Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China

Qin Shanshan; Liu Feng; Wang Chen; Song Yiliao; Qu Jiansheng

首页> 外文期刊>Atmospheric environment >Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China

【24h】

Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China

机译：应用关联规则分析和预测极端颗粒物（PM10和PM2.5）水平的时空分析：以中国京津冀地区为例

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The Jing-Jin-Ji region of Northern China has experienced serious extreme PM concentrations, which could exert considerable negative impacts on human health. However, only small studies have focused on extreme PM concentrations. Therefore, joint regional PM research and air pollution control has become an urgent issue in this region. To characterize PM pollution, PM10 and PM2.5 hourly samples were collected from 13 cities in Jing-Jin-Ji region for one year. This study initially analyzed extreme PM data using the Apriori algorithm to mine quantitative association rules in PM spatial and temporal variations and intercity influences. The results indicate that 1) the association rules of intercity PM are distinctive, and do not completely rely on their spatial distributions; 2) extreme PM concentrations frequently occur in southern cities, presenting stronger spatial and temporal associations than in northern cities; 3) the strength of the spatial and temporal associations of intercity PM2.5 are more substantial than those of intercity PM10. (C) 2015 Elsevier Ltd. All rights reserved.

机译：中国北方的京津冀地区经历了严重的极端PM浓度，这可能对人类健康产生相当大的负面影响。但是，只有少量研究集中在极端PM浓度上。因此，联合区域PM研究和空气污染控制已成为该区域的紧迫问题。为了表征PM污染，从京津冀地区的13个城市收集了一年的PM10和PM2.5每小时样本。这项研究最初使用Apriori算法分析了极端PM数据，以挖掘PM时空变化和城市间影响中的定量关联规则。结果表明：1）城际PM的关联规则是独特的，并不完全依赖于它们的空间分布； 2）南部城市经常出现极端PM浓度，其时空关联性强于北部城市； 3）城际PM2.5的时空关联强度要比城际PM10的时空关联强。（C）2015 Elsevier Ltd.保留所有权利。

著录项

来源
《Atmospheric environment》 |2015年第11期|339-350|共12页
作者
Qin Shanshan; Liu Feng; Wang Chen; Song Yiliao; Qu Jiansheng;
展开▼
作者单位

York Univ, Dept Math & Stat, Toronto, ON M3J 1P3, Canada|Lanzhou Univ, Coll Earth & Environm Sci, MOE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China;

Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China|Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China;

Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China;

Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China|Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China;

Chinese Acad Sci, Lanzhou Informat Ctr, Informat Ctr Global Change Studies, Lanzhou 730000, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Extreme particulate matter; Spatial-temporal; Analysis and projection; Association rules;

机译：极端颗粒物;时空;分析与预测;关联规则;

相似文献

外文文献
中文文献
专利

1. The Exposure Uncertainty Analysis: The Association between Birth Weight and Trimester Specific Exposure to Particulate Matter (PM2.5 vs. PM10) [J] . Naresh Kumar International Journal of Environmental Research and Public Health . 2016,第9期

机译：暴露度不确定度分析：出生体重和孕期特定暴露于颗粒物之间的关联（PM2.5与PM10）
2. Levels and health risk assessments of particulate matters (PM2.5 and PM10) in indoor/outdoor air of waterpipe cafes in Tehran, Iran [J] . Heydari Gholamreza, Taghizdeh Farhad, Fazlzadeh Mehdi, Environmental Science and Pollution Research . 2019,第7期

机译：伊朗德黑兰水管咖啡馆室内/室外空气中微粒问题（PM2.5和PM10）的水平和健康风险评估
3. Ambient Particulate Matter (PM2.5/PM10) Exposure and Emergency Department Visits for Acute Myocardial Infarction in Chaoyang District, Beijing, China During 2014: A Case-Crossover Study [J] . Zhang Qian, Qi Weipeng, Yao Wei, Journal of epidemiology / . 2016,第9a10期

机译：2014年中国北京市朝阳区急性心肌梗死患者的环境颗粒物（PM2.5 / PM10）暴露和急诊就诊：病例交叉研究
4. Distribution of mass concentration and chemical analysis of particulate matters (PM2.5, PM10) in indoor parking lots in Korea [C] . hyun ah Ji, In-Keun Shim, Wooseok Lee, Annual conference of the International Society of Exposure Science . 2014

机译：韩国室内停车场的颗粒物（PM2.5，PM10）的质量浓度分布和化学分析
5. Characterization of particulate matter concentrations (PM 10, PM10-2.5, and PM2.5) at high-altitude school and residential microenvironments in Quito, Ecuador. [D] . Montoya, Teresa. 2013

机译：厄瓜多尔基多高海拔学校和住宅微环境中颗粒物浓度（PM 10，PM10-2.5和PM2.5）的特征。
6. Ambient Particulate Matter (PM2.5/PM10) Exposure and Emergency Department Visits for Acute Myocardial Infarction in Chaoyang District Beijing China During 2014: A Case-Crossover Study [O] . Qian Zhang, Weipeng Qi, Wei Yao, 2016

机译：2014年北京朝阳区急性心肌梗死患者的环境颗粒物（PM2.5 / PM10）暴露和急诊就诊：病例对照研究
7. Spatial Analysis (Measurements at Heights of 10 m and 20 m above Ground Level) of the Concentrations of Particulate Matter (PM10, PM2.5, and PM1.0) and Gaseous Pollutants (H2S) on the University Campus: A Case Study [O] . Robert Cichowicz, Maciej Dobrzański 2021

机译：在大学校园内的颗粒物质（PM10，PM2.5和PM1.0）和气态污染物（H2S）浓度的空间分析（在地上的10米和20米）的测量值：一个案例研究

Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China

摘要

著录项

相似文献

相关主题

期刊订阅