Comparison of water quality index (WQI) between Doe method and Harkin’s index

Water quality index (WQI) provides a convenient means of summarizing large numbers of water quality data, facilitating its communication to a general audience and will aid in establishment of priorities by providing quantitative data on overall water quality in regularly sampled water bodies. Large...

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Main Author:	Lim, Fui Ling
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TC Hydraulic engineering Ocean engineering
Online Access:	http://eprints.utm.my/id/eprint/11582/1/LimFuiLingMFKKSA2007.pdf
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id	my-utm-ep.11582
record_format	uketd_dc
spelling	my-utm-ep.115822018-09-17T03:46:56Z Comparison of water quality index (WQI) between Doe method and Harkin’s index 2007-03 Lim, Fui Ling TC Hydraulic engineering. Ocean engineering TD Environmental technology. Sanitary engineering Water quality index (WQI) provides a convenient means of summarizing large numbers of water quality data, facilitating its communication to a general audience and will aid in establishment of priorities by providing quantitative data on overall water quality in regularly sampled water bodies. Large volume of continuous time series water quality data can be readily available due to automated continuous water quality monitoring of DOE/ASMA. Raw data obtained from DOE/ASMA for Sungai Rompin, Skudai and Klang from year 1998 to 2002 is analyzed using DOE WQI method and Harkin’s WQI method. Average WQI from the study are: Sungai Rompin DOE 81.65 / Harkins 9.76; Sungai Skudai DOE 67.33 / Harkins 10.80 ; Sungai Klang DOE 51.54 / Harkins 9.63. DOE WQI show that Sungai Rompin is clean river, Sungai Skudai is slightly polluted and Sungai Klang is polluted river. However, Harkin’s WQI is not able to provide the observation as DOE WQI. This indicate that DOE WQI is more sensitive to data changes and provide better insight of river condition compared to Harkin’s WQI. Correlation value, r2 calculated using Microsoft excel obtained for Sungai Rompin is 0.25, Sungai Skudai is 0.59 and Sungai Klang is 0.43. However, weak or marginally significant correlation does not necessary indicate lack of agreement as to what constitutes good or poor water quality because of Harkin’s WQI calculation. Harkin’s WQI dependant on the control vector chosen for the Sn calculation. This is the major hindrance of Harkin’s WQI because the Sn data need to be computed whenever there is new data added to be computed. The control vector chosen also will affect the overall observation because by using different data as the control vector, the whole Harkin’s WQI data will be change. DOE WQI is more dependants on dissolved oxygen (DO) data because it has the highest weighing compared to other parameter. Current DOE WQI method still the preferred simplify method to share data with public. However, there is way to further improve on the water quality information to the authority or public for management. 2007-03 Thesis http://eprints.utm.my/id/eprint/11582/ http://eprints.utm.my/id/eprint/11582/1/LimFuiLingMFKKSA2007.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering Faculty of Chemical and Natural Resources Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TC Hydraulic engineering Ocean engineering TC Hydraulic engineering Ocean engineering
spellingShingle	TC Hydraulic engineering Ocean engineering TC Hydraulic engineering Ocean engineering Lim, Fui Ling Comparison of water quality index (WQI) between Doe method and Harkin’s index
description	Water quality index (WQI) provides a convenient means of summarizing large numbers of water quality data, facilitating its communication to a general audience and will aid in establishment of priorities by providing quantitative data on overall water quality in regularly sampled water bodies. Large volume of continuous time series water quality data can be readily available due to automated continuous water quality monitoring of DOE/ASMA. Raw data obtained from DOE/ASMA for Sungai Rompin, Skudai and Klang from year 1998 to 2002 is analyzed using DOE WQI method and Harkin’s WQI method. Average WQI from the study are: Sungai Rompin DOE 81.65 / Harkins 9.76; Sungai Skudai DOE 67.33 / Harkins 10.80 ; Sungai Klang DOE 51.54 / Harkins 9.63. DOE WQI show that Sungai Rompin is clean river, Sungai Skudai is slightly polluted and Sungai Klang is polluted river. However, Harkin’s WQI is not able to provide the observation as DOE WQI. This indicate that DOE WQI is more sensitive to data changes and provide better insight of river condition compared to Harkin’s WQI. Correlation value, r2 calculated using Microsoft excel obtained for Sungai Rompin is 0.25, Sungai Skudai is 0.59 and Sungai Klang is 0.43. However, weak or marginally significant correlation does not necessary indicate lack of agreement as to what constitutes good or poor water quality because of Harkin’s WQI calculation. Harkin’s WQI dependant on the control vector chosen for the Sn calculation. This is the major hindrance of Harkin’s WQI because the Sn data need to be computed whenever there is new data added to be computed. The control vector chosen also will affect the overall observation because by using different data as the control vector, the whole Harkin’s WQI data will be change. DOE WQI is more dependants on dissolved oxygen (DO) data because it has the highest weighing compared to other parameter. Current DOE WQI method still the preferred simplify method to share data with public. However, there is way to further improve on the water quality information to the authority or public for management.
format	Thesis
qualification_level	Master's degree
author	Lim, Fui Ling
author_facet	Lim, Fui Ling
author_sort	Lim, Fui Ling
title	Comparison of water quality index (WQI) between Doe method and Harkin’s index
title_short	Comparison of water quality index (WQI) between Doe method and Harkin’s index
title_full	Comparison of water quality index (WQI) between Doe method and Harkin’s index
title_fullStr	Comparison of water quality index (WQI) between Doe method and Harkin’s index
title_full_unstemmed	Comparison of water quality index (WQI) between Doe method and Harkin’s index
title_sort	comparison of water quality index (wqi) between doe method and harkin’s index
granting_institution	Universiti Teknologi Malaysia, Faculty of Chemical and Natural Resources Engineering
granting_department	Faculty of Chemical and Natural Resources Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/11582/1/LimFuiLingMFKKSA2007.pdf
_version_	1747814873614516224

Comparison of water quality index (WQI) between Doe method and Harkin’s index

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