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 …
structure in the data. It described as the grouping of objects, where the objects share similar …
Development of an IoT‐based indoor air quality monitoring platform
In this paper, an IoT‐based indoor air quality monitoring platform, consisting of an air quality‐
sensing device called “Smart‐Air” and a web server, is demonstrated. This platform relies on …
sensing device called “Smart‐Air” and a web server, is demonstrated. This platform relies on …
Spatial assessment of air quality patterns in Malaysia using multivariate analysis
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 …
within the eight selected Malaysian air monitoring stations based on a two-year database …
Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia
This study focused on the pattern recognition of Malaysian air quality based on the data
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
Optimal design of air quality monitoring networks: a systematic review
S Verghese, AK Nema - Stochastic Environmental Research and Risk …, 2022 - Springer
The optimal design of air quality monitoring network draws significant attention due to the
severity associated with air pollution and constraints involved with the installation and …
severity associated with air pollution and constraints involved with the installation and …
Investigating the relationship between air pollution variation and urban form
Air quality in megacities and its correlation with urban form have become a priority, since
numerous cities worldwide are encountering a development bottleneck due to air pollution …
numerous cities worldwide are encountering a development bottleneck due to air pollution …
Geographically weighted principal component analysis for characterising the spatial heterogeneity and connectivity of soil heavy metals in Kumasi, Ghana
The use of principal component analysis (PCA) for soil heavy metals characterization
provides useful information for decision making and policies regarding the potential sources …
provides useful information for decision making and policies regarding the potential sources …
Prediction of PM2. 5 concentration based on the similarity in air quality monitoring network
M Li, W Wang, Z Wang, Y Xue - Building and Environment, 2018 - Elsevier
Recently particulate matter pollution has becoming more and more serious in China and
plenty of equipment has been purchased to detect it in air quality monitoring network. But it …
plenty of equipment has been purchased to detect it in air quality monitoring network. But it …
Chemical composition of rainwater in an urban area of the southeast of Brazil
EH Martins, DC Nogarotto, J Mortatti… - Atmospheric Pollution …, 2019 - Elsevier
In the city of Limeira, located in the State of São Paulo, Brazil, the major ions of 30 rainwater
samples, collected from Sep/2013 to Mar/2014, were quantified by ionic chromatography …
samples, collected from Sep/2013 to Mar/2014, were quantified by ionic chromatography …
Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2. 5 concentrations
Spatiotemporal variations in PM 2.5 are a key factor affecting personal pollution exposure
levels in urban areas. However, fixed-site monitoring stations are so sparsely distributed that …
levels in urban areas. However, fixed-site monitoring stations are so sparsely distributed that …