Abstract
In order to discover the hidden information of the urban runoff characteristics,three different statistical techniques were applied on the monitoring data of three catchments with different urban surface type in Macau. The measurementworks were carried out during the rain periods from June 2005 to September 2006, and the water parameters such as pH, TSS, COD, TOC, TN, TP, Zn, Pb, and Cu was analyzed. Univariate statistical analysis, regression analysis and Principal Component Analysis were undertaken on the three catchments separately. The standard deviation (SD) for TSS, COD, TN, and TOC from YLF, ELH Park, and SXY roadway catchments is great. And the regression analysis shows the TSS has a close correlation between TN, TP, TOC or COD. Further, principal component analysis (PCA) was chosen to explain the type of pollution source and its mechanism indifferent urban surface type catchments, which had clarified the linkages between various pollutant parameters from urban runoff and correlations with different urban surface types. According to the above statistical analysis, it could be concluded that the structural best management practices (BMPs) such as detention basins or sedimaterial in the urban runoff pollution of Macau.
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Ao, C., Wang, Z., Huang, J., Manhim, H., Heong, L.M., Pengfei, D. (2010). Identification of Main Factors and Their Relationships in Urban Runoff Pollution of Macau Based on Statistical Techniques. In: Sumi, A., Fukushi, K., Honda, R., Hassan, K. (eds) Sustainability in Food and Water. Alliance for Global Sustainability Bookseries, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9914-3_4
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DOI: https://doi.org/10.1007/978-90-481-9914-3_4
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