The spatial distribution of commuting CO_2 emissions and the influential factors:A case study in Xi'an,China

As the transport sector is a major source of greenhouse gas emissions, the effect of urbanization on transport CO2 emissions in developing cities has become a key issue under global climate change. Examining the case of Xi＇an, this paper aims to explore the spatial distribution of commuting CO2 emissions and influencing factors in the new, urban industry zones and city centers considering Xi＇an＇s transition from a monocentric to a polycentric city in the process of urbanization. Based on household survey data from 1501 respondents, there are obvious differences in commuting CO2 emissions between new industry zones and city centers： City centers feature lower household emissions of 2.86 kg CO2 per week, whereas new industry zones generally have higher household emissions of 3.20 kg CO2 per week. Contrary to previous research results, not all new industry zones have high levels of CO2 emissions; with the rapid development of various types of industries, even a minimum level of household emissions of 2.53 kg CO2 per week is possible. The uneven distribution of commuting CO2 emissions is not uniformly affected by spatial parameters such as job-housing balance, residential density, employment density, and land use diversity. Optimum combination of the spatial parameters and travel pattern along with corresponding transport infrastructure construction may be an appropriate path to reduction and control of emissions from commuting.

Metric of Carbon Equity:Carbon Gini Index Based on Historical Cumulative Emission per Capita

This paper uses Lorenz curve and Gini index with adjustment to per capita historical cumulative emission to construct carbon Gini index to measure inequality in climate change area. The analysis shows that 70% of carbon space in the atmosphere has been used for unequal distribution, which is almost the same as that of incomes in a country with the biggest gap between the rich and the poor in the world. The carbon equity should be an urgency and priority in the climate agenda. Carbon Gini index established in this paper can be used to measure inequality in the distribution of carbon space and provide a quantified indicator for measurement of carbon equity among different proposals.

Security in gas discharge while unsealing a closed stope

Given the problem of harmful gas discharge in unsealing coal mining faces, we numerically simulated the process of change of gas flows and movements, We have pointed out that, at the moment of unsealing a closed stope, the gas discharge is naturally divided into two parts, i.e., the discharge of gas in the working face and that in the goaf, because of the difference in the spatial medium. The absolute volume of gas discharged has a tendency to decrease from its initial peak value to a final stable value. The rate of decrease and the time needed to reach a stable discharge are related to the scale of the mining stope. The discharge of gas from the working face is closely related to the amount of air distributed in the air return way. The most important thing in unsealing a stope is to have the initial peak volume of gas discharged well under control. A commonly used method in solving this problem is at first to use a small amount of air and then increasing it gradually. Our study shows that, by extracting gas from the upper corner, we can use a large volume of air at first in order to shorten considerably the discharge time and improve efficiency, thereby making mining, activitv safer.

基于CMAQ模式的自适应“nudging”源反演方法的中国主要污染区排放特征分析

中国中东部地区的空气污染主要集中在京津冀、长三角、珠三角、东北地区及汾渭平原等区域,各区域的污染排放特征各异.本文应用基于CMAQ(The Community Multiscale Air Quality)模式的自适应“nudging”源反演方法,反演中国中东部地区2016年12月—2017年1月逐日NOx污染源,分析上述主要污染区的污染物排放强度空间分布特征,并与2016年MEIC(The Multi-resolution emission inventory for China)排放源进行比较,检验反演源的可靠性.结果表明,2016年冬季各个区域反演源NOx排放强度空间分布特征与2016年MEIC排放源基本一致.京津冀地区高强度排放区域形成沿山前区域东北-西南走向的NOx高强度排放带;长三角地区NOx高强度排放区域位于常州、苏州、上海和湖州等城市构成的城市群;珠三角地区NOx高强度排放区域位于以广州为中心的大范围城市群且排放强度呈现向四周逐渐降低的放射状分布;东北地区NOx高强度排放区域空间分布特征呈现以城市为中心且稀疏分布;汾渭平原排放区域呈现以城市为中心且向峡谷中间集中分布,排放区域轮廓与汾渭平原狭长的新月状相符.