Article(id=1242139998867235198, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139981490238132, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2022.15.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1647273600000, receivedDateStr=2022-03-15, revisedDate=1655654400000, revisedDateStr=2022-06-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1663060734037, onlineDateStr=2022-09-13, pubDate=1660320000000, pubDateStr=2022-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1663060734037, onlineIssueDateStr=2022-09-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078853571, creator=sys-migrate, updateTime=1774078853571, updator=sys-migrate, issue=Issue{id=1242139981490238132, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='15', pageStart='0', pageEnd='136', issueExtLink='null', onlineDate='null', pubDate='1660320000000', pubDateStr='2022-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078849429, creator='sys-migrate', updateTime=1774078849429, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=49, endPage=63, ext={EN=ArticleExt(id=1242140002348507538, articleId=1242139998867235198, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Progress of research based on the airborne pollen monitoring data, columnId=1242139997357285745, journalTitle=Science & Technology Review, columnName=Exclusive: Air pollution and health, runingTitle=null, highlight=null, articleAbstract=This paper reviews the research based on airborne pollen monitoring data and finds out the followings.1) a pollen profile can be obtained by using the data and then a pollen calendar with clinical value can be drawn,in which the concentration threshold should be modified based on the characteristics of allergic populations.Besides,it's confirmed that clean air is essential for preventing hay fever through analyzing the exposure risks in different environments.2) the local observation environment and the placement position of the sampler have a great influence on the monitoring results,but overall,the pollen season has been prolonged and the pollen concentration has increased in most regions of the north hemisphere,which can be attributed to climate warming.3) in order to predict the future changes of airborne pollen,four types of models are widely used and the prediction results are generally accurate.For the parts with poor prediction effect (extreme pollen concentration,complex terrain,etc.),the optimal solution is to combine high-resolution pollen monitoring data for correction.4) however,due to the lack of low-cost automatic monitoring equipment,the current resolution of pollen monitoring data is still low,which brings a series of data and technical barriers.Therefore,this paper believes that the development of low-cost automatic monitoring equipment should be the focus of recent development in this field,and that a standardized observation system should be established accordingly., authors=YIN Zhaoyin1,3 , LIU Yan1 , DANG Bing2 , QIAO Yuan3 , ZHANG Fengyao3 , LIU Dan4 , OUYANG Yuhui5 , authorsList=YIN Zhaoyin, LIU Yan, DANG Bing, QIAO Yuan, ZHANG Fengyao, LIU Dan, OUYANG Yuhui, authorCompany=1. Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;1,3 , 刘燕1 , 党冰2 , 乔媛3 , 张丰瑶3 , 刘丹4 , 欧阳昱晖5 , authorsList=尹炤寅, 刘燕, 党冰, 乔媛, 张丰瑶, 刘丹, 欧阳昱晖, authorCompany=1. 北京城市气象研究院, 北京 100089;
科技导报
| 大气污染与健康专题 2022, 40(15): 49-63
气传花粉监测数据研究进展
全屏
尹炤寅1,3 , 刘燕1 , 党冰2 , 乔媛3 , 张丰瑶3 , 刘丹4 , 欧阳昱晖5
作者信息
1. 北京城市气象研究院, 北京 100089;
通讯作者:
欧阳昱晖(通信作者),主任医师,研究方向为耳鼻咽喉科疾病和鼻过敏,电子信箱:oyyuhui@sina.com
Progress of research based on the airborne pollen monitoring data
Affiliations
出版时间: 2022-08-13
doi: 10.3981/j.issn.1000-7857.2022.15.006
文章导航
综述了基于气传花粉监测数据的研究进展，结果发现，利用花粉观测数据可获取某地的花粉概况，进而绘制具有临床价值的花粉日历。但因其不包含病例信息，故需结合过敏人群特征修正影响浓度阈值。此外，通过分析暴露于不同环境下的患病风险，证实了防治花粉症十分依赖于洁净的空气。局地观测环境及采样器的安放位置对监测结果有极大影响，但整体而言，北半球大多数区域花粉季延长、花粉浓度增加，并可归因于气候变暖所致。为预测花粉关键要素在未来的变化，4大类模型被广泛应用，并取得较好的预测结果。但对于预测效果较差的部分（花粉浓度极值、复杂地形等），最优解决方法则是结合高分辨率的花粉监测数据进行订正。但是，由于缺乏低成本的自动监测设备，当前花粉监测数据的分辨率仍然较低，由此带来了一系列的数据和技术壁垒。建议该领域应将开发低成本的自动监测设备作为近期发展的重点，并以此建立标准化的观测体系。
气传花粉
/
花粉过敏
/
花粉监测
/
花粉预测
This paper reviews the research based on airborne pollen monitoring data and finds out the followings.1) a pollen profile can be obtained by using the data and then a pollen calendar with clinical value can be drawn,in which the concentration threshold should be modified based on the characteristics of allergic populations.Besides,it's confirmed that clean air is essential for preventing hay fever through analyzing the exposure risks in different environments.2) the local observation environment and the placement position of the sampler have a great influence on the monitoring results,but overall,the pollen season has been prolonged and the pollen concentration has increased in most regions of the north hemisphere,which can be attributed to climate warming.3) in order to predict the future changes of airborne pollen,four types of models are widely used and the prediction results are generally accurate.For the parts with poor prediction effect (extreme pollen concentration,complex terrain,etc.),the optimal solution is to combine high-resolution pollen monitoring data for correction.4) however,due to the lack of low-cost automatic monitoring equipment,the current resolution of pollen monitoring data is still low,which brings a series of data and technical barriers.Therefore,this paper believes that the development of low-cost automatic monitoring equipment should be the focus of recent development in this field,and that a standardized observation system should be established accordingly.
airborne pollen
/
hay favor
/
pollen monitoring
/
pollen predicting
尹炤寅, 刘燕, 党冰, 乔媛, 张丰瑶, 刘丹, 欧阳昱晖.
气传花粉监测数据研究进展.
科技导报,
2022
, 40
(15)
: 49
-63
.
DOI: 10.3981/j.issn.1000-7857.2022.15.006
YIN Zhaoyin, LIU Yan, DANG Bing, QIAO Yuan, ZHANG Fengyao, LIU Dan, OUYANG Yuhui.
Progress of research based on the airborne pollen monitoring data[J].
Science & Technology Review ,
2022
, 40
(15)
: 49
-63
.
DOI: 10.3981/j.issn.1000-7857.2022.15.006
2022年第40卷第15期
PDF下载
707
220
引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2022.15.006
接收时间：2022-03-15
首发时间：2022-09-13
出版时间：2022-08-13
收稿日期：2022-03-15
修回日期：2022-06-20
通讯作者:
欧阳昱晖(通信作者),主任医师,研究方向为耳鼻咽喉科疾病和鼻过敏,电子信箱:oyyuhui@sina.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2022.15.006
引用本文
BibTeX
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
关闭全屏
BibTeX
EndNote
RefWorks
TxT
PDF下载
全屏
707
220
关闭全屏
北京市海淀区学院南路86号
010-62199257
qkjq@cast.org.cn
