Effect of per-capita land use changes on Holocene forest clearance and CO2 emissions

The centerpiece of the early anthropogenic hypothesis is the claim that humans took control of greenhouse-gas trends thousands of years ago because of emissions from early agriculture (Ruddiman, 2003, Ruddiman, 2007). A common reaction to this claim is that too few people lived thousands of years ago to have had a major effect on either land use or greenhouse-gas concentrations. Implicit in this view is the notion that per-capita land clearance has changed little for millennia, but numerous field studies have shown that early per-capita land use was large and then declined as increasing population density led to more intensive farming. Here we explore the potential impact of changing per-capita land use in recent millennia and conclude that greater clearance by early agriculturalists could have had a disproportionately large impact on CO₂ emissions.     

Energy consumption by rural migrant workers and urban residents with a hukou in China: quality-of-life-related factors and built environment

Natural Hazards - This paper compares energy consumption (electricity, gasoline, and gas) by rural migrant workers and urban residents with a hukou (a China-specific household registration system)...     

The impact of energy consumption on environment and public health in China

Fossil energy consumption is one of the main reasons for the deterioration of environmental pollution and decline in public health. This paper tests for the long-run and short-run relationship among energy consumption, environment pollution and public health using the autoregressive-distributed lag approach in China for the period 1985–2014. The study used energy consumption variables (i.e., the proportion of coal consumption, that of oil and clean energy, abbreviated as PCC, POIL and PCE, respectively), environmental pollution ones (i.e., SO₂ emissions, abbreviated SO₂, soot and dust emissions,), two health proxies (i.e., the proportion of cardiovascular and respiratory diseases mortality, abbreviated as PCD and PRD, respectively). These variables were selected due to vital importance in China. The overall results indicate that there was co-integration relationship under the study with statistically significantly positive relationship between environmental pollution and energy consumption, public health and environmental pollution in the short and long run. Comparing the long-run and short-run coefficients of energy use variable with respect to SO₂ and soot indicates that the long-run coefficients are the same as the short-run. The long-run coefficients of soot and dust emissions with respect to PCD and PRD, respectively, are higher than the short-run coefficients. This implies that environment pollution level is found to worsen with respect to fossil energy use presently and over time, while public health level descending with reference to soot and dust emission over time in China. The Granger causality results suggested a unidirectional Granger causality between energy use and environment pollution, environment pollution and public health. The results emphasized the importance of energy transformation and sustainable development policies that help to adjust the structure of energy consumption and to improve public health level.     

Provincial carbon footprints and interprovincial transfer of embodied CO2 emissions in China

Natural Hazards - This study applied the interprovincial input–output model to calculate the carbon footprint of 30 provinces and the interprovincial transfer of embodied CO2 emissions in...     

Effect of information and communication technology on energy consumption in China

Widespread controversy and a lack of empirical research exist with regard to the relationship between information communication technology (ICT) and energy consumption, especially in developing countries. This paper adopts a partial least square (PLS) method to explore the impact of ICT on energy consumption in China. Its main conclusions indicate that the impact can be represented by a U-shaped curve and the turning-point for ICT capital service is 10.93 units at 1990 constant prices. The negative effect of ICT was dominant until 2014. Moreover, the ARDL-ECM results also reveal a negative association between ICT and energy consumption in the short run. In addition, the influence of population, income, industrialization level, service sector development, energy price, energy consumption structure and non-ICT capital service on energy consumption is examined. Finally, policy recommendations are given.     

Framing the picture of energy consumption in China

Natural Hazards - China plays a critical role in global carbon reduction in the context of mitigating climate change as the essence of climate change and the associated environmental issues is...     

Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China

Natural Hazards - Technological advancement plays a crucial role in CO2 emissions mitigation and has attracted great attention around the world. A multitude of literatures mainly focused on single...     

