scholarly journals Grazing Potential—A Functional Plankton Food Web Metric for Ecological Water Quality Assessment in Mediterranean Lakes

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1274 ◽  
Author(s):  
Georgia Stamou ◽  
Matina Katsiapi ◽  
Maria Moustaka-Gouni ◽  
Evangelia Michaloudi
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Secchi Depth ◽  
Ecological Status ◽  
Fish Predation ◽  
Water Quality Assessment ◽  
Zooplankton Biomass ◽  
Ecological Water Quality

Grazing potential (GP, in % day−1) was estimated for the plankton communities of 13 Greek lakes covering the trophic spectrum, in order to examine its sensitiveness in discriminating different classes of ecological water quality. Lakes with high GP values exhibited high zooplankton biomass dominated by large cladocerans or/and calanoids while lakes with low GP values had increased phytoplankton biomass and/or domination of small-bodied zooplankton indicating intensive fish predation. GP successfully distinguished among ecological water quality classes (estimated using the phytoplankton water quality index PhyCoI) indicating its potential use as a metric for ecological water quality assessment. As a next step, PhyCoI index was modified to include GP as a metric in order to enhance the phytoplankton-based ecological status classification of lakes incorporating zooplankton as a supporting factor. The PhyCoIGP successfully assessed the ecological water quality in accordance with PhyCoI classification whereas it was significantly correlated with the eutrophication proxy TSISD based on Secchi Depth. Thus, we propose to use the modified phytoplankton index PhyCoIGP for monitoring the ecological water quality of lakes.

scholarly journals Water Quality Assessment of Sirsiya River

2013 ◽  
Vol 13 (2) ◽  
pp. 141-146 ◽  
Author(s):  
Binod Prasad Shah ◽  
Bhoj R Pant
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
River Water ◽  
Water Samples ◽  
Industrial Effluent ◽  
Water Quality Assessment ◽  
Chemical Characteristic ◽  
Oil And Grease ◽  
Industrial Corridor

The parameters such as temperature, PH, TSS, TDS, ammonia, phenol, cyanide, sulfide, oil and grease, chloride, DO, COD and BOD were taken to assess the water quality of Sirsiya river, central southern Nepal. Water samples were collected from upstream to downstream from the point receiving industrial effluent to Sirsiya river. It receives wastewater burden of more than 250 industries along Bara/Parsa industrial corridor. All the parameters except oil and grease were found within the generic standard. The study revealed that the physic-chemical characteristic of the river water was changing as a result of the discharge of untreated effluents from different industries. This may impact on water quality of Sirsiya river and also pose human health problems. Nepal Journal of Science and Technology Vol. 13, No. 2 (2012) 141-146 DOI: http://dx.doi.org/10.3126/njst.v13i2.7727

scholarly journals AUTOMATIC WATER OBJECTS CLASSIFICATION AND NATURAL WATER QUALITY ASSESSMENT

2015 ◽  
Vol 2 ◽  
pp. 56 ◽  
Author(s):  
Mikhail Zobkov
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Natural Water ◽  
Trophic State ◽  
Water Quality Assessment ◽  
Water Quality Evaluation ◽  
Water Object ◽  
Total Phosphorous ◽  
Classification Parameter

Assessment of water quality and classification of water object plays significant role in an environmental and ecology study. Water quality evaluation by hydrochemical parameters is fairly difficult and required a long period of time. Automatic expert system was created to solve this problem. Automatization of objects classification and quality assessment for humus zone based on Karelian water bodies research data are presented in this study. Automation algorithms of the surface water geochemical classification based on the principal chemical transactions was obtained during research. Classification based on implicit scaling data by classification parameter. Alkalinity, pH, huminity, Fecom and total phosphorous were chosen as the main classification parameters. For classification by alkalinity were used alkalinity and pH, for huminity classification were used coefficient of huminity – Hum? Color OD?C Mn and Fecom, for trophic state were used huminity class and total phosphorous concentration. The water objects distribution by huminity, alkalinity and trophic state was obtained and basic geochemical classes were picked out. Natural water quality was assessed as combination of geochemical classes. Results of research presented as maps and trends of geochemical classes and natural water quality distribution over the area of Republic of Karelia.

