### Citations

377 |
methods for the examination of water and waste water, 17th Ed. American public Health Association, American Water Works Association, Water Pollution Control Federation,
- APHA
- 1989
(Show Context)
Citation Context ...r one is post monsoon. The sampling is carried out, during April 2013 for pre monsoon season and in September-October 2013 for post monsoon season from manually operated tube wells and hand pumps of varying depth. Physico-chemical Analysis All the samples were analyzed for the following Physico-chemical parameters; pH, Total Alkalinity (TA), Total Hardness (TH), Calcium hardness (Ca H), Magnesium hardness (Mg H), Chloride, Nitrate, Fluoride, Total Dissolved Solid (TDS) and Electrical Conductivity (EC). The analysis of water samples were carried out in accordance to standard analytical methods [16]. All the chemicals used were of AR grade and double distilled water used for preparation of solutions. Details of the analysis methods are summarized in Table-1. Calculation of Statistical Parameters In the present study Minimum, Maximum, Average, Standard Deviation, Correlation coefficient (r) and regression coefficients (a & b) has been calculated for each pair of water quality parameters by using Excel spreadsheet for the experimental data. The standard formulae were used in the calculation for statistical parameters are as follows [6, 17]: International Journal of Plant, Animal and Enviro... |

84 |
Methods for Collection and Analysis of Water Samples for Dissolved Minerals and Gases,
- Brown, Skovgstd, et al.
- 1974
(Show Context)
Citation Context ...gate the ground water contamination of the study area. The present study aims to analyse correlation and regression study of various physico-chemical parameters in most rural habitations of Bassi Tehsil of Jaipur, Rajasthan, India in order to assess the suitability of ground water for human uses and it also deals with the necessity of restoring the water quality. MATERIALS AND METHODS Sample Collection Ground water samples from a total of 71sampling sites of 50 villages of Bassi Tehsil were collected in pre-cleaned and rinsed polyethene bottles of two litre capacity with necessary precautions [15]. The total water collection in the year of 2013 is divided in to two seasons, one is pre monsoon and another one is post monsoon. The sampling is carried out, during April 2013 for pre monsoon season and in September-October 2013 for post monsoon season from manually operated tube wells and hand pumps of varying depth. Physico-chemical Analysis All the samples were analyzed for the following Physico-chemical parameters; pH, Total Alkalinity (TA), Total Hardness (TH), Calcium hardness (Ca H), Magnesium hardness (Mg H), Chloride, Nitrate, Fluoride, Total Dissolved Solid (TDS) and Electrical Con... |

5 | Ministry of Water Resources,
- Board
- 2007
(Show Context)
Citation Context ...of Jaipur district. The area of tehsil is 654.69 sq.km, located at 26096’ N latitude and 75062’E longitude. In Bassi Tehsil there are 210 villages (famous for their leather footwear and Embroidery beading). In the study area there are no major surface water sources however; main sources of drinking water are open wells, hand pumps and bore wells [11, 12 and 13]. In Bassi Tehsil 84 villages are reported having fluoride concentration more than 1.5 ppm, 78 villages are exhibiting nitrate concentration more than 45 ppm and 30 villages are having Electrical conductivity more than 3000 micromhos/cm [12, 14]. Review of literature reveals that no studies have been made to scientifically investigate the ground water contamination of the study area. The present study aims to analyse correlation and regression study of various physico-chemical parameters in most rural habitations of Bassi Tehsil of Jaipur, Rajasthan, India in order to assess the suitability of ground water for human uses and it also deals with the necessity of restoring the water quality. MATERIALS AND METHODS Sample Collection Ground water samples from a total of 71sampling sites of 50 villages of Bassi Tehsil were collected in pre-... |

