Long-term prediction of greenhouse gas risk to the Chinese hydropower reservoirs

被引:67
|
作者
Kumar, Amit [1 ]
Yang, Tao [1 ]
Sharma, M. P. [2 ]
机构
[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
[2] Indian Inst Technol Roorkee, Alternate Hydro Energy Ctr, Roorkee 247667, Uttarakhand, India
关键词
Greenhouse gas; GRAT; Risk; Reservoir; Emission; 3 GORGES RESERVOIR; CARBON-DIOXIDE; HYDROELECTRIC RESERVOIRS; GHG EMISSIONS; SPATIOTEMPORAL VARIATIONS; DANJIANGKOU RESERVOIR; SEASONAL VARIABILITY; METHANE EMISSIONS; PARTIAL-PRESSURE; DIFFUSION FLUX;
D O I
10.1016/j.scitotenv.2018.07.314
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is undergoing an extensive hydropower development, but the magnitude of greenhouse gas (GHG) emissions risk to reservoirs is not well known. Electricity generation from hydropower is a challenging issue when it comes to sustainable development. In this study, the data on Chinese hydropower reservoirs (n = 12) were collected from the literature and is used as in input to Greenhouse Gas Risk Assessment Tool (GRAT) to predict long-term GHG (CO2 & CH4) risk to the hydropower reservoirs and its associated lifecycle GHG emissions (GHG-LCA). The model predicted that till recently (i.e., year 2018) the hydropower reservoirs found under medium risk (i.e., 109 < CO2 <= 628 and 3 < CH4 <= 45 mg.m(-2).d(-1)) which will reduce slowly over a period of 100 years. Out of 12 hydropower reservoirs studied, TGR presently under high risk of CH4 (i.e., 47 mg.m(-2).d(-1)) and medium CO2 risk. Therefore, assessment is required to know the magnitude of CH4 and its effect on regional climate so that mitigation measures could be taken in advance. The carbon emissions as CO(2)eq of the studied reservoirs are found as 134.69 +/- 225.23 Gg yr(-1), with a large share from CH4 emission. The associated life cycle GHG emissions are also estimated as 0.06 +/- 0.09 gCO(2)eq.kWh(-1), which is higher than the global estimates (i.e. 0.015 gCO(2)eq.kWh(-1)). (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:300 / 308
页数:9
相关论文
共 50 条
  • [1] Long-Term Evolution of Greenhouse Gas Emissions From Global Reservoirs
    Yan, Xingcheng
    Thieu, Vincent
    Garnier, Josette
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
  • [2] Long-term greenhouse gas emissions from hydroelectric reservoirs in tropical forest regions
    Galy-Lacaux, C
    Delmas, R
    Kouadio, G
    Richard, S
    Gosse, P
    [J]. GLOBAL BIOGEOCHEMICAL CYCLES, 1999, 13 (02) : 503 - 517
  • [3] An Efficient Linearization Method for Long-Term Operation of Cascaded Hydropower Reservoirs
    Kang, Chuanxiong
    Chen, Cheng
    Wang, Jinwen
    [J]. WATER RESOURCES MANAGEMENT, 2018, 32 (10) : 3391 - 3404
  • [4] An Efficient Linearization Method for Long-Term Operation of Cascaded Hydropower Reservoirs
    Chuanxiong Kang
    Cheng Chen
    Jinwen Wang
    [J]. Water Resources Management, 2018, 32 : 3391 - 3404
  • [5] Hydropower - A Green Energy? Tropical Reservoirs and Greenhouse Gas Emissions
    Gunkel, Guenter
    [J]. CLEAN-SOIL AIR WATER, 2009, 37 (09) : 726 - 734
  • [6] The case for long-term studies of greenhouse gas emissions
    Newcomb, T
    [J]. ENVIRONMENTAL CONSERVATION, 1999, 26 (03) : 166 - 168
  • [7] Estimation of carbon stock for greenhouse gas emissions from hydropower reservoirs
    Kumar, Amit
    Sharma, M. P.
    Yang, Tao
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 32 (11) : 3183 - 3193
  • [8] Long-term greenhouse gas measurements from aircraft
    Karion, A.
    Sweeney, C.
    Wolter, S.
    Newberger, T.
    Chen, H.
    Andrews, A.
    Kofler, J.
    Neff, D.
    Tans, P.
    [J]. ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (03) : 511 - 526
  • [9] Estimation of carbon stock for greenhouse gas emissions from hydropower reservoirs
    Amit Kumar
    M. P. Sharma
    Tao Yang
    [J]. Stochastic Environmental Research and Risk Assessment, 2018, 32 : 3183 - 3193
  • [10] RISK CALCULATION IN LONG-TERM PREDICTION
    MOBBS, SF
    [J]. RISK ANALYSIS IN NUCLEAR WASTE MANAGEMENT, 1989, : 161 - 174