Environmental impact assessment of open field and greenhouse strawberry production

被引:88
|
作者
Khoshnevisan, Benyamin [1 ]
Rafiee, Shahin [1 ]
Mousazadeh, Hossein [1 ]
机构
[1] Univ Tehran, Fac Agr Engn & Technol, Dept Agr Machinery Engn, Karaj, Iran
关键词
LCA; Strawberry production; Environment; Prediction; LIFE-CYCLE ASSESSMENT; WHEAT PRODUCTION; ENERGY-CONSUMPTION; NEURAL-NETWORKS; CROP PRODUCTION; EMISSIONS; PROVINCE; IRAN; LCA; CULTIVATION;
D O I
10.1016/j.eja.2013.05.003
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
A cradle-to-farm-gate life cycle assessment (LCA) study is conducted for open-field (OF) and greenhouse (GH) strawberry cultivation in Guilan province, Iran. The initial data including input materials and energy inputs exercised during production season was collected from 33 greenhouse holders and 77 farmers in the studied region. Data for the production of used inputs were taken from the EcoInvent (R) 2.0 database, and SimaPro software was employed to analyze primary data. Ten impact categories including Abiotic Depletion potential (AD), Acidification potential (AC), Eutrophication potential (EU), Global Warming potential for time horizon 100 years (GW), Ozone Depletion potential (OD), Human Toxicity potential (HT), Freshwater and Marine Aquatic Ecotoxicity potential (FAET and MAET), Terrestrial Ecotoxicity potential (TE), and Photochemical Oxidation potential (PhO) were selected based on CML 2 baseline 2000 V2/world, 1990/characterization method. One ton of produced strawberries was chosen as the functional unit. The evaluations of the study indicated that OF production system in all selected impact categories was more environmentally profitable than GH production system except AC and EU. Based on the results electricity, natural gas and N-based fertilizers in both production stage and application in GH strawberry production produced the most environmental burdens. Moreover, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) were compared to model environmental indices of strawberry production on the basis of input materials. The results revealed that ANFIS models due to employing fuzzy rules are able to predict ten environmental indices with minimum error and the highest accuracy. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:29 / 37
页数:9
相关论文
共 50 条
  • [31] Residue analysis and risk assessment of pyrethrins in open field and greenhouse turnips
    Xiaoxiao Feng
    Lixiang Pan
    Chen Wang
    Hongyan Zhang
    Environmental Science and Pollution Research, 2018, 25 : 877 - 886
  • [32] Residue and Risk Assessment of Imidacloprid and Chlorantraniliprole in Open Field and Greenhouse Celery
    Zhang, Changpeng
    Li, Yanjie
    Luo, Yuqin
    Wang, Xiangyun
    He, Hongmei
    Jiang, Jinhua
    Fang, Nan
    Zhao, Xueping
    Liu, Ying
    Wang, Qiang
    JOURNAL OF FOOD PROTECTION, 2022, 85 (05) : 835 - 843
  • [33] Residue analysis and risk assessment of pyrethrins in open field and greenhouse turnips
    Feng, Xiaoxiao
    Pan, Lixiang
    Wang, Chen
    Zhang, Hongyan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (01) : 877 - 886
  • [34] Greenhouse strawberry production in Iran, efficient or inefficient in energy
    Narges Banaeian
    Mahmoud Omid
    Hojat Ahmadi
    Energy Efficiency, 2012, 5 : 201 - 209
  • [35] Evaluation of cultivars and plug establishment for greenhouse strawberry production
    Deyton, Dennis
    Sams, Carl
    Takeda, Fumiomi
    Cummins, John
    HORTSCIENCE, 2008, 43 (04) : 1230 - 1230
  • [36] 'Out-of-Season' greenhouse production of raspberry and strawberry
    Kempler, C
    PROTECTED CULTIVATION 2002: IN SEARCH OF STRUCTURES, SYSTEMS AND PLANT MATERIALS FOR SUSTAINABLE GREENHOUSE PRODUCTION, 2004, (633): : 459 - 465
  • [37] Greenhouse strawberry production in Iran, efficient or inefficient in energy
    Banaeian, Narges
    Omid, Mahmoud
    Ahmadi, Hojat
    ENERGY EFFICIENCY, 2012, 5 (02) : 201 - 209
  • [38] Production of strawberry runners in greenhouse using hanging baskets
    de Oliveira, Roberto P.
    Brahm, Rafael U.
    Scivittaro, Walkyria B.
    HORTICULTURA BRASILEIRA, 2007, 25 (01) : 107 - 109
  • [39] Effect of bumble bee pollination on greenhouse strawberry production
    Dimou, Maria
    Taraza, Smaragda
    Thrasyvoulou, Andreas
    Vasilakakis, Miltiadis
    JOURNAL OF APICULTURAL RESEARCH, 2008, 47 (02) : 99 - 101
  • [40] The effect of temperature and light on strawberry production in a solar greenhouse
    Tang, Yilian
    Ma, Xun
    Li, Ming
    Wang, Yunfeng
    SOLAR ENERGY, 2020, 195 (195) : 318 - 328