4 |
Study on statistical relationship between ground water quality parameters in Nambiyar river basin,
- Gajendran, Thamarai
- 2008
(Show Context)
Citation Context ...ried out in accordance to standard analytical methods [16]. All the chemicals used were of AR grade and double distilled water used for preparation of solutions. Details of the analysis methods are summarized in Table-1. Calculation of Statistical Parameters In the present study Minimum, Maximum, Average, Standard Deviation, Correlation coefficient (r) and regression coefficients (a & b) has been calculated for each pair of water quality parameters by using Excel spreadsheet for the experimental data. The standard formulae were used in the calculation for statistical parameters are as follows [6, 17]: International Journal of Plant, Animal and Environmental Sciences Page: 44 Available online at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 x = Values of Parameter N = Number of Observations x = Values of Parameter n = Number of Observations Correlation coefficients [PEARSON] (r) have been calculated between each pair of water quality parameter for the experimental data. Let x and y be the two variables, then the correlation ‘r’ between the two variables are given byn = Number of Observations The linear regression equation y = ax+b was developed for the pairs h... |

3 | Linear Correlation Analysis Study of Drinking Water Quality Data for Al Mukalla City, Hadhramout, Yemen”.
- Daraigan, Wahdain, et al.
- 2011
(Show Context)
Citation Context ...rvations Correlation coefficients [PEARSON] (r) have been calculated between each pair of water quality parameter for the experimental data. Let x and y be the two variables, then the correlation ‘r’ between the two variables are given byn = Number of Observations The linear regression equation y = ax+b was developed for the pairs having highly significant (0.8 < r <1.0) and moderate significant (0.6 < r <0.8) ‘r’ values [6, 8]. Where, y = Dependent variable x = Independent variable a = Slope of line b = Intercept on y – axis ‘a’ and ‘b’ can be calculated with the help of following equations- [7]. a = b = The regression analysis is carried out by taking one parameter as dependent variable and other parameter as independent variable. Regression equation is developed with the assumption that change in dependent parameter (y) is either directly or indirectly proportional to the change in the independent parameter [4, 5]. R value tells us how strongly the independent variable is related to the dependent variable. R2 values indicate how much of the dependent variable can be explained by the independent variable and Adjusted R2 has a number of properties which makes it a more desirable good... |

3 |
Correlation analysis of drinking water quality in and around Perur block of Coimbatore District,
- venkatachalam, Nithya, et al.
- 2010
(Show Context)
Citation Context ...ne at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 x = Values of Parameter N = Number of Observations x = Values of Parameter n = Number of Observations Correlation coefficients [PEARSON] (r) have been calculated between each pair of water quality parameter for the experimental data. Let x and y be the two variables, then the correlation ‘r’ between the two variables are given byn = Number of Observations The linear regression equation y = ax+b was developed for the pairs having highly significant (0.8 < r <1.0) and moderate significant (0.6 < r <0.8) ‘r’ values [6, 8]. Where, y = Dependent variable x = Independent variable a = Slope of line b = Intercept on y – axis ‘a’ and ‘b’ can be calculated with the help of following equations- [7]. a = b = The regression analysis is carried out by taking one parameter as dependent variable and other parameter as independent variable. Regression equation is developed with the assumption that change in dependent parameter (y) is either directly or indirectly proportional to the change in the independent parameter [4, 5]. R value tells us how strongly the independent variable is related to the dependent variable. R2 val... |

2 |
Water Quality Index Assessment of Ground water in Todarai Singh
- Yadav, Khan, et al.
- 2010
(Show Context)
Citation Context ..., 6, 7 and 8]. Study Area Rajasthan is known as “the land of king” and it is the largest state of the republic of India in terms of geographical spread. It is situated in the North- Western part of India having total area is around 3,42,239 Sq. Km. which represents 10.41 % of total area of the country and population of 6.86 Crores spread over in 44,672 villages, which is 5.67 % of nations population but being just available 1% of the total water resources of the country. The state has extreme climatic and geographical condition and it suffers both the problems of quantity and quality of water [9, 10]. Jaipur, the capital of Rajasthan, has a total area of 11,117 Sq. Km. covering the 3.23% of the total area of the state, administered by 13 tehsils or sub-divisions. Our focused area of study is Bassi tehsil, out of the 13 tehsils of Jaipur district. The area of tehsil is 654.69 sq.km, located at 26096’ N latitude and 75062’E longitude. In Bassi Tehsil there are 210 villages (famous for their leather footwear and Embroidery beading). In the study area there are no major surface water sources however; main sources of drinking water are open wells, hand pumps and bore wells [11, 12 and 13]. In ... |

