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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. The 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, is greater than t < 0.01(25) = 2.496, and 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 20 kg, 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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THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 4, PAGES [3559 - 3569]
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© 2022 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence