Analyzing of water quality at Ooty for drinking purpose

Author(s):  
Gandhimathi A ◽  
Naresh K

Analyzing of water quality at Ooty town and to provide clean and safe water. The water quality is analyzed and tabulated in this paper. So we are able to know the quality of water available in the sample taken. The water analyzed about the chemical, physical and biological characteristics of water. It is used to measure the appearance of sample water for the need of living. Water samples are collected from the open well (Latitude and longitude coordinates are 11.410000, 76.699997). The samples were tested for parameters like pH, turbidity, total hardness, fluoride, dissolved oxygen, ammonia nitrogen, chemical oxygen demand, acidity, and alkalinity. The values which are obtained from each parameter were compared with the Indian Standards: 10500 (Drinking water specifications). During the summer season the water demand is very high hence from the result the water was found to be safe for drinking.

2008 ◽  
Vol 5 (3) ◽  
pp. 435-446 ◽  
Author(s):  
Mayur C. Shah ◽  
Prateek G. Shilpkar ◽  
Pradip B. Acharya

Present communication deals with study of physico-chemical parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS), total alkalinity (TA), calcium hardness (CaH), magnesium hardness (MgH), total hardness (TH), chloride (Cl-), fluoride (F-), sodium (Na+), potassium (K+), dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD) and sulphate (SO42-) of water samples of bore wells of forty villages of Gandhinagar taluka of Gujarat state,India. The experimental values of water samples were compared with standard values given by World Health Organization (WHO) and United State Salinity Laboratory for drinking and irrigation purposes respectively. Water Quality Index (WQI) was also calculated to know the over all quality of water samples. The statistical analysis like mean, standard deviation (SD), coefficient of variance (% CV), analysis of variance (ANOVA),t-test, coefficient of correlation (r) and regression analysis of obtained data were carried out. The results show that the quality of water is poor and quite good for drinking and irrigation purposes respectively. The variance was found significant at 1% level of significance in case of sodium and potassium content and at 5% in case of total alkalinity and dissolved oxygen among the four regions (North, South, East and West) of Gandhinagar taluka. The linear relation also established for each pair of water quality parameters of studied water samples.


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.


Author(s):  
S.K. Pathak ◽  
Shambhu Prasad ◽  
Tanmay Pathak

The present paper was intended to calculate water quality index (WQI) of river Bhagirathi. It is one of the tributary of holy river Ganga of India. In order to determine the quality of its water for public use, recreation and other purposes , the eleven parameters like pH, electric conductivity, Total dissolve solids, Total suspended solids, Dissolve oxygen , Biological oxygen demand, Total alkalinity, Total hardness, Chloride, Nitrate and Sulphate were determine. The water quality index calculated from the observed parameters indicate the river Bhagirathi at  Uttarakhand during winter was under good water quality condition, while at summer and rainy season of showed poor water quality index. In terms of index number ,offers a useful representation of overall quality of water for public or for any intended use as well as in the pollution mitigate plan and in water quality management.


2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Badusha M. ◽  
Santhosh S

The hydro geochemical features of Neyyar River for a period of one year from May 2015 to April 2016 were analyzed. Six sampling sites were fixed considering physiography and present landuse pattern of the river basin. The residents in the drainage basin are primarily responsible for framing a better landuse and thereby maintain a good water and sediment regime. Geospatial pattern of the present landuse of the study area indicated that the sustainability of this river ecosystem is in danger due to unscientific landuse practices, which is reflected in the river quality as well. The parameters such as hydrogen ion concentration, electrical conductivity, chloride, Biological Oxygen Demand, total hardness and sulphate of river water and Organic Carbon of river bed sediments were analyzed in this study. The overall analysis shows that the highland areas are characterized by better quality of water together with low organic carbon, which is mainly due to better landuse and minimal reclamation. The midland and lowland areas are characterized by poor quality of water with high organic carbon, which is due to high anthropogenic activities and maximum pollutants associated with the region together with the alteration in landuse from a traditional eco-friendly pattern to a severely polluted current pattern.


2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.


Author(s):  
Gilbert K. Gaboutloeloe ◽  
Gugu Molokwe ◽  
Benedict Kayombo

The impact of partially treated wastewater on the water quality of Notwane river stretch in the Gaborone region of Botswana was investigated. Water samples collected at effluent discharge point and three other sampling sites downstream were analyzed for pH, temperature, Biological Oxygen Demand (BOD5), Ammonia-nitrogen (Ammonia-N) and Nitrate-nitrogen (Nitrate-N). Sampling was conducted bi-weekly between February 2013 and April 2013. The ranges of measured parameters were:  pH (7.6-8.5), temperature (22-23ºC), BOD5 (11.2-27.0 mg/l), Ammonia-N (2.4-60.5 mg/l), Nitrate-N (20.6-28.6 mg/l). Analysis of variance, Games-Howel multiple comparisons and Pearson correlation were used to separate variable means. The results signal river non-point pollution due to runoff inflow of organics mainly from land use and domestic waste dumping by nearby dwellings. Temperature, BOD5, and pH range values were all within the Botswana Bureau of Standards (BOBS) limit while the maximum Ammonia-N and Nitrate-N were above BOBS limit by 50.5 mg/l and 6.6 mg/l, respectively. Regulations on indiscriminate waste dumping and discharge standards adherence should be enforced.