1 |
Correlation and Regression analysis among the COD and BOD of industrial effluent.
- Nemade, Shrivastava
- 1997
(Show Context)
Citation Context ...ation, subsequent contamination of surface and ground water sources, water conservation and water quality management has now a day’s assumed a very complex shape. Attention on contamination and its management has become a need of the hour, because of its far reaching impact on human health. International Journal of Plant, Animal and Environmental Sciences Page: 43 Available online at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 Statistical investigation offers more attractive options in environment science, though the result may deviate more from real situations [1]. The correlation provides an excellent tool for the prediction of parametric values within a reasonable degree of accuracy [2]. The quality of water is described by its physical, chemical and microbial characteristics. But, if some correlations are possible among these parameters, then the more significant ones would be useful to indicate fairly the quality of water [3]. A systematic study of correlation and regression coefficients of the water quality parameters not only helps to assess the overall water quality but also to quantify relative concentration of various pollutants in water and p... |

1 |
Correlation among water quality parameters for Groundwater in Chidambaram town.
- Venkatachalam, Jebanesan
- 1998
(Show Context)
Citation Context ...day’s assumed a very complex shape. Attention on contamination and its management has become a need of the hour, because of its far reaching impact on human health. International Journal of Plant, Animal and Environmental Sciences Page: 43 Available online at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 Statistical investigation offers more attractive options in environment science, though the result may deviate more from real situations [1]. The correlation provides an excellent tool for the prediction of parametric values within a reasonable degree of accuracy [2]. The quality of water is described by its physical, chemical and microbial characteristics. But, if some correlations are possible among these parameters, then the more significant ones would be useful to indicate fairly the quality of water [3]. A systematic study of correlation and regression coefficients of the water quality parameters not only helps to assess the overall water quality but also to quantify relative concentration of various pollutants in water and provide necessary cue for implementation of rapid water quality management programmes. The developed regression equations for th... |

1 |
Correlation of Ground waste quality parameters of Sonai area (Maharashtra).
- Dhembare, Pondhe
- 1997
(Show Context)
Citation Context ...ble online at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 Statistical investigation offers more attractive options in environment science, though the result may deviate more from real situations [1]. The correlation provides an excellent tool for the prediction of parametric values within a reasonable degree of accuracy [2]. The quality of water is described by its physical, chemical and microbial characteristics. But, if some correlations are possible among these parameters, then the more significant ones would be useful to indicate fairly the quality of water [3]. A systematic study of correlation and regression coefficients of the water quality parameters not only helps to assess the overall water quality but also to quantify relative concentration of various pollutants in water and provide necessary cue for implementation of rapid water quality management programmes. The developed regression equations for the parameters having significant correlation coefficients can be successfully used to estimate the concentration of other constituents [4, 5, 6, 7 and 8]. Study Area Rajasthan is known as “the land of king” and it is the largest state of the repub... |

1 |
Correlation and Regression Analysis of Some Physico-chemical
- Dash, Barik, et al.
- 2010
(Show Context)
Citation Context ...he pairs having highly significant (0.8 < r <1.0) and moderate significant (0.6 < r <0.8) ‘r’ values [6, 8]. Where, y = Dependent variable x = Independent variable a = Slope of line b = Intercept on y – axis ‘a’ and ‘b’ can be calculated with the help of following equations- [7]. a = b = The regression analysis is carried out by taking one parameter as dependent variable and other parameter as independent variable. Regression equation is developed with the assumption that change in dependent parameter (y) is either directly or indirectly proportional to the change in the independent parameter [4, 5]. R value tells us how strongly the independent variable is related to the dependent variable. R2 values indicate how much of the dependent variable can be explained by the independent variable and Adjusted R2 has a number of properties which makes it a more desirable goodness –of – fit measure than R2. Significant column indicates the statistical significance of the regression model that is applied. It is denoted by p value; if it is under 0.05 then the variable is significant. Table 1: Parameters and methods employed in the physicochemical examination of water samples S.No. Parameters Unit M... |

