Spatial analysis of water quality using a combination of GIS and statistical software

Xiaoling Chen; Hong Song; Yok Sheung Li; Zhongzhi Yuan; Wing Hong Onyx Wai; Zhilin Li; Zhanhua Xu; Baojun Zhang

doi:10.1504/IJEP.2006.011212

Spatial analysis of water quality using a combination of GIS and statistical software

Xiaoling Chen, Hong Song, Yok Sheung Li, Zhongzhi Yuan, Wing Hong Onyx Wai, Zhilin Li, Zhanhua Xu, Baojun Zhang

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Abstract

GIS-based spatial analysis was combined with statistical analysis to process time varying water quality data. A data model was employed to manage the spatio-temporal data. The spatial data engine of ArcSDE was used to access the database. A data relationship model was developed to perform data communication between GIS and the statistical software. Visual Basic was used to construct links between all the software packages being implemented. This allows the combination of the spatial and temporal characteristics into the water quality mathematical analysis. Ten water quality parameters were selected from a water quality monitoring programme to validate the present approach.

Original language	English
Pages (from-to)	274-296
Number of pages	23
Journal	International Journal of Environment and Pollution
Volume	28
Issue number	3-4
DOIs	https://doi.org/10.1504/IJEP.2006.011212
Publication status	Published - 18 Dec 2006

Keywords

Coastal water environment
GIS
Spatial variability of water quality
Statistical analysis
Water quality monitoring

ASJC Scopus subject areas

Waste Management and Disposal
Pollution
Management, Monitoring, Policy and Law

More information

10.1504/IJEP.2006.011212

Cite this

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abstract = "GIS-based spatial analysis was combined with statistical analysis to process time varying water quality data. A data model was employed to manage the spatio-temporal data. The spatial data engine of ArcSDE was used to access the database. A data relationship model was developed to perform data communication between GIS and the statistical software. Visual Basic was used to construct links between all the software packages being implemented. This allows the combination of the spatial and temporal characteristics into the water quality mathematical analysis. Ten water quality parameters were selected from a water quality monitoring programme to validate the present approach.",

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AU - Chen, Xiaoling

AU - Song, Hong

AU - Li, Yok Sheung

AU - Yuan, Zhongzhi

AU - Wai, Wing Hong Onyx

AU - Li, Zhilin

AU - Xu, Zhanhua

AU - Zhang, Baojun

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AB - GIS-based spatial analysis was combined with statistical analysis to process time varying water quality data. A data model was employed to manage the spatio-temporal data. The spatial data engine of ArcSDE was used to access the database. A data relationship model was developed to perform data communication between GIS and the statistical software. Visual Basic was used to construct links between all the software packages being implemented. This allows the combination of the spatial and temporal characteristics into the water quality mathematical analysis. Ten water quality parameters were selected from a water quality monitoring programme to validate the present approach.

KW - Coastal water environment

KW - GIS

KW - Spatial variability of water quality

KW - Statistical analysis

KW - Water quality monitoring

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DO - 10.1504/IJEP.2006.011212

M3 - Journal article

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VL - 28

SP - 274

EP - 296

JO - International Journal of Environment and Pollution

JF - International Journal of Environment and Pollution

IS - 3-4

ER -

Spatial analysis of water quality using a combination of GIS and statistical software

Abstract

Keywords

ASJC Scopus subject areas

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