Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32168
Title: Spatial analysis of water quality using a combination of GIS and statistical software
Authors: Chen, X
Song, H
Li, YS 
Yuan, Z
Wai, OWH 
Li, Z
Xu, Z
Zhang, B
Keywords: Coastal water environment
GIS
Spatial variability of water quality
Statistical analysis
Water quality monitoring
Issue Date: 2006
Publisher: Inderscience Enterprises Ltd
Source: International journal of environment and pollution, 2006, v. 28, no. 3-4, p. 274-296 How to cite?
Journal: International Journal of Environment and Pollution 
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.
URI: http://hdl.handle.net/10397/32168
ISSN: 0957-4352
DOI: 10.1504/IJEP.2006.011212
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
0
Citations as of Aug 11, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
Citations as of Aug 13, 2017

Page view(s)

46
Last Week
4
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.