Spatial distribution and source identification of persistent pollutants in marine sediments of Hong Kong

Zhang, Xuan; Jiang, Honglei; Zhang, Yaozong

doi:10.1007/s10661-012-2897-1

Cited by 11 publications

(3 citation statements)

References 28 publications

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“…The principal components analysis made it possible to define the origins of trace elements in the reservoirs and to describe their time variation (Singh et al 2005, 2006; Shrestha and Kazama 2007; Sojka et al 2008; Zhang et al 2013; Mostafaei 2014). It was assumed that the principal components significant for the description of data structure were the ones with eigen value higher than 1.…”

Section: Methodsmentioning

confidence: 99%

Application of multivariate statistical approach to identify trace elements sources in surface waters: a case study of Kowalskie and Stare Miasto reservoirs, Poland

Siepak

Sojka²

2017

Environ Monit Assess

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The paper reports the results of measurements of trace elements concentrations in surface water samples collected at the lowland retention reservoirs of Stare Miasto and Kowalskie (Poland). The samples were collected once a month from October 2011 to November 2012. Al, As, Cd, Co, Cr, Cu, Li, Mn, Ni, Pb, Sb, V, and Zn were determined in water samples using the inductively coupled plasma with mass detection (ICP-QQQ). To assess the chemical composition of surface water, multivariate statistical methods of data analysis were used, viz. cluster analysis (CA), principal components analysis (PCA), and discriminant analysis (DA). They made it possible to observe similarities and differences in the chemical composition of water in the points of water samples collection, to uncover hidden factors accounting for the structure of the data, and to assess the impact of natural and anthropogenic sources on the content of trace elements in the water of retention reservoirs. The conducted statistical analyses made it possible to distinguish groups of trace elements allowing for the analysis of time and spatial variation of water in the studied reservoirs.

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Section: Methodsmentioning

confidence: 99%

Application of multivariate statistical approach to identify trace elements sources in surface waters: a case study of Kowalskie and Stare Miasto reservoirs, Poland

Siepak

Sojka²

2017

Environ Monit Assess

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“…The PCA was applied to identify the most significant pollutant sources as suggested in previous research [19,25,26]. PCA determines the most significant parameters that best capture the variation in the data set by eliminating the least significant parameters with a minimal loss in the original variables [16].…”

Section: Mapping and Gis (Spatial) Analysismentioning

confidence: 99%

Spatial assessment of pollutant loads for surface water quality management: a case study in Lai Chau city, Vietnam

Ngo,

See,

Leisz

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The aim of this study is to present a method for estimating the pollutant load from different sources in an effort to provide improved information regarding water pollution and help control the surface water pollution, using Lai Chau city as a case study. The pollutant load was calculated in accordance with the Vietnam Environment Administration Decree No.154/2019 on the guidance for calculating the total pollutant load of river water. The pollutant sources include point sources (domestic wastewater, animal husbandry, industrial complexes and economic services) and surface sources (run-off from agricultural land uses) that generate wastes that potentially contaminate water bodies. The source locations were mapped and spatially joined with the drainage-basin map delineated from a Digital Elevation Model (DEM) to calculate the loads for the sub-basin units. Multivariate analysis then showed that the farming and domestic sources had the strongest positive loading factors for the sub-basins located in the city center and its fringe areas. Of these waste from animal husbandry account for up to 75.1% of total pollutant load. The main conclusion from the study’s results is that the management approach should be changed from the total controlling mode, which is currently applied in the city, to a source specific approach based on the pollutant discharge loads and the allocated capacities.

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“…Principal component analysis (PCA) is used to form the most significant parameter with least loss of the original variables by excluding the less significant parameter [1] and this allow identification of the pollution source [2]. Diverse possible pollution sources according to the activities in the air quality monitoring environment can be identified by applying Factor Analysis (FA) where usually carried out after successfully applied the PCA [3].…”

Section: Introductionmentioning

confidence: 99%

Selected Malaysia air quality pollutants assessment using chemometrics techniques

Rani¹,

Azid²,

Khalit³

et al. 2018

J. Fundam and Appl Sci.

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Air quality played an important role as polluted air quality could environment as well as property.chemometrics was performed with the objectives to ensure the air quality data analysis is Air quality played an important role as polluted air quality could harm human health, environment as well as property. Thus, a study of air quality pollutants assessment using chemometrics was performed with the objectives to ensure the air quality data analysis is le and interpreted well. Analysis of PCA, FA, KMO and Bartlett's test were done on five main air quality pollutants (O 3 , NO 2 , SO 2 , CO and PM 10 From the data analysis obtained, the concentrations of air quality pollutants all around Malaysia starting from 2008 to 2011 were acceptable and the most dominant major pollutants had been highlighted. KMO obtained in this study is 0.7760, which show that the results are factor well. While, Bartlett's test shows that the variables correlated to each other's.quality data were acceptable for factor analysis.

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Spatial distribution and source identification of persistent pollutants in marine sediments of Hong Kong

Cited by 11 publications

References 28 publications

Application of multivariate statistical approach to identify trace elements sources in surface waters: a case study of Kowalskie and Stare Miasto reservoirs, Poland

Application of multivariate statistical approach to identify trace elements sources in surface waters: a case study of Kowalskie and Stare Miasto reservoirs, Poland

Spatial assessment of pollutant loads for surface water quality management: a case study in Lai Chau city, Vietnam

Selected Malaysia air quality pollutants assessment using chemometrics techniques

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