Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.     

京津冀地区面向人居环境之水安全格局初探

采用文献法对近年京津冀水资源、水环境、水污染、水灾害、水管理等水安全情势进行相关数据分析,从总体上显示出水危机问题和京津冀地区快速城市化发展的关联性.结果表明:1)京津冀城市群必须向节水型社会模式转型;2)建立区域及城市间的协调机制,才能有效克服流域与区域等级的水问题;3)实现京津冀地区水安全格局的治理行动计划网络,提出保护恢复体系、净化循环体系、限制节约体系、调度再造体系、蓄滞防洪减灾体系五大体系.     

北京河流水污染现状分析研究

通过总结近年来北京河流中氮磷、有机质和重金属等方面的研究成果,结果表明北运河水系各河段水质均较差,劣Ⅴ类水质的河流长度超过80％,城市河流污染特征明显,主要污染指标为耗氧型有机污染物和氨氮,重金属污染较轻,悬浮物中的重金属占较大的比重;永定河水系枯水期氮污染较重,主要是硝态氮超标,以颗粒态磷为主要形式的磷污染较轻,重金属含量大都低于地表水Ⅲ类标准;潮白河水系水质较好,各水质指标除个别断面外大都满足中Ⅲ类水标准,重金属含量大都符合Ⅰ～Ⅲ类水标准。     

北京10个常绿树种颗粒物吸附能力研究

大气中颗粒物PM(particulate matter)不仅造成环境污染,还对人体造成严重的危害.城市绿色植物作为大气过滤器,能够有效地提高城市空气质量,保护人体健康.因此了解不同树种对空气颗粒物的吸附滞纳作用是必要的.以北京植物园10种常绿植被为研究对象,应用空气气溶胶再发生器(QRJZFSQ-I)测定了北京市常见6种乔木和4种灌木叶片对空气总悬浮颗粒物(TSP)、PM10、PM2.5和PM1.0的吸附能力.结果表明:1不同树种叶片表面附着颗粒物的能力差异明显,最高的是雪松(Cedrus deodara)和油松(Pinus tabuliformis),吸附量分别是(18.95±0.71)μg·cm-2和(14.61±0.78)μg·cm-2,冷杉(Abies fabri)最小,为(8.02±0.4)μg·cm-2;2不同树种叶片单位面积对不同颗粒物的附着能力也存在差异,附着PM10能力最强的是油松和雪松,附着PM2.5能力最强的是雪松、铺地柏(Juniperus procumbens)、龙柏(Juniperus chinensis cv.kaizuka)和油松,附着PM1.0能力最强的是雪松、铺地柏、冷杉和油松;3不同月份叶片上附着的各粒级颗粒物(PM10、PM2.5)占TSP的比例不同.其中PM10在4~6月之间主要表现两种变化趋势,一是先上升后下降,主要为灌木树种;二是逐渐上升,主要的树种是乔木树种.而PM2.5则没有这种明显的变化趋势.     

2000~2020年京津冀BVOCs排放量估算及时空分布特征

为研究京津冀地区天然源挥发性有机化合物(BVOCs)近20a排放量及时空分布特征,本文基于卫星遥感解译获得的2000年、2005年、2010年、2015年、2020年共5期中国土地利用数据,计算获得了京津冀地区各市县BVOCs排放量及排放组成,同时对京津冀地区近20a的BVOCs排放的时空分布进行了特征分析.结果表明,近20a京津冀地区BVOCs平均排放总量为76.40万t/a,其中河北省、北京市、天津市的平均排放总量分别为59.11万t/a,15.29万t/a,2.00万t/a;按照排放组成分析,ISOP平均排放总量为16.80万t/a,占总排放量的21.99%,TMT平均排放总量为29.62万t/a,占总排放量的38.77%,OVOCs平均排放总量为29.97万t/a,占总排放量的39.23%.根据排放时间特征分析,京津冀地区冬季BVOCs排放量最低、夏季BVOCs排放量最高.BVOCs排放的空间分布与土地利用类型和植被分布密切相关,不同土地利用类型的BVOCs排放贡献具有显著差异,近20a京津冀地区林地、耕地、草地的BVOCs平均排放量分别为60.33万t/a,12.78万t/a,2.31万t/a,分别占总排放量的78.90%,16.79%,3.04%.京津冀地区BVOCs空间排放分布差异比较明显,北部、东北部的整体排放量明显高于南部、东南部.本研究可为BVOCs的计算提供研究思路,同时可为京津冀地区空气污染治理提供有关基础数据.     

