Article(id=1242135507136754080, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242135493014532473, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2016.22.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1453219200000, receivedDateStr=2016-01-20, revisedDate=1459612800000, revisedDateStr=2016-04-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1481614964987, onlineDateStr=2016-12-13, pubDate=1480262400000, pubDateStr=2016-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1481614964987, onlineIssueDateStr=2016-12-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077782658, creator=sys-migrate, updateTime=1774077782658, updator=sys-migrate, issue=Issue{id=1242135493014532473, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='22', pageStart='1', pageEnd='108', issueExtLink='null', onlineDate='null', pubDate='1480262400000', pubDateStr='2016-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077779290, creator='sys-migrate', updateTime=1774077779290, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=62, endPage=67, ext={EN=ArticleExt(id=1242135511733711301, articleId=1242135507136754080, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Analysis of the space-time characteristics and causes of the atmospheric pollution in Shandong Province, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=The atmospheric routine monitoring data are used to analyze the characteristics of air pollution in 2014 in Shandong Province. From the point of view of the spatial distribution, the air pollution in Zibo, Jinan, Zaozhuang is the most serious as compared with other cities, while Rizhao, Qingdao, Weihai and other cities are under the lightest pollution condition, the pollution degree of the eastern coastal cities is significantly lighter than that of the inland cities; the compliance with respect to SO2 among various cities is greater than 50%, which is a bit better than those with respect to all other pollutants, whose compliance rates are relatively low, and the compliance rate of PM2.5 of all cities do not satisfy the air quality standard. From the point of view of the time distribution, the concentration of pollutant concentration is high in winter and low in summer; the concentrations of PM10 and NO2 in March see a small peak; the concentrations of SO2 and NO2 increase slightly in August; as seen from the full year, the NO2 pollutant emission concentration changes but little. This pollution situation is mainly related to the natural factors and the factors of human beings, with natural factors including the terrain, the climate, and the meteorology, and the factors of human beings including the policy, the supervision and management, the industrial emissions, the motor vehicle emissions, the resident living conditions and other factors. Through the gray correlation analysis, the correlation of the energy consumption is the largest with respect to the pollutant distribution, and the correlation of the wind speed is the largest with respect to the time distribution of pollutants., authors=LIU Yanrong1 , HAN Mei1 , NI Juan2 , LU Shaoyong3 , authorsList=LIU Yanrong, HAN Mei, NI Juan, LU Shaoyong, authorCompany=1. Institute of Geography and Environment, Shandong Normal University, Jinan 250014, China;2 的达标情况较好，超过50%，其余污染物的达标率均较低，PM2.5 甚至出现各地市均超标的现象。从时间看，污染物冬季浓度高夏季浓度低；PM10 和NO2 浓度在3月有小高峰；8月份，SO2 、NO2 浓度略有升高；从全年来看，NO2 污染物排放浓度变化不大。通过灰色关联法分析可知，能源消费与污染物空间分布相关性最大，风速与污染物时间分布相关性最大。, authors=刘延荣1 , 韩美1 , 倪娟2 , 卢少勇3 , authorsList=刘延荣, 韩美, 倪娟, 卢少勇, authorCompany=1. 山东师范大学地理与环境学院, 济南 250014;
科技导报
| 专题论文 2016, 34(22): 62-67
山东省大气环境污染时空特征及其原因分析
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刘延荣1 , 韩美1 , 倪娟2 , 卢少勇3
作者信息
1. 山东师范大学地理与环境学院, 济南 250014;
通讯作者:
韩美(通信作者),教授,研究方向为环境演变与可持续发展和流域水资源与湿地生态评价,电子信箱:hanmei568568@126.com
Analysis of the space-time characteristics and causes of the atmospheric pollution in Shandong Province
Affiliations
出版时间: 2016-11-28
doi: 10.3981/j.issn.1000-7857.2016.22.008
文章导航
利用大气例行监测数据，分析了2014年山东省大气污染进行时空特征。从空间看，淄博、济南、枣庄等是山东省大气污染最严重的城市，日照、青岛、威海等城市的污染最轻，东部沿海城市的污染程度明显轻于内陆城市；各地市SO2 的达标情况较好，超过50%，其余污染物的达标率均较低，PM2.5 甚至出现各地市均超标的现象。从时间看，污染物冬季浓度高夏季浓度低；PM10 和NO2 浓度在3月有小高峰；8月份，SO2 、NO2 浓度略有升高；从全年来看，NO2 污染物排放浓度变化不大。通过灰色关联法分析可知，能源消费与污染物空间分布相关性最大，风速与污染物时间分布相关性最大。
The atmospheric routine monitoring data are used to analyze the characteristics of air pollution in 2014 in Shandong Province. From the point of view of the spatial distribution, the air pollution in Zibo, Jinan, Zaozhuang is the most serious as compared with other cities, while Rizhao, Qingdao, Weihai and other cities are under the lightest pollution condition, the pollution degree of the eastern coastal cities is significantly lighter than that of the inland cities; the compliance with respect to SO2 among various cities is greater than 50%, which is a bit better than those with respect to all other pollutants, whose compliance rates are relatively low, and the compliance rate of PM2.5 of all cities do not satisfy the air quality standard. From the point of view of the time distribution, the concentration of pollutant concentration is high in winter and low in summer; the concentrations of PM10 and NO2 in March see a small peak; the concentrations of SO2 and NO2 increase slightly in August; as seen from the full year, the NO2 pollutant emission concentration changes but little. This pollution situation is mainly related to the natural factors and the factors of human beings, with natural factors including the terrain, the climate, and the meteorology, and the factors of human beings including the policy, the supervision and management, the industrial emissions, the motor vehicle emissions, the resident living conditions and other factors. Through the gray correlation analysis, the correlation of the energy consumption is the largest with respect to the pollutant distribution, and the correlation of the wind speed is the largest with respect to the time distribution of pollutants.
atmospheric pollution
/
spatial and temporal
/
Shandong Province
刘延荣, 韩美, 倪娟, 卢少勇.
山东省大气环境污染时空特征及其原因分析.
科技导报,
2016
, 34
(22)
: 62
-67
.
DOI: 10.3981/j.issn.1000-7857.2016.22.008
LIU Yanrong, HAN Mei, NI Juan, LU Shaoyong.
Analysis of the space-time characteristics and causes of the atmospheric pollution in Shandong Province[J].
Science & Technology Review ,
2016
, 34
(22)
: 62
-67
.
DOI: 10.3981/j.issn.1000-7857.2016.22.008
2016年第34卷第22期
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文章信息
doi: 10.3981/j.issn.1000-7857.2016.22.008
接收时间：2016-01-20
首发时间：2016-12-13
出版时间：2016-11-28
收稿日期：2016-01-20
修回日期：2016-04-03
通讯作者:
韩美(通信作者),教授,研究方向为环境演变与可持续发展和流域水资源与湿地生态评价,电子信箱:hanmei568568@126.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2016.22.008
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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