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Comparative Evaluation of the Pollutant Load Estimation Method in the Water Quality Data Missing Intervals  

Cho, Beom-Jun (Coastal Engineering Research Department, Korea Ocean R&D Institute)
Cho, Hong-Yeon (Coastal Engineering Research Department, Korea Ocean R&D Institute)
Kahng, Sung-Hyun (Marine Environment Research Department, KORDI)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.19, no.1, 2007 , pp. 45-56 More about this Journal
Abstract
Direct estimation of the pollutant load(PL) should be carried out by the data filling in the missing intervals using an appropriate method because it is impossible in which the flow discharge(water quantity) or water quality(WQ) time-series data set have the missing intervals. In this study, the several methods estimating the water quality in the missing periods are suggested and the WQ and pollutants load change patterns are compared and evaluated based on the reproducible degree of the available data change patterns. The most appropriate method is finally suggested and the contribution factor deciding the influence degree and the PL characteristics of the river estuary is also suggested. Based on the PL estimation results using the several methods, the interpolation method considering the fluctuation of the available WQ data is shown to be most efficient. The PL patterns of the Han river estuary is classified as the discharge-dominated type. The data filling process is inevitable and the WQ estimation using the efficient and effective method should be carried out in order to estimate reasonable PL.
Keywords
missing intervals; estimation method; flow discharge and water quality data; pollutant load; contribution factor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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