'Effortless Perfection:'Do Chinese cities manipulate air pollution data?

D Ghanem, J Zhang - Journal of Environmental Economics and …, 2014 - Elsevier
This paper uses unique data on daily air pollution concentrations over the period 2001–
2010 to test for manipulation in self-reported data by Chinese cities. First, we employ a …

Spatial assessment of air quality patterns in Malaysia using multivariate analysis

D Dominick, H Juahir, MT Latif, SM Zain… - Atmospheric environment, 2012 - Elsevier
This study aims to investigate possible sources of air pollutants and the spatial patterns
within the eight selected Malaysian air monitoring stations based on a two-year database …

Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru

CH Cordova, MNL Portocarrero, R Salas, R Torres… - Scientific Reports, 2021 - nature.com
The prediction of air pollution is of great importance in highly populated areas because it
directly impacts both the management of the city's economic activity and the health of its …

Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)

AZ Ul-Saufie, AS Yahaya, NA Ramli, N Rosaida… - Atmospheric …, 2013 - Elsevier
Future PM 10 concentration prediction is very important because it can help local authorities
to enact preventative measures to reduce the impact of air pollution. The aims of this study …

Factors influencing the variations of PM10 aerosol dust in Klang Valley, Malaysia during the summer

L Juneng, MT Latif, F Tangang - Atmospheric Environment, 2011 - Elsevier
The associations between the variations of PM10 concentration during summer monsoon
dry seasons over the Klang Valley, Malaysia and the local meteorological factors, synoptic …

[PDF][PDF] The assessment of ambient air pollution trend in Klang Valley, Malaysia

SRA Rahman, SNS Ismail, MF Raml, MT Latif… - World …, 2015 - academia.edu
This study aims to explore the trend of ambient air pollution (ie PM10, CO, NO2, O3) within
the eight selected Malaysian air monitoring stations in Klang valley of five years database …

Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia

NAFK Zaman, KD Kanniah, DG Kaskaoutis - Atmospheric Research, 2017 - Elsevier
The insufficient number of ground-based stations for measuring Particulate Matter< 10 μm
(PM 10) in the developing countries hinders PM 10 monitoring at a regional scale. The …

Spatial and temporal air quality pattern recognition using environmetric techniques: a case study in Malaysia

SNSA Mutalib, H Juahir, A Azid, SM Sharif… - … Science: Processes & …, 2013 - pubs.rsc.org
The objective of this study is to identify spatial and temporal patterns in the air quality at
three selected Malaysian air monitoring stations based on an eleven-year database …

[HTML][HTML] Multivariate methods to predict ground level ozone during daytime, nighttime, and critical conversion time in urban areas

NR Awang, NA Ramli, AS Yahaya… - Atmospheric Pollution …, 2015 - Elsevier
Abstract Ground–level ozone (O 3) is known to exhibit strong daily variations that lead to
complexity of the pollutants' analysis and predictions. This study aimed to introduce and …

Influence of meteorological variables on suburban atmospheric PM2. 5 in the southern region of peninsular Malaysia

N Dahari, MT Latif, K Muda, N Hussein - Aerosol and Air Quality Research, 2020 - Springer
Air pollution is a crucial contributor to premature mortality and health problems. The
excessive inhalation of fine particulate matter (PM 2.5) is strongly associated with adverse …