The endohelminth fauna of barbel (Barbus barbus) correlates with water quality of the Danube River in Bulgaria

Parasitology ◽  
2009 ◽  
Vol 136 (5) ◽  
pp. 545-552 ◽  
Author(s):  
M. NACHEV ◽  
B. SURES
Keyword(s):  
Water Quality ◽  
Ecosystem Health ◽  
Danube River ◽  
Clear Correlation ◽  
Metazoan Parasites ◽  
Parasite Communities ◽  
Barbus Barbus ◽  
Polluted Sites ◽  
Prevalent Species

SUMMARYInfection of barbel with 10 species of metazoan parasites including 3 trematodes, 3 acanthocephalans and 4 nematodes was observed in fish collected from 3 localities in the Bulgarian part of the river Danube between summer 2004 and summer 2007. The composition as well as the diversity characteristics of the parasite communities were analysed seasonally and showed a clear correlation with the composition of the invertebrate fauna and water quality. The most prevalent species was the acanthocephalan Pomphorhynchus laevis, which was also the dominant species of the intestinal component communities at all sampling sites. The second most frequent parasite at all Danube localities was Rhabdochona hellichi, which occurred in significantly higher numbers at the less polluted sites. Overall, the diversity of helminth communities increased with decreasing levels of nutrients and pollutants at all sampling sites. Therefore, the composition and diversity of parasite communities may be used to characterize ecosystem health and integrity.

scholarly journals The Water quality of the Danube River and gravel pits in the Bratislava area (Slovakia)

2014 ◽  
Vol 6 (4) ◽  
pp. 203-210 ◽  
Author(s):  
Renáta Fľaková ◽  
Milan Seman ◽  
Hana Drahovská ◽  
Zlatica Ženišová ◽  
Alexandra Ďuričková
Keyword(s):  
Water Quality ◽  
Danube River ◽  
The Danube River ◽  
Gravel Pits

scholarly journals A NOTE ON THE ECOSYSTEM HEALTH OF A GLACIER-FED RIVER PINDER FROM CHAMOLI GARHWAL, UTTARAKHAND

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
K L Bisht ◽  
A K Dobriyal ◽  
H R Singh
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Fish Species ◽  
Ecosystem Health ◽  
Biological Productivity ◽  
Ecological Characteristics ◽  
Plankton Species ◽  
Population Quality

The paper deals with a summarized account of ecological characteristics and biological productivity of river Pinder which is well known for its water quality conducive for the most important schizothoracine fishery of Uttarakhand. It was observed that the low water temperature and clarity of water favours good populations of phytobenthos and macrozoobenthos which in their turn supports the population quality of fishes. Overall 32 plankton species, 23 macrozoobenthic and 24 fish species were recorded.

scholarly journals Water Quality of Four Major Lakes in Mississippi, USA: Impacts on Human and Aquatic Ecosystem Health

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 4999-5030 ◽  
Author(s):  
Padmanava Dash ◽  
Saurav Silwal ◽  
Julius Ikenga ◽  
James Pinckney ◽  
Zikri Arslan ◽  
...  
Keyword(s):  
Water Quality ◽  
Aquatic Ecosystem ◽  
Ecosystem Health

scholarly journals Communities of metazoan parasites of two fishes of the Proterorhinus genus (Actinopterygii: Gobiidae)

2009 ◽  
Vol 46 (3) ◽  
pp. 168-176 ◽  
Author(s):  
Yuriy Kvach ◽  
Mehmet Oğuz
Keyword(s):  
Parasite Species ◽  
The Black Sea ◽  
Intermediate Hosts ◽  
Great Tendency ◽  
Component Community ◽  
Metazoan Parasites ◽  
Parasite Communities ◽  
Marine Parasite ◽  
Nicolla Skrjabini

AbstractMetazoan parasite communities of two gobiids, Proterorhinus marmoratus and P. semilunaris, which are common small-sized fishes native for the Black Sea basin, were studied. The parasite component community of P. marmoratus is represented by 11 species (one monogenean, one cestode, five digeneans, two nematodes, and two acanthocephalans). P. semilunaris had 5 species (one monogenean, one cestode, one digenean, one nematode, and one acanthocephalan). Acanthocephaloides propinquus has a great tendency to join the infracommunity. The differences between the parasite component communities of two Proterorhinus gobies are explained by different quality of habitats and available intermediate hosts. The component community of parasites of P. marmoratus is formed by brackish-water and marine parasite species, and that of P. semilunaris consists of limnetic parasite species. The euryhaline G. proterorhini is the only parasite species found in both P. marmoratus and P. semilunaris. In both species of gobiids, the main abundant parasite species (A. propinquus in P. marmoratus and Nicolla skrjabini in P. semilunaris) infest the host by feeding on crustaceans.

