北京地区大气主要温室气体的季节变化

摘　要：报道了北京主要温室气体浓度最新变化情况,采用1993—2002年北京主要温室气体周平均浓度的数据,用时间序列分解的方法对其季节变化进行了分析研究,并对造成北京主要温室气体季节变化的原因进行了初步探讨。分析发现北京大气CH4的季节变化范围在－49．2×10－ 9～ 55．7×10－ 9（V／V）之间,并呈现出双峰模态;北京大气CO2浓度的季节变化范围在－26．4×10－ 6～ 34．0×10－ 6（V／V）之间;北京大气 N 2 O浓度变化没有明显的季节变化特点。     

基于时间序列法的北京市需水量预报(英文)

It is essential to establish the water resources exploitation and utilization planning,which is mainly based on recognizing and forecasting the water consumed structure rationally and scientifically.During the past 30 years(1980-2009),mean annual precipitation and total water resource of Beijing have decreased by 6.89% and 31.37% compared with those perennial values,respectively,while total water consumption during the same period reached pinnacle historically.Accordingly,it is of great significance for the harmony between socio-economic development and environmental development.Based on analyzing total water consumption,agricultural,industrial,domestic and environmental water consumption,and evolution of water consumed structure,further driving forces of evolution of total water consumption and water consumed structure are revealed systematically.Prediction and discussion are achieved for evolution of total water consumption,water consumed structure,and supply-demand situation of water resource in the near future of Beijing using Time Series Forecasting Method.The purpose of the endeavor of this paper is to provide scientific basis for the harmonious development between socio-economy and water resources,for the establishment of rational strategic planning of water resources,and for the social sustainable development of Beijing with scientific bases.     

北京市住宅用地开发压力与城市扩张预景——基于阻力面的分析

基于城市经济学的一般理论,从市场机制下的供给方视角出发,提出了预测大都市区住房建设区位选择的一个新模型,并利用2005～2009年北京市新增住宅项目的抽样空间数据进行了实证研究,进而应用阻力面模型模拟了北京市未来住宅建设用地开发压力和城市扩张的空间格局。研究表明:北京市的新增住房用地区位选择总体上符合单中心同心圆的基本模型,但正在逐渐向等级制特征下的多中心格局演化,北部、西北部区县的中心城区以及南部新城、新开发区周边更有可能成为潜在的下一轮住宅建设核心区,从而成为城市扩张的重点区域。     

城市不同下垫面的能量平衡及温度差异模拟

城市能量平衡是研究城市热岛效应的物理基础。利用北京市教学植物园2010年的实测数据,设置不同类型下垫面(植被覆盖类型:林地、草地和不透水层覆盖类型:道路、房屋),利用局地尺度城市气象参数化方案模拟并分析了相同气象条件和净辐射通量输入下,不同类型下垫面的显热、潜热通量及蒸散降温效应的差异。结果显示:(1)不同类型下垫面的各能量支出项有明显差异,植被覆盖区域和不透水层覆盖区域的波文比年均值分别为0.28和4.60,且在植被生长季差异较大;(2)城市扩展过程中道路、房屋替换林地、草地的过程,也是显热增加而潜热减少的过程。植被层向不透水层转换的过程中,显热通量年均增加32.74W/m²,潜热通量减少38.87W/m²,储热通量增加7.95W/m²;(3)理论上,植被蒸散的年降温效应使单位面积植被覆盖区域的气温比不透水层区域可低2.63℃。     

An exploratory spatial analysis of western medical services in Republican Beijing

In this paper, we reconstructed the spatial organization of Western medical services in Beijing city during the Republican period using a recently completed Republican Beijing GIS dataset. The primary objective is to explore the utility of spatial analytical methods, such as hotspot analysis and geographically weighted regression (GWR), in studying the spatial patterns of Western medical services. Our study is successful in depicting the spatial structure of Western medical services in the city. In addition, our analysis offers a preliminary but holistic view of the spatial relationships between Western medical services in the city and traditional Chinese medicine, population distribution, temple locations and industry-commerce patterns.     

城中村流动人口日常活动时空间结构——基于北京若干典型城中村的调查

在对北京5个城中村进行24 h活动日志实证调查的基础上,发现城中村流动人口在工作日和休息日的时间利用分别可以划分为6类,每一类的时间利用特征都与社会环境及该类人群的属性特征密切相关,其中工作、娱乐、家务等活动起主导作用。就城中村流动人口而言,不同类别人群工作日和休息日活动的时空间结构与其时间利用特征紧密联系,同样也受到社会环境的制约。生活活动路径展示出居民的日常活动正越来越表现出个性化、多样化和差异性的特征,是多种因素共同作用的结果。宏观环境、生活空间以及自身特征3个层次的影响因素综合作用于居民的个体行为,导致城中村流动人口活动时空间结构展现出独特的特征。基于微观个体的日常活动研究可以为掌握城市人群生活空间结构、制定城市规划等提供重要参考。     

