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利用2014年12月至2015年11月常州市区6个国控监测站空气污染物浓度逐时数据,分析了PM_(2.5)浓度季节变化特征,采用增强回归树模拟分析了PM10、4种气态污染物和7个气象因子对ρ(PM_(2.5))日变化的贡献.结果表明,常州市区PM_(2.5)污染季节差异明显,冬季污染严重且持续时间长,夏季污染较轻.四季ρ(PM_(2.5))空间分布特征存在一定差异,但各季内不同监测站差异较小.增强回归树对ρ(PM_(2.5))日均值进行模拟和验证得到,训练数据的相关性为0.981,交叉验证的相关性为0.957.此外,模拟值与实测值的标准化平均偏差为1.80%,标准化平均误差为10.41%,可见模型拟合效果较好.PM10、气态污染物、气象因子和区域输送及扩散这4种影响类型对全年ρ(PM_(2.5))日均值差异的贡献率分别为23.4%、28%、36.2%和12.6%,表明在对ρ(PM_(2.5))日均值差异的影响上,气象因子二次形成一次源区域输送及扩散.在对ρ(PM_(2.5))日均值差异贡献率大于5%的因子中,ρ(PM_(2.5))日均值与PM10、相对湿度、CO和O3正相关,与温度、SO2和混合层高度负相关,与大气压和NO2关系较复杂.区域输送及扩散方面,东南风向、偏西风向和偏北风向等上风向周边城市的污染物输送对常州市区PM_(2.5)污染存在较大的负面影响. 相似文献
134.
基于城市功能区划分的道路机动车大气污染物排放清单研究——以厦门市海沧区为例 总被引:2,自引:0,他引:2
道路机动车尾气排放是造成城市近地面空气污染的主要原因之一,建立基于城市功能区划分的道路机动车大气污染物排放清单对改善中观尺度的城市空气质量具有重要辅助作用.本文以厦门市海沧区为例,基于城市功能区划分方法,结合各功能区内监测道路的机动车通行量实测数据,建立道路机动车大气污染物排放清单,并分析各功能区道路机动车大气污染物排放特征.结果发现,海沧区道路机动车尾气排放物中CO的排放贡献率最高,工业区和居住区的道路机动车大气污染物排放量对海沧区的空气污染贡献率最大,海沧区夜间大气污染物的主要排放源来自于工业区道路机动车大气污染物排放;生态服务区及公共管理与公共服务区的道路机动车排放特征受相邻工业区机动车大气污染物排放的影响较为显著.研究表明:城市功能区分布欠合理是导致道路机动车大气污染物高排放量的重要原因之一;基于城市功能区划分构建道路机动车大气污染物排放清单的研究方法,不仅可为中观尺度下的城市大气污染排放情况提供有效的调查途径,而且能为城市功能格局的合理规划提供重要的理论依据. 相似文献
135.
针对城市热岛效应引起城区浅层土地温场升高这一观测结果,采用室内快速模拟试验方法,对城区酸性土壤腐蚀混凝土材料的温度效应开展了试验研究.试验研究了在温度为5℃、20℃和40℃条件下,混凝土试样在酸浓度分别为0%、5%和10%的沙土介质中放置30 d、90 d后的抗压强度变化规律,并对混凝土试样在腐蚀过程中的腐蚀系数变化规... 相似文献
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基于现代信息技术的城市灾害应急管理系统 总被引:6,自引:0,他引:6
城市灾害应急管理系统是一项复杂的大系统工程。本文着重从应急管理过程中的应急资源调配、应急预案制定等方面阐述了现代信息技术在城市灾害应急管理中的应用与优势。认为应急管理信息系统的建立目的不是为了预测和估算,而应是当灾害发生时,对已造成的灾情局面做出快速的辅助决策支持。基于此,利用SuperMapObject5.0,Visual Basic6.0,SQL Server2000等现代信息技术软件,以辅助决策、资源快速查询以及生命线管网易损处调查为目的,本文建立了一个局部地区灾害应急管理信息系统。系统的数据库建立更突出了为应急管理服务所需的基础信息、空间数据、应急预案和应急资源等信息划分方式;结合已有的震害预测理论和方法,开发了供水系统和交通系统的震害预测模块,事先为灾害应急决策提供可能的震害信息。系统的开发过程进一步证明了GIS在城市灾害应急管理中有着直观显示、容易操作、辅助准确决策等优势。 相似文献
138.