Author(s):  
Dhisney Gonçalves de Oliveira ◽  
Reinaldo Romero Vargas ◽  
Antonio Roberto Saad ◽  
Regina De Oliveira Moraes Arruda ◽  
Fabrício Bau Dalmas ◽  
...  

The urbanization process through which large urban centers have been passing has drastically affected the availability and especially the quality of water. The Cachoeirinha Invernada Watershed (CIW), located in the municipality of Guarulhos (State of São Paulo, Brazil), includes areas with different land use classes. This paper aims to correlate the spatial and temporal effects of land use and land cover on the water quality of the Cachoeirinha Invernada Watershed. In a period of 12 months and at six sampling points along the watershed, the physicochemical parameters temperature (T), pH, turbidity (TU), total solids (TS), electrical conductivity (EC), total phosphorus (TP), biochemical oxygen demand (BOD), as well as microbiological analysis (E. coli) were measured. Water quality was assessed using a modified version (WQIM) of the Water Quality Index (WQI) and the Trophic State Index (TSI). The areas surrounded by urban development presented a marked worsening in water quality, with the downstream point most affected and ranked as ‘POOR’. From the evaluated parameters, what contributed most to water quality degradation of the Cachoeirinha Invernada Watershed (CIW) was E. coli, followed by BOD, and TP, all parameters related to the presence of sewage in the water. The need for the construction of sewerage and waste treatment, protection and recovery of riparian forests, and environmental education regarding waste disposal are necessary to significantly improve the environmental quality of the Cachoeirinha Invernada Watershed.


2013 ◽  
Vol 746 ◽  
pp. 147-151 ◽  
Author(s):  
Jun Li ◽  
Jun Wang Tong ◽  
Shou Fang Jiang ◽  
Liu Nan ◽  
Shao Jia Wang ◽  
...  

Objectives To assess the current eutrophication and heavy metal pollution condition of South Lake by monitoring the water quality of South Lake Central Ecological Park in Tangshan city and to provide basic information and science basis for the continuity environmental monitoring and further treatment. Methods The water samples in South Lake were collected during 10th-12st May, 2011. Samples of surface water in Xixingchi, Yanglongshui, and Qingtianjing were determined temperature, pH, turbidity, dissolved oxygen (DO), biochemical oxygen demand (COD), biological oxygen demand (BOD520), total phosphorus (TP), ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, Hg, As, Cr, Cu, Zn, Ni, Pb, Cd and so on. Single water quality index and the integrated pollution index were calculated to assess water quality of sampling point. Results The sense character of all sample points did not accord with national standards.The BOD520 of Xixingchi, West Yanglongshui, North Yanglongshui and the four sampling points of Qingtianjing were more than national standards. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings sample points exceeded national standards. Indicatorss of other sample were accord with national standards. Xixingchi, whichs comprehensive pollution index was 0.27, belonged to clean water. Yanglongshui, which`s comprehensive pollution index was 0.22, belonged to clean water too. Qingtianjing, whichs comprehensive pollution index was 1.99, belonged to polluted waters. Conclusions Xixingchi and Yanglongshui belongs to clean water. Qingtianjing belongs polluted water. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings four sample points exceeded national standards. The severity of the pollution is: Qingtianjing>Yanglongshui>Xixingchi.


2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.


2019 ◽  
Vol 2 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Smitarani Lad ◽  
Swati Mukherjee ◽  
Bhavana Umrikar

The emulsification of major constituents in groundwater is accentuated to highlight the impact that is anticipated to be the prime concern due to depleting quality of this resource used for drinking purpose. In view of this, 53 groundwater samples of dug wells taping basaltic water table aquifer located in Haveli taluka adjoining Pune city of Maharashtra, India were collected and analyzed for major cations and anions to evaluate the suitability using water quality index (WQI). The parameters such as pH, Total Hardness (TH), Sodium (Na) and Sulphate (SO4) were assigned with weight 5 and the weight 1 considered as lowest level was assigned to Calcium (Ca++), Magnesium (Mg++), Potassium (K+), Carbonate (CO3--), Bicarbonate (HCO3-) and Phosphate (PO4) and observations were made to know the groundwater quality of the study area. Using these values, the WQI was calculated that revealed according to BIS standards 57% of samples falls in good category, and 43% samples in poor category, while according to WHO standards 38%, 57%, 6% were representing excellent, good and poor category, respectively.


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