scholarly journals Zooplankton Diversity in Relation to Physico-Chemical Parameters in Subtropical Pond of Jammu, Jammu and Kashmir, India

2019 ◽  
Vol 16 (2) ◽  
pp. 425-439
Author(s):  
Arti Sharma ◽  
Meenu Sharma
Keyword(s):  
Diversity Index ◽  
Mesh Size ◽  
Diversity Indices ◽  
Chemical Parameters ◽  
Jammu And Kashmir ◽  
Water Parameters ◽  
Silk Cloth ◽  
Wiener Diversity Index ◽  
Physico Chemical ◽  
Taxonomic Groups

The study aim to investigate the zooplankton diversity in relation to physico-chemical parameters of surface water in Barnai pond of Jammu district. Water parameters were analysed by following various standard methods, where as zooplankton were collected through the plankton net of standard bolting silk cloth no. 25 (mesh size 0.003-0.004 μm) and the total number of zooplankton was counted by using Drop count method. Statistical analysis of data involves Pearson’s Correlation analysis and various diversity indices viz; Shannon-Wiener diversity index (H´), Simpson’s Index (D), Margalef’s Index (d´) and Pielou’s Evenness (J). A total of 38 zooplankton taxa along with Nauplius larvae were observed belonging to 5 major taxonomic groups: Protozoa (6 species), Rotifera (21species), Cladocera (6 species), Copepoda (3 species) and Ostracoda (2species). Physico-chemical parameters of Barnai pond revealed well marked fluctuations with maxima and minima values of each parameter during specific seasons and zooplankton analysis revealed seasonal variations with an increase during summer and a fall during winter and monsoon seasons.

scholarly journals Occurrence and diversity of microalgae in phytoplankton collected from freshwater community ponds of Hooghly District, West Bengal, India

2019 ◽  
Vol 6 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Papiya Halder ◽  
Manojit Debnath ◽  
Samit Ray
Keyword(s):  
Light Intensity ◽  
West Bengal ◽  
Diversity Index ◽  
Winter Season ◽  
Late Summer ◽  
Diversity Indices ◽  
Chemical Parameters ◽  
Wiener Diversity Index ◽  
Physico Chemical ◽  
Multiple Variables

A study on diversity, seasonal occurrence, distribution percentage of microalgal taxa and physico-chemical parameters of five community ponds, located in Chinsurah town, Hooghly district of West Bengal, has been carried out. Correlation between occurrence of microalgal genera and some parameters of environment, physico-chemical nature of natural water bodies were explored by Canonical Correspondence Analysis (CCA). Diversity indices have been calculated using PAST software program. A total of 23 microalgal taxa belonging to four algal classes were recorded and the study indicated that the microalgal diversity vary with variation in physico-chemical parameters of water and light intensity. Out of these genera, occurrence of Chodatella sp. in late summer and Tetrallantos sp. and Synechocystis sp. in winter season were specific. In CCA, multiple variables (dissolved oxygen, water temperature, electrical conductivity, pH, light intensity and inorganic phosphorous) played a significant role in occurrence of microalgal taxa. Observation concluded that the Chlorophycean members were dominant throughout the study period and the Shannon–Wiener diversity index was highest for a site with large number of Chlorophycean member. This study will help in future to assess water quality.

scholarly journals Effect of water parameters on temporal distribution and abundance of zooplankton at Kaptai lake reservoir, Rangamati, Bangladesh

2018 ◽  
Vol 4 (4) ◽  
pp. 389-399
Author(s):  
Md Anowarul Haque ◽  
Md Rashed Un Nabi ◽  
Md Masum Billah ◽  
Abdulla Al Asif ◽  
Mohammed Rezowan ◽  
...  
Keyword(s):  
Fish Larvae ◽  
Diversity Index ◽  
Temporal Distribution ◽  
Seasonal Abundance ◽  
Water Parameters ◽  
Wiener Diversity Index ◽  
Physico Chemical ◽  
Water Ph ◽  
Chemical Conditions ◽  
Richness Index

