• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国华北泰山山顶的 PM/PM 的化学特性及其对水平能见度的影响。

Chemical characteristics of PM/PM and influence on visual range at the summit of Mount Tai, North China.

机构信息

Environment Research Institute, Shandong University, Jinan 250100, China.

Environment Research Institute, Shandong University, Jinan 250100, China; School of Environmental Science and Engineering, Shandong University, Jinan 250100, China; Jiangsu Collaborative Innovation Center for Climate Change, China.

出版信息

Sci Total Environ. 2017 Jan 1;575:458-466. doi: 10.1016/j.scitotenv.2016.09.173. Epub 2016 Oct 18.

DOI:10.1016/j.scitotenv.2016.09.173
PMID:27768907
Abstract

Daytime and night-time PM and PM samples were simultaneously collected at the summit of Mount Tai during summer and autumn 2014. The mass concentrations and chemical compositions were analysed to determine the temporal variations of PM and PM and their contributions to visibility impairment. In summer, the average mass concentrations of PM and PM were 38.16μg/m and 53.33μg/m, respectively. In autumn, the values were 42.75μg/m and 59.16μg/m. Water-soluble inorganic ions were the most abundant species in both PM and PM, followed by organic mass (OM). Among the major water-soluble ions, SO and NH had higher concentrations in summer than in autumn, whereas the concentration of NO showed the opposite seasonal trend. Lower concentrations of organic carbon (OC), elemental carbon (EC) and water-soluble organic carbon (WSOC) were obtained in summer than in autumn. The water-soluble components (SO, NO, NH and WSOC) showed a clear diurnal variation due to the specific meteorological conditions of Mount Tai. The water content in PM and PM was enhanced by the water-soluble components, especially NHNO. The decreased visibility resulted from the combined influence of particulate matter and relative humidity (RH). The threshold PM concentration corresponding to a visibility of <10km was 56.60μg/m, which decreased with an increase in RH. A revised IMPROVE equation was applied to estimate the light-extinction coefficient b, which was found to be lower for these chemicals in autumn (364Mm) than in summer (482Mm). (NH)SO made the largest contribution to b in both summer and autumn, with an average rate of 56.97%. OM (17.32%) and NHNO (15.13%) were also important contributors, with similar contribution rates. The contribution of NHNO to b was higher during summer, and OM contributions were higher during autumn.

摘要

2014 年夏、秋两季,在泰山山顶同时采集了白天和夜间的 PM 和 PM 样本。分析了质量浓度和化学成分,以确定 PM 和 PM 的时间变化及其对能见度损害的贡献。夏季,PM 和 PM 的平均质量浓度分别为 38.16μg/m 和 53.33μg/m。秋季,这两个数值分别为 42.75μg/m 和 59.16μg/m。水溶性无机离子是 PM 和 PM 中最丰富的物质,其次是有机物质(OM)。在主要的水溶性离子中,夏季 SO 和 NH 的浓度高于秋季,而 NO 的浓度则呈现相反的季节趋势。夏季 OC、EC 和 WSOC 的浓度较低。由于泰山特定的气象条件,水溶性成分(SO、NO、NH 和 WSOC)表现出明显的日变化。PM 和 PM 中的水分含量因水溶性成分(尤其是 NHNO)而增加。能见度下降是由于颗粒物和相对湿度(RH)的共同影响。能见度<10km 对应的 PM 浓度阈值为 56.60μg/m,随着 RH 的增加而降低。应用改进的 IMPROVE 方程估算光衰减系数 b,发现秋季(364Mm)这些化学物质的 b 值低于夏季(482Mm)。(NH)SO 对 b 的贡献最大,在夏、秋两季的平均贡献率均为 56.97%。OM(17.32%)和 NHNO(15.13%)也是重要的贡献者,贡献率相似。NHNO 对 b 的贡献在夏季较高,而 OM 的贡献在秋季较高。