Marcos A. dos Santos Cynthia F. Illanes Adalgiza Fornaro Jairo J. Pedrotti 《Water, Air, & Soil Pollution: Focus》2007,7(1-3):85-92
During the period from July 2002 to June 2004, the chemical characteristics of the rainwater samples collected in downtown São Paulo were investigated. The analysis of 224 wet-only precipitation samples included pH and electrical conductivity, as well as major ions (Na+, $ \rm NH^{ + }_{4} During the period from July 2002 to June 2004, the chemical characteristics of the rainwater samples collected in downtown
S?o Paulo were investigated. The analysis of 224 wet-only precipitation samples included pH and electrical conductivity, as
well as major ions (Na+, , K+, Ca2+, Mg2+, Cl−, , ) and carboxylic acids (acetic, formic and oxalic) using ion chromatography. The volume weighted mean, VWM, of the anions
, and Cl− was, respectively, 20.3, 12.1 and 10.7 μmol l−1. Rainwater in S?o Paulo was acidic, with 55% of the samples exhibiting a pH below 5.6. The VWM of the free H+ was 6.27 μmol l−1), corresponding to a pH of 5.20. Ammonia (NH3), determined as (VWM = 32.8 μmol l−1), was the main acidity neutralizing agent. Considering that the H+ ion is the only counter ion produced from the non-sea-salt fraction of the dissociated anions, the contribution of each anion
to the free acidity potential has the following profile: (31.1%), (26.0%), CH3COO− (22.0%), Cl− (13.7%), HCOO− (5.4%) and (1.8%). The precipitation chemistry showed seasonal differences, with higher concentrations of ammonium and calcium during
autumn and winter (dry period). The marine contribution was not significant, while the direct vehicular emission showed to
be relevant in the ionic composition of precipitation. 相似文献
139.
Zhalong National Nature Reserve in the northeast of China is a large wetland and a habitat of hundreds species of fauna and
flora. The rare red-crowned crane is one kind of endangered birds in it. Recently, Zhalong wetland is shrinking and it encounters
many problems including occasional fires, bad water quality, human activities, etc. In order to find out a proper way to protect
and restore the wetland, this study, using a geographic information system, the global positioning system and remote sensing
techniques, analyses the spatial characteristics of the changes in marsh landscape pattern and examines the driving factors
for these changes. Data sources include 8 Landsat Thematic Mapper satellite images of Zhalong area in the period of 1986–2002
and the investigation information on site. Based on the analysis of changes of marsh area and annual precipitation during
the 16 years, it is found that there is a close correlation between annual precipitation and marsh area. It means that climate
is one of driving factors of marsh pattern changes. To understand influences of other kinds of land uses on marsh spatial
distribution in Zhalong wetland, this paper analyses the relationship between marsh and different kinds of land uses, such
as water surface, residential area, farmland, salina land and grass land, respectively. According to the patch analysis theory,
a fragmental index and a fractal dimension of the marsh are calculated with perimeter-area method. The results indicate that
the marsh pattern is affected by human activities significantly. In addition, the location alteration of marsh centroid point
over the 16 years is studied. The movement trace of marsh centroid point is concerned with different hydrological situation
in different areas of the wetland. In summary the characteristics of the marsh landscape pattern evolution during the 16 years
are affected by multiple driving factors. The main driving factors are climate, human activities, distribution of other kinds
of land uses and hydrological situation in different areas. 相似文献
140.
The need for accurate carbon budgeting, climate change modelling, and sustainable resource management has lead to an increase
in the number of large area forest monitoring programs. Large area forest monitoring programs often utilize field and remotely
sensed data sources. Sampling, via field or photo plots, enables the collection of data with the desired level of categorical
detail in a timely and efficient manner. When sampling, the aim is to collect representative detailed data enabling the statistical
reporting upon the characteristics of larger areas. As a consequence, approaches for investigating how well sample data represent
larger areas (i.e., the sample neighbourhood and the population) are desired. Presented in this communication is a quantitative
approach for assessing the nature of sampled areas in relation to surrounding areas and the overall population of interest.
Classified Landsat data is converted to forest/non-forest categories to provide a consistent and uniform data set over a 130,000 km2 study region in central British Columbia, Canada. From this larger study area 322 2 × 2 km photo plots on a 20 × 20 km systematic
grid are populated with composition and configuration information for comparison to non-sampled areas. Results indicate that
typically, within the study area, the spatial pattern of forest within a photo plot is representative of the forest patterns
found within primary and secondary neighbourhoods and over the entire population of the study. These methods have implications
for understanding the nature of data used in monitoring programs worldwide. The ability to audit photo and field plot information
promotes an increased understanding of the results developed from sampling and provides tools identifying locations of possible
bias. 相似文献