• 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

基于能见度的中国 PM 浓度:1957-1964 年和 1973-2014 年。

Visibility-Based PM Concentrations in China: 1957-1964 and 1973-2014.

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University , Nanjing, Jiangsu China.

Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology , Nanjing, Jiangsu China.

出版信息

Environ Sci Technol. 2017 Nov 21;51(22):13161-13169. doi: 10.1021/acs.est.7b03468. Epub 2017 Nov 3.

DOI:10.1021/acs.est.7b03468
PMID:29063753
Abstract

China established ground PM monitoring network in late 2012 and hence the long-term and large-scale PM data were lacking before 2013. In this work, we developed a national-scale spatiotemporal linear mixed effects model to estimate the long-term PM concentrations in China from 1957 to 1964 and from 1973 to 2014 using ground visibility monitoring data as the primary predictor. The overall model-fitting and cross-validation R is 0.72 and 0.71, suggesting that the model is not overfitted. Validation beyond the model year (2014) indicated that the model could accurately estimate historical PM concentrations at the monthly (R = 0.71) level. The historical PM estimates suggest that air pollution is not a new environmental issue that occurs in the recent decades but a problem existing in a longer time before 1980. The PM concentrations have reached 60-80 μg/m in the north part of North China Plain during 1950s-1960s and increased to generally higher than 90 μg/m during 1970s. The results also show that the entire China experienced an overall increasing trend (0.19 μg/m/yr, P < 0.001) in PM concentrations from 1957 to 2014 with fluctuations among different periods. This paper demonstrated visibility data allow us to understand the spatiotemporal characteristics of PM pollution in China in a long-term.

摘要

中国于 2012 年末建立了地面 PM 监测网络,因此在 2013 年之前缺乏长期和大规模的 PM 数据。在这项工作中,我们开发了一个全国范围的时空线性混合效应模型,使用地面能见度监测数据作为主要预测因子,来估计 1957 年至 1964 年和 1973 年至 2014 年期间中国的长期 PM 浓度。总体模型拟合和交叉验证的 R 值分别为 0.72 和 0.71,表明模型没有过度拟合。超出模型年份(2014 年)的验证表明,该模型可以准确地估计每月的历史 PM 浓度(R=0.71)。历史 PM 估计表明,空气污染不是近几十年才出现的新环境问题,而是在 1980 年之前就存在的一个长期问题。在 20 世纪 50 年代至 60 年代,华北平原北部的 PM 浓度达到了 60-80μg/m,到 20 世纪 70 年代,PM 浓度普遍上升到 90μg/m 以上。结果还表明,从 1957 年到 2014 年,整个中国的 PM 浓度总体呈上升趋势(0.19μg/m/yr,P<0.001),不同时期存在波动。本文证明,能见度数据使我们能够长期了解中国 PM 污染的时空特征。

相似文献

1
Visibility-Based PM Concentrations in China: 1957-1964 and 1973-2014.基于能见度的中国 PM 浓度:1957-1964 年和 1973-2014 年。
Environ Sci Technol. 2017 Nov 21;51(22):13161-13169. doi: 10.1021/acs.est.7b03468. Epub 2017 Nov 3.
2
Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004-2013.2004 - 2013年中国基于卫星的PM2.5浓度时空趋势
Environ Health Perspect. 2016 Feb;124(2):184-92. doi: 10.1289/ehp.1409481. Epub 2015 Jul 24.
3
Satellite-derived 1-km estimates and long-term trends of PM concentrations in China from 2000 to 2018.卫星获取的 2000 年至 2018 年中国 PM 浓度 1 公里估算值及长期趋势。
Environ Int. 2021 Nov;156:106726. doi: 10.1016/j.envint.2021.106726. Epub 2021 Jun 25.
4
Construction of a virtual PM observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model.基于极端梯度提升模型利用高密度地面气象观测资料构建中国虚拟 PM 观测网络。
Environ Int. 2020 Aug;141:105801. doi: 10.1016/j.envint.2020.105801. Epub 2020 May 29.
5
MAIAC-based long-term spatiotemporal trends of PM in Beijing, China.基于 MAIA 模型的中国北京市 PM 长期时空变化趋势。
Sci Total Environ. 2018 Mar;616-617:1589-1598. doi: 10.1016/j.scitotenv.2017.10.155. Epub 2017 Oct 19.
6
Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.美国东部地区遥感气溶胶光学厚度与PM2.5之间关系的评估及统计建模
Res Rep Health Eff Inst. 2012 May(167):5-83; discussion 85-91.
7
Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model.基于贝叶斯层次模型的1998年至2014年中国遥感PM2.5浓度的时空变化
Int J Environ Res Public Health. 2016 Aug 1;13(8):772. doi: 10.3390/ijerph13080772.
8
Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD.基于中分辨率成像光谱仪(MODIS)和多角度成像光谱辐射计(MISR)气溶胶光学厚度,运用地理加权回归法估算中国全国尺度的地面细颗粒物(PM2.5)浓度。
Environ Sci Pollut Res Int. 2016 May;23(9):8327-38. doi: 10.1007/s11356-015-6027-9. Epub 2016 Jan 16.
9
A machine learning method to estimate PM concentrations across China with remote sensing, meteorological and land use information.一种利用遥感、气象和土地利用信息估算中国 PM 浓度的机器学习方法。
Sci Total Environ. 2018 Sep 15;636:52-60. doi: 10.1016/j.scitotenv.2018.04.251. Epub 2018 Apr 25.
10
Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM data.利用高分辨率卫星和地面实测 PM 数据研究中国细颗粒物浓度的时空趋势。
J Environ Manage. 2019 Mar 1;233:530-542. doi: 10.1016/j.jenvman.2018.12.071. Epub 2018 Dec 27.

引用本文的文献

1
MXene-Decorated Nylon Mesh Filters for Improvement of Indoor Air Quality by PM Filtration.用于通过过滤颗粒物改善室内空气质量的MXene修饰尼龙网过滤器
ACS Omega. 2023 Jun 21;8(26):23465-23476. doi: 10.1021/acsomega.3c00452. eCollection 2023 Jul 4.
2
Robust prediction of hourly PM from meteorological data using LightGBM.使用LightGBM从气象数据中对每小时的颗粒物(PM)进行稳健预测。
Natl Sci Rev. 2021 Jan 5;8(10):nwaa307. doi: 10.1093/nsr/nwaa307. eCollection 2021 Oct.
3
Estimating PM concentrations in Northeastern China with full spatiotemporal coverage, 2005-2016.
2005 - 2016年中国东北地区具有全时空覆盖的细颗粒物(PM)浓度估算
Remote Sens Environ. 2021 Feb;253. doi: 10.1016/j.rse.2020.112203. Epub 2020 Dec 2.
4
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.
5
Impacts of air pollutants from rural Chinese households under the rapid residential energy transition.农村家庭快速能源转型下的空气污染物影响。
Nat Commun. 2019 Jul 30;10(1):3405. doi: 10.1038/s41467-019-11453-w.
6
Spatiotemporal Variations of Indoor PM Concentrations in Nanjing, China.中国南京室内 PM 浓度的时空变化。
Int J Environ Res Public Health. 2019 Jan 7;16(1):144. doi: 10.3390/ijerph16010144.