Spatio-temporal variability and persistence of PM2.5 concentrations in China using trend analysis methods and Hurst exponent
Reads0
Chats0
TLDR
In this article, the spatial and temporal pattern, variation tends, and persistence is determined through the Theil-Sen median trend analysis, Mann-Kendall, and Hurst exponent to quantitatively and qualitatively predict the future trends of China's PM2.5 concentrations.About:
This article is published in Atmospheric Pollution Research.The article was published on 2022-01-01 and is currently open access. It has received 14 citations till now. The article focuses on the topics: Hurst exponent & Environmental science.read more
Citations
More filters
Journal ArticleDOI
Spatiotemporal Distribution Patterns and Exposure Risks of PM2.5 Pollution in China
TL;DR: In this article , the authors analyzed the temporal and spatial patterns of PM2.5 in China, and evaluated the exposure risks of the nation and of urban agglomerations by exceedance frequency and population weight.
Journal ArticleDOI
Random Forest Estimation and Trend Analysis of PM2.5 Concentration over the Huaihai Economic Zone, China (2000–2020)
TL;DR: Li et al. as mentioned in this paper used multi-source data, namely MAIAC AOD (at a 1 km spatial resolution), meteorological, topographic, date, and location (latitude and longitude) data, to construct a regression model using random forest to estimate the daily PM2.5 concentration over the Huaihai Economic Zone from 2000 to 2020.
Journal ArticleDOI
Impacts of urban–rural disparities in the trends of PM2.5 and ozone levels in China during 2013–2019
Li Xing,Xing-Yu Mao,Keqin Duan +2 more
TL;DR: Li et al. as discussed by the authors analyzed the urban-rural disparities in PM2.5 and O3 concentration trends during 2013-2019 and their causes were analyzed based on observations from 1343 sites in China.
Journal ArticleDOI
Multi-spatiotemporal AOD trends and association with land use changes over the Guangdong-Hong Kong-Macao Greater Bay Area during 2001–2021
Journal ArticleDOI
Driving Forces of Meteorology and Emission Changes on Surface Ozone in the Huaihe River Basin, China
TL;DR: Wang et al. as mentioned in this paper used a Kolmogorov-Zurbenko (KZ) filter method on the maximum daily average 8-h (MDA8) concentrations of ozone in the HRB during 2015-2020 to decompose the original time series.
References
More filters
Journal ArticleDOI
Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
Journal ArticleDOI
Long-Term Storage Capacity of Reservoirs
TL;DR: In this paper, a solution of the problem of determining the reservoir storage required on a given stream, to guarantee a given draft, is presented, where a long-time record of annual total...
Journal ArticleDOI
High secondary aerosol contribution to particulate pollution during haze events in China
Ru-Jin Huang,Yan-Lin Zhang,Carlo Bozzetti,Kin Fai Ho,Junji Cao,Yongming Han,Kaspar R. Daellenbach,Jay G. Slowik,Stephen Matthew Platt,Francesco Canonaco,Peter Zotter,Robert Wolf,Simone M. Pieber,Emily A. Bruns,Monica Crippa,Giancarlo Ciarelli,Andrea Piazzalunga,Margit Schwikowski,Gülcin Abbaszade,Jürgen Schnelle-Kreis,Ralf Zimmermann,Zhisheng An,Sönke Szidat,Urs Baltensperger,Imad El Haddad,André S. H. Prévôt +25 more
TL;DR: The results suggest that, in addition to mitigating primary particulate emissions, reducing the emissions of secondary aerosol precursors from fossil fuel combustion and biomass burning is likely to be important for controlling China’s PM2.5 levels and for reducing the environmental, economic and health impacts resulting from particulate pollution.
Journal ArticleDOI
Drivers of improved PM2.5 air quality in China from 2013 to 2017.
Qiang Zhang,Yixuan Zheng,Dan Tong,Min Shao,Shuxiao Wang,Yuanhang Zhang,Xiangde Xu,Jinnan Wang,Hong He,Wenqing Liu,Yihui Ding,Yu Lei,Junhua Li,Zifa Wang,Xiaoye Zhang,Yuesi Wang,Jing Cheng,Yang Liu,Qinren Shi,Liu Yan,Guannan Geng,Chaopeng Hong,Meng Li,Fei Liu,Bo Zheng,Junji Cao,Aijun Ding,Jian Gao,Qingyan Fu,Juntao Huo,B. X. Liu,Zirui Liu,Fumo Yang,Kebin He,Jiming Hao +34 more
TL;DR: The measure-by-measure evaluation indicated that strengthening industrial emission standards, upgrades on industrial boilers, phasing out outdated industrial capacities, and promoting clean fuels in the residential sector were major effective measures in reducing PM2.5 pollution and health burdens in China.