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

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

scholarly journals Application of Irrigation Water Quality Indices and Multivariate Statistical Techniques for Surface Water Quality Assessments in the Northern Nile Delta, Egypt

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3300
Author(s):  
Salah Elsayed ◽  
Hend Hussein ◽  
Farahat S. Moghanm ◽  
Khaled M. Khedher ◽  
Ebrahem M. Eid ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Irrigation Water ◽  
Water Samples ◽  
Surface Water Quality ◽  
Irrigation Water Quality ◽  
Quality Indices ◽  
Multivariate Statistical ◽  
Water Quality Indices ◽  
Surface Water Samples

Under sustainable development conditions, the water quality of irrigation systems is a complex issue which involves the combined effects of several surface water management parameters. Therefore, this work aims to enhance the surface water quality assessment and geochemical controlling mechanisms and to assess the validation of surface water networks for irrigation using six Water Quality Indices (WQIs) supported by multivariate modelling techniques, such as Principal Component Regression (PCR), Support Vector Machine Regression (SVMR) and Stepwise Multiple Linear Regression (SMLR). A total of 110 surface water samples from a network of surface water cannels during the summers of 2018 and 2019 were collected for this research and standard analytical techniques were used to measure 21 physical and chemical parameters. The physicochemical properties revealed that the major ions concentrations were reported in the following order: Ca2+ > Na+ > Mg2+ > K+ and alkalinity > SO42− > Cl− > NO3− > F−. The trace elements concentrations were reported in the following order: Fe > Mn > B > Cr > Pb > Ni > Cu > Zn > Cd. The surface water belongs to the Ca2+-Mg2+-HCO3− and Ca2+-Mg2+-Cl−-SO42− water types, under a stress of silicate weathering and reverse ion exchange process. The computation of WQI values across two years revealed that 82% of samples represent a high class and the remaining 18% constitute a medium class of water quality for irrigation use with respect to the Irrigation Water Quality (IWQ) value, while the Sodium Percentage (Na%) values across two years indicated that 96% of samples fell into in a healthy class and 4% fell into in a permissible class for irrigation. In addition, the Sodium Absorption Ratio (SAR), Permeability Index (PI), Kelley Index (KI) and Residual Sodium Carbonate (RSC) values revealed that all surface water samples were appropriate for irrigation use. The PCR and SVMR indicated accurate and robust models that predict the six WQIs in both datasets of the calibration (Cal.) and validation (Val.), with R2 values varying from 0.48 to 0.99. The SMLR presented estimated the six WQIs well, with an R2 value that ranged from 0.66 to 0.99. In conclusion, WQIs and multivariate statistical analyses are effective and applicable for assessing the surface water quality. The PCR, SVMR and SMLR models provided robust and reliable estimates of the different indices and showed the highest R2 and the highest slopes values close to 1.00, as well as minimum values of RMSE in all models.

Application of water quality indices for evaluating water quality and anthropogenic impact assessment

2018 ◽  
Vol 16 (7) ◽  
pp. 3001-3012
Author(s):  
S. B. Tavakoly Sany ◽  
G. Monazami ◽  
M. Rezayi ◽  
M. Tajfard ◽  
H. Borgheipour
Keyword(s):  
Water Quality ◽  
Impact Assessment ◽  
Anthropogenic Impact ◽  
Quality Indices ◽  
Water Quality Indices

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

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.

Chesapeake Bay Water Quality Indices

1992 ◽  
pp. 1115-1134 ◽  
Author(s):  
Michael S. Haire ◽  
Narendra N. Panday ◽  
Diana K. Domotor ◽  
Dana G. Flora
Keyword(s):  
Water Quality ◽  
Chesapeake Bay ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals Evaluation of drinking water quality indices (case study: Bushehr province, Iran)

2017 ◽  
Vol 4 (2) ◽  
pp. 73-79 ◽  
Author(s):  
Nematollah Jafarzadeh ◽  
Maryam Ravanbakhsh ◽  
Kambis Ahmadi Angali ◽  
Ahmad Zare Javid ◽  
Darioush Ranjbar Vakil Abadi ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Quality ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals Metalliferous content of drinking water and sediments in storage tanks of some schools in Erbil city, Iraq

2020 ◽  
Vol 9 (3) ◽  
Author(s):  
Hawraz Sami Khalid ◽  
Hoshyar Saadi Ali ◽  
Dhary Almashhadany
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Water Samples ◽  
World Health ◽  
Storage Tanks ◽  
Quality Indices ◽  
Toxic Heavy Metals ◽  
Water Quality Indices

The present study was conducted to evaluate the quality of drinking water in randomly selected schools in Erbil city, Kurdistan Region, Iraq. The water quality indices such as the Heavy metal Pollution Index (HPI) and Heavy metal Evaluation Index (HEI) were applied to characterize water quality. Eighteen schools were incorporated and sampled for their water storage tanks available to students. Water samples and sediment samples from tanks floor were analyzed by Inductively Coupled Plasma Optical Emission Spectrometer for the determination of twenty-two metal elements. In drinking water samples, all detected metals did not exceed the permissible limits of the World Health Organization. The results of this study showed that the average values of HPI and HEI for As, Cd, Cr, Cu, Fe, Pb, Mn, Ni, and Zn were 54.442 and 0.221, respectively. According to data of the water quality indices, the schools drinking water quality are good and suitable for drinking in terms of heavy metals. However, sediments samples contained high concentrations of all elements including the toxic heavy metals (As, Cd, Cr, and Pb). Re-suspension of sediments into water column after refilling storage tanks can pose a serious threat to students drinking water from such vessels. It is therefore recommended that proper storage tanks are provided to the schools accompanied by continuous sanitation and hygiene practice to mitigate the corrosion of tanks to avoid health risks of toxic metal

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