An analysis of water quality in Suphanburi river with extreme value theorem
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Abstract
This research aims to study the water quality standard in Suphanburi river. The studies include the potential of the hydrogen (pH), dissolved oxygen (DO), and temperature (TEMP), by applying the extreme value theory of Generalized Extreme Value (GEV) and Generalized Pareto Distribution (GPD). It is found that the GEV and GPD are appropriate approaches to model the water quality analysis of Suphanburi river. The results found that pH and DO values of water in the Doembang Nangbuat station and the Song Phi Nong station are within standard limits, whereas the TEMP value is higher than standard limit in Song Phi Nong station. This is due to many factories located near the river. Thus it is crucial to control the quality of water in Suphanburi river.
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Published manuscript are the rights of their original owners and RMUTSB Academic Journal. The manuscript content belongs to the authors' idea, it is not the opinion of the journal's committee and not the responsibility of Rajamangala University of Technology Suvarnabhumi
References
วิรงรอง ทิมดี. (2547). การศึกษาคุณภาพของแม่น้ำท่าจีนตอนล่างโดยใช้ระบบสารสนเทศภูมิศาสตร์ปี พ.ศ. 2547. กรุงเทพฯ: ศูนย์สารสนเทศ กระทรวงเกษตรและสหกรณ์.
An, T., & Pandey, M. (2005). A comparison of methods of extreme wind speed estimation, technical note. J Wind Eng Ind Aerod., 93, 535-545.
Brabson, B., & Palutikof, J. (1999). Tests of the generalized pareto distribution for predicting extreme wind speeds. Journal Applied Meteorology, 39, 1627-1640.
Brodin, E., & Rootzen, H. (2009). Univariate and bivariate GPD methods for predicting extreme wind storm losses. Insurance: Mathematics and Economics, 44, 345-356.
Coles, S. (1997). An introduction to statistical modeling extremal events for insurance and finance. Berlin: Springer Verlag.
Embrecht, P., Klüppelberg, C., & Mikosch, T. (1997). Modeling extremal events for insurance and finance. Berlin: Springer-Verlag.
Katz, R. W., Parlange, M. B., & Naveau, P. (2002). Statistics of extremes in hydrology. Advance Water Resource, 25, 1287-1304.
Kotz, S., & Nadaraja, S. (2000). Extreme value distributions: Theory and applications. Singapore: Imperial College Press.
Nelson, R. B. (1999). An introduction to copulas. New York: Springer- Verlag.
Suksriwrang, B. (2003). Thai environment day at 4 Dec 2003. Journal of science for the public, 27, 39-43. (in Thai)