A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China

<p>In situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration observations have long been used as critical data sources in haze-related studies. Due to the frequently occurring haze pollution events, China started to regularly monitor PM<spa...

Full description

Bibliographic Details
Main Authors: K. Bai, K. Li, C. Wu, N.-B. Chang, J. Guo
Format: Article
Language:English
Published: Copernicus Publications 2020-11-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/12/3067/2020/essd-12-3067-2020.pdf
id doaj-912d3e4a53ed4354b2ecc478786902fb
record_format Article
spelling doaj-912d3e4a53ed4354b2ecc478786902fb2020-12-07T08:27:25ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-11-01123067308010.5194/essd-12-3067-2020A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in ChinaK. Bai0K. Bai1K. Bai2K. Li3C. Wu4N.-B. Chang5J. Guo6Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, ChinaInstitute of Eco-Chongming, 20 Cuiniao Rd., Chongming, Shanghai, ChinaSchool of Geographic Sciences, East China Normal University, Shanghai, ChinaSchool of Geographic Sciences, East China Normal University, Shanghai, ChinaSchool of Geographic Sciences, East China Normal University, Shanghai, ChinaDepartment of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USAState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China<p>In situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration observations have long been used as critical data sources in haze-related studies. Due to the frequently occurring haze pollution events, China started to regularly monitor PM<span class="inline-formula"><sub>2.5</sub></span> concentration nationwide from the newly established air quality monitoring network in 2013. Nevertheless, the acquisition of these invaluable air quality samples is challenging given the absence of a publicly available data download interface. In this study, we provided a homogenized in situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset that was created on the basis of hourly PM<span class="inline-formula"><sub>2.5</sub></span> data retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler between 2015 and 2019. Methods involving missing value imputation, change point detection, and bias adjustment were applied sequentially to deal with data gaps and inhomogeneities in raw PM<span class="inline-formula"><sub>2.5</sub></span> observations. After excluding records with limited samples, a homogenized PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset comprising of 1309 5-year long PM<span class="inline-formula"><sub>2.5</sub></span> data series at a daily resolution was eventually compiled. This is the first attempt to homogenize in situ PM<span class="inline-formula"><sub>2.5</sub></span> observations in China. The trend estimations derived from the homogenized dataset indicate a spatially homogeneous decreasing tendency of PM<span class="inline-formula"><sub>2.5</sub></span> across China at a mean rate of about <span class="inline-formula">−</span>7.6&thinsp;% per year from 2015 to 2019. In contrast to raw PM<span class="inline-formula"><sub>2.5</sub></span> observations, the homogenized data record not only has complete data integrity but is more consistent over space and time. This homogenized daily in situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset is publicly accessible at <a href="https://doi.org/10.1594/PANGAEA.917557">https://doi.org/10.1594/PANGAEA.917557</a> (Bai et al., 2020a) and can be applied as a promising dataset for PM<span class="inline-formula"><sub>2.5</sub></span>-related studies such as satellite-based PM<span class="inline-formula"><sub>2.5</sub></span> mapping, human exposure risk assessment, and air quality management.</p>https://essd.copernicus.org/articles/12/3067/2020/essd-12-3067-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Bai
K. Bai
K. Bai
K. Li
C. Wu
N.-B. Chang
J. Guo
spellingShingle K. Bai
K. Bai
K. Bai
K. Li
C. Wu
N.-B. Chang
J. Guo
A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
Earth System Science Data
author_facet K. Bai
K. Bai
K. Bai
K. Li
C. Wu
N.-B. Chang
J. Guo
author_sort K. Bai
title A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
title_short A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
title_full A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
title_fullStr A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
title_full_unstemmed A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
title_sort homogenized daily in situ pm<sub>2.5</sub> concentration dataset from the national air quality monitoring network in china
publisher Copernicus Publications
series Earth System Science Data
issn 1866-3508
1866-3516
publishDate 2020-11-01
description <p>In situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration observations have long been used as critical data sources in haze-related studies. Due to the frequently occurring haze pollution events, China started to regularly monitor PM<span class="inline-formula"><sub>2.5</sub></span> concentration nationwide from the newly established air quality monitoring network in 2013. Nevertheless, the acquisition of these invaluable air quality samples is challenging given the absence of a publicly available data download interface. In this study, we provided a homogenized in situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset that was created on the basis of hourly PM<span class="inline-formula"><sub>2.5</sub></span> data retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler between 2015 and 2019. Methods involving missing value imputation, change point detection, and bias adjustment were applied sequentially to deal with data gaps and inhomogeneities in raw PM<span class="inline-formula"><sub>2.5</sub></span> observations. After excluding records with limited samples, a homogenized PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset comprising of 1309 5-year long PM<span class="inline-formula"><sub>2.5</sub></span> data series at a daily resolution was eventually compiled. This is the first attempt to homogenize in situ PM<span class="inline-formula"><sub>2.5</sub></span> observations in China. The trend estimations derived from the homogenized dataset indicate a spatially homogeneous decreasing tendency of PM<span class="inline-formula"><sub>2.5</sub></span> across China at a mean rate of about <span class="inline-formula">−</span>7.6&thinsp;% per year from 2015 to 2019. In contrast to raw PM<span class="inline-formula"><sub>2.5</sub></span> observations, the homogenized data record not only has complete data integrity but is more consistent over space and time. This homogenized daily in situ PM<span class="inline-formula"><sub>2.5</sub></span> concentration dataset is publicly accessible at <a href="https://doi.org/10.1594/PANGAEA.917557">https://doi.org/10.1594/PANGAEA.917557</a> (Bai et al., 2020a) and can be applied as a promising dataset for PM<span class="inline-formula"><sub>2.5</sub></span>-related studies such as satellite-based PM<span class="inline-formula"><sub>2.5</sub></span> mapping, human exposure risk assessment, and air quality management.</p>
url https://essd.copernicus.org/articles/12/3067/2020/essd-12-3067-2020.pdf
work_keys_str_mv AT kbai ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kbai ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kbai ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kli ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT cwu ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT nbchang ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT jguo ahomogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kbai homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kbai homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kbai homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT kli homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT cwu homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT nbchang homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
AT jguo homogenizeddailyinsitupmsub25subconcentrationdatasetfromthenationalairqualitymonitoringnetworkinchina
_version_ 1724397855384272896