Application of Water Quality Indices and Dissolved Oxygen as Indicators for River Water Classification and Urban Impact Assessment

Water qualities of three suburban rivers, namely, Kuantan, Belat, and Galing rivers, in Kuantan, Malaysia, were examined effectively by using ion-exclusion/cation-exchange chromatography with water quality indices and land usage data. Specifically, we have focused on evaluating and grasping the effect of sewage/household wastewater discharged from housing areas in the Kuantan district on the river water quality. Based on this study, the following beneficial information were obtained effectively: (1) the pollution levels in the three rivers (Kuantan River: Classes I–III, Belat River: Classes I–III, and Galing River: Classes I–V) are linked with the urbanization level of the river basin area; (2) differences in the biological reactions in the different pollution level rivers are understood; (3) Galing River is among the most polluted rivers not only in Kuantan but also in the Peninsular Malaysia, owing to poor water treatment of the sewage/household wastewater discharged from the river basin area.

Download Full-text

Assessment of river water quality indices based on various fuzzy models and arithmetic indexing method

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1114/1/012092 ◽

2021 ◽

Vol 1114 (1) ◽

pp. 012092

Author(s):

A H Divya ◽

P A Soloman

Keyword(s):

Water Quality ◽

River Water ◽

River Water Quality ◽

Quality Indices ◽

Water Quality Indices ◽

Fuzzy Models ◽

Indexing Method

Download Full-text

A coherent approach of Water Quality Indices and Multivariate Statistical Models to estimate the water quality and pollution source apportionment of River Ganga System in Himalayan region, Uttarakhand, India

Environmental Science and Pollution Research ◽

10.1007/s11356-021-13711-1 ◽

2021 ◽

Author(s):

Avinash Kumar ◽

Gagan Matta ◽

Satyaveer Bhatnagar

Keyword(s):

Water Quality ◽

Source Apportionment ◽

Statistical Models ◽

Pollution Source ◽

Himalayan Region ◽

Quality Indices ◽

Multivariate Statistical ◽

Water Quality Indices ◽

River Ganga

Download Full-text

Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed

MATEC Web of Conferences ◽

10.1051/matecconf/201819202047 ◽

2018 ◽

Vol 192 ◽

pp. 02047

Author(s):

Yopy Arfan ◽

Dwita Sutjiningsih

Keyword(s):

Water Quality ◽

Regression Model ◽

Pearson Correlation ◽

Water Quality Monitoring ◽

Test Method ◽

Quality Indices ◽

Water Quality Indices ◽

Correlation Test ◽

Impervious Cover ◽

Water Ecosystems

Urbanization and industrialization lead to the change of land cover from pervious into impervious. This can impact environmental problems such as water quality degradation that affects human health and water ecosystems. The study aimed to develop a regression-correlation model between impervious cover in Ciliwung watershed and water quality indices in Ciliwung river. The correlation-regression model can be used to predict changes in the status of Ciliwung river water quality due to impervious cover changes. Methods of assessing the indices of water quality are CCME-WQI, NSF-WQI, and STORET within the period of 2005-2016. Monitoring locations from the most upstream to downstream are Atta’awun, Katulampa, Kedung Halang, Pondok Rajeg, Panus Bridge, Kelapa Dua, Condet, Kalibata, MT Haryono and Manggarai. Impervious cover data for each water quality monitoring location is processed using ArcGIS Software. Test of correlation significance between percentage of impervious cover and water quality indices using Pearson Correlation test method. The result of correlation test is significantly a strong inverse relationship between impervious cover and water quality indices. The result of regression test is trend line between impervious cover change and water quality indices that can be used to predict the change of water quality status in Ciliwung River.

Download Full-text