基于复杂工业源强分析模型的城市型炼厂安全防护距离研究

基于复杂工业源强分析模型,结合现场监测、风洞实验及数值模拟技术,确定模型系数,建立定量化的源强分析模型;根据源强分析得到的厂界VOCs整体扩散浓度,计算得到大气环境防护距离;利用FLACS软件分析得到事故状态下最大影响范围。整合分析结果得到可供企业参考的安全防护距离预判体系,形成解决国内"城市型炼厂"现存安全环保问题的成套量化评估分析技术。

房地产项目地下车库汽车尾气污染物源强分析

随着房地产的开发,地下车库汽车尾气排放对人们的影响也在加剧。以赣州市某住宅小区地下车库为案例,将汽车尾气排放实测数据与环评工作中常用的经验预测公式进行对比分析,同时分析评价时所采用的空气质量标准,以期为该类项目的环评提供参考。

基于Visual MODFLOW的西北某铜金属冶炼项目地下水环境影响预测模拟

以西北某铜金属冶炼项目为研究对象,在水文地质勘察基础上,运用Visual MODFLOW建立地下水水流模型和溶质运移耦合模型,分析该铜冶炼厂在非正常工况废酸泄露条件下特征污染物在地下水环境中的迁移规律。预测表明,在整个模拟期内,SO42-污染晕随地下水流动而迁移,其浓度和污染范围先增加后减小。两口下游虚拟观测井监测结果显示,SO42-污染物浓度均低于标准要求。地下水环境影响预测模拟有助于企业减少地下水污染的风险,确保生产质量安全。

The Convergence Analysis on the Economic Growth and Energy Intensity Gap between Regional Sectors

In this paper,the authors have analyzed the relationship between energy intensity gap and GDP per worker gap of China's western and eastern provinces over the period 1997-2006.Using panel data model with lag adjustment,taking the above provinces and six industrial sectors (agriculture,forestry,animal husbandry,and fisheries,industry,construction industry,transport,storage and post & telecommunications,wholesale and retail trades & catering industry,and other sectors of tertiary industry.) as the investigated subjects,the authors have conducted empirical study on the convergence of GDP per worker gap and the convergence of energy intensity gap with respect to the variation of GDP per worker gap,and have concluded that:First,the GDP per worker gap of the six industrial sectors and provinces are convergent,and of this,the convergence rate of GDP per worker gap of Construction Industry is the fastest,while that of Industry is the slowest.Second,the overall energy intensity gap between eastern and western provinces is convergent,that is,with the narrowing of GDP per worker gap between eastern and western provinces,the energy intensity gap converges,but its convergence rate is slower than that of GDP per worker gap.Third,energy intensity gap between various industrial sectors of the east and the west is either convergent or divergent,and there are differences.The energy intensity gap of agriculture,forestry,animal husbandry,and fisheries,industry,and construction industry is convergent,while that of the other three industrial sectors is divergent.Fourth,the convergence of the overall energy intensity of the western provinces is not in conformity with the convergence of the various industrial sectors,and there are significant differences,indicating that the western provinces and autonomous regions should take measures to more effectively improve their overall energy utilization efficiency at the industrial sector level.

An International Comparative Analysis on China's Economic Growth and the Convergence in Energy Intensity Gap and Its Economic Mechanism

In this paper,the authors have empirically analyzed the convergence in per capita GDP gap and the convergence in the variation of energy intensity with respect to the change of per capita GDP between China and eight developed countries.Then,the authors run a regression on the impact of decisive factors of economic growth on energy intensity and its change,so as to find out the economic mechanism of energy intensity gap changing with respect to the variation of economic growth.This study concludes that:First,there is a convergence in per capita GDP gap between China and the eight developed countries.With the convergence in per capita GDP gap,the energy intensity gap between China and eight different countries also converge,and the convergence rate of the latter is faster than that of the former,i.e.if the per capita GDP gap between China and the eight developed countries decreases by 1%,the energy intensity gap between them will correspondingly decrease by 1.552%.Second,the energy intensity decreases with the improvement of industrial structure,the rising of energy prices,the advances of technology,and the expansion of investment in fixed assets,and it slightly increases with the increase of FDI.Third,the energy intensity gap between China and eight developed countries narrows with the lessening of the difference in fixed assets investment,energy prices,and technological progress between China and eight developed countries,yet increases with the narrowing of the difference in FDI,and has no significant correlation with the difference in industrial structure.Fourth,the narrowing of difference in per capita GDP between China and the eight developed countries can result in the lessening of energy intensity gap,whose economic mechanism is that the decisive factors,such as difference in investment,technology,and the competition mechanism of prices,which can determine the difference in economic growth,can significantly affect the energy intensity gap.

Strategic Measures to Reduce China's Carbon Emissions: Based on an Index Decomposition Analysis of Carbon Emissions in Eight Industries

This article uses the refined Laspeyres index decomposition method to examine the overall trends and characteristics of carbon emissions in eight Chinese industries for the period 1994-2008. The results show that every one percentage point increase in economic scale will result in an average increase of 15 Mt （million tonnes） in carbon emissions. However, different industries vary greatly in terms of marginal carbon emissions caused by economic growth. The economic structure＇s bias toward heavy industry fuels the increase of carbon emissions： every one percentage point rise in the share of manufacturing industry produces an average of 56 Mt carbon emissions. Technological progress helps reduce energy intensity and serves as a core driver in reducing carbon emissions, in that every one percentage point decrease in energy intensity will cause an average reduction of 33 Mt in carbon emissions. Our coal-dominated energy structure has resulted in a persistently high level of carbon emissions, suggesting that the reduction effect brought about by changes in energy structureis not significant. Nevertheless, lowering the density of overall carbon emissions is a positive signal, indicating that China is optimizing its energy structure. Only by promoting industrial restructuring, optimizing energy structure, encouraging energy-saving technologies and technological innovation, and reorienting industry can China achieve low-carbon development and control pollution.