Comprehensive Assessment and Promotion Policy of Producer Services’ Competitiveness in Beijing City:A Comparative Analysis among Beijing,Tianjin,Shanghai,Guangzhou and Shenzhen

The five central cities-Beijing,Tianjin,Shanghai,Guangzhou and Shenzhen-of the three most important strategic regions in China,namely Beijing-Tianjin-Hebei metropolitan region,the Yangtze River Delta and the Pearl River Delta,are taken as a comparative analysis on urban producer services’ competitiveness,especially focusing on the comparative advantages and disadvantages of producer services in Beijing.Firstly,based on an integrated indicator system including one objective hierarchy,four standard hierarchies and 35 indicator hierarchies,the study applies factor analysis model and analytic hierarchy process model reformed by entropy technology to measure the comprehensive competitiveness of producer services in the above five cities.Secondly,Beijing has comparative advantages of capital resource,industrial base,scientific research resource and market scale,since it takes the first place of the five cities in the comprehensive competitiveness of producer services,the competitiveness of industrial development,business environment and living environment,only inferior to Shanghai in the competitiveness of talent capital.Thirdly,Beijing has comparative disadvantages in the level of producer services development,urban innovation capability and living environment.Finally,five proposals are put forth to enhance the competitiveness of producer services in Beijing,namely perfecting the system of laws and statutes,supporting the development of industry association,implementing scientific development planning,introducing preferential fiscal and taxation policies and strengthening human capital reserve.     

北京市人口老龄化的时空变化特征

人口老龄化现已成为当今主要的人口问题之一,并引起越来越多的关注,人口老龄化进程与老年人口空间分布特征研究是未来人口问题研究的一个重要分支.本文基于ESDA全局和局部空间自相关分析,利用北京市第四次和第五次人口普查数据以及1995和2005年1％人口抽样调查数据,对北京市县域尺度老龄人口分布总体和局部空间差异的变化趋势、特征进行了初步探索.结果表明,北京市老龄人口空间分布各区县差异较大,且呈现出明显的圈层结构特征,中心四城区老龄人口比重较高,近郊区老龄人口比重较全市平均水平低,远郊区老年人口比重又有所回升；同时,北京地区老年人口各区县的空间分布差异随着时间的推移而不断扩大,中心老城区呈现不断增强的集聚趋势,而远郊区的老年人口扩散效应明显大于集聚效应.     

北京山区主体功能区协调发展的区域背景分析

主体功能区划主要在于解决区域问题，用科学发展观协调区域发展。本文从区域发展的整体性出发，用空间发展的相互作用理论分析了北京山区各主体功能区协调发展的区域背景。     

生态工业园评价方法研究:以北京市为例

建立科学有效的评价方法将有助于稳步推进我国的生态工业园建设．而园区所处区域的特点对于评价指标的选择和评价体系的建立具有重要影响。本研究在借鉴国内外最新研究成果的基础上．针对北京工业开发区的发展现状和特点．考虑相关性、可操作等原则，初步提出了一套生态工业园评价指标体系框架及其计算评价方法。评价指标共分为6大类准则，共计25个具体指标．划分为“控制性”指标和“指导性”指标。前者包括：信息基建共事类指标、管理与发展类指标、减量消耗类指标、园区环保类指标。后者包括：循环利用类指标和产业共生类指标。该指标体系蕴涵的思想和理论方法已成为推进北京生态工业园建设的重要借鉴，也可作为国家生态工业园评价方法研究的有益补充。     

Characteristics and recent trends of sulfur dioxide at urban, rural, and background sites in North China: Effectiveness of control measures

SO₂ measurements made in recent years at sites in Beijing and its surrounding areas are performed to study the variations and trends of surface SO₂ at different types of sites in Northern China. The overall average concentrations of SO₂ are (16.8 ± 13.1) ppb, (14.8 ± 9.4) ppb, and (7.5 ± 4.0) ppb at China Meteorological Administration (CMA, Beijing urban area), Gucheng (GCH, relatively polluted rural area, 110 km to the southwest of Beijing urban area), and Shangdianzi (SDZ, clean background area, 100 km to the northeast of Beijing urban area), respectively. The SO₂ levels in winter (heating season) are 4-6 folds higher than those in summer. There are highly significant correlations among the daily means of SO₂ at different sites, indicating regional characteristics of SO₂ pollution. Diurnal patterns of surface SO₂ at all sites have a common feature with a daytime peak, which is probably caused by the downward mixing and/or the advection transport of SO₂-richer air over the North China Plain. The concentrations of SO₂ at CMA and GCH show highly significant downward trends (-4.4 ppb/yr for CMA and -2.4 ppb/yr for GCH), while a less significant trend (-0.3 ppb/yr) is identified in the data from SDZ, reflecting the character of SDZ as a regional atmospheric background site in North China. The SO₂ concentrations of all three sites show a significant decrease from period before to after the control measures for the 2008 Olympic Games, suggesting that the SO₂ pollution control has long-term effectiveness and benefits. In the post-Olympics period, the mean concentrations of SO₂ at CMA, GCH, and SDZ are (14.3 ± 11.0) ppb, (12.1 ± 7.7) ppb, and (7.5 ± 4.0) ppb, respectively, with reductions of 26%, 36%, and 13%, respectively, compared to the levels before. Detailed analysis shows that the differences of temperature, relative humidity, wind speed, and wind direction were not the dominant factors for the significant differences of SO₂ between the pre-Olympics and post-Olympics periods. By extracting the data being more representative of local or regional characteristics, a reduction of up to 40% for SO₂ in polluted areas and a reduction of 20% for regional SO₂ are obtained for the effect of control measures implemented for the Olympic Games.