Pedro Meza-López, E. n, Mayra K. Trujillo-Delgado, Alan U. Burciaga-Álvarez, Ricardo de la Cruz-Carrera, J. A. Nájera-Luna
{"title":"杜兰戈萨尔托初级木材加工业的碳足迹估计","authors":"Pedro Meza-López, E. n, Mayra K. Trujillo-Delgado, Alan U. Burciaga-Álvarez, Ricardo de la Cruz-Carrera, J. A. Nájera-Luna","doi":"10.5154/r.rchscfa.2019.07.060","DOIUrl":null,"url":null,"abstract":"Introduction: The primary wood processing industry releases greenhouse gases \n(GHGs); their mitigation involves measuring the carbon footprint. \nObjective: To estimate the carbon footprint of two forestry companies dedicated to the \nprimary transformation of wood. Materials and methods: Companies established as organizational boundaries L1 and \nL2 have two (Q1 and Q2) and one (D) sawmill, respectively. The operational limits were \nA1 (direct emissions from fossil fuel consumption), A2 (indirect emissions from electricity \nconsumption) and A3 (emission sources not owned by L1 and L2). GHG emissions were \ncalculated in two annuities with the method of using documented activity data and \nemission factors level 1. The annuities were compared with the Student’ t-test and \nWilcoxon test, and the sawmills with the Kruskal-Wallis test. Results and discussion: The estimated carbon footprint for L1 was 480.06 tCO 2 e·year - \n1 , where A1, A2 and A3 represented 29.32 %, 14.59 % and 56.09 %, respectively. L2 \nhad a footprint of 230.56 tCO 2 e·year -1 of which 9.39 %, 11.78 % and 78.83 % \ncorresponded to the categories A1, A2 and A3, respectively. The cumulative uncertainty \nwas within a fair range of accuracy (±25 %). Only the direct GHG emissions between L1 \nannuities were statistically different (P < 0.05). Mechanical technology made the \ndifference in GHG emissions among sawmills (P Conclusions: The carbon footprint is inherent to the energy used; energy management \nensures the mitigation of GHG emissions.","PeriodicalId":54479,"journal":{"name":"Revista Chapingo Serie Ciencias Forestales Y Del Ambiente","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Carbon footprint estimate in the primary wood processing industry in El Salto, Durango\",\"authors\":\"Pedro Meza-López, E. n, Mayra K. Trujillo-Delgado, Alan U. Burciaga-Álvarez, Ricardo de la Cruz-Carrera, J. A. Nájera-Luna\",\"doi\":\"10.5154/r.rchscfa.2019.07.060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: The primary wood processing industry releases greenhouse gases \\n(GHGs); their mitigation involves measuring the carbon footprint. \\nObjective: To estimate the carbon footprint of two forestry companies dedicated to the \\nprimary transformation of wood. Materials and methods: Companies established as organizational boundaries L1 and \\nL2 have two (Q1 and Q2) and one (D) sawmill, respectively. The operational limits were \\nA1 (direct emissions from fossil fuel consumption), A2 (indirect emissions from electricity \\nconsumption) and A3 (emission sources not owned by L1 and L2). GHG emissions were \\ncalculated in two annuities with the method of using documented activity data and \\nemission factors level 1. The annuities were compared with the Student’ t-test and \\nWilcoxon test, and the sawmills with the Kruskal-Wallis test. Results and discussion: The estimated carbon footprint for L1 was 480.06 tCO 2 e·year - \\n1 , where A1, A2 and A3 represented 29.32 %, 14.59 % and 56.09 %, respectively. L2 \\nhad a footprint of 230.56 tCO 2 e·year -1 of which 9.39 %, 11.78 % and 78.83 % \\ncorresponded to the categories A1, A2 and A3, respectively. The cumulative uncertainty \\nwas within a fair range of accuracy (±25 %). Only the direct GHG emissions between L1 \\nannuities were statistically different (P < 0.05). Mechanical technology made the \\ndifference in GHG emissions among sawmills (P Conclusions: The carbon footprint is inherent to the energy used; energy management \\nensures the mitigation of GHG emissions.\",\"PeriodicalId\":54479,\"journal\":{\"name\":\"Revista Chapingo Serie Ciencias Forestales Y Del Ambiente\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Chapingo Serie Ciencias Forestales Y Del Ambiente\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.5154/r.rchscfa.2019.07.060\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Chapingo Serie Ciencias Forestales Y Del Ambiente","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.5154/r.rchscfa.2019.07.060","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Carbon footprint estimate in the primary wood processing industry in El Salto, Durango
Introduction: The primary wood processing industry releases greenhouse gases
(GHGs); their mitigation involves measuring the carbon footprint.
Objective: To estimate the carbon footprint of two forestry companies dedicated to the
primary transformation of wood. Materials and methods: Companies established as organizational boundaries L1 and
L2 have two (Q1 and Q2) and one (D) sawmill, respectively. The operational limits were
A1 (direct emissions from fossil fuel consumption), A2 (indirect emissions from electricity
consumption) and A3 (emission sources not owned by L1 and L2). GHG emissions were
calculated in two annuities with the method of using documented activity data and
emission factors level 1. The annuities were compared with the Student’ t-test and
Wilcoxon test, and the sawmills with the Kruskal-Wallis test. Results and discussion: The estimated carbon footprint for L1 was 480.06 tCO 2 e·year -
1 , where A1, A2 and A3 represented 29.32 %, 14.59 % and 56.09 %, respectively. L2
had a footprint of 230.56 tCO 2 e·year -1 of which 9.39 %, 11.78 % and 78.83 %
corresponded to the categories A1, A2 and A3, respectively. The cumulative uncertainty
was within a fair range of accuracy (±25 %). Only the direct GHG emissions between L1
annuities were statistically different (P < 0.05). Mechanical technology made the
difference in GHG emissions among sawmills (P Conclusions: The carbon footprint is inherent to the energy used; energy management
ensures the mitigation of GHG emissions.
期刊介绍:
The Revista Chapingo Serie Ciencias Forestales y del Ambiente (RCHSCFA) is a scientific journal that aims to raise awareness of high-quality research products related to forest, arid, temperate and tropical environments in the world. Since its foundation in 1994, the RCHSCFA has served as a space for scientific dissemination and discussion at a national and international level among academics, researchers, undergraduate and graduate students, forest managers and public/private entities that are interested in the forest environment.
All content published in the journal first goes through a strict triple-blind review process and is published in the following formats: Scientific Articles, Review Articles, Methodologies, Technical or Technological Notes.