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A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China:Jiangsu, Henan and Inner Mongolia 被引量:2
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作者 LIU Xianzhao 《Journal of Resources and Ecology》 CSCD 2020年第5期483-498,共16页
An accurate understanding of the real situation of energy-related carbon emissions and the main factors driving the carbon emissions increments are crucial for China to realize its emission mitigation targets.Adopting... An accurate understanding of the real situation of energy-related carbon emissions and the main factors driving the carbon emissions increments are crucial for China to realize its emission mitigation targets.Adopting the comparative decomposition of an extended LMDI(Log-Mean Divisia Index)approach, this study decomposed the changes in carbon emissions of Jiangsu, Henan, and Inner Mongolia, which are located in the eastern, central and western parts of China.This analysis led to three main findings.1)During the period of 1996–2017, the energy-related carbon emissions in the examined provinces exhibited upward trends, but with some differences among the provinces.2)The influences of driving factors on carbon emissions varied distinctly in different provinces and economic stages.Economic growth had the largest positive effect on provincial carbon emissions increases.From 1996 to 2017, the contribution rates of economic development to emissions growth in Henan, Jiangsu and Inner Mongolia were 307.19%, 205.08% and 161.26%, respectively.This influence was followed by urbanization and population size.3)Energy intensity played a leading role in facilitating emissions-reduction in the examined provinces, except for during the tenth Five-Year Plan, followed by the energy structure.The effect of rural population proportion was the weakest among all the curbing factors.Furthermore, urban and rural resident’s energy consumption per capita demonstrated relatively minor impacts and disparate directions of influence in the different provinces and economic periods, but began to play increasing roles in driving up provincial emissions changes.For example, residential energy consumption in Jiangsu contributed over 7.9% to the total carbon emission growth in 1996-2017, among which urban residents’ per-capita energy consumption contributed more than 3.8%.In view of these findings, policy makers should formulate targeted emission reduction measures that are based on the distinct situations and key factors which affect carbon emissions in each province. 展开更多
关键词 carbon emission decomposition analysis LMDI method China's typical provinces
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Effect of Irrigation on Groundwater Dynamic Change in the Typical Irrigated Area of Qinghai Province 被引量:2
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作者 周鸿文 吕文星 +2 位作者 唐红波 王永峰 申国峰 《Agricultural Science & Technology》 CAS 2016年第7期1718-1722,共5页
Under the influence of the natural and human factors, water table of irri- gated area Changes frequently, but it is mainly affected by irrigation water infiltration replenishment during the irrigation. 5 groundwater o... Under the influence of the natural and human factors, water table of irri- gated area Changes frequently, but it is mainly affected by irrigation water infiltration replenishment during the irrigation. 5 groundwater observation wells were constructed in experimental plot of the Daxia irrigated area to carry out the experiment of the effect of irrigation on groundwater dynamic change in this research. The results showed that the groundwater stage dynarnic change rule of spring and seedling irri- gation stage in the typical plot was fit to the hydrological geology condition of grade- I terrace of Huangshui river valley. On the whole, lateral canal water direction formed a line effect. The No. 1 and No. 2 observation well were the closest to the lateral canal, which received more supplies, and the water level was the highest; the No, 3 observation well took the second place; The No. 4 and No. 5 observation well accepted least supplies, and the water level was the lowest. The rangeability of water table of spring irrigation period was significantly higher than that of seedling irrigation period, this is mainly due to the difference value of intake water volume and drainage water volume of spring irrigation phase was significantly higher than the seedling irrigation phase. 展开更多
关键词 Farm irrigation Water table Dynamiq Change typical irrigated area basin in Qinghai Province
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