scholarly journals Relationships between the Physico-chemical Water Parameters and Zooplankton Fauna of Tiga Lake, Kano, Nigeria

2014 ◽  
Vol 6 (1) ◽  
pp. 95 ◽  
Author(s):  
EO Akindele
Keyword(s):  
Water Parameters ◽  
Physico Chemical ◽  
Chemical Water

Occurrence and ecology of Geissleria declivis

Biologia ◽  
2015 ◽  
Vol 70 (1) ◽  
Author(s):  
Barbara Rakowska ◽  
Ewelina Szczepocka
Keyword(s):  
Water Quality ◽  
Geological Structure ◽  
Diatom Species ◽  
Ecological Analysis ◽  
Water Parameters ◽  
Physico Chemical ◽  
The World ◽  
Main Components ◽  
Chemical Water ◽  
Zone Water

AbstractIn the microbenthos of the Czarna Staszowska River (south-eastern Poland), the diatom Geissleria declivis (Hustedt) Lange-Bertalot & Metzeltin, a species rarely noted in Poland, but also in Europe and the world, was recorded. In this study, the taxonomic, morphological and ecological analysis of the diatom species is presented. Also, the specific geological structure of the region of Poland, and physico-chemical water parameters of the river where the species was now observed, are described. The water of that section of the river where G. declivis occurred is included in the oligosaprobic to beta-mesosaprobic zone (Water Quality Class I-II). Limestone and gypsum are the main components of the geological structure of the river valley. Accompanying species of G. declivis were: Achnanthes pusilla (Grun.) De Toni, Amphora copulata (Kütz.) Schoem. & Arch., Fragilaria brevistriata Grun. in Van Heurck, Fragilaria pinnata Ehr., Geissleria decussis (Hust.) Lange-B. & Metz., Hippodonta capitata (Ehr.) Lange-B., Metz. & Witk., Hippodonta costulata (Grun.) Lange-B., Metz. & Witk., Navicula concentrica Carter, Navicula cryptocephala Kütz., Navicula novaesiberica Lange-B., Navicula rostellata Kütz., Nitzschia archibaldii Lange-B., Parlibellus protractoides (Hust.) Witk., Lange-B. & Metz. Taxa that are indicators of very good water quality were: Achnanthes peragalli Brun & Heribaud, Achnanthes subatomoides (Hust.) Lange-B. & Arch., Achnanthidium kranzii (Lange-B.) Round & Bukht., Cymbopleura hybrida (Grun.) Kram., Navicula densilineolata (Lange-B.) Lange-B., Navicula notha Wallace, Nitzschia fibulafissa Lange-B. Taxa preferring waters rich in calcium and chalk were: Aneumastus stroesei (Ostrup) Mann & Stickle, Diploneis parma Cleve, Hippodonta lueneburgensis (Grun.) Lange-B., Metz. & Witk., Navicula gottlandica Grun. in Van Heurck, Navicula jakovljevicii Hust., Navicula moskalii Metz., Witk. & Lange-B., Sellaphora mutatoides Lange-B. & Metz., Sellaphora pseudopupula (Krasske) Lange-B. Navicula oppugnata Hust.

scholarly journals LAKE FITRI IN CHAD: SOCIO-ECONOMIC, ENVIRONMENTAL AND TECHNICAL ASPECTS OF FISHING AND DETERMINATION OF SOME PHYSICO-CHEMICAL WATER PARAMETERS

2020 ◽  
Vol 8 (8) ◽  
pp. 1073-1084
Author(s):  
Djibrine Adoum Oumar ◽  
◽  
Zongo Oumarou ◽  
Zongo Urbain ◽  
Tarnagda Bakary ◽  
...  
Keyword(s):  
Water Parameters ◽  
Technical Aspects ◽  
Physico Chemical ◽  
Chemical Water

scholarly journals Water Quality and Dynamic of Schistosomiasis Intermediate Host Snails in the Lake Areas, District of So-Ava, Southern Benin

2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Moudachirou Ibikounlé1 ◽  
Ablavi A. Onzo-Aboki ◽  
Elokou Alabi ◽  
Samoussou Dine Mahama ◽  
Samoussou Dine Mahama ◽  
...  
Keyword(s):  
Water Quality ◽  
Intermediate Host ◽  
Oxygen Demand ◽  
Control Programme ◽  
Freshwater Snails ◽  
Intermediate Hosts ◽  
Water Parameters ◽  
Physico Chemical ◽  
Physical And Chemical ◽  
Chemical Water

Objectives: Urinary schistosomiasis is known to be endemic in the lake Nokoué areas of the District of So-Ava. For the past ten years, the National Control Programme for Communicable Diseases of the Ministry of Health has been making efforts to control schistosomiaisis morbidity through mass drug treatment with Praziquantel. This study aimed to assess the diversity and dynamic of potential snails known as schistosomiasis intermediate hosts. Methodology and Results: This study was carried out for 12 months (from July 2015 to June 2016) and consisted in the periodical analysis of the physical and chemical water parameters (temperature, oxygen concentration, pH, nitrite and nitrate rates. Salinity, total dissolved solids (TDS) and, biochemical oxygen demand) in relation with diversity, distribution and relative abundance of freshwater snails (Bulinus forskalii, B. globosus and B. truncatus). To this end, seven harvesting sites on Lake Nokoué were, reasonably selected for monthly hydrobiological and malacological data monitoring. The results showed a variable correlation between the dynamic of schistosomiasis intermediate host snailsm and several physico-chemical water parameters. Bulinus globosus was negatively influenced by salinity and nitrate rates while B. forskalii was negatively influenced by pH, Oxygen, TDS, salinity and nitrate rates. The three species of freshwater snails were strongly influenced by the water temperature. Conclusion: The results suggest a seasonal schistosome transmission induced by the seasonal dynamic of intermediate host snails. Water quality seems appropriate to the development of host snails from December to March and would be the strong period of schistosomiasis transmission. However, furthermore studies will need for well understanding the dynamic transmission necessary for developing adapted strategy control.

