scholarly journals A Basin-Wide Survey of Coastal Wetlands of the Laurentian Great Lakes: Development and Comparison of Water Quality Indices

Wetlands ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 465-477
Author(s):  
Anna M. Harrison ◽  
Alexander J. Reisinger ◽  
Matthew J. Cooper ◽  
Valerie J. Brady ◽  
Jan J. H. Ciborowski ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Coastal Wetlands ◽  
Laurentian Great Lakes ◽  
Quality Indices ◽  
Water Quality Indices

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.

Change in biomass of benthic and planktonic algae along a disturbance gradient for 24 Great Lakes coastal wetlands

2003 ◽  
Vol 60 (6) ◽  
pp. 676-689 ◽  
Author(s):  
Sheila A McNair ◽  
Patricia Chow-Fraser
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Chlorophyll A ◽  
Total Variation ◽  
Coastal Wetlands ◽  
Phytoplankton Biomass ◽  
Wetland Management ◽  
Percent Cover ◽  
Planktonic Algae ◽  
Wide Range

We quantified the chlorophyll a content of planktonic algae and benthic algae in periphyton on acrylic rods and in epiphyton growing on macrophytes in 24 coastal wetlands in all five Laurentian Great Lakes. Sites were selected to represent a wide range of environmental conditions ranging from nutrient-poor, clear-water marshes with abundant macrophytes to nutrient-enriched, turbid systems devoid of aquatic vegetation. Water quality and species and percent cover of submergent macrophytes were measured in each wetland. Principal components analysis (PCA) showed that total phosphorus, turbidity, and suspended solids, variables associated with human-induced degradation, were most strongly correlated with PC axis 1 (PC1), accounting for 69% of the total variation. The PC1 site score was significantly related to both periphyton and phytoplankton biomass, respectively accounting for 54 and 70% of the total variation in periphyton and phytoplankton data, whereas PC1 only accounted for 18% of the variation in epiphyton biomass. Periphytic and epiphytic biomass were negatively correlated with percent cover and species richness of submergent macrophytes, but phytoplankton biomass was not. We conclude that periphytic and planktonic chlorophyll a biomass are good indicators of human-induced water-quality degradation and recommend that both benthic and planktonic algal biomass should be routinely monitored as part of an effective wetland management program.

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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