures.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-021-17112-2</identifier><identifier>PMID: 34741733</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agent-based models ; Agriculture - methods ; Animals ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Discharge ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental management ; Environmental policy ; Environmental Pollutants ; Environmental protection ; Environmental science ; Farmers ; Farming ; Farms ; Humans ; Pollutants ; Pollution load ; Recent Trends in the Application of Green Technologies and their Management ; Sensitivity analysis ; Spatial distribution ; Swine ; Swine production ; Systems Analysis ; Technical services ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-06, Vol.29 (28), p.42037-42054</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-50f64bbedd6cfc10729393cee30ecfc30a92ddd1312a264539b0edb6a5c8d7c3</citedby><cites>FETCH-LOGICAL-c419t-50f64bbedd6cfc10729393cee30ecfc30a92ddd1312a264539b0edb6a5c8d7c3</cites><orcidid>0000-0002-0518-318X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-021-17112-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-021-17112-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34741733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ngo, An The</creatorcontrib><creatorcontrib>Nguyen, Giang Thi Huong</creatorcontrib><creatorcontrib>Nong, Duong Huu</creatorcontrib><creatorcontrib>See, Linda</creatorcontrib><title>Simulating the spatial distribution of pollutant loads from pig farming using an agent-based modeling approach</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>This research developed an agent-based model (ABM) for simulating pollutant loads from pig farming. The behavior of farmer agents was captured using concepts from the theory of planned behavior. The ABM has three basic components: the household or farmer agent, the land patches, and global parameters that capture the environmental context. The model was evaluated using a sensitivity analysis and then validated using data from a household survey, which showed that the predictive ability of the model was good. The ABM was then used in three scenarios: a baseline scenario, a positive scenario in which the number of pigs was assumed to remain stable but supporting policies for environmental management were increased, and a negative scenario, which assumed the number of pigs increases but management measures did not improve relative to the baseline. The positive scenario showed reductions in the discharged loads for many sub-basins of the study area while the negative scenario indicated that increased loads will be discharged to the environment. The scenario results suggest that to maintain the development of pig production while ensuring environmental protection for the district, financial, and technical support must be provided to the pig producers. The experience and education level of the farmers were significant factors influencing behaviors related to manure reuse and treatment, so awareness raising through environmental communication is needed in addition to technical measures.</description><subject>Agent-based models</subject><subject>Agriculture - methods</subject><subject>Animals</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Discharge</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental management</subject><subject>Environmental policy</subject><subject>Environmental Pollutants</subject><subject>Environmental protection</subject><subject>Environmental science</subject><subject>Farmers</subject><subject>Farming</subject><subject>Farms</subject><subject>Humans</subject><subject>Pollutants</subject><subject>Pollution load</subject><subject>Recent Trends in the Application of Green Technologies and their Management</subject><subject>Sensitivity analysis</subject><subject>Spatial distribution</subject><subject>Swine</subject><subject>Swine production</subject><subject>Systems Analysis</subject><subject>Technical services</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution 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The behavior of farmer agents was captured using concepts from the theory of planned behavior. The ABM has three basic components: the household or farmer agent, the land patches, and global parameters that capture the environmental context. The model was evaluated using a sensitivity analysis and then validated using data from a household survey, which showed that the predictive ability of the model was good. The ABM was then used in three scenarios: a baseline scenario, a positive scenario in which the number of pigs was assumed to remain stable but supporting policies for environmental management were increased, and a negative scenario, which assumed the number of pigs increases but management measures did not improve relative to the baseline. The positive scenario showed reductions in the discharged loads for many sub-basins of the study area while the negative scenario indicated that increased loads will be discharged to the environment. The scenario results suggest that to maintain the development of pig production while ensuring environmental protection for the district, financial, and technical support must be provided to the pig producers. The experience and education level of the farmers were significant factors influencing behaviors related to manure reuse and treatment, so awareness raising through environmental communication is needed in addition to technical measures.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34741733</pmid><doi>10.1007/s11356-021-17112-2</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0518-318X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agent-based models Agriculture - methods Animals Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Discharge Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental management Environmental policy Environmental Pollutants Environmental protection Environmental science Farmers Farming Farms Humans Pollutants Pollution load Recent Trends in the Application of Green Technologies and their Management Sensitivity analysis Spatial distribution Swine Swine production Systems Analysis Technical services Waste Water Technology Water Management Water Pollution Control |
title | Simulating the spatial distribution of pollutant loads from pig farming using an agent-based modeling approach |
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