Spatial and temporal dynamics of dissolved nutrients and factors affecting water quality of Chilika lagoon

2019 ◽  
Vol 12 (7) ◽  
Author(s):  
Sadaf Nazneen ◽  
N. Janardhana Raju ◽  
Sughosh Madhav ◽  
Arif Ahamad
Keyword(s):  
Water Quality ◽  
Temporal Dynamics ◽  
Chilika Lagoon ◽  
Dissolved Nutrients ◽  
Factors Affecting ◽  
Spatial And Temporal Dynamics

scholarly journals Water quality in two Australian dryland rivers: spatial and temporal variability and the role of flow

2010 ◽  
Vol 61 (8) ◽  
pp. 864 ◽  
Author(s):  
Fran Sheldon ◽  
Christine S. Fellows
Keyword(s):  
Water Quality ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Spatial And Temporal Variability ◽  
Quality Guidelines ◽  
Spatial And Temporal Dynamics ◽  
Flow Phase ◽  
Ecological Patterns ◽  
Patterns And Processes ◽  
Dryland Rivers

Water quality, along with hydrology, plays an important role in the spatial and temporal dynamics of a range of ecological patterns and processes in large rivers and is also often a key component of river health assessments. Geology and land use are significant drivers of water quality during flow periods while during periods of no-flow, local-scale factors such as evaporation, groundwater influence and the concentration and precipitation of compounds are important. This study explored the water quality changes in two Australian dryland rivers, the Cooper Creek (Lake Eyre Basin) and the Warrego River (Murray–Darling Basin), across different hydrological phases over several years. Water quality varied both spatially and temporally; the greatest spatial variability occurred during the no-flow phase, with temporal changes driven by flow. Concentrations of major anions and cations also varied spatially and temporally, with an overall cation dominance of calcium and magnesium and an anion dominance of bicarbonate. This bicarbonate dominance contrasts with previous data from inland lentic systems where sodium chloride was found to dominate. Such extreme spatial and temporal variability hampers successful derivation of water quality guidelines for these variable rivers and suggests such guidelines would need to be developed with respect to ‘flow phase’.

scholarly journals Factors affecting decomposition rates of chironomid (Diptera) pupal exuviae

2014 ◽  
Author(s):  
Rathi G. Kavanaugh ◽  
Alexander T. Egan ◽  
Leonard C. Ferrington, Jr.
Keyword(s):  
Water Quality ◽  
Microbial Activity ◽  
Chironomus Riparius ◽  
Nutrient Concentrations ◽  
Biological Degradation ◽  
Decomposition Rates ◽  
Dissolved Nutrients ◽  
Pupal Exuviae ◽  
Factors Affecting ◽  
Process Decomposition

<p>Collections of floating chironomid pupal exuviae are used to monitor water quality and assess ecological conditions. Factors controlling exuviae sinking rates are not well known, although they should have an effect on conclusions that can be drawn from collections. The current study was conducted to determine the rate of sinking under controlled laboratory conditions using water from three streams with different nutrient levels. Sinking rates ranged from less than a day to seven days, depending on microbial activity, nutrient concentrations, temperature and turbulence. Results also varied by genus, with pupal exuviae of <em>Chironomus riparius</em>, <em>Diamesa nivoriunda</em>, <em>Orthocladius</em> (<em>Euorthocladius</em>) <em>thienemanni </em>and <em>Eukiefferiella </em>sp. used in experiments. Four species of bacteria and eight genera of fungi colonized and metabolized exuviae, with bacteria dominant early and fungi dominant later in the decomposition process. Decomposition was faster in lightly chitinized abdominal conjunctive areas, which resulted in exuviae breaking apart and sinking. Examination of untreated, dewaxed and dewaxed-deproteinized exuviae indicated that untreated exuviae sank faster. Waxes appeared important for colonization and initial microbial metabolization was delayed when waxes were removed. Results confirm the importance of biological degradation of exuviae in determining floatation times. We predict that streams and other waterbodies with high dissolved nutrients will result in rapidly sinking exuviae, while exuviae in low nutrient waterbodies will float longer.</p><p><em>Article submitted 1. October 2014, accepted 18. November 2014, published 22. December 2014.</em></p>

scholarly journals Factors affecting lean, wet-season water quality of Tilaiya reservoir in Koderma District, India during 2013–2017

Water Science ◽  
2020 ◽  
Vol 34 (1) ◽  
pp. 85-97
Author(s):  
Arun Kumar Pramanik ◽  
Deepanjan Majumdar ◽  
Abhik Chatterjee
Keyword(s):  
Water Quality ◽  
Wet Season ◽  
Factors Affecting

scholarly journals Understanding Mosquito Surveillance Data for Analytic Efforts: A Case Study