2025年中国能源消费及煤炭需求预测

基于保压取心工艺测定煤层瓦斯压力和含量,是实现瓦斯参数快速精准测定的有效方法。瓦斯是一种以甲烷为主的多组分混合气体,煤对于不同气体的吸附能力不同,混合气体中各组分气体分压也存在差异,不同气体组分占比将影响煤层瓦斯含量和压力的测算结果。为实现保压取心煤层原位瓦斯压力的精准测算,采用数值模拟和理论计算相结合,研究气体组分对瓦斯压力测算的影响。通过分析取心器内煤心瓦斯压力演化过程,将多组分气体吸附模型引入瓦斯运移理论,建立考虑多组分气体的双重介质瓦斯压力演化方程,并应用于数值仿真。模拟结果显示,煤心进入岩心筒后裂隙瓦斯压力初始先迅速下降而后逐渐上升,基质瓦斯压力一直缓慢下降,岩心筒内自由空间的瓦斯压力由初始0.1 MPa缓慢上升,数小时后3个压力平衡,平衡压力远小于煤心原始瓦斯压力;CO₂组分对平衡瓦斯压力值的影响最大,当气体为纯CH₄时平衡压力最小。同时,推导了考虑多组分气体的保压取心煤层原位瓦斯压力计算公式,根据设定的平衡压力反算煤层瓦斯压力,理论计算煤层瓦斯压力值与数值模拟数据的对比结果吻合较好,Pearson相关系数为99.89%;利用取心器平衡压力反算煤层瓦斯压力时,计算结果随CO₂、CH₄组分增加和N₂组分减少而减小,气体为纯CH₄时反算的煤层瓦斯压力值最小。利用保压取心测算煤层原位瓦斯压力时,若不考虑气体组分而以纯CH₄计算,可能会低估煤层瓦斯压力值,尤其是煤层瓦斯压力较大且CO₂气体组分占比高时,误差更大,为准确测算煤层瓦斯压力,应考虑瓦斯气体组分的影响。

     

Analysis of spatial distribution of global energy-related CO2 emissions

The purpose of this paper is to use the gravity theory to study the spatial distribution and centers of gravity for the global energy-related CO₂ emissions and to determine how they have changed over time. The main results are as follows: (1) In 2011, global energy-related CO₂ emissions reached 34,032.74 Mt, and Asia was the largest CO₂ emitter, which accounted for 45.25 % of total CO₂ emissions in the world. (2) Since 2006, China has exceeded the USA and become the biggest CO₂ emissions country. (3) In terms of the annual growth speed of CO₂ emissions, China is the fastest, followed by India, Saudi Arabia, Brazil, and South Africa. (4) During the study period, the center of gravity for CO₂ emissions is an overall movement toward the southeast, and Asia has become the center of gravity for CO₂ emissions.     

Analysis of the influencing factors on CO2 emissions at different urbanization levels: regional difference in China based on panel estimation

Natural Hazards - A large amount of carbon dioxide emissions have drawn more and more attention recently. Existing regional research is mainly based on the classification of geographical location,...     

Strategies for addressing climate change on the industrial level: affecting factors to CO2 emissions of energy-intensive industries in China

Urban earthquake disaster prevention is regarded as an integrated systematic engineering. Urban earthquake disaster prevention system is made up of all the earthquake disaster prevention activities. The concept and composition of urban earthquake disaster prevention system periphery were presented based on system periphery theory. A seismic risk-control mechanism model of system periphery was deduced using exchange rate of periphery as a dependent variable, and an observability–controllability model of system periphery was established and crystallized in its application to the quantitative analysis of practice problem. The input sets of urban earthquake disaster prevention system are determined as the maximum earthquake magnitude happened in or around the city, the measurable earthquake frequency, population density and fixed assets density. The inside state sets of urban earthquake disaster prevention system are determined as disaster resistant ability of buildings, disaster resistant ability of lifelines and investment dynamics in disaster prevention per urban built-up area. The system output is urban seismic risk. The calculative results show the model presented in this study can analyze the influence of system periphery intensity and inside state on seismic risk and can control urban seismic risk by adjusting the parameters of system periphery, the system inside state and human influence intensity.