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2020 | OriginalPaper | Buchkapitel

Prediction of Odour Pollution in River Water Contaminated with Landfill Leachate Using COD and UV Absorption Indices

verfasst von : Syafinah Yusoff, Nastaein Qamaruz Zaman, Ahmad Shukri Yahya, Nurul Hana Mokhtar Kamal

Erschienen in: Proceedings of AICCE'19

Verlag: Springer International Publishing

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Abstract

The quality of the source of drinking water is very important for human being. One of the parameter that is yet to be established in Malaysia is odour in the drinking water source. According to Ministry of Health Malaysia, the only acceptable limit mentioned in the drinking water standard is “no odour”. The objective of this paper is to find the correlation between odour and the other two parameters which are Chemical Oxygen Demand (COD) and organic matter. From this research the result shows that, Threshold Odour Number (TON) and COD have a strong correlation determined using Pearson’s Correlation, while the regression curve shows that, TON and COD best fit curve is cubic. Cubic model has the highest R2 value compared to the others curve. Same goes to natural organic matter, ultraviolet absorption at 254 nm wavelength (UV254) versus TON is best fitted with cubic graph and has the highest R2 value. Both of the equation acquired from the graphs can be used to predict TON value if the sample has the same condition as the one used in this study.

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Metadaten
Titel
Prediction of Odour Pollution in River Water Contaminated with Landfill Leachate Using COD and UV Absorption Indices
verfasst von
Syafinah Yusoff
Nastaein Qamaruz Zaman
Ahmad Shukri Yahya
Nurul Hana Mokhtar Kamal
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-32816-0_98