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Thermal Science - Online First

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Modeling the correlation between water resources carbon emission and water consumption

Study the influencing factors and future changes of consumption carbon emissions and water consumption, and provide scientific support for the formulation of targeted policies in the region. Analyze the mechanism of energy consumption structure on carbon intensity, calculate the carbon emission of water intake system, water supply system, drainage and sewage treatment system; use the idea of carbon emission decomposition model to build a water consumption decomposition model. LMDI is used to decompose all factors without residual error, and the trend coefficient of gray correlation degree is used to judge the growth trend of energy consumption and carbon emission. The Baiyangdian Lake Basin is selected as the research water area. Based on the statistical data from 1986 to 2018, the direct path coefficients of the respective variables can be obtained. The absolute value of the respective variable t value is greater than t0.01(25)=2.496, indicating that the path coefficient of the respective variable to the dependent variable is extremely significant. The growth rate of total energy consumption and certain energy consumption is less than the growth rate of CO2 emissions, and the minimum detected carbon emissions per unit time is not less than 20Kg, indicating that the proposed method has certain monitoring efficiency and monitoring stability.
PAPER REVISED: 2022-03-15
PAPER ACCEPTED: 2022-05-13
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