国内大城市煤改气工程的费用-效益分析

国内大城市以PM10和SO2为主要污染物的煤烟型污染十分严重,因而天然气作为煤的清洁替代品已越来越受到人们的重视。过去天然气作为宝贵的战略资源多被用作化工原料,而对是否应将其作为城市民用燃料存有争论。本研究以北京和重庆为案例城市,对大城市中实施大规模的“煤改气”工程进行了详尽的费用－效益分析（CBA）。其中,采用Rowe与Ostro的剂量－反应函数详细估算了天然气替代煤后产生的外部效益。结果表明,在人口和经济活动高度集中的大城市,使用天然气作民用燃料能有效降低非点源大气污染物排放和低空污染物浓度,产生明显的环境效益,因而具有显著的效益－费用比较优势。最后,本文对激励天然气在大城市的推广提出了环境经济政策建议。     

可持续发展与战略环境评价

可持续发展的实施需要具体的手段和方法。在对可持续发展和战略环境评价（SEA）的概念、内涵和特征进行概略分析的基础上,通过分析两者之间的内在联系,着重考察以SEA实施可持续发展的理论依据和方法。结果表明：SEA能为实施可持续发展提供整体性方法,全面考虑战略替代方案,系统分析累积环境影响,建立环境监控计划及运用适应性环境管理方法,扩展决策过程中的公众参与。认为SEA是实施可持续发展的一种重要工具。为了贯彻实施我国的可持续发展战略,应在我国进一步开展SEA的理论和实践研究。     

紫木凼金矿开采过程中的环境效应:2.污染趋势分析

主要对紫木凼金矿区CN- 、As、Hg、Pb、Zn五个污染项目进行了趋势分析和污染预测。氰化物虽然是剧毒污染物 ,但它具有很强的自净降解作用 ,对矿区的污染影响不大 ,只是对于废液池的清洗外排必须先治理后排放。建立了As、Hg、Pb、Zn在各个污染途径中的定量分配模式。该模式表明 ,开采过程中As、Hg、Pb的大部分 ( 64 %以上 )进入废液池外排 ,其余的进入矿渣。在此基础上 ,对这些元素从 1 989年到 2 0 0 0年的开采总量、进入废液、土壤、积水坑的分量进行了计算 ,并给出了在堆场下伏粘土中各元素的饱和吸附量和开始外排的时间。     

大气飘尘对大鼠肺细胞的毒性比较

采用大白鼠气管内注入飘尘后分析肺灌洗液的方法，比较了上海不同地区飘尘对大鼠肺细胞的毒性；再运用毒性指数及效应指数，综合评价了上海市不同地区大气飘尘污染的状况。研究表明：从肺灌洗液的生化成份分析及细胞分类显示，以彭浦新村、隆昌路平凉路、康定路胶州路３个点的飘尘毒性较大。综合评价结果，彭浦新村的效应指数最大，以后依次为康定路胶州路、鲁班路斜土路、青云路、隆昌路平凉路等。     

印尼8.7级和8.5级强震后江苏体应变同震效应分析

2004年12月26日和2005年3月29日在印尼苏门答腊北部分别发生8.7级和8.5级强烈地震后,对江苏地区前兆体应变资料进行分析发现,在这两次地震的震后都记录到了显著的异常,且异常的表现形式各不相同。本文列出这些异常并浅析,以期对进一步深入研究印尼大震对我国未来地震趋势的影响有所帮助。     

车站、机场、码头火灾风险管理定量方法的研究

在对车站、机场、港口等旅客站点火灾风险因数识别的基础上，提出火灾风险定量管理模型，经验和研究证明，该模型十分有效，是火灾风险定量管理的一个有效可行的工具，对火灾风险管理的方法进行了阐述／。     

三维电极电解硝基苯废水处理实验研究

以涂膜活性炭-活性炭为填充粒子,对三维电极电解硝基苯废水进行了研究。通过实验探讨了投盐量、槽电压、主电极间距、反应时间及初始浓度对电解硝基苯废水的影响。结果表明,三维电极在电极间距为9mm、槽电压为20V、硫酸钠投加量为1.5g/L、pH值为6、电解时间为90min的条件下,硝基苯去除率可达90%以上。在三维电极电解作用下,硝基苯转化为可生化和低毒的苯胺,苯胺在三维电极电解作用下还可以得到进一步的降解。     

数字城市中的气象灾害预警对策

提出数字城市中有效的气象灾害预警是:在恰当的时机,以有效的方式,向处于风险之中的人群或单位提供有针对性的预警信息;判断的原则是:气象灾害的有效预报时间要大于预警系统的响应时间.数字城市中气象灾害预警的基本对策是:天气监测实时化、预警预报精细化、传播渠道多样化和信息服务个性化.     

Carbon dioxide emissions from cities in China based on high resolution emission gridded data

Based on the China high resolution emission gridded data (1 km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO₂) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO₂ emissions, including scope 1 and scope 2. Cities with higher CO₂ emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO₂ emissions are in the western region. Cites with higher CO₂ emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO₂ emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO₂ emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO₂ emissions. The majority (77%) of cities have annual CO₂ emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO₂ emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO₂ emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO₂ emissions of industrial cities. The distribution interval of per capita CO₂ emission of other cities is the lowest, indicating smaller differences of per capita CO₂ emissions among this city category. Three policy suggestions are proposed: first, city CO₂ emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partitioning the national goal should be established, using a bottom-up approach based on specific CO₂ emission levels and potential for emission reductions in each city. Third, comparative and benchmarking research on city CO₂ emissions should be conducted, and a Top Runner system of city CO₂ emission reduction should be established.     

A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.