Seasonal abundance of zooplankton in relation to different physico-chemical conditions of Kaptai lake has been studied. A total of four major groups of zooplankton were identified from study area of Kaptai lake during three seasons observation at pre-monsoon, monsoon and Post-monsoon. These four groups were categorized into rotifers, copepods, cladocerans and others (fish larvae, shrimp larvae, insects, mosquito larvae etc.). The mean abundance of group rotifers, copepods, cladoceras and others were 103, 84.67, 38.33 and 41.83 ind. L-1 respectively. The highest group was rotifers in terms of abundance and composition where compositions were recorded 38 % at three season’s observation. The lowest group was cladoceras in term of abundance and composition where compositions were recorded 14 %. The air temperature, water temperature, transparency, water pH, DO, BOD5, PO4-P, NO2-N, SiO3-Si, TSS, TDS, Alkalinity ranged between 21 and 27.50C, 23.5 and 31.50C, 0.8 and 3 m, 7.1 and 7.5, 5.72 and 8.58 mg/l, 8.55 and 12.87 mg/l, 3.22 and 4.13 μg/l, 0.992 and 1.19 μg/l, 161.18 and 201.15 μg/l, 0.28 and 0.48 g/l, 0.18 and 0.68 g/l, 40 and 60 ppm, respectively. Margalef richness index (d), Pielou’s evenness index (J'), Shannon-Wiener diversity index (H'), Simpson dominance index (λ) are analyzed by Primer V6 software to quantify the collected species. Through same software SIMPER, Cluster analysis also done to compare similarity between season. Asian J. Med. Biol. Res. December 2018, 4(4): 389-399

scholarly journals DIVERSITY AND POPULATION STRUCTURE OF MACROINVERTEBRATES IN THE GLACIER FED STREAM BALKHILA AT TILFARA FROM GARHWAL HIMALAYA

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Mohd Tariq ◽  
Chandra Bhanu Kotnala ◽  
Anoop Kumar Dobriyal
Keyword(s):  
Diversity Index ◽  
Ecological Factors ◽  
Seasonal Effect ◽  
Chemical Parameters ◽  
Wiener Diversity Index ◽  
Physico Chemical ◽  
Multivariate Cluster ◽  
The Relationship ◽  
Macrozoobenthic Community ◽  
Benthic Population

This paper deals with the study of macrozoobenthic community in the glacier fed stream Balkhila which is an important tributary of Alaknanda River. In this study it was found that the maximum macrozoobenthos were recorded in the month of February (387.5±106.5 units/m2 ) followed by January (382.2±144.7 units/m2 ) whereas, minimum in July (21.6±15.3 units/m2 ) and August (21.6±0.0 units/m2 ). The stream is represented by 15 genera belonging to 6 orders viz. Ephemeroptera (Baetis, Cinygmula, Caenis, and Heptagenia), Trichoptera (Glossosoma, Rhyachophila, Agapetus, Hydropsyche, Chimarra and Stenopsyche), Diptera (Antocha and Chironomus), Coleoptera (Psephenus), Odonata (Euphaea) and Plecoptera (Perla). The regression analysis and the correlation coefficient were used to show the relationship between macrozoobenthos and various physico-chemical parameters. The Shannon-Wiener diversity index was calculated to study the benthic diversity of the stream. In order to depict the homogeneity among different benthic orders, the multivariate cluster analysis was used. The Canonical correspondence analysis (CCA) was used to investigate the seasonal effect of detrimental ecological factors on benthic population.

scholarly journals Impact De L’exploitation Artisanale De La Sabliere De Toutsang Sur La Structure Des Communautes De Macroinvertebres Du Cours D’eau Doulahang A Dschang (Ouest Cameroun)

2017 ◽  
Vol 13 (23) ◽  
pp. 254
Author(s):  
Ngameni Tchamadeu Norbert ◽  
Asanga Patricia Fai ◽  
Mpoame Mbida ◽  
Kenko NKontcheu Daniel Brice
Keyword(s):  
Suspended Matter ◽  
Diversity Index ◽  
Mesh Size ◽  
Taxonomic Richness ◽  
Chemical Parameters ◽  
Monthly Basis ◽  
Temperature Conductivity ◽  
Physico Chemical ◽  
Invertebrate Community Structure ◽  
The Impact

The impact of wastewaters from the Toutsang sandpit (Dschang), both on water parameters and on benthic macro-invertebrate community structure of the Doulahang stream was studied from March 2015 to February 2016 on a monthly basis in three sampling stations named TS1, TS2 and TS3. The physico-chemical analysis were carried out according to standard protocols while the benthic macro-fauna was harvested using a haze net of 30 cm side and 400 μm mesh size. The analysis of physico-chemical parameters revealed that the introduction of wastewater from the sandpit at the TS2 station led to an increase of the temperature, conductivity, total dissolved solids, salinity, suspended matter, turbidity and colour. The wildlife inventory identified 63 taxa divided into 4 phyla, 6 classes, 13 orders and 31 families. The lowest values of the taxonomic richness (18 taxa, against 46 taxa and 47 taxa respectively to stations TS1 and TS3), the Shannon diversity index (2.48 bits / ind.) and the Pielou's evenness (0.62) were observed at station TS2 which received wastewaters from the sandpit. Similarly, the low values of the richness and abundance of the pollutionsensitive groups (Ephemeroptera-Trichoptera-Odonata) were recorded in this station. Significant negative correlations were found between some metrics (total taxonomic richness, taxonomic richness of the Diptera, Richness of Ephemeroptera-Trichoptera-Odonata, Taxonomic richness of insects, Relative abundance of Ephemeroptera-Trichoptera-Odonata, Shannon Weaver diversity index, Pielou's evenness) descriptors of the structure of benthic macro-fauna communities and physico-chemical parameters indicative of physical pollution such as turbidity, suspended matter and colour.

