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Volume 39 Issue 9
Jan.  2022
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2021  >  39(9): 169-175
WANG Xing-run, LI Lei, YANG Xiang-hua, TIAN Yong-qiang. PROGRESS IN REMEDIATION OF CHROMIUM-CONTAMINATED SITES[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(6): 1-8,23. doi: 10.13205/j.hjgc.202006001
Citation: LIU Hang-yi, YAN Bei-bei, LIN Fa-wei, WANG Yuan, WANG Xu-tong, CHEN Guan-yi. COMPARATIVE ANALYSIS OF TWO KINDS OF FOOD WASTE RECYCLING SCHEMES FROM THE PERSPECTIVE OF LCA[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 169-175. doi: 10.13205/j.hjgc.202109024
shu

COMPARATIVE ANALYSIS OF TWO KINDS OF FOOD WASTE RECYCLING SCHEMES FROM THE PERSPECTIVE OF LCA

doi: 10.13205/j.hjgc.202109024

  • 1. School of Environmental Science and Technology, Tianjin University, Tianjin 300350, China;

  • 2. School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China

  • Received Date: 2020-11-18
    Available Online: 2022-01-21
    Abstract
  • In recent years, harmless and resource utilization of food waste are advocated researching and developing directions, which also play important role in public health and sustainable development. This paper selected two food waste treatment plants in Tangshan and Xiamen for investigation, representing two typical food waste treatment modes in China. The characterization, standardization, and normalization were conducted by method IMPACT2002+ in Simapro software. In addition, their economic benefits were briefly evaluated. The results demonstrated that case 1(Tangshan) dominated the environmental impact results of 13 midpoint indicators, such as aquatic ecotoxicity, non-renewable resources, and terrestrial ecotoxicity. The total potential environmental impacts of co-production of case 1(Tangshan) and case 2(Xiamen) were -26mpt and 22.7mpt, respectively. Thus, the environmental benefits of case 1 predominated. Comparing to case1, case2 has a shorter payback period and better economic benefits.
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    • References(24)
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 8.0 %其他: 8.0 %其他: 0.1 %其他: 0.1 %Central District: 0.1 %Central District: 0.1 %China: 1.2 %China: 1.2 %Japan: 0.1 %Japan: 0.1 %Saitama: 0.1 %Saitama: 0.1 %Tuen Mun San Hui: 0.3 %Tuen Mun San Hui: 0.3 %United States: 0.3 %United States: 0.3 %[]: 0.6 %[]: 0.6 %上海: 5.5 %上海: 5.5 %东莞: 1.1 %东莞: 1.1 %中山: 0.1 %中山: 0.1 %临汾: 0.1 %临汾: 0.1 %临沂: 0.3 %临沂: 0.3 %丽水: 0.1 %丽水: 0.1 %丽江: 0.1 %丽江: 0.1 %乌兰察布: 0.1 %乌兰察布: 0.1 %乐山: 0.1 %乐山: 0.1 %佛山: 0.4 %佛山: 0.4 %保定: 0.6 %保定: 0.6 %信阳: 0.1 %信阳: 0.1 %兰州: 0.1 %兰州: 0.1 %凉山彝族自治州: 0.1 %凉山彝族自治州: 0.1 %北京: 11.5 %北京: 11.5 %十堰: 0.1 %十堰: 0.1 %南京: 3.5 %南京: 3.5 %南充: 0.3 %南充: 0.3 %南宁: 0.2 %南宁: 0.2 %南昌: 1.1 %南昌: 1.1 %南通: 0.2 %南通: 0.2 %南通市崇川区: 0.1 %南通市崇川区: 0.1 %厦门: 0.5 %厦门: 0.5 %台北: 0.3 %台北: 0.3 %台州: 0.6 %台州: 0.6 %合肥: 1.2 %合肥: 1.2 %吉林: 0.4 %吉林: 0.4 %呼和浩特: 0.1 %呼和浩特: 0.1 %咸阳: 0.1 %咸阳: 0.1 %哈尔滨: 0.1 %哈尔滨: 0.1 %唐山: 0.2 %唐山: 0.2 %嘉兴: 0.1 %嘉兴: 0.1 %大同: 0.1 %大同: 0.1 %天津: 2.9 %天津: 2.9 %太原: 0.8 %太原: 0.8 %威海: 0.1 %威海: 0.1 %娄底: 0.1 %娄底: 0.1 %宁波: 0.4 %宁波: 0.4 %安庆: 0.1 %安庆: 0.1 %安康: 0.1 %安康: 0.1 %安顺: 0.1 %安顺: 0.1 %宜昌: 0.1 %宜昌: 0.1 %宜春: 0.6 %宜春: 0.6 %宝鸡: 0.1 %宝鸡: 0.1 %宣城: 0.6 %宣城: 0.6 %宫城: 0.1 %宫城: 0.1 %巴中: 0.1 %巴中: 0.1 %常州: 0.6 %常州: 0.6 %常德: 0.3 %常德: 0.3 %平顶山: 0.1 %平顶山: 0.1 %广州: 1.2 %广州: 1.2 %廊坊: 0.1 %廊坊: 0.1 %延安: 0.1 %延安: 0.1 %张家口: 1.3 %张家口: 1.3 %德州: 0.1 %德州: 0.1 %德阳: 0.1 %德阳: 0.1 %惠州: 0.2 %惠州: 0.2 %成都: 1.3 %成都: 1.3 %成都市双流区: 0.1 %成都市双流区: 0.1 %扬州: 0.3 %扬州: 0.3 %抚州: 0.1 %抚州: 0.1 %拉萨: 0.1 %拉萨: 0.1 %拉贾斯坦邦: 0.1 %拉贾斯坦邦: 0.1 %攀枝花: 0.1 %攀枝花: 0.1 %新乡: 0.3 %新乡: 0.3 %无锡: 0.5 %无锡: 0.5 %昆明: 0.8 %昆明: 0.8 %晋城: 0.1 %晋城: 0.1 %朝阳: 0.2 %朝阳: 0.2 %杭州: 3.9 %杭州: 3.9 %枣庄: 0.1 %枣庄: 0.1 %株洲: 1.0 %株洲: 1.0 %桂林: 0.4 %桂林: 0.4 %榆林: 0.1 %榆林: 0.1 %武汉: 2.6 %武汉: 2.6 %汕头: 0.1 %汕头: 0.1 %沈阳: 0.5 %沈阳: 0.5 %河源: 0.1 %河源: 0.1 %泸州: 0.1 %泸州: 0.1 %洛阳: 0.1 %洛阳: 0.1 %济南: 1.3 %济南: 1.3 %济源: 0.1 %济源: 0.1 %海口: 0.1 %海口: 0.1 %淄博: 0.4 %淄博: 0.4 %淮北: 0.1 %淮北: 0.1 %深圳: 0.7 %深圳: 0.7 %温州: 0.5 %温州: 0.5 %湖州: 0.4 %湖州: 0.4 %湘潭: 0.1 %湘潭: 0.1 %漯河: 0.7 %漯河: 0.7 %潍坊: 0.1 %潍坊: 0.1 %潮州: 0.1 %潮州: 0.1 %濮阳: 0.1 %濮阳: 0.1 %烟台: 0.3 %烟台: 0.3 %眉山: 0.1 %眉山: 0.1 %石家庄: 1.0 %石家庄: 1.0 %福州: 0.8 %福州: 0.8 %绍兴: 0.3 %绍兴: 0.3 %绵阳: 0.4 %绵阳: 0.4 %芒廷维尤: 5.9 %芒廷维尤: 5.9 %芝加哥: 1.1 %芝加哥: 1.1 %苏州: 0.6 %苏州: 0.6 %葫芦岛: 0.1 %葫芦岛: 0.1 %衡水: 0.1 %衡水: 0.1 %衡阳: 0.2 %衡阳: 0.2 %衢州: 0.2 %衢州: 0.2 %襄阳: 0.1 %襄阳: 0.1 %西宁: 4.7 %西宁: 4.7 %西安: 1.5 %西安: 1.5 %贵阳: 0.2 %贵阳: 0.2 %赣州: 0.2 %赣州: 0.2 %达州: 0.3 %达州: 0.3 %运城: 0.9 %运城: 0.9 %遵义: 0.2 %遵义: 0.2 %邯郸: 0.1 %邯郸: 0.1 %邵阳: 0.1 %邵阳: 0.1 %郑州: 1.7 %郑州: 1.7 %鄂州: 0.1 %鄂州: 0.1 %重庆: 2.0 %重庆: 2.0 %金华: 0.1 %金华: 0.1 %银川: 0.1 %银川: 0.1 %锦州: 0.4 %锦州: 0.4 %镇江: 0.1 %镇江: 0.1 %长春: 0.4 %长春: 0.4 %长沙: 3.2 %长沙: 3.2 %长治: 0.3 %长治: 0.3 %阜新: 0.1 %阜新: 0.1 %阳泉: 0.1 %阳泉: 0.1 %陇南: 0.1 %陇南: 0.1 %青岛: 2.5 %青岛: 2.5 %韶关: 0.1 %韶关: 0.1 %香港特别行政区: 0.3 %香港特别行政区: 0.3 %鹰潭: 0.1 %鹰潭: 0.1 %黄冈: 0.1 %黄冈: 0.1 %黄石: 0.6 %黄石: 0.6 %齐齐哈尔: 0.1 %齐齐哈尔: 0.1 %其他其他Central DistrictChinaJapanSaitamaTuen Mun San HuiUnited States[]上海东莞中山临汾临沂丽水丽江乌兰察布乐山佛山保定信阳兰州凉山彝族自治州北京十堰南京南充南宁南昌南通南通市崇川区厦门台北台州合肥吉林呼和浩特咸阳哈尔滨唐山嘉兴大同天津太原威海娄底宁波安庆安康安顺宜昌宜春宝鸡宣城宫城巴中常州常德平顶山广州廊坊延安张家口德州德阳惠州成都成都市双流区扬州抚州拉萨拉贾斯坦邦攀枝花新乡无锡昆明晋城朝阳杭州枣庄株洲桂林榆林武汉汕头沈阳河源泸州洛阳济南济源海口淄博淮北深圳温州湖州湘潭漯河潍坊潮州濮阳烟台眉山石家庄福州绍兴绵阳芒廷维尤芝加哥苏州葫芦岛衡水衡阳衢州襄阳西宁西安贵阳赣州达州运城遵义邯郸邵阳郑州鄂州重庆金华银川锦州镇江长春长沙长治阜新阳泉陇南青岛韶关香港特别行政区鹰潭黄冈黄石齐齐哈尔

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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