scholarly journals Study of quality of water pond sebkha Oran in period of low-water mark using physic-chemical parameters with Chadha’s diagram and Larson Index

2014 ◽  
Vol 30 (3) ◽  
pp. 1125-1132
Author(s):  
Boualla Nabila
2009 ◽  
Vol 61 (3) ◽  
pp. 501-512 ◽  
Author(s):  
Valentina Slavevska-Stamenkovic ◽  
T. Stafilov ◽  
S. Smiljkov ◽  
M. Paunovic ◽  
S. Hristovski

The aim of the paper is to evaluate the quality of water of the Mantovo Reservoir (Southeast Macedonia)based on physico-chemical parameters and the macrozoobenthos. Monthly sampling was performed during 2003 and 2004. Temperature and DO depth profile data indicate that the Mantovo Reservoir is a dimictic lake. Based on mean nutrient concentrations, the Mantovo Reservoir can be considered as being phosphorus-deficient. During the summer stratification, very high concentrations of Mn (2,819 ?g/l)and Cu (147.6?g/l)were detected in the lower profundal. Limnodrilus hoffmeisteri was the dominant species, which indicates the presence of organic pollution. Dominance of Chaoborus crystallinus and decline in abundance of L. hoffmeisteri in the lower profundal indicate a deterioration of environmental status in the deepest part of the lake.


2017 ◽  
Vol 2 (6) ◽  
pp. 42
Author(s):  
Abdulkadir A. Gidado ◽  
Ibrahim Halliru ◽  
Christiana Anawuese Kendeson ◽  
Yusuf Abdullahi

In a bid to ascertain the quality of water for human consumption in Kashere Metropolis, essential physico-chemical parameters were evaluated on samples of drinking water obtained from boreholes, pond and wells located at densely populated areas, labelled as: Kashere cattle market Pond, KP; Kashere cottage Hospital Borehole, HB; Kashere Market Borehole, MB; Federal University, Kashere (FUK) campus Borehole, CB; Kashere cottage Hospital Well, HW; Kashere Market Well, MW and FUK campus Well, CW. Standard procedure for the determination of chemical and physical characteristics of the water samples were used. The results of the investigated parameters in the samples were as follows: ρH 6.61‒7.96, Turbidity 0.0‒2568 FTU, Electrical Conductivity 60.5‒1151 Mhocm-1, Total Dissolved Solids (TDS) 25.9‒518.0 mgL-1, Ca 0.0033‒0.5446 ppm, Mg 0.0793‒1.2215 ppm, Cd 0.0010‒0.0030 ppm, Zn 0.0024‒0.l054 ppm, Pb 0.0002‒0.0026 ppm and Fe 0.0044‒0.5649 ppm. Except for the concentration of Fe (in CB; 0.5649 ppm), all the analyzed minor and major cations in the water samples were in very low concentration and below the permissible limits of WHO standard guidelines values for drinking water.  It is recommended that, water from the pond should be properly treated before consumption due to its high turbidity.  Also periodic assessment of the quality of drinking water from these water sources should be conducted, to ascertain that they are not contaminated by either or both organic and inorganic pollutants.


1999 ◽  
Vol 14 (3) ◽  
pp. 666-675 ◽  
Author(s):  
I. Vorbeck-Meister ◽  
R. Sommer ◽  
F. Vorbeck ◽  
W. Horl

1988 ◽  
Vol 64 (1) ◽  
pp. 52-58 ◽  
Author(s):  
J. A. Nicolson

Streams flowing from six small basins (100-450 ha), dominated or originally dominated by black spruce stands growing on sites with shallow soil over bedrock, were monitored for seven years (1978-1984) near Lake Nipigon, Ontario. Three basins were left uncut. Three basins were harvested, one by patch-cutting, one by clearcutting, and one by stripcutting (in a three-cut pattern, with cutting in 1977, 1979 and 1981). Comparison of streamwater from harvested and uncut basins indicated a greater water yield from the harvested basins, as well as differences in several chemical parameters. Specific conductance, alkalinity, Ca2+, Mg2+, K+, Na+, and [Formula: see text] concentration increases were statistically significant. Nitrate-nitrogen and total nitrogen (TN) levels generally decreased, the former significantly; pH, [Formula: see text], Cl−, [Formula: see text], [Formula: see text] and total phosphorus (TP) changes were not signficiant.


2019 ◽  
Vol 1 (2) ◽  
pp. 107-113
Author(s):  
Andi SETIAWAN ◽  
Ni Luh Gede Ratna JULIASIH ◽  
Wawan ABDULAH

Traditional shrimp farmers at Sriminosari village still have problem to improve the productivity of their shrimp pond. Based on observation in the field, the low productivity of shrimp pond mainly due to the quality of water pond. Technology of the internet of things (IoT) is an alternative way to monitor some parameter their quality of water such as pH and temperature. Implementation of IoT will give a simple way to monitor the quality of water in a real time and continues. Technically, technology of IoT is not so expensive and easy to used for collecting data of quality water. So it is acceptable to implanted at Sriminosari village and useful to improve productivity shrimp farmer at Sriminosari village. Furthermore, information from IoT data will help farmer shrimp to reduce the risk in their business. Starting from a forum disscussion group (FGD), the technology IoT was introduced to some shrimp farmer at Sriminosari village. In general, The farmer gets basic knowledge about the concept of IoT including the implementation in the field. In this program, parameter pH and temperature was selected as model to monitor water quality of shrimp pond. The result of measurement data temperature on the field showed that an averaged value of temperature relatively stable in normal range 26-33⁰C, while the value of pH is various and tend to over the lower limit (< 6.0). Based on collecting data of temperature and pH on the field, it can be concluded that implementing IoT is very useful to assess the quality of water in shrimp farm. Furthermore, the respondents of shrimp farms indicated that implementation IoT in shrimp is acceptable and promising to improve their shrimp farm productivity.  


