搜索结果: 1-13 共查到“环境科学技术基础学科 PM10”相关记录13条 . 查询时间(0.093 秒)
PM2.5与PM10的时空分布特征及其相关性是大气颗粒物研究的主要内容,传统方法是基于监测站点数据进行分析,难以揭示PM2.5与PM10时空分布的区域特征.为此,本文利用地理加权回归模型估算了2016年新疆地区PM2.5与PM10的月均浓度,在此基础上对区域尺度的PM2.5与PM10浓度特征进行分析.结果表明:地理加权回归相较最小二乘回归的拟合精度更高,PM2.5和PM10的决定系数分别为0.93...
Characterization of Dicarboxylates and Inorganic Ions in Urban PM10 Aerosols in the Eastern Central India
Particulate matter Meteorological variables Water-soluble ions Seasonal variation Source identification
2016/3/25
Size-segregated aerosol samples were collected continuously from July 2009 to June 2010 at urban area of Raipur, the
eastern central India. The collected samples were analyzed for PM10 mass and its w...
利用北京地区2012年1-12月NASA MODIS气溶胶光学厚度(AOD)和通过空气污染指数(API)转换得到的PM10质量浓度进行了相关性分析.结果发现,二者的直接相关程度较低,在引入季节变化的气溶胶标高且考虑了气溶胶的垂直分布后,进行标高订正,二者的相关系数有所提高;在考虑了湿度影响因子后,进行湿度订正,二者的相关系数显著提高;引入平均风速、平均气温和平均气压等气象因素,进行多元回归分析,相...
2012年9月在天津市城市交通密集区(八里台、海光寺公交车站)采集可吸入颗粒物(PM10)样品,并对采集的样品进行有机分析.在此基础上, 针对公交车站候车的成年人群,应用美国EPA开发的电子数据库IRIS(Integrated Risk Information System),对可吸入颗粒物中的多环芳烃(PAHs)成分进行了健康风险评估.暴露采样的分析结果表明,两车站的PM10暴露浓度均值分别为(...
不同季节大气可吸入颗粒物(PM10)诱导小鼠原代培养神经元炎性及其级联损伤效应
可吸入颗粒物(PM10) 原代神经元 炎性因子 Ca2+/钙调蛋白依赖性蛋白激酶Ⅱα 环磷腺苷效应元件结合蛋白 即早基因
2015/3/1
为了探讨不同季节可吸入颗粒物(PM10)对神经元的损伤效应,本研究通过建立小鼠大脑皮层原代神经元体外染毒模型,考察了不同季节PM10对炎性因子诱导型一氧化氮合酶(iNOS)、环氧化酶-2(COX-2)和黏附分子(ICAM-1)表达水平的影响,并探讨了与之耦联的磷酸化Ca2+/钙调蛋白依赖性蛋白激酶Ⅱα(p-CaMKⅡα)、环磷腺苷效应元件结合蛋白(p-CREB)及即早基因(c-jun、c-fos)...
兰州市大气PM10中重金属和多环芳烃的健康风险评价
重金属 多环芳烃 健康风险评价
2013/11/8
以现场采样监测和问卷调查方式,结合美国环保局推荐的健康风险评价模型,对兰州市大气PM10中重金属、PAHs及其健康风险进行了研究.结果表明:兰州市大气PM10中重金属和PAHs具有明显的季节特征,冬季高于夏季;人群对重金属和PAHs的日均暴露剂量在9.60×10-5~1.06×10-3 mg·kg-1·d-1之间,儿童的日均暴露剂量高于成人,男性高于女性;Zn和4环及4环以上的PAHs对总暴露剂量...
Source Characterization and Apportionment of PM10, PM2.5 and PM0.1 by Using Positive Matrix Factorization
ositive matrix factorization Enrichment factor analysis Conditional probability function analysis
2016/3/25
Ambient Particulate Matters (PM10, PM2.5 and PM0.1) were investigated at Shinjung station in New Taipei City, Taiwan.
Samples were collected simultaneously using a dichotomous sampler (Andersen Model...
沙尘 PM10质量浓度与气温的关系初探
气温 沙尘 PM10浓度 统计关系
2013/1/28
利用甘肃民勤自动气象站观测的 2004~2006年夏季的 5min一次的气温与沙尘 PM10浓度资料,通过将数据分为实验组与对照组,研究了气温与沙尘天气之间的统计关系。个例显示,气温与沙尘 PM10浓度之间存在降温、升温和混合型 3种对应关系。实验组统计分析表明,气温及其变化(每 5min间隔气温变化绝对值和每 24h间隔气温变化绝对值)与沙尘 PM10浓度及其变化呈现出非常显著的正相关关系;沙尘...
Application of a Combined Model to Study the Source Apportionment of PM10 in Taiyuan, China
Receptor model PCA/MLR-CMB PM10 Source appointment Coefficient of divergence
2016/3/29
Twenty four-hour averaged concentrations of ambient PM10 were collected in Taiyuan, China from April 2001 to
January 2002. A sum of 14 chemical species in PM10 was analyzed and a combined receptor mo...
Characterization and Source Identification of PM10-bound Polycyclic Aromatic Hydrocarbons in Urban Air of Tianjin, China
PAHs PM10 Diagnostic ratios PCA Sources
2016/3/29
PM10 samples were collected at six sampling sites in city center of Tianjin from April 2008 to January 2009. The
concentrations of 17 selected polycyclic aromatic hydrocarbons (PAHs) in PM10 were qua...
Investigation of Variation in Ambient PM10 Levels within an Urban-Industrial Environment
Ambient particulate Source-receptor relationship Seasonal variation Urban area
2016/3/30
Major factors responsible for variation occurring in ambient particulate levels in urban areas are,
growing of a number of stationary and mobile sources of particulate matter and meteorological
para...
Modeling and Analysis of Source Contribution of PM10 during Severe Pollution Events in Southern Taiwan
TAPM Particulate matter PM10 Air pollution modeling Source contribution Meteorological condition
2016/3/29
This work simulates the hourly variations of PM10 (suspended particles with diameter < 10 1048656;m)
during severe pollution events in southern Taiwan (Kaohsiung City and Pingtung County) in spring...
The temporal variations of PM10 concentration in Taipei: a fractal approach
box counting multifractal scaling analysis multifractal cascade model long-range dependence scale invariance
2016/3/30
A one-year series of hourly average PM10 observations, which was obtained from the urban and
national park air monitoring station at Taipei (Taiwan), was analyzed by descriptive statistics and
fract...