• 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

[Simulation of the Spatio-temporally Resolved PM Aerosol Mass Concentration over the Inland Plain of the Beijing-Tianjin-Hebei Region].

作者信息

Hao Jing, Sun Cheng, Guo Xing-Yu, Wang Wei, Liu Fang-Tian, Dang Hai-Yan

机构信息

College of Resources and Environment Sciences, Hebei Normal University, Shijiazhuang 050024, China.

Key Laboratory of Environmental Evolvement and Ecological Construction of Hebei Province, Shijiazhuang 050024, China.

出版信息

Huan Jing Ke Xue. 2018 Apr 8;39(4):1455-1465. doi: 10.13227/j.hjkx.201706278.

DOI:10.13227/j.hjkx.201706278
PMID:29964969
Abstract

In recent years, haze pollution in China is becoming increasingly serious, especially in the Beijing-Tianjin-Hebei region. In order to identify the temporal and spatial distributional characteristics of PM aerosol mass concentration in the region, this study selected the inland plain of the Beijing-Tianjin-Hebei region as the research area, and used MODIS AOD as the main predictor in a mixed effects model to establish the daily relationship of AOD-PM in the study area, from 2013 to 2014. The model was validated by a ten-fold cross validation method. The results showed that the correlation between AOD-PM can be improved by daily calibration of the mixed effects model (=0.78); the cross-validated was 0.70, and RMSE and RPE were 20.80 μg·m and 28.76%, respectively. Considering the importance of unbiased PM predictions, the correction factors calculated from the surface PM measurements were applied to correct the biases in the predicted annual average PM concentrations introduced by non-stochastic missing AOD measurements. The results showed that the annual average concentration of PM in the study area was higher than 75 μg·m, and the spatial distribution of PM concentration was higher in the southern and western regions, and lower in the northern and eastern regions. These results suggest that the mixed effects model can be used to monitor ground PM, and also provide a scientific basis for the control of atmospheric particulate pollution in the region.

摘要

相似文献

1
[Simulation of the Spatio-temporally Resolved PM Aerosol Mass Concentration over the Inland Plain of the Beijing-Tianjin-Hebei Region].
Huan Jing Ke Xue. 2018 Apr 8;39(4):1455-1465. doi: 10.13227/j.hjkx.201706278.
2
[High-resolution Estimation of Spatio-temporal Variation in PM Concentrations in the Beijing-Tianjin-Hebei Region].[京津冀地区细颗粒物浓度时空变化的高分辨率估算]
Huan Jing Ke Xue. 2021 Sep 8;42(9):4083-4094. doi: 10.13227/j.hjkx.202012197.
3
Daily estimation of ground-level PM concentrations at 4km resolution over Beijing-Tianjin-Hebei by fusing MODIS AOD and ground observations.利用 MODIS AOD 与地面观测融合方法实现北京-天津-河北地区地面 PM2.5 浓度的 4km 分辨率逐日估算。
Sci Total Environ. 2017 Feb 15;580:235-244. doi: 10.1016/j.scitotenv.2016.12.049. Epub 2016 Dec 13.
4
Satellite-based high-resolution PM estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model.利用改进的时空地理加权回归模型对中国京津冀地区进行基于卫星的高精度 PM 估算。
Environ Pollut. 2018 May;236:1027-1037. doi: 10.1016/j.envpol.2018.01.053. Epub 2018 Feb 16.
5
[MAIAC AOD and PM Mass Concentrations Characteristics and Correlation Analysis in Beijing-Tianjin-Hebei and Surrounding Areas].
Huan Jing Ke Xue. 2021 Jun 8;42(6):2604-2615. doi: 10.13227/j.hjkx.202009200.
6
[Spatial-temporal Distribution and Evolution Characteristics of Air Pollution in Beijing-Tianjin-Hebei Region Based on Long-term "Ground-Satellite" Data].基于长期“地面-卫星”数据的京津冀地区空气污染时空分布及演变特征
Huan Jing Ke Xue. 2022 Jul 8;43(7):3508-3522. doi: 10.13227/j.hjkx.202109240.
7
[Comparison of Models on Spatial Variation of PM Concentration:A Case of Beijing-Tianjin-Hebei Region].[基于京津冀地区的PM浓度空间变化模型比较]
Huan Jing Ke Xue. 2017 Jun 8;38(6):2191-2201. doi: 10.13227/j.hjkx.201611114.
8
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.
9
Predicting ground-level PM concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach.预测京津冀地区的地面 PM 浓度:一种混合遥感和机器学习方法。
Environ Pollut. 2019 Jun;249:735-749. doi: 10.1016/j.envpol.2019.03.068. Epub 2019 Mar 22.
10
[Monitoring and Analysis of the Spatio-temporal Change Characteristics of the PM Concentration Over Beijing-Tianjin-Hebei and Its Surrounding Regions Based on Remote Sensing].基于遥感的京津冀及周边地区PM浓度时空变化特征监测与分析
Huan Jing Ke Xue. 2019 Jan 8;40(1):33-43. doi: 10.13227/j.hjkx.201802104.