北京市再生水灌溉对地下水的重金属污染风险

通过野外取样分析再生水灌溉、长期污水灌溉条件下土壤剖面和地下水中重金属含量, 预测再生水灌溉对地下水的重金属污染风险。结果表明:污染严重的Cr、Cu和Zn等3种元 素主要在土壤表层0～20cm累积, 0～180cm土层呈先降低后升高, 之后再降低的变化趋势。 污染较轻的As、Ni和Pb在0～60cm土层含量差异不大, 0～180cm土层大致呈先升高后降 低的变化趋势。所有重金属在土壤剖面90cm左右的土层中均存在高值区, 该层含量高于上、 下土层, 高值区的分布位置与北京剖面土壤发生层的分布特征一致, 与成土母质自然发育有 关, 并非表层土壤重金属向下淋溶沉积而成。综合土壤剖面重金属分布特征和调查区地下水 重金属浓度情况, 重金属向下层土壤迁移的趋势很小, 即使凉水河灌区污染严重的Cr、Cu、 Zn,主要在土壤表层累积, 并未导致地下水重金属污染。在当前的水质条件下, 农田再生水 灌溉输入的重金属量低于大气沉降和有机肥施用, 再生水灌溉导致地下水的污染风险小于大 气沉降和有机肥施用。因此相对于大气沉降、有机肥施用等输入途径, 再生水灌溉导致地下 水重金属污染的可能性不大。     

北京大型居住区居民通勤行为对比研究——以望京居住区和天通苑居住区为例

郊区化的过程中,居住-就业均衡性存在解体和重构的过程。以北京郊区两个大型居住区——望京居住区和天通苑居住区作为研究对象,通过问卷调查的方式获取了居民居住、就业以及通勤等方面的相关数据。研究表明:通勤时间较长是近郊大型居住区居民的共性,但由于大型居住区功能定位的差异以及所在区位和道路体系的差异,单一型居住区和混合型居住区也存在高峰通勤出行时间、通勤工具选择和通勤流向等通勤行为的差异。对这些主要影响因素加以合理规划,对解决郊区化过程造成的制住分离加剧问题具有重要作用。     

北京市低收入人群的居住空间分布、演变与聚居类型

以北京市各街区的低收入人群为研究对象,以2005年和2009年北京市大规模居民调查问卷为基础数据,综合运用数理统计、空间自相关分析和因子生态分析方法揭示北京市低收入群体的属性特征及其空间分布的特点、变化与聚居类型。研究发现:北京市低收入人群中低龄与高龄人口、中低学历及从事劳动密集型行业的人所占比重较高。从空间分布来看,低收入占比较高的街区单元主要分布在城市边缘郊区,并随着城市建设出现向外发展的趋势;与2005年相比,2009年北京市低收入人口出现了初步集聚化特征,西北五环外街道的低收入集聚强度不断提高,同时二环内的低收入集聚强度也有所增加;受CBD快速发展和奥运建设影响,北京市东部和北部的低收入人群比例大幅度降低。最后,本文总结出三类具有代表性的低收入人群聚居类型,分别为本地型、流动型和新移民型。     

A Simulation Study on the Extreme Temperature Events of the 20th Century by Using the BCC_AGCM

Extreme temperature events are simulated by using the Beijing Climate Center Atmospheric General Circulation Model (BCC AGCM) in this paper. The model has been run for 136 yr with the observed external forcing data including solar insolation, greenhouse gases, and monthly sea surface temperature (SST). The daily maximum and minimum temperatures are simulated by the model, and 16 indices representing various extreme temperature events are calculated based on these two variables. The results show that the maximum of daily maximum temperature (TXX), maximum of daily minimum (TNX), minimum of daily maximum (TXN), minimum of daily minimum (TNN), warm days (TX90p), warm nights (TN90p), summer days (SU25), tropical nights (TR20), and warm spell duration index (WSDI) have increasing trends during the 20th century in most regions of the world, while the cold days (TX10p), cold nights (TN10p), and cold spell duration index (CSDI) have decreasing trends. The probability density function (PDF) of warm/cold days/nights for three periods of 1881-1950, 1951- 1978, and 1979-2003 is examined. It is found that before 1950, the cold day/night has the largest probability, while for the period of 1979-2003, it has the smallest probability. In contrast to the decreasing trend of cold days/nights, the PDF of warm days/nights exhibits an opposite trend. In addition, the frost days (FD) and ice days (ID) have decreasing trends, the growing season has lengthened, and the diurnal temperature range is getting smaller during the 20th century. A comparison of the above extreme temperature indices between the model output and NCEP data (taken as observation) for 1948-2000 indicates that the mean values and the trends of the simulated indices are close to the observations, and overall there is a high correlation between the simulated indices and the observations. But the simulated trends of FD, ID, growing season length, and diurnal temperature range are not consistent with the observations and their correlations are low or even negative. This indicates that the model is incapable to simulate these four indices although it has captured most indices of the extreme temperature events.