2021 ◽  
Author(s):  
Heidi E Brown ◽  
Luigi Sedda ◽  
Chris Sumner ◽  
Elene Stefanakos ◽  
Irene Ruberto ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
National Level ◽  
Surveillance Data ◽  
Mosquito Vector ◽  
Vector Surveillance ◽  
Mosquito Surveillance ◽  
Spatial And Temporal Dynamics ◽  
Prediction And Forecasting

Abstract Mosquito surveillance data can be used for predicting mosquito distribution and dynamics as they relate to human disease. Often these data are collected by independent agencies and aggregated to state and national level portals to characterize broad spatial and temporal dynamics. These larger repositories may also share the data for use in mosquito and/or disease prediction and forecasting models. Assumed, but not always confirmed, is consistency of data across agencies. Subtle differences in reporting may be important for development and the eventual interpretation of predictive models. Using mosquito vector surveillance data from Arizona as a case study, we found differences among agencies in how trapping practices were reported. Inconsistencies in reporting may interfere with quantitative comparisons if the user has only cursory familiarity with mosquito surveillance data. Some inconsistencies can be overcome if they are explicit in the metadata while others may yield biased estimates if they are not changed in how data are recorded. Sharing of metadata and collaboration between modelers and vector control agencies is necessary for improving the quality of the estimations. Efforts to improve sharing, displaying, and comparing vector data from multiple agencies are underway, but existing data must be used with caution.

scholarly journals The impact of rainfall on drinking water quality in Antananarivo, Madagascar

2019 ◽  
Author(s):  
Alexandra Bastaraud ◽  
Emeline Perthame ◽  
Jean-Marius Rakotondramanga ◽  
Jackson Mahazosaotra ◽  
Noro Ravaonindrina ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Low Income ◽  
Temporal Dynamics ◽  
Drinking Water Quality ◽  
Population Pressure ◽  
Direct Effects ◽  
Climate Conditions ◽  
The Impact

AbstractLow-income cities that are subject to high population pressure and vulnerable to climate events often have a low capacity to continuously deliver safe drinking water. Here we report the findings of a 32-year investigation of the temporal dynamics of indicators of drinking water quality in the city of Antananarivo, where we assess the long-term evolution of supplied water quality and characterize the interactions between climate conditions and the full-scale supply system. A total of 25,467 water samples were collected every week at different points in the supplied drinking water system. Samples were analyzed for total coliforms (TC), Escherichia coli (EC), intestinal Enterococci (IE), and spores of Clostridia (SSRC). Nine-hundred-eighty-one samples that were identified as positive for one or more indicators were unevenly distributed across the series. The breakpoint method identified four periods when the time series displayed changes in the level and profile of contamination (i) and the monthly pattern of contamination (ii), with more direct effects of rainfall on the quality of supplied drinking water. The modeling showed significantly different lags among indicators of bacteria occurrence after cumulative rainfall, which range from 4 to 8 weeks. Among the effects of low-income urbanization, a rapid demographic transition and urban watershed degradation are progressively affecting the quality of supplied water and resulting in the more direct effects of rainfall events.

scholarly journals Spatial and temporal dynamics of water quality in Batticaloa lagoon in Sri Lanka

2017 ◽  
Vol 28 (3) ◽  
pp. 281
Author(s):  
M. Sugirtharan ◽  
S. Pathmarajah ◽  
M. I. M. Mowjood
Keyword(s):  
Water Quality ◽  
Sri Lanka ◽  
Temporal Dynamics ◽  
Spatial And Temporal Dynamics

scholarly journals Analysis of some aspects of water quality of Lake Naivasha

2017 ◽  
Vol 6 (1) ◽  
pp. 2001
Author(s):  
James Last Keyombe* ◽  
Edna Waithaka
Keyword(s):  
Water Quality ◽  
Physicochemical Parameters ◽  
Nutrient Loading ◽  
The Other ◽  
Lake Naivasha ◽  
Chemical Parameters ◽  
Dissolved Nutrients ◽  
Physico Chemical ◽  
Comparison Of The Results

In-depth analyses of physicochemical parameters and dissolved nutrients in Lake Naivasha was done during the dry (June 2014) and wet seasons (May and April 2016). A comparison of the results was made between the two seasons. Dissolved oxygen in Lake Naivasha was higher in comparison to other fresh water lakes within Kenya while relative stability was noted in the other physico-chemical parameters (pH, temperature and conductivity). Results also show that Lake Naivasha is phosphorus limited aquatic system with measurements ranging between 0.07 – 0.23 mg/l in March and 0.09 – 0.83 mg/l in April 2016. Nitrates ranged between 0.10 mg/l – 0.30 mg/l in March 2016 while in April no Nitrates were detected in the water samples. Sources of nutrient loading into the lake should be investigated and proper measure to be taken for sustainability of Lake Naivasha.

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