Surface water quality classification using data mining approaches: Irrigation along the Aladag River*

2021 ◽  
Author(s):  
Mohammad Taghi Sattari ◽  
Hajar Feizi ◽  
Muslume Sevba Colak ◽  
Ahmet Ozturk ◽  
Fazli Ozturk ◽  
...  
Keyword(s):  
Data Mining ◽  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Quality Classification ◽  
Water Quality Classification ◽  
Using Data

scholarly journals Assessment of Water Quality in the Lakes Along Colentina River

2015 ◽  
Vol 13 ◽  
pp. 194-199
Author(s):  
Petra Ionescu ◽  
Violeta Monica Radu ◽  
Elena Diacu ◽  
Ecaterina Marcu
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Surface Water ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Ammonium Nitrogen ◽  
Entry And Exit ◽  
Quality Classification ◽  
Water Quality Classification ◽  
Calcium Magnesium

The purpose of this study is to evaluate the water quality in the lakes along Colentina River according to Romanian regulations referring to the norms on surface water quality classification, MO 161/2006. To achieve this goal, two sampling sections (entry and exit points) for each lake have been established, and the following indicators have been determined: pH, water temperature, dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, nitrites, nitrates and ammonium nitrogen, total nitrogen, orthophosphates, total phosphorus, electrical conductivity, filterable residue, chlorides, sulphates, calcium, magnesium and sodium. Following this study, the variation of the concentrations of determined indicators in the two sampling sections for each lake has been assessed, as well as the classification into quality classes according to the before mentioned order.

scholarly journals Surface water quality in the Mastnik stream catchment area: The situation in the Czech countryside

Geografie ◽  
2018 ◽  
Vol 123 (4) ◽  
pp. 479-505
Author(s):  
Luboš Mrkva ◽  
Bohumír Janský
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Wastewater Treatment Plants ◽  
Stream Water ◽  
Surface Water Quality ◽  
Gradual Improvement ◽  
Stream Flows ◽  
Using Data ◽  
The Impact

Despite major investments into the remediation of wastewater, and the reduction of fertilizers, the quality of small river surface water in agricultural and rural regions of Czechia is still very low. The Mastník stream flows through an agricultural area before combining with the Vltava river; a portion of the Mastník stream water inevitably terminates in the Slapy Reservoir. The quality of the water has been analyzed using data from indicator concentrations from both the Vltava River Basin Authority study profiles, and the author’s monitoring profile. The data show that the steps that have been taken – primarily the construction of wastewater treatment plants – have led to a gradual improvement in the surface water quality by some parameters. Presently, a growing concentration of chlorophyll–α and a lack of dissolved oxygen are influencing the final quality of the water. In the case of the Mastník stream, it is particularly necessary to improve the remediation of wastewater from small households, and to reduce the impact of water erosion on agricultural soil.

scholarly journals State of spring phytoplankton and quality of the Kenozero waters in 2018

2019 ◽  
Vol 19 (1) ◽  
pp. 43-48
Author(s):  
Natalia Otchenasch ◽  
Gennadii Dvoryankin ◽  
Ekaterina Imant
Keyword(s):  
Water Quality ◽  
National Parks ◽  
Ecological Status ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Quality Classification ◽  
Water Quality Classification ◽  
Environmental Measures ◽  
Nature Preservation

Phytoplankton constitutes a key part of all aquatic ecosystems. It produces organic matter, thus forming the first level of food chains in water bodies. In addition, phytoplankton plays a major role in the water quality formation. The studies of algocoenosis always remain relevant, since the obtained data provides important information on the ecological status of water bodies. This information can subsequently be used for planning and implementing environmental measures, which are particularly significant for water bodies located in specially protected areas. National parks existing for the purposes of nature preservation, education and research are also designed for tourism, which makes their ecosystems more vulnerable. Population residing in such territories and its economic activity may also carry some environmental risks, which necessitates regular complex observations. This paper covers the state of spring phytoplankton community of Lake Kenozero in 2018, its qualitative and quantitative characteristics (species composition, abundance and biomass). In the course of research, we identified 70 phytoplankton taxa belonging to seven divisions: Bacillariophyta, Dinophyta, Chlorophyta, Cyanophyta, Chrysophyta, Xanthophyta and Euglenophyta. The dominant species complex included diatoms (Asterionellaformosa, Melosiragranulata, Tabellariafenestrata), representatives of Dinophyta (Gymnodinium sp.), as well as small euglenoids. Species diversity was estimated using the Shannon-Weaver index. Aquatic environment contamination was assessed, i.e. the saprobity index was calculated and the class of surface water quality was determined. According to the water quality classification of water bodies and watercourses by hydrobiological indicators, Lake Kenozero was assigned the second class of water quality (moderately polluted).

Evolution of a new surface water quality index for Karoon catchment in Iran

2011 ◽  
Vol 64 (12) ◽  
pp. 2483-2491 ◽  
Author(s):  
F. Babaei Semiromi ◽  
A. H. Hassani ◽  
A. Torabian ◽  
A. R. Karbassi ◽  
F. Hosseinzadeh Lotfi
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Quality Indices ◽  
Karoon River ◽  
International Agencies ◽  
Water Quality Classification ◽  
Control Decision

Water quality standards are developed worldwide by national and international agencies for pollution control decision-making. Use-based water quality classification criteria and Water Quality Indices (WQIs) also play an important role in the assessment of the suitability of water resources for various applications. The present study proposes a better overall index for water quality in Iran and its application in Karoon River by exploring the behavior and limitations of conventional methods for quality evaluation. For this purpose, six variables were employed. Water quality determinants of the new index include Dissolved Oxygen, Total Dissolved Solids, Turbidity, Nitrate, Fecal coliform and pH. Besides, the mathematical equations applied to transform the actual concentration values into quality indices have been formulated. This study compares a new index called the Iranian Water Quality Index with other pre-existing indices such as NSFWQI, Oregon, CPCB WQI, MDOE WQI, Kaurish and Younos WQI, and Ahmed Said WQI. Results revealed that the overall quality of the surface water falls under the ‘good’ class. A case study of Karoon River is made to illustrate the application of this new index system.

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