scholarly journals Assessment of air pollution around coal mining area: Emphasizing on spatial distributions, seasonal variations and heavy metals, using cluster and principal component analysis

2014 ◽  
Vol 5 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Bhanu Pandey ◽  
Madhoolika Agrawal ◽  
Siddharth Singh
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Air Pollution ◽  
Coal Mining ◽  
Seasonal Variations ◽  
Principal Component ◽  
Mining Area ◽  
Component Analysis ◽  
Spatial Distributions ◽  
Coal Mining Area

Application of relative air pollution index (RAPI)—a new method for aggregate assessment of current air pollution in Cam Pha coal mining area, Quang Ninh province, Vietnam

2020 ◽  
Vol 192 (7) ◽  
Author(s):  
Anh Viet Thi Pham ◽  
Dung Manh Do ◽  
Ha Thu Thi Pham ◽  
Thu Trang Phan ◽  
Ho Ngoc Pham
Keyword(s):  
Air Pollution ◽  
Coal Mining ◽  
Pollution Index ◽  
Mining Area ◽  
New Method ◽  
Air Pollution Index ◽  
Coal Mining Area ◽  
Quang Ninh

scholarly journals Assessment of heavy metals in soils of a vineyard region with the use of principal component analysis

2009 ◽  
Vol 66 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Gustavo Souza Valladares ◽  
Otávio Antônio de Camargo ◽  
José Ruy Porto de Carvalho ◽  
Alessandra Maria Cia Silva
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Agricultural Soils ◽  
Principal Component ◽  
Component Analysis ◽  
Soil Samples ◽  
Metal Concentrations ◽  
Zn Content ◽  
Heavy Metals In Soils ◽  
Cu And Zn

Agricultural management with chemicals may contaminate the soil with heavy metals. The objective of this study was to apply Principal Component Analysis and geoprocessing techniques to identify the origin of the metals Cu, Fe, Mn, Zn, Ni, Pb, Cr and Cd as potential contaminants of agricultural soils. The study was developed in an area of vineyard cultivation in the State of São Paulo, Brazil. Soil samples were collected and GPS located under different uses and coverings. The metal concentrations in the soils were determined using the DTPA method. The Cu and Zn content was considered high in most of the samples, and was larger in the areas cultivated with vineyards that had been under the application of fungicides for several decades. The concentrations of Cu and Zn were correlated. The geoprocessing techniques and the Principal Component Analysis confirmed the enrichment of the soil with Cu and Zn because of the use and management of the vineyards with chemicals in the preceding decades.

scholarly journals Evaluating the effect of coal mining subsidence on the agricultural soil quality using principal component analysis

2018 ◽  
Vol 78 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Xiao-ming Guo ◽  
Tong-qian Zhao ◽  
Wen-ke Chang ◽  
Chun-yan Xiao ◽  
Yu-xiao He
Keyword(s):  
Principal Component Analysis ◽  
Coal Mining ◽  
Soil Quality ◽  
Agricultural Soil ◽  
Principal Component ◽  
Component Analysis ◽  
Mining Subsidence ◽  
Coal Mining Subsidence

Using principal component analysis and general path seeker regression for investigation of air pollution and CO modeling

2015 ◽  
Author(s):  
A. Ivanov ◽  
D. Voynikova ◽  
S. Gocheva-Ilieva ◽  
H. Kulina ◽  
I. Iliev
Keyword(s):  
Principal Component Analysis ◽  
Air Pollution ◽  
Principal Component ◽  
Component Analysis

scholarly journals Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data

2017 ◽  
Vol 67 (2) ◽  
pp. 453-480 ◽  
Author(s):  
Juliana B. Souza ◽  
Valdério A. Reisen ◽  
Glaura C. Franco ◽  
Márton Ispány ◽  
Pascal Bondon ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Air Pollution ◽  
Time Series ◽  
Respiratory Disease ◽  
Generalized Additive Models ◽  
Principal Component ◽  
Component Analysis ◽  
Additive Models

scholarly journals A Novel Principal Component Analysis for Spatially- Misaligned Multivariate Air Pollution Data

2014 ◽  
Vol 2014 (1) ◽  
pp. 1625
Author(s):  
Roman Jandarov* ◽  
Adam Szpiro
Keyword(s):  
Principal Component Analysis ◽  
Air Pollution ◽  
Principal Component ◽  
Component Analysis

scholarly journals Geographically weighted principal component analysis for characterising the spatial heterogeneity and connectivity of soil heavy metals in Kumasi, Ghana

Heliyon ◽  
2021 ◽  
pp. e08039
Author(s):  
Eric N. Aidoo ◽  
Simon K. Appiah ◽  
Gaston E. Awashie ◽  
Alexander Boateng ◽  
Godfred Darko
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Spatial Heterogeneity ◽  
Principal Component ◽  
Component Analysis ◽  
Soil Heavy Metals ◽  
Weighted Principal Component
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