• 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

城市街道峡谷中颗粒物浓度和粒径分布的动态模式:对昼夜和短期季节性变化的洞察。

Dynamic patterns of particulate matter concentration and size distribution in urban street canyons: insights into diurnal and short-term seasonal variations.

机构信息

School of Environmental Art, Hubei Institute of Fine Arts, Wuhan, 430202, China.

Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, 2098 Rue Kimberley, Montreal, QC, H3C 3P8, Canada.

出版信息

Environ Monit Assess. 2024 Sep 19;196(10):953. doi: 10.1007/s10661-024-13104-0.

DOI:10.1007/s10661-024-13104-0
PMID:39298077
Abstract

Time-varying characteristics of particulate matter (PM) pollution play a crucial role in shaping atmospheric dynamics, which impact the health and welfare of urban commuters. Previously published studies on the diurnal patterns of PMs are not consistent, especially in the context of field experiments in central China, and most field studies have only focused on particles with a single particle size. This study conducted regional-scale studies across 72 street canyon sets in Wuhan, China, investigated diurnal and seasonal PM concentration variations while also evaluating various PM size and the key driving factors. During summer (July, August, and September), evergreen tree-lined street canyons maintained a stable linear trend for smaller d particulates (i.e., PM, PM, and PM), while deciduous street canyons exhibited a bimodal distribution. In winter (January and February), fine particulates (i.e., PM and PM) remained a linear trend in evergreen street canyons, while deciduous street canyons show a slightly wavy fluctuating pattern. Meanwhile, it exhibited quadrimodal-peak and triple-trough patterns in both PM, PM, and TSP concentrations. The lowest PM concentrations were observed between 14:00 and 16:00 for all particle sizes, with decreased summer pollution (7.81% lower in PM, 53.47% lower in PM, and 50.3% lower in TSP) noted in our seasonal analysis. Among the various meteorological factors, relative humidity (RH) was identified as the dominant influencing PM factor in both summer and winter. Results from this study will help us better understand field-based air pollutant dispersion processes within pedestrian spaces while laying the groundwork for future research into street PM experiments.

摘要

颗粒物(PM)污染的时变特征在塑造大气动力方面起着至关重要的作用,这会影响城市通勤者的健康和福利。先前关于 PM 日变化模式的研究结果并不一致,特别是在中国中部的现场实验中,并且大多数现场研究仅关注单一粒径的颗粒。本研究在中国武汉的 72 个街道峡谷组进行了区域尺度的研究,调查了 PM 浓度的日变化和季节变化,并评估了各种 PM 粒径和关键驱动因素。在夏季(7 月、8 月和 9 月),常绿树木林立的街道峡谷对较小粒径的 d 颗粒物(即 PM 、PM 和 PM )保持稳定的线性趋势,而落叶树木林立的街道峡谷呈双峰分布。在冬季(1 月和 2 月),常绿街道峡谷中细颗粒物(即 PM 和 PM )保持线性趋势,而落叶街道峡谷呈略微波动的波动模式。同时,在 PM 、PM 和 TSP 浓度方面表现出四峰-三谷模式。所有粒径的 PM 浓度均在 14:00 至 16:00 之间达到最低,季节性分析表明夏季污染减少(PM 降低 7.81%,PM 降低 53.47%,TSP 降低 50.3%)。在各种气象因素中,相对湿度(RH)被确定为夏季和冬季影响 PM 的主要因素。本研究的结果将帮助我们更好地了解行人空间中基于现场的空气污染物扩散过程,并为未来的街道 PM 实验研究奠定基础。

相似文献

1
Dynamic patterns of particulate matter concentration and size distribution in urban street canyons: insights into diurnal and short-term seasonal variations.城市街道峡谷中颗粒物浓度和粒径分布的动态模式:对昼夜和短期季节性变化的洞察。
Environ Monit Assess. 2024 Sep 19;196(10):953. doi: 10.1007/s10661-024-13104-0.
2
Seasonal and vertical characteristics of particulate and elemental concentrations along diverse street canyons in South India.印度南部不同街道峡谷中颗粒物和元素浓度的季节及垂直特征。
Environ Sci Pollut Res Int. 2022 Dec;29(57):85883-85903. doi: 10.1007/s11356-021-15272-9. Epub 2021 Jul 8.
3
Particulate matter pollution in Chinese cities: Areal-temporal variations and their relationships with meteorological conditions (2015-2017).中国城市的颗粒物污染:时空变化及其与气象条件的关系(2015-2017 年)。
Environ Pollut. 2019 Mar;246:11-18. doi: 10.1016/j.envpol.2018.11.103. Epub 2018 Dec 1.
4
Particulates and particulates-bound mercury (Hg(p)) sizes (PM, PM, PM, PM, PM) distributions study by using MOUDI sampler at a complex sampling site.采用 MOUDI 采样器在一个复杂采样点研究颗粒物和颗粒物结合态汞(Hg(p))的粒径分布(PM、PM、PM、PM、PM)。
Environ Geochem Health. 2020 Feb;42(2):365-375. doi: 10.1007/s10653-019-00360-0. Epub 2019 Jul 8.
5
Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study.北京某城市站点颗粒物(PM10和PM2.5)的季节和日变化:一项为期9年研究的分析
Environ Sci Pollut Res Int. 2015 Jan;22(1):627-42. doi: 10.1007/s11356-014-3347-0. Epub 2014 Aug 7.
6
Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China.中国西部甘肃省关键区域颗粒物的时空变化特征
Environ Pollut. 2017 Nov;230:189-198. doi: 10.1016/j.envpol.2017.06.045. Epub 2017 Jun 23.
7
Airborne particulate in Varanasi over middle Indo-Gangetic Plain: variation in particulate types and meteorological influences.印度恒河平原中部瓦拉纳西的空气颗粒物:颗粒物类型变化及气象影响
Environ Monit Assess. 2017 Apr;189(4):157. doi: 10.1007/s10661-017-5859-9. Epub 2017 Mar 11.
8
[Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing].北京冬春季节PM2.5和PM10污染状况的时空分布及颗粒物与气象因素的相关性
Huan Jing Ke Xue. 2014 Feb;35(2):418-27.
9
The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.中国长三角主要城市地表-柱气溶胶浓度与气象因素的关系。
Environ Sci Pollut Res Int. 2019 Dec;26(36):36568-36588. doi: 10.1007/s11356-019-06730-6. Epub 2019 Nov 15.
10
Dependence of urban air pollutants on morning/evening peak hours and seasons.城市空气污染物对早晚高峰时段和季节的依赖性。
Arch Environ Contam Toxicol. 2019 May;76(4):572-590. doi: 10.1007/s00244-019-00616-x. Epub 2019 Mar 16.