Exploratory Analysis of Population Genetic Assessment as a Water Quality Indicator

1995 ◽  
Vol 30 (1) ◽  
pp. 36-46 ◽  
Author(s):  
S.A. Fore ◽  
S.I. Guttman ◽  
A.J. Bailer ◽  
D.J. Altfater ◽  
B.V. Counts
Keyword(s):  
Water Quality ◽  
Quality Indicator ◽  
Population Genetic ◽  
Exploratory Analysis ◽  
Water Quality Indicator ◽  
Genetic Assessment

Exploratory Analysis of Population Genetic Assessment as a Water Quality Indicator

1995 ◽  
Vol 30 (1) ◽  
pp. 24-35 ◽  
Author(s):  
S.A. Fore ◽  
S.I. Guttman ◽  
A.J. Bailer ◽  
D.J. Altfater ◽  
B.V. Counts
Keyword(s):  
Water Quality ◽  
Quality Indicator ◽  
Population Genetic ◽  
Exploratory Analysis ◽  
Water Quality Indicator ◽  
Genetic Assessment

scholarly journals Pepper mild mottle virus as a water quality indicator

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Masaaki Kitajima ◽  
Hannah P. Sassi ◽  
Jason R. Torrey
Keyword(s):  
Water Quality ◽  
Quality Indicator ◽  
Mottle Virus ◽  
Pepper Mild Mottle Virus ◽  
Water Quality Indicator

Emerging contaminants of public health significance as water quality indicator compounds in the urban water cycle

2014 ◽  
Vol 71 ◽  
pp. 46-62 ◽  
Author(s):  
Amrita Pal ◽  
Yiliang He ◽  
Martin Jekel ◽  
Martin Reinhard ◽  
Karina Yew-Hoong Gin
Keyword(s):  
Public Health ◽  
Water Quality ◽  
Quality Indicator ◽  
Emerging Contaminants ◽  
Water Cycle ◽  
Urban Water ◽  
Water Quality Indicator ◽  
Public Health Significance ◽  
Health Significance ◽  
Urban Water Cycle

Hybrid soft computing approach for determining water quality indicator: Euphrates River

2017 ◽  
Vol 31 (3) ◽  
pp. 827-837 ◽  
Author(s):  
Jing Li ◽  
Husam Ali Abdulmohsin ◽  
Samer Sami Hasan ◽  
Li Kaiming ◽  
Belal Al-Khateeb ◽  
...  
Keyword(s):  
Water Quality ◽  
Soft Computing ◽  
Quality Indicator ◽  
Euphrates River ◽  
Water Quality Indicator ◽  
Computing Approach

scholarly journals SOFTWARE FOR CALCULATING A WATER QUALITY INDICATOR SPECIFIC TO THE AMAZON REGION

2021 ◽  
Vol 9 (3) ◽  
pp. 248-261
Author(s):  
A. M. F. de Souza ◽  
S. F. P. Pereira ◽  
L. P. Santos ◽  
C. S. e Silva ◽  
R. M. Rocha ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Indicator ◽  
Quality Parameters ◽  
Web Interface ◽  
Natural Ecosystems ◽  
Water Quality Indicator ◽  
Oxidation Reduction ◽  
Oxidation Reduction Potential

The quality of the water in the Amazon's reservoirs is of fundamental importance for natural ecosystems, biota, and for the region's population. Maintaining the water quality involves long-term monitoring programs established by the requirements of Brazilian legislation. A web interface may facilitate the use of monitoring results routinely, which allows periodic insertion of previously selected water quality parameters results, to finally provide a simple and direct way to evaluate the water quality. The general objective of this study was to develop a software based on a water quality indicator (WQI) system considering chemical, physical-chemical, and biological parameters evaluated in four seasonal periods in Samuel dam. Multivariate analysis was used to select 10 significant variables (oxidation-reduction potential, dissolved oxygen, total dissolved solids, chlorophyll a, phosphate, Ba, Ca, Fe, Na, and Sn). The web software added innovation to the project, enabling to storage of data from analysis of field-collected samples in an organized and safe way in a database, in addition to speeding up the calculation of the WQI, making it possible to classify the water quality more quickly and accurately.

Comparison and Verification of Bacterial Water Quality Indicator Measurement Methods Using Ambient Coastal Water Samples

2006 ◽  
Vol 116 (1-3) ◽  
pp. 335-344 ◽  
Author(s):  
John F. Griffith ◽  
Larissa A. Aumand ◽  
Ioannice M. Lee ◽  
Charles D. Mcgee ◽  
Laila L. Othman ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Water ◽  
Water Samples ◽  
Quality Indicator ◽  
Measurement Methods ◽  
Water Quality Indicator ◽  
Indicator Measurement

scholarly journals Abundance of Meiofauna and Physical-Chemical Parameters as Water Quality Indicator

2019 ◽  
Vol 24 (2) ◽  
pp. 81
Author(s):  
Muh Sri Yusal ◽  
Muh Aris Marfai ◽  
Suwarno Hadisusanto ◽  
Nurul Khakhim
Keyword(s):  
Water Quality ◽  
Quality Indicator ◽  
High Growth ◽  
Nitrate Content ◽  
Benthic Organism ◽  
Chemical Parameters ◽  
Water Quality Indicator ◽  
Physical Chemical ◽  
High Level ◽  
Meiofauna Abundance

The zone of Losari Coast is an icon of Makassar city, however increase activity of surrounding communities causes a decrease in the water quality. Meiofauna is an effective benthic organism used as an indicator of water quality. This study assessed the meiofauna abundance and physical-chemical parameters as water quality indicator in the Losari Coast, Makassar. The sampling method in this study was purposive sampling. The resuts showed that total meiofauna abundance identified was 66791 indv.m-2, composed of 12 phylum and 91 species or genera. Stations at the estuary of the Jeneberang and Tallo River are two sites with high level of abundance, this condition allows presence of organic contaminants triggers the high growth of meiofauna in these locations. Dissolved Oxygen is below its supposed level in waters. Acidity, phosphate and nitrate content at some of research stations exceed the threshold of their allowed presence in waters set by Indonesia government. Ostracoda, oligochaeta, polychaeta, tunicata and ciliophora are phylums with a high level of abundance, because the phylum has  high adaptability to pollutant. Good water quality is indicated by a variety of biota living in the waters, the range of diversity and uniformity indices shows that meiofauna species are categorized highly diverse and evenly distributed. The dominance index shows that there is no species was dominant, except stations around  Losari reclamation project. Temperature, current velocity, depth, brightness, salinity, pH, DO, nitrate-seawater, and phosphate-seawater correlate with meiofauna abundance. The results as a consideration for the management or monitoring of coastal environments.

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