scholarly journals Distance Effects on Diversity and Abundance of the Flower Visitors of Ocimum kilimandscharicum in the Kakamega Forest Ecosystem

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Hellen K. Mandela ◽  
Mugatsia H. Tsingalia ◽  
Mary Gikungu ◽  
Wilbur M. Lwande
Keyword(s):  
Species Diversity ◽  
Diversity Index ◽  
Land Use Changes ◽  
Species Abundance ◽  
Diversity Indices ◽  
Forest Edge ◽  
Flower Visitors ◽  
Kakamega Forest ◽  
Species Invasions ◽  
Wiener Diversity Index

Pollination is an important ecosystem service in the maintenance of biodiversity and most importantly in food production. Pollination is on the decline due to habitat loss, exotic species invasions, pollution, overharvesting, and land use changes. This study analyzed the abundance and diversity of flower visitors’ of Ocimum kilimandscharicum in Kakamega forest with increasing distance from the forest edge. Data were collected through direct observation and sweep netting. Six study sites were identified along two transects each 2.5 km long and labeled A to F. Distance in metres from the forest edge to each site was A=221, B=72, C=83, D=198, E=113, and F=50. Sampling was done from 7:30 am to 4:00 pm, three days in a week for five months consecutively. Diversity indices of different flower visitors were calculated using the Shannon-Wiener diversity index. One-way analysis of variance was used to compare differences between sites and a two-sample t-test was used to identify mean significant differences in species diversity between the closest and the furthest sites. A total of 645 individuals belonging to 35 species were captured from 4 families. The highest diversity was at site F (H’= 2.38) which was closest to the forest edge and the lowest diversity was from site A (H’=1.44) which was furthest from the forest edge. Distance from the forest edge significantly influenced species diversity (F(3, 20)=14.67, p=0.024). Distance from the forest edge also significantly influenced species abundance between the furthest sites A, D, and E and the nearest sites F, B, and C to the forest edge (t=4.177; p=0.0312) and species richness (t=3.2893; p=0.0187). This study clearly demonstrates that Ocimum kilimandscharicum flower visitors play essential roles in pollination and their higher number of visits translates into higher numbers of seeds set. Many of these pollinators are associated with the forest and hence the need to conserve the Kakamega forest as a source pool for pollinators.

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.

scholarly journals Cyanobacterial blooms in kaliski region water reservoirs and water quality parameters / Zakwity sinicowe w zbiornikach okolic Kalisza a wskaźniki jakości wody

2015 ◽  
Vol 41 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Dominik Szczukocki ◽  
Radosław Dałkowski ◽  
Barbara Krawczyk ◽  
Renata Juszczak ◽  
Luiza Kubisiak-Banaszkiewicz ◽  
...  
Keyword(s):  
Light Exposure ◽  
Quality Parameters ◽  
Cyanobacterial Blooms ◽  
Cyanobacterial Cell ◽  
Chemical Parameters ◽  
Water Reservoirs ◽  
Nitrogen And Phosphorus ◽  
Water Parameters ◽  
Physico Chemical ◽  
Cyanobacterial Species

Abstract Cyanobacterial blooms occur frequently in artificial lakes, especially in water reservoirs with small retention exposition to anthropopressure. The abundant occurrence of cyanobacteria is accompanied by danger of oxygen imbalance in the aquatic environment and the secretion of toxins that are possible threat to human health and life. Cyanobacterial cell growth depends on a number of physical (temperature, light exposure), chemical (pH, concentration of compounds containing nitrogen and phosphorus) and biological (the presence of other organisms) factors. This paper presents the results of the analysis of water from reservoirs located in southern Wielkopolska region (Pokrzywnica-Szałe, Gołuchów and Piaski-Szczygliczka). Some important physico-chemical parameters of water samples taken from investigated reservoirs as well as cyanotoxins concentration were determined. Furthermore, the cyanobacterial species were identified. There was also an attempt made to correlate the water parameters with the cyanobacteria development and cyanotoxins production. On the basis of the results obtained in the analyzed season, it can be concluded that water from Pokrzywnica and Gołuchów reservoirs was rich in nutrients, hence the intense cyanobacterial blooms and cyanotoxins in water were observed

scholarly journals Impact of heated waters on water quality and macroinvertebrate community in the Narew River (Poland)

