Identification and spatial patterns of coastal water pollution sources based onGIS and chemometric approach
ZHOU Feng , GUO Huai-cheng , LIU Yong , HAO Ze-jia
DOI:
Received August 16, 2006,Revised October 27, 2006, Accepted , Available online
Volume 19,2007,Pages 805-810
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Comprehensive and joint applications of GIS and chemometric approach were applied in identification and spatial patterns of coastal
water pollution sources with a large data set (5 years (2000–2004), 17 parameters) obtained through coastal water monitoring of
Southern Water Control Zone in Hong Kong. According to cluster analysis the pollution degree was significantly di erent between
September–next May (the 1st period) and June–August (the 2nd period). Based on these results, four potential pollution sources,
such as organic/eutrophication pollution, natural pollution, mineral/anthropic pollution and fecal pollution were identified by factor
analysis/principal component analysis. Then the factor scores of each monitoring site were analyzed using inverse distance weighting
method, and the results indicated degree of the influence by various potential pollution sources di ered among the monitoring sites. This
study indicated that hybrid approach was useful and e ective for identification of coastal water pollution source and spatial patterns.