1 |
A Correlation and Regression Study on the Ground water quality in rural areas around Angul-Talcher Industrial Zone.
- Dash, Dash, et al.
- 2006
(Show Context)
Citation Context ...he pairs having highly significant (0.8 < r <1.0) and moderate significant (0.6 < r <0.8) ‘r’ values [6, 8]. Where, y = Dependent variable x = Independent variable a = Slope of line b = Intercept on y – axis ‘a’ and ‘b’ can be calculated with the help of following equations- [7]. a = b = The regression analysis is carried out by taking one parameter as dependent variable and other parameter as independent variable. Regression equation is developed with the assumption that change in dependent parameter (y) is either directly or indirectly proportional to the change in the independent parameter [4, 5]. R value tells us how strongly the independent variable is related to the dependent variable. R2 values indicate how much of the dependent variable can be explained by the independent variable and Adjusted R2 has a number of properties which makes it a more desirable goodness –of – fit measure than R2. Significant column indicates the statistical significance of the regression model that is applied. It is denoted by p value; if it is under 0.05 then the variable is significant. Table 1: Parameters and methods employed in the physicochemical examination of water samples S.No. Parameters Unit M... |

1 | Rainfall Profile of Jaipur- report of - Singh, Singh, et al. - 2012 |

1 |
Ground Water Scenario of Jaipur- Water Challenges and Solutions.
- Mathur
- 2007
(Show Context)
Citation Context ...of Jaipur district. The area of tehsil is 654.69 sq.km, located at 26096’ N latitude and 75062’E longitude. In Bassi Tehsil there are 210 villages (famous for their leather footwear and Embroidery beading). In the study area there are no major surface water sources however; main sources of drinking water are open wells, hand pumps and bore wells [11, 12 and 13]. In Bassi Tehsil 84 villages are reported having fluoride concentration more than 1.5 ppm, 78 villages are exhibiting nitrate concentration more than 45 ppm and 30 villages are having Electrical conductivity more than 3000 micromhos/cm [12, 14]. Review of literature reveals that no studies have been made to scientifically investigate the ground water contamination of the study area. The present study aims to analyse correlation and regression study of various physico-chemical parameters in most rural habitations of Bassi Tehsil of Jaipur, Rajasthan, India in order to assess the suitability of ground water for human uses and it also deals with the necessity of restoring the water quality. MATERIALS AND METHODS Sample Collection Ground water samples from a total of 71sampling sites of 50 villages of Bassi Tehsil were collected in pre-... |

1 |
Statistical Methods. 28th Ed. Sultan Chand and Sons, India.
- Gupta
- 1999
(Show Context)
Citation Context ...ried out in accordance to standard analytical methods [16]. All the chemicals used were of AR grade and double distilled water used for preparation of solutions. Details of the analysis methods are summarized in Table-1. Calculation of Statistical Parameters In the present study Minimum, Maximum, Average, Standard Deviation, Correlation coefficient (r) and regression coefficients (a & b) has been calculated for each pair of water quality parameters by using Excel spreadsheet for the experimental data. The standard formulae were used in the calculation for statistical parameters are as follows [6, 17]: International Journal of Plant, Animal and Environmental Sciences Page: 44 Available online at www.ijpaes.com Swati Saxena and Umesh Saxena Copyrights@2016 ISSN 2231-4490 x = Values of Parameter N = Number of Observations x = Values of Parameter n = Number of Observations Correlation coefficients [PEARSON] (r) have been calculated between each pair of water quality parameter for the experimental data. Let x and y be the two variables, then the correlation ‘r’ between the two variables are given byn = Number of Observations The linear regression equation y = ax+b was developed for the pairs h... |