scholarly journals ПРОГНОЗУВАННЯ ЯКОСТІ ВОДИ В РІЧКАХ ДУНАЙ ТА СІВЕРСЬКИЙ ДОНЕЦЬ ЗА ДОПОМОГОЮ ГЕОІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ

World Science ◽  
2019 ◽  
Vol 1 (11(51)) ◽  
pp. 45-49
Author(s):  
Васенко О. Г. ◽  
Брук В. В. ◽  
Карлюк А. А. ◽  
Свиридов Ю. В.
Keyword(s):  
Water Quality ◽  
Information System ◽  
Geographic Information System ◽  
Quality Indicators ◽  
Ammonia Nitrogen ◽  
Ammonium Nitrogen ◽  
Geographic Information ◽  
Danube River ◽  
Water Quality Indicators

For forecasting of the change of water quality in water object the geographic information system (GIS) of the ecological monitoring had been designed. The geographic information system was applied to analyze the water quality of the Danube and Seversky Donets. With the help of GIS, the main trends of changes in water quality indicators of the Danube Delta were identified. In the Danube River, for the most part, there was a tendency for improvement of water quality during the study period, the tendency for deterioration of water quality was determined only by the indicator of manganese. The tendency for deterioration of water quality was observed in the Siverskyi Donets River by the following indicators: suspended matter and ammonia nitrogen. The main trends of changes in water quality indicators have also been identified in the lakes (Chaika, Lychevoe), which influence the formation of water quality of the Siverskyi Donets River. In Lake Chaika there is a tendency to deteriorate in quality: weighed substances; nitrogen nitrate, chlorides and iron. In this case, the values of some indicators in Lake Chaika (BOD-5 and total iron), in Lake Lichovo (COD, BOD-5, nitrite nitrogen) and in the Siverskyi Donets River (overlying districts, ammonium nitrogen) will be several times higher fishery maximum permissible concentration.

scholarly journals Assessment of Surface Water Quality of Danube River in Terms of Usual Parameters and Correlation Analyses

2019 ◽  
Vol 70 (2) ◽  
pp. 398-406
Author(s):  
Romana Drasovean ◽  
Gabriel Murariu ◽  
Gigi Constantinescu ◽  
Adrian Circiumaru
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Pearson Correlation ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Danube River ◽  
Index Method

In order to determine the water quality of Danube River, in the Galati area, the Water Quality Index was calculated. Water Quality Index is a useful number of overall qualities of water. Galati is a Danube port city located in south-eastern of Romania. Samples were taken from 9 places along the Danube starting with the place where the Siret flows into the Danube to the Profiland Steel Plant. Profiland Steel is a company in Galai whose main activities are: sheet and zinc strips; treatment and coating of metals. The monitoring period was one year, from November 2016 to December 2017. Every month, thirty physical - chemical parameters were investigated. In this study the assessment of surface water quality was determined on the basis of various indicators such as: potassium and calcium ions, nitrites, nitrates, total nitrogen, ammonium, chlorides, total phosphorus, sulphates, cadmium, chrome, copper, lead, iron, zinc, density, dissolved oxygen, chemical oxygen demand (CCO-Cr), biochemical oxygen demand (CBO5), electrical conductivity, the density of the conductivity, resistivity, pH, salinity, total dissolved solids. The water quality index (WQI) has been calculated by using Weighted Arithmetic Water Quality Index Method. Two types of correlations were developed: Pearson correlation matrix and Spearman correlation.