Author(s):  
Banu Kutlu ◽  
Burcu Demir

Phytoplankton distribution and physico-chemical parameters in two stations in Munzur River were determined in the study carried out monthly between February 2015 and January 2016. According to water quality regulation of the supreme, while quality of water is first class property for temperature, pH, oxygen, ammonium nitrate. It is class feature. Also II. The station is in danger of organic pollution due to domestic waste. When the phytoplankton distribution in the region is examined; 84 taxa belonging phytoplankton Chlorophyta (6), Bacillariophyta (54), Cyanobacteria (15), Rhodophyta (1), Ochrophyta (1), Euglenophyta (2), Charophyta (3), Miozoa (2) were detected. In terms of organisms in the phytoplankton Bacillariophyta division was dominant and Cyanobacteria division was subdominant in the two stations. In the phytoplankton, Ulnaria ulna from Bacillariophyta, Nitzschia palea, Bacillaria paradoxa ,Encyonema sp., Navicula sp. and Nitzschia acicularis were mostly found. Lyngbya sp., Spirulina labyrinthiformis, Oscillatoria labyrinthiformis and Oscillatoria mougeotii species beloning to cyanobacteria match to second place in the terms of importance. Chlorophyta, Charophyta and Euglenophyta have not reached important numbers.


2021 ◽  
Vol 37 (3) ◽  
pp. 667-672
Author(s):  
A. Arputharaj ◽  
P. Anbarasu

The nanotechnology has reached a greater extent of the research and now it is considered as the best source of alternative in the present world. Nowadays, the contaminants present in the water should be very difficult to remove and it leads to several health issues. It is the primary requisite to know about the different physico-chemical parameters to check the quality of water. Currently, the nanotechnology has been the emerging technology and the green synthesis is acclimating to eco-friendly, non-toxic and this method reduces the pollution. This biological approach is undertaken to diminish toxicity and to reduce pollution. In these current studies, the silver nanoparticles can be synthesized from chrysopogan zizanioides root extract. The synthesised silver nanoparticles were characterized by UV-Vis, TEM, physical and chemical parameters of water quality. The synthesised silver nanoparticles were used to reduce the chemical effluents. The outcome of the synthesis silver nanoparticles is using the vital route of wastewater treatment and also effectively reduces the water contaminations.


2020 ◽  
Vol 26 (1) ◽  
Author(s):  
S. B. Patil ◽  
B. V. Patil

Water quality is becoming a global problem in developed and underdeveloped countries. Human activities directly or indirectly affect quality of water and pollute the water; the demand for fresh water is increasing faster. Therefore, in the present investigation attempt has been made to asses chemical parameters of Valwan dam water. Obtained values were compared with two standards of WHO and BIS. Parameters such as pH, Alkalinity, TDS, Total Hardness, CO2, dissolved oxygen, phosphate were found with permissible limits of BIS and WHO which indicates this water body is suitable for drinking purpose.


2019 ◽  
Vol 1 (2) ◽  
pp. 107
Author(s):  
Andi SETIAWAN ◽  
Ni Luh Gede Ratna JULIASIH ◽  
Wawan Abdulah SETIAWAN ◽  
Wawan Abdulah SETIAWAN

Traditional shrimp farmers at Sriminosari village still have problem to improve the productivity of their shrimp pond. Based on observation in the field, the low productivity of shrimp pond mainly due to the quality of water pond. Technology of the internet of things (IoT) is an alternative way to monitor some parameter their quality of water such as pH and temperature. Implementation of IoT will give a simple way to monitor the quality of water in a real time and continues. Technically, technology of IoT is not so expensive and easy to used for collecting data of quality water. So it is acceptable to implanted at Sriminosari village and useful to improve productivity shrimp farmer at Sriminosari village. Furthermore, information from IoT data will help farmer shrimp to reduce the risk in their business. Starting from a forum disscussion group (FGD), the technology IoT was introduced to some shrimp farmer at Sriminosari village. In general, The farmer gets basic knowledge about the concept of IoT including the implementation in the field. In this program, parameter pH and temperature was selected as model to monitor water quality of shrimp pond. The result of measurement data temperature on the field showed that an averaged value of temperature relatively stable in normal range 26-33⁰C, while the value of pH is various and tend to over the lower limit (< 6.0). Based on collecting data of temperature and pH on the field, it can be concluded that implementing IoT is very useful to assess the quality of water in shrimp farm. Furthermore, the respondents of shrimp farms indicated that implementation IoT in shrimp is acceptable and promising to improve their shrimp farm productivity


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