Habitat requirements of the Charetum intermediae phytocoenoses in lakes of western Poland

Biologia ◽  
2007 ◽  
Vol 62 (6) ◽  
Author(s):  
Maciej Gąbka ◽  
Paweł Owsianny ◽  
Lubomira Burchardt ◽  
Tadeusz Sobczyński
Keyword(s):  
Species Composition ◽  
Humic Substances ◽  
Shallow Lakes ◽  
Habitat Requirements ◽  
Water Parameters ◽  
Trophic Condition ◽  
Habitat Gradients ◽  
Physico Chemical ◽  
Chemical Water

AbstractThe study presents habitat and phytosociological analyses of the Chara intermedia phytocenoses, rare described in Europe. 16 physico-chemical water parameters were analysed, coming from the samples taken in 20 phytocenoses of 13 lakes located in western Poland. The analysed community appeared in naturally shallow lakes representing last stages of the disappearance of glacial water basins. The study attempts to estimate the bioindicative value of the charophyta meadow Charetum intermediae in relation to its habitat. A particular attention has been paid to the determination of the habitat trophic condition, and to the concentration of elements connected with the hardness of water and the content of humic substances. The study shows crucial habitat gradients of the C. intermediae association, taking into account also the species composition of phytocenoses.

scholarly journals Environmental factors influencing the occurrence of freshwater snails in woodland water bodies

Biologia ◽  
2010 ◽  
Vol 65 (4) ◽  
Author(s):  
Aneta Spyra
Keyword(s):  
Environmental Factors ◽  
Water Bodies ◽  
Freshwater Snails ◽  
Upper Silesia ◽  
Water Parameters ◽  
Southern Poland ◽  
Factors Influencing ◽  
Physico Chemical ◽  
Woodland Ponds ◽  
Chemical Water

AbstractStudies were carried out in eight woodland water bodies that are situated in an urbanised area of Southern Poland (Upper Silesia). The aim of this study was to determine the influence of auto- and allochthonous plant detritus and exposure to sunlight on the structure of snail communities in woodland ponds. Among some physico-chemical water parameters, pH influenced the occurrence of snails, whereas sunlight caused an increase in diversity of the snail communities. In the total snail collection, 72.1% of specimens were gathered in sun-exposed sites. By the same degree of insolation more preferred by snails were the sites with allochthonic detritus. The snail fauna of subsidence ponds located inside a forest area differs from those occurring in urban agglomerations. The most conspicuous difference is the high numbers in three woodland ponds of Hippeutis complanatus (L.), which is rare in this area.

Assessment of Physico-Chemical Water Parameters Using Correlation Analysis: A Case Study of Gangapur Dam at Nashik District (M.s.) India

2011 ◽  
Vol 4 (3) ◽  
pp. 509-511
Author(s):  
Bharati Kolhe ◽  
◽  
S. P. Zambare S. P. Zambare ◽  
S. B. Andhale S. B. Andhale
Keyword(s):  
Correlation Analysis ◽  
Water Parameters ◽  
Physico Chemical ◽  
Chemical Water

Physico-chemical water properties and flora diversity under the old mining load influence (Rudnansky creek, Slovakia)

2015 ◽  
Vol 10 (2) ◽  
pp. 123-131
Author(s):  
Lenka Angelovičová ◽  
Zuzana Boguská ◽  
Danica Fazekašová
Keyword(s):  
Water Properties ◽  
Physico Chemical ◽  
Flora Diversity ◽  
Chemical Water

scholarly journals Real time monitoring of water Quality using IoT and Deep learning

2021 ◽  
Vol 297 ◽  
pp. 01059
Author(s):  
Saloua Senhaji ◽  
Mohamed Hamlich ◽  
Mohammed Ouazzani Jamil
Keyword(s):  
Water Quality ◽  
Deep Learning ◽  
Real Time ◽  
Environmental Protection Agency ◽  
Short Term Memory ◽  
Chemical Parameters ◽  
Water Parameters ◽  
Term Memory ◽  
Single Board Computer ◽  
Physico Chemical

Access to safe drinking water is one of the most pressing issues facing many developing countries. Water must meet Environmental Protection Agency (E.P.A.) requirements. The normal method of measuring physico-chemical parameters is to take samples manually and send them to the laboratory to check the water quality. In this paper, we proposed a new intelligent design of a real-time water quality monitoring system using Deep Learning technology. This system is composed of several sensors that allow us to measure water parameters (physico-chemical parameters), bacteriological parameters and organoleptic parameters) and to detect the presence of certain substances (undesirable substances, toxic substances) and of a single-board/mobile computer module, Internet and other accessories. Water parameters are automatically detected by the single-board computer. Raspberry Pi3 model B. The single board computer receives the data from the sensors and this data is sent to the web server using the Internet module. It is able to detect the water quality situation worldwide. The data will be analysed in real time. The application of deep learning to these areas has been an important research topic. The Long-Short Term Memory (LSTM) network has been shown to be well suited for processing and predicting large events with long intervals and delays in the time series. LSTM networks have the ability to retain long-term memory.

Sign in / Sign up

Export Citation Format

Share Document