scholarly journals Water Quality Assessment of Gowrivakkam Lake

2019 ◽  
Vol 8 (12S) ◽  
pp. 1066-1067
Keyword(s):  
Water Quality ◽  
Natural Resources ◽  
Quality Assessment ◽  
Lake Water ◽  
Water Quality Assessment ◽  
Physicochemical Parameter ◽  
The Earth ◽  
Different Parts

Water is an important precious natural resources on the earth. It is used in irrigation, industries and domestic usage. In this study of water quality assessment of Gowrivakkam lake was carried out. Total of 8 samples was collected from different parts of the Gowrivakkam lake and analysis for various physicochemical parameter like as pH, Alkalinity, Hardness, Chloride, TDS, Fluoride, Ammonia, Phosphate and Nitrite. The analyzed parameter were compared with BIS standards. Quality of lake water in the study area was calculated. The WQI of this lake was found to be good. Therefore, the water can be used only after treatment.

Fuzzy Hierarchy Comprehensive Evaluation of Water Quality in Different Lake Regions of Taihu Lake

2011 ◽  
Vol 356-360 ◽  
pp. 844-850
Author(s):  
Li Gu ◽  
Zu Lin Hua ◽  
Bo Hong ◽  
Ya Wei Li ◽  
Yan Gen
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Taihu Lake ◽  
Comprehensive Evaluation ◽  
Water Quality Assessment ◽  
Hydrodynamic Characteristics ◽  
Lake Morphology ◽  
Center Area ◽  
Fuzzy Hierarchy

Taihu Lake can be divided into several different lake regions such as bay area, center area, lakeshore area and etc. according to the hydrodynamic characteristics and the lake morphology. In the year of 2010, water quality were measured in 17 sampling points, consisting of 8 points in the Zhushan Lake bay, 3 points in the western lakeshore area, and 6 points in the center area. The fuzzy hierarchy comprehensive evaluation model was used to assess the water quality in different lake regions on the basis of the measured data. This method is a combination of fuzzy evaluation to determine membership degree and Analytic Hierarchy Process (AHP) to determine weight. AHP can be further reduced to these steps such as the goal defining, hierarchy establishing, judgment matrix building, hierarchy single ranking, hierarchy general ranking and uniformity inspecting. The results show that water quality of Zhushan Lake bay is in class Ⅴ except for some points in class Ⅳ. Water quality of center area is between class Ⅱand Ⅳ, and that of lakeshore area is in class Ⅴ. The water quality assessment on the different lake regions by this method can more practically reflect the water environmental status of Taihu Lake. This works contributed to the improvement of water quality assessment exactness and lake eutrophication controlling in the situation of the lake with large area.

Impact of abundance data errors on the uncertainty of an ecological water quality assessment index

2016 ◽  
Vol 60 ◽  
pp. 746-753 ◽  
Author(s):  
Sacha Gobeyn ◽  
Elina Bennetsen ◽  
Wout Van Echelpoel ◽  
Gert Everaert ◽  
Peter L.M. Goethals
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Assessment Index ◽  
Data Errors ◽  
Abundance Data ◽  
Ecological Water Quality

scholarly journals Quality Assessment of Some Freshwater Resources Located in Bucharest and Surrounding Areas I. Water Quality Assessment of Herastrau, Pantelimon and Mogosoaia Lakes

2019 ◽  
Vol 70 (8) ◽  
pp. 2889-2896 ◽  
Author(s):  
Petra Ionescu ◽  
Violeta Monica Radu ◽  
Gyorgy Deak ◽  
Elena Diacu ◽  
Ecaterina Marcu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Assessment ◽  
Water Samples ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Freshwater Resources ◽  
Surrounding Areas

The quality assessment of the aquatic environment from some freshwater resources situated in Bucharest and Ilfov County - Romania has been performed in an extended study and data obtained will be presented in several papers. This first paper presents a case study on water quality assessment of the Mogosoaia, Herastrau and Pantelimon Lakes, lakes built on the Colentina River. Two water and sediment sampling campaigns were conducted in the summer and autumn 2016, 29 specific parameters were determined for water samples and heavy metals content for sediment samples. The obtained results for water samples allowed the classification of lakes water in quality classes and the heavy metals values for sediments were compared to the standards of chemical quality, according to the national legislation M.O. 161/2006. Furthermore, for an overview of water quality, the Water Quality Index (WQI) method was used, where the indicators were grouped into two categories: the first category took into account 18 quality parameters (WQI-1) and the second considered heavy metals content (WQI-2).

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