相似文献

1
Chemical characteristics of PM/PM and influence on visual range at the summit of Mount Tai, North China.中国华北泰山山顶的 PM/PM 的化学特性及其对水平能见度的影响。
Sci Total Environ. 2017 Jan 1;575:458-466. doi: 10.1016/j.scitotenv.2016.09.173. Epub 2016 Oct 18.
2
Impact of size distributions of major chemical components in fine particles on light extinction in urban Guangzhou.细颗粒物中主要化学成分的粒度分布对广州市光衰减的影响。
Sci Total Environ. 2017 Jun 1;587-588:240-247. doi: 10.1016/j.scitotenv.2017.02.127. Epub 2017 Feb 24.
3
Effects of relative humidity and PM chemical compositions on visibility impairment in Chengdu, China.相对湿度和 PM 化学成分对中国成都地区能见度影响的研究
J Environ Sci (China). 2019 Dec;86:15-23. doi: 10.1016/j.jes.2019.05.004. Epub 2019 May 13.
4
Chemical characteristics and influence of continental outflow on PM, PM and PM measured at Tuoji island in the Bohai Sea.渤海老铁山地区大气颗粒物 PM、PM 和 PM 中碳质组分的化学特征及其大陆排放的影响
Sci Total Environ. 2016 Dec 15;573:699-706. doi: 10.1016/j.scitotenv.2016.08.146. Epub 2016 Aug 31.
5
[Analysis on water-soluble inorganic ions in the atmospheric aerosol of Xinglong].[兴隆大气气溶胶中水溶性无机离子的分析]
Huan Jing Ke Xue. 2013 Jan;34(1):15-20.
6
Simultaneous monitoring and compositions analysis of PM1 and PM2.5 in Shanghai: Implications for characterization of haze pollution and source apportionment.上海 PM1 和 PM2.5 的同步监测与成分分析:对雾霾污染特征及源解析的启示。
Sci Total Environ. 2016 Jul 1;557-558:386-94. doi: 10.1016/j.scitotenv.2016.03.095. Epub 2016 Mar 24.
7
Humidity and PM composition determine atmospheric light extinction in the arid region of northwest China.湿度和 PM 成分决定了中国西北地区干旱地区的大气光衰减。
J Environ Sci (China). 2021 Feb;100:279-286. doi: 10.1016/j.jes.2020.07.007. Epub 2020 Aug 14.
8
[Characterization of water-soluble inorganic ions in PM2.5 and PM1.0 in summer in Guangzhou].[广州夏季PM2.5和PM1.0中水溶性无机离子的表征]
Huan Jing Ke Xue. 2010 Jul;31(7):1417-24.
9
[Seasonal Variation and Source Analysis of the Water-soluble Inorganic Ions in Fine Particulate Matter in Suzhou].[苏州细颗粒物中水溶性无机离子的季节变化及来源分析]
Huan Jing Ke Xue. 2016 Dec 8;37(12):4482-4489. doi: 10.13227/j.hjkx.201605094.
10
[Characteristics and Sources of PM and Its Light-scattering Properties with Different Chemical Compositions in Urban Area of Beijing].
Huan Jing Ke Xue. 2023 Feb 8;44(2):658-669. doi: 10.13227/j.hjkx.202204163.

引用本文的文献

1
Machine learning analysis of PM1 impact on visibility with comprehensive sensitivity evaluation of concentration, composition, and meteorological factors.基于浓度、成分和气象因素综合敏感性评估的PM1对能见度影响的机器学习分析
Sci Rep. 2024 Jul 20;14(1):16732. doi: 10.1038/s41598-024-67576-8.
2
Estimation of ambient PM in Iraq and Kuwait from 2001 to 2018 using machine learning and remote sensing.利用机器学习和遥感技术估算 2001 年至 2018 年伊拉克和科威特的环境 PM。
Environ Int. 2021 Jun;151:106445. doi: 10.1016/j.envint.2021.106445. Epub 2021 Feb 19.