Changes in water footprint of crop production in Beijing from 1978 to 2012: a logarithmic mean Divisia index decomposition analysis

被引:129
作者
Xu, Yanjie [1 ]
Huang, Kai [1 ]
Yu, Yajuan [2 ]
Wang, Xiaomeng [1 ]
机构
[1] Beijing Forestry Univ, Coll Environm Sci & Engn, Beijing 100083, Peoples R China
[2] Beijing Inst Technol, Sch Chem Engn & Environm, Beijing Key Lab Environm Sci & Engn, Beijing 100081, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Water footprint; LMDI approach; Crop production; Beijing; USE EFFICIENCY; CONSUMPTION; ENERGY; CHINA; VARIABILITY; IRRIGATION; IMPACTS; YIELD; MODEL;
D O I
10.1016/j.jclepro.2014.08.103
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beijing has been facing increasingly severe water scarcity. Water consumed by crop production is a notable proportion. To estimate total water consumption of crop production in Beijing, we refer to the water footprint concept, taking both direct and indirect water into account. The water footprint (WF) of crop production consists of blue, green and grey components. We use the logarithmic mean Divisia index (LMDI) decomposition method to quantitatively analyze the driving factors for changes in WE From 1978 to 2012, WF of crop production in Beijing experienced a decrease of 35.1%. This offset primarily resulted from rapid urbanization. The structure and technological factors acted as additional decrease factors. On the contrary, surged population and production scale effect hindered the water conservation process. To further promote water conservation in crop production, we have to continue improving water saving technology and adjusting plantation structure. Crop production in Beijing shows a greater blue WF than the green and grey ones, so rain-fed crops should be further promoted. This work elucidates how diverse determinants affect WF of crop production, which can provide detailed insights into the summary and outlooks of local crop water sustainability. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:180 / 187
页数:8
相关论文
共 49 条
  • [1] Water use impact of ethanol at a gasoline substitution ratio of 5% from cassava in Nigeria
    Adeoti, O.
    [J]. BIOMASS & BIOENERGY, 2010, 34 (07) : 985 - 992
  • [2] Allen R.G., 1998, Crop EvapotranspirationGuidelines for Computing Crop Water Requirements
  • [3] The LMDI approach to decomposition analysis: a practical guide
    Ang, BW
    [J]. ENERGY POLICY, 2005, 33 (07) : 867 - 871
  • [4] Decomposition analysis for policymaking in energy: which is the preferred method?
    Ang, BW
    [J]. ENERGY POLICY, 2004, 32 (09) : 1131 - 1139
  • [5] A new energy decomposition method: perfect in decomposition and consistent in aggregation
    Ang, BW
    Liu, FL
    [J]. ENERGY, 2001, 26 (06) : 537 - 548
  • [6] [Anonymous], 2006, FAOSTAT DAT
  • [7] Fuzzy input-output model for optimizing eco-industrial supply chains under water footprint constraints
    Aviso, Kathleen B.
    Tan, Raymond R.
    Culaba, Alvin B.
    Cruz, Jose B., Jr.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2011, 19 (2-3) : 187 - 196
  • [8] Beijing Bureau of Statistics (BBS), 1980, BEIJ STAT YB
  • [9] Beijing Municipal Water Conservation Office (BMWC), 2001, BEIJ SECT WAT REQ QU
  • [10] Beijing Water Authority (BWA), 2013, BEIJ WAT RES B 2012