2017 ◽  
Vol 12 (1) ◽  
pp. 190-199 ◽  
Author(s):  
Elzbieta Krolak ◽  
Krzysztof Lewandowski ◽  
Zbigniew Kasprzykowski
Keyword(s):  
Diversity Index ◽  
Individual Characteristics ◽  
Macroinvertebrate Community ◽  
Water Parameters ◽  
Power Stations ◽  
Wiener Diversity Index ◽  
The Individual ◽  
The Impact ◽  
Dikerogammarus Haemobaphes ◽  
Sinanodonta Woodiana

AbstractThe effect of heated waters from coal-burning power stations on the water parameters and the occurrence of macroinvertebrates depends on the individual characteristics of the river to which the heated waters are discharged. The objective of the study was to assess the impact of heated water from the Ostrołęka Power Station on selected water properties and the macroinvertebrate community in the Narew River. Samples were collected in years: 2013-2016 along two river stretches: upstream and downstream of the canal. The water temperature was higher and the oxygen concentrations were lower at the downstream sites compared to the upstream sites of the canal. The values of conductivity, concentrations of nitrates, phosphates, chlorides and calcium were similar at the sampling sites. A total of 33 families of macrozoobenthos were found. The numbers of families were positively correlated with the temperature and conductivity and negatively correlated with oxygen. The heated waters were found to have no effect on the Shannon-Wiener diversity index. The inflow of heated waters increased the percentage of Gammaridae, represented by species Dikerogammarus haemobaphes (Eichwald, 1841) and decreased the percentage of Chironomidae. The presence of the thermophilous bivalve Sinanodonta woodiana (Lea, 1934) was noted downstream of the canal.

scholarly journals Seasonal distribution and population dynamics of limnic microalgae and their association with physico-chemical parameters of river Noyyal through multivariate statistical analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pandian Suresh Kumar ◽  
Jibu Thomas
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Sampling Site ◽  
Principal Component ◽  
Environmental Parameters ◽  
Diversity Indices ◽  
Population Diversity ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Physico Chemical

Abstract The present investigation embarks on understanding the relationship between microalgal species assemblages and their associated physico-chemical parameter dynamics of the catchment region of river Noyyal. Totally, 142 microalgae cultures belonging to 10 different families were isolated from five different sites during four seasons and relative percentage distribution showed that Scenedesmaceae (36.6%) and site S1 (26.4%) with predominant microalgae population. Diversity indices revealed that microalgae communities were characterized by high Hʹ index, lower Simpson dominance, and Margalef index value with indefinite patterns of annual variations. Results showed that variation in the physico-chemical parameters in each sampling site has its impact on the microalgae population during each season. Multivariate statistical analysis viz., Karl Pearson’s correlation coefficient, principal component analysis, and canonical correspondence analysis were applied on microalgae species data, to evaluate the seasonal relationship between microalgae and physico-chemical parameters. The findings of our study concluded that the physico- chemical parameters influenced the dominant taxa of microalgae Chlorellaceae, Scenedesmaceae and Chlorococcaceae in river Noyyal and gives a base data for the seasonal and dynamic relationship between environmental parameters and microalgae population.

scholarly journals Site-wise Mercury Levels in Ulhas River Estuary and Thane Creek near Mumbai, India and its Relation to Water Parameters

Our Nature ◽  
1970 ◽  
Vol 8 (1) ◽  
pp. 170-179 ◽  
Author(s):  
J.S. Menon ◽  
S.V. Mahajan
Keyword(s):  
Prime Factor ◽  
Mercury Level ◽  
River Estuary ◽  
Chemical Parameters ◽  
Heavy Load ◽  
Water Parameters ◽  
Industrial Pollutants ◽  
Physico Chemical ◽  
Positive Correlations ◽  
Thane Creek

Ulhas river estuary (73°14′E, 19°14′N to 72°54′E, 19°17′N) and Thane creek (72°55′E, 19°N to 73°E, 19°15′N) near Mumbai, India are highly polluted owing to the heavy load of industrial pollutants and sewage discharge. The traditional fisher-folk living along the banks of Ulhas river estuary and Thane Creek rely on these contaminated fish for their daily sustenance, thereby being exposed to heavy mercury pollution for several years. However, little attention has been given to the levels of mercury in water, its intake and exposure to those populations. In the present study, mercury levels in the waters of Ulhas river estuary and Thane creek has been analysed and its relation with other physico-chemical parameters have been studied. Mercury level was maximum in Wehele station and Alimgarh station with an average of 8.57 ng/ml and minimum at Diwe-Kewni station with 2.6 ng/ml. Vittawa and Airoli stations along Thane creek showed moderate levels with an average of 5.71 ng/ml. The reference site, Khadavli had Hg below the level of detection in the water samples. Study on Hg levels in water showed proximity to the source of discharge to be the prime factor for its elevated levels. Mercury in water depicted positive correlations with temperature and BOD and negative correlations with pH, salinity, hardness and DO.DOI: 10.3126/on.v8i1.4325

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