Water Quality Index, a Useful Tool for Evaluation of Danube River Raw Water

2017 ◽  
Vol 68 (8) ◽  
pp. 1732-1739 ◽  
Author(s):  
Iuliana Paun ◽  
Florentina Laura Chiriac ◽  
Nicoleta Mirela Marin ◽  
Liliana Valeria Cruceru ◽  
Luoana Florentina Pascu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Danube River ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Water Quality Classification ◽  
Canadian Council ◽  
Ccme Wqi

The Danube River is the major source of drinking water supply for the cities in the southern part of Romania. The study was a descriptive-analytical one and lasted for 9 month. Samples were taken monthly between March 2016 and November 2016. Six sampling sites were selected to evaluate the spatial and temporal changes of water quality along the river. The samples were analyzed based on the standard methods for the following parameters: pH, conductivity (EC), NH4+, NO3-, Cl -, suspended solids, PO43-, SO42-, metals (Fe, Cd, Cr, Pb, Ni, Hg, As, Zn, Cu, Mn). The obtained values were compared with those imposed by the Romanian environmental legislation. An efficient and simplified method to express the quality of water used for consumption is provided by the Water Quality Index (WQI). WQI reflects the quality of water in a single value by comparing data obtained from the investigation of a number of physico-chemical parameters to the existing limits. The evaluation of water quality was performed using the Water Quality Index of the Canadian Council of Ministries of the Environment (CCME WQI). Water quality indices were classified as: excellent, good, medium, bad and very bad. The results indicated the water quality classification as �good� in all six sampling selected sites.

scholarly journals Water quality of an Ecuadorian Andean stream with the use of aquatic macroinvertebrates.

2016 ◽  
Vol 8 (1) ◽  
pp. 69-75
Author(s):  
Ildefonso Liñero Arana ◽  
Víctor H. Balarezzo ◽  
Héctor Eraso ◽  
Francisco Pacheco ◽  
Carolina E Ramos ◽  
...  
Keyword(s):  
Water Quality ◽  
Environmental Health ◽  
Human Impact ◽  
Ecosystem Health ◽  
Aquatic Invertebrates ◽  
Wiener Index ◽  
Aquatic Macroinvertebrates ◽  
Biotic Indices ◽  
Shannon Diversity

Ecuador is crossed by a network of rivers that originate mainly in the high Andean reliefs and pour into two basins: Amazon and Pacific. Many suffer from severe human impact. The main objective of the present study was to assess water quality of Mojarrero stream using biotic indices (BMWP/Col. and Shannon-Wiener index) as a tool to evaluate ecosystem health. During June, August and October 2014, bottom samples were taken at three stations. Each month and season three replicates of benthic aquatic invertebrates were taken on sandy-stony bottoms with a 0,3 mm mesh “D-net”. The fauna was represented by eleven orders and 29 families. The most abundant order was Coleoptera, representing 42,70% of total collected organisms, followed by Diptera (19,01%) and Ephemeroptera (11,38%). The most abundant family was Elmidae, with 568 individuals, (37,37% of total organisms), followed by Chironomidae (11,38%) and Baetidae (7,24%). Shannon diversity values ranged between 0,98 bits/ind. (June, EST. 2) and 2,23 bits/ind. (October, Est 1). The BMWP/Col. index values indicate that the river has a good environmental health on the high and low sections. The median section has some pollution, particularly during August and October.

scholarly journals Investigation of Heavy Metals (Pb, Cd, Cr, Cu, Hg and Fe) of the Turag River in Bangladesh

2015 ◽  
Vol 7 (2) ◽  
pp. 133-136
Author(s):  
R Afrin ◽  
MY Mia ◽  
S Akter
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Adverse Effects ◽  
River Water ◽  
Ecosystem Health ◽  
Concentration Level ◽  
Flowing Water ◽  
Detection Level ◽  
Small Doses

The study was conducted to assess the concentration level of heavy metals in water of the Turag river during the months from January to March, 2014. The level of Pb, Cd, Cr, Cu, Hg and Fe ranged from 0.002-0.005 ppm, BDL (Below Detection Level)-0.03 ppm, 0.007-0.024 ppm, 0.03-0.15 ppm, BDL (Below Detection Level)-0.00024 and 0.78-6.33 ppm, respectively. The concentration level of heavy metals in water did not exceed the permissible limit except Fe. This result was obtained because of river water is always flowing and metals cannot be accumulated in flowing water. For this reason a little amount of analyzed heavy metals were traced in water samples. But heavy metals have toxic properties, leading to adverse effects on human and ecosystem health even in small doses. So, the Turag river water is not safe for using different purposes and steps should be undertaken to improve the water quality of the river.DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22221 J. Environ. Sci. & Natural Resources, 7(2): 133-136 2014

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