Application of k-means and hierarchical clustering techniques for analysis of air pollution: A review (1980–2019)

P Govender, V Sivakumar - Atmospheric pollution research, 2020 - Elsevier
Clustering is an explorative data analysis technique used for investigating the underlying
structure in the data. It described as the grouping of objects, where the objects share similar …

Interaction Between Planetary Boundary Layer and PM2.5 Pollution in Megacities in China: a Review

Y Miao, J Li, S Miao, H Che, Y Wang, X Zhang… - Current Pollution …, 2019 - Springer
Abstract Purpose of Review During the past decades, the number and size of megacities
have been growing dramatically in China. Most of Chinese megacities are suffering from …

Spatiotemporal patterns of remotely sensed PM2. 5 concentration in China from 1999 to 2011

J Peng, S Chen, H Lü, Y Liu, J Wu - Remote sensing of environment, 2016 - Elsevier
Air pollution in the form of fine particulate matter, or PM 2.5, can decrease human life
expectancy and increase the overall mortality rate. Based on a time series of remotely …

How do urban haze pollution and economic development affect each other? Empirical evidence from 287 Chinese cities during 2000–2016

T Gan, H Yang, W Liang - Sustainable Cities and Society, 2021 - Elsevier
Seeking the sustainable development of environment and economy has become the
consensus of Chinese society. This paper uses the generalized three-stage least squares …

A new hybrid optimization prediction model for PM2. 5 concentration considering other air pollutants and meteorological conditions

H Yang, Z Liu, G Li - Chemosphere, 2022 - Elsevier
With the development of economy, the problem of air pollution has become increasingly
serious. As an important detection index of air pollutants, how to accurately and effectively …

PM2.5 Spatiotemporal Variations and the Relationship with Meteorological Factors during 2013-2014 in Beijing, China

F Huang, X Li, C Wang, Q Xu, W Wang, Y Luo, L Tao… - PloS one, 2015 - journals.plos.org
Objective Limited information is available regarding spatiotemporal variations of particles
with median aerodynamic diameter< 2.5 μm (PM2. 5) at high resolutions, and their …

Spatial distribution characteristics of PM2. 5 and PM10 in Xi'an City predicted by land use regression models

L Han, J Zhao, Y Gao, Z Gu, K Xin, J Zhang - Sustainable Cities and …, 2020 - Elsevier
Abstract PM 2.5 and PM 10 could increase the risk for cardiovascular and respiratory
diseases in the general public and severely limit the sustainable development in urban …

Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning

DR Liu, SJ Lee, Y Huang, CJ Chiu - Expert Systems, 2020 - Wiley Online Library
With air pollution having become a global concern, scientists are committed to working on its
amelioration. In the field of air pollution prediction, there have been good results in …

[HTML][HTML] The changing PM2. 5 dynamics of global megacities based on long-term remotely sensed observations

L Zhang, JP Wilson, B MacDonald, W Zhang… - Environment International, 2020 - Elsevier
Satellite observations show that the rapid urbanization and emergence of megacities with 10
million or more residents have raised PM2. 5 concentrations across the globe during the …

Spatial and seasonal characteristics of particulate matter and gaseous pollution in China: Implications for control policy

X Ma, H Jia, T Sha, J An, R Tian - Environmental Pollution, 2019 - Elsevier
By employing the air pollution data including particular matter (PM) and gaseous pollutants
(SO 2, NO 2, CO, and O 3) measured over 130 cities in China from April 2014 to March …