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Life Cycle Assessment modeling of milk production in Iran

Author:
حمزه سلطانعلی عباسکوهی
,
باقر عمادی
,
عباس روحانی
,
مهدی خجسته پور
,
امین نیکخواه کلاچاهی
,
Hamzeh Soltanali
,
Bagher Emadi
,
Abbas Rohani
,
Mehdi Khojastehpour
,
Amin Nikkhah Kolachahi
Year
: 2015
Abstract: Livestock units are known as one of the most influential sectors in the environment pollution. Therefore, the aim of this study was to investigate the environmental impacts of milk production in Guilan province of Iran through Life Cycle Assessment (LCA) methodology. The primary data were collected from 45 units of milk production through a field survey with the help of a structured questionnaire. The reliability was assessed using Cronbach’s alpha coefficient and was estimated an acceptable value of 0.91. The consumption of resources and emissions were allocated to a functional unit (FU) of one ton of milk. Impacts of emissions in five impact categories of global warming, acidification, eutrophication, photochemical oxidation and depletion of resources were investigated. The results showed that the characterization index for these impact categories were 1831 kg CO2 eq, 7.97 kg SO2 eq, 3.42 kg PO4−3 eq, 0.21 kg C2H4 eq and 838.39 MJ, respectively. Final indices for these impact categories were calculated as 0.24, 0.28, 0.076, 0.017 and 0.046, respectively. Environmental index (EcoX) and resources depletion index (RDI) were obtained 0.61 and 0.04, respectively. In this study, the highest potential for environmental impacts of production revealed for acidification and followed by global warming impact category.
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/3354175
Keyword(s): Acidification,Dairy farm,Environmental impact,Global warming
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    Life Cycle Assessment modeling of milk production in Iran

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contributor authorحمزه سلطانعلی عباسکوهیen
contributor authorباقر عمادیen
contributor authorعباس روحانیen
contributor authorمهدی خجسته پورen
contributor authorامین نیکخواه کلاچاهیen
contributor authorHamzeh Soltanalifa
contributor authorBagher Emadifa
contributor authorAbbas Rohanifa
contributor authorMehdi Khojastehpourfa
contributor authorAmin Nikkhah Kolachahifa
date accessioned2020-06-06T13:25:19Z
date available2020-06-06T13:25:19Z
date issued2015
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3354175?locale-attribute=en
description abstractLivestock units are known as one of the most influential sectors in the environment pollution. Therefore, the aim of this study was to investigate the environmental impacts of milk production in Guilan province of Iran through Life Cycle Assessment (LCA) methodology. The primary data were collected from 45 units of milk production through a field survey with the help of a structured questionnaire. The reliability was assessed using Cronbach’s alpha coefficient and was estimated an acceptable value of 0.91. The consumption of resources and emissions were allocated to a functional unit (FU) of one ton of milk. Impacts of emissions in five impact categories of global warming, acidification, eutrophication, photochemical oxidation and depletion of resources were investigated. The results showed that the characterization index for these impact categories were 1831 kg CO2 eq, 7.97 kg SO2 eq, 3.42 kg PO4−3 eq, 0.21 kg C2H4 eq and 838.39 MJ, respectively. Final indices for these impact categories were calculated as 0.24, 0.28, 0.076, 0.017 and 0.046, respectively. Environmental index (EcoX) and resources depletion index (RDI) were obtained 0.61 and 0.04, respectively. In this study, the highest potential for environmental impacts of production revealed for acidification and followed by global warming impact category.en
languageEnglish
titleLife Cycle Assessment modeling of milk production in Iranen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsAcidificationen
subject keywordsDairy farmen
subject keywordsEnvironmental impacten
subject keywordsGlobal warmingen
journal titleInformation Processing in Agriculturefa
pages101-108
journal volume2
journal issue1
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1049196.html
identifier articleid1049196
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