scholarly journals Spatial Distribution of Water Quality Parameters with using Gis

2019 ◽  
Vol 9 (2) ◽  
pp. 3936-3941
Keyword(s):  
Water Quality ◽  
Spatial Distribution ◽  
Tamil Nadu ◽  
Drainage Basin ◽  
Chemical Constituents ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Different Seasons ◽  
Calcium Magnesium

The present paper describes the application of GIS to study the spatial and temporal variations of some important water quality parameters in the Veeranam tank drainage basin of cuddalore district, Tamil Nadu, South India. The water quality parameters were depicted by various colour combinations for different ranges of concentrations. Twenty four (24) groundwater samples were collected from bore wells for two different seasons, pre monsoon in July 2015 and postmonsoon in January 2016. The collected water samples were analyzed for chemical constituents, such as chloride, sulphate, bicarbonate, carbonate, nitrate, sodium, potassium, calcium and magnesium in the laboratory, by following the standard procedures described by the American Public Health Association (APHA 1998). Spatial distribution map for Electrical conductivity, Hardness, Calcium, Magnesium, Sulphate and Chloride in pre-monsoon and post monsoon samples was generated by ArcGIS 9.3 software. The study implies that the quality of groundwater is generally good and potable in the nearby Veeranam lake and the quality becomes moderate as it passes away from Veeranam tank of the study area.

scholarly journals Assessment of Ground Water Quality in and around Gobichettipalayam Town Erode District, Tamilnadu

2007 ◽  
Vol 4 (3) ◽  
pp. 434-439 ◽  
Author(s):  
P. N. Palanisamy ◽  
A. Geetha ◽  
M. Sujatha ◽  
P. Sivakumar ◽  
K. Karunakaran
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Tamil Nadu ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Ground Water Quality ◽  
Calcium Magnesium ◽  
Bicarbonate Alkalinity

Ground water samples collected from different localities in and around Gobichettipalayam town, Erode District, Tamil Nadu were analyzed for their physico- chemical characteristics. This analysis result was compared with the WHO & ICMR standards of drinking water quality parameters with the following water quality parameters namely pH, Electrical conductivity, CN-, Cl-, SO42-, Na+, K+, Ca & Mg in CaCO3equivalents, phenolphthalein alkalinity, hydroxide alkalinity, carbonate alkalinity, bicarbonate alkalinity, total alkalinity, total dissolved solids, total solids, total suspended solids, calcium, magnesium, total hardness, dissolved oxygen, fluorideetc., The usefulness of these parameters in predicting ground water quality characteristics were discussed. Thus an attempt has been made to find the quality of ground water in and around Gobichettipalayam town, suitable for drinking purposes or not.

Dynamics of Micro Algae in Relation to Water Quality Parameters of Pasupatheswarar Temple Pond, Annamalai Nagar, Tamil Nadu

2015 ◽  
Vol 46 ◽  
pp. 1-7
Author(s):  
B. Elayaraj ◽  
M. Selvaraju
Keyword(s):  
Water Quality ◽  
Tamil Nadu ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Alkalinity ◽  
Algal Community ◽  
Sampling Station ◽  
Free Carbon Dioxide ◽  
Calcium Magnesium

The current study deals with water quality variations and micro algal community structure in the highly eutrophic pond. Several water quality parameters were evaluated during the period from July 2014 to June 2015 from sampling station sited from Annamalai Nagar viz., Pasupatheswarar temple pond. The water quality parameters like Air and water temperature, turbidity, electrical conductivity, total dissolved solids, total alkalinity, pH, free carbon-dioxide, dissolved oxygen, biological oxygen demand (BOD), chemical oxygen demand (COD), calcium, magnesium, phosphate and nitrate were analysed. A total 29 species were observed during the study period of which 11 species from the class Cynophyceae, 9 species from the class Chlorophyceae, 6 species from the class Bacillariophyceae and 3 species from the class Euglenophyceae. Maximum species of the class Cyanophyceae were observed during study period. The Microcystisaeruginosa species observed in the pond indicates the signs of eutrophication of pond. The water quality parameters such as temperature, alkalinity, phosphate and nitrates are favourable for the growth of phytoplankton.

Spatial distribution of water quality parameters of rivers around Erhai Lake during the dry and rainy seasons

2015 ◽  
Vol 74 (11) ◽  
pp. 7423-7430 ◽  
Author(s):  
Shao-yong Lu ◽  
Wen-tao Zhang ◽  
Yi Xing ◽  
Jie-ting Qu ◽  
Ke Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Spatial Distribution ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Erhai Lake ◽  
Dry And Rainy Seasons

scholarly journals Unmanned Aerial System-Based Multispectral Water Quality Monitoring in the Iberian Pyrite Belt (SW Spain)

2021 ◽  
Author(s):  
Melisa A. Isgró ◽  
M. Dolores Basallote ◽  
Luis Barbero
Keyword(s):  
Water Quality ◽  
Spatial Distribution ◽  
Spectral Band ◽  
Spectral Characteristics ◽  
Iberian Pyrite Belt ◽  
Quality Parameters ◽  
Empirical Models ◽  
Water Quality Parameters ◽  
Distribution Maps ◽  
Sw Spain

AbstractFew studies have assessed mining-associated water pollution using spectral characteristics. We used high-resolution multispectral data acquired by unmanned aerial drones combined with in situ chemical data to assess water quality parameters in 12 relatively small water bodies located in the Tharsis complex, an abandoned mining area in the Iberian pyrite belt (SW Spain). The spectral bands of Micasense RedEdge-MX Dual and spectral band combinations were used jointly with physicochemical data to estimate water quality parameters and develop reliable empirical models using regression analysis. Physicochemical parameters including pH, ORP, EC, Al, Cu, Fe, Mn, S, Si, and Zn were estimated with high accuracy levels (0.81 < R2 < 0.99, 4 < RMSE% < 75, 0.01 < MAPE < 0.97). In contrast, the observed and modelled values for Ba, Ca, and Mg did not agree well (0.42 < R2 < 0.70). The best-fitted models were used to generate spatial distribution maps, providing information on water quality patterns. This study demonstrated that using empirical models to generate spatial distribution maps can be an effective and easy way to monitor acid mine drainage.

scholarly journals Extracting the spatio-temporal linkages between land use/land cover and water quality parameters using spatio-temporal weighted regression

2018 ◽  
Vol 53 (4) ◽  
pp. 205-218
Author(s):  
Farid Karimipour ◽  
Arash Madadi ◽  
Mohammad Hosein Bashough
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Spatial And Temporal Variations ◽  
Weighted Regression ◽  
Land Use Land Cover ◽  
Spatio Temporal

Abstract Studies in water quality management have indicated significant relationships between land use/land cover (LULC) variables and water quality parameters. Thus, understanding this linkage is essential in protecting and developing water resources. This article extends the conventional geographical weighted regression (GWR) to a temporal version in order to take both spatial and temporal variations of such linkages into account, which has been ignored by many of the previous efforts. The approach has been evaluated for total nitrates and nitrites' concentration as the case study. For this, observations of 45 water quality sampling stations were examined in a time interval of 20 years (1992–2011), and the linkages between LULC variables and NO2 + NO3 concentration were extracted through Pearson correlation coefficient as a global regression model, the conventional geographic weighted regression, and the proposed spatio-temporal weighted regression (STWR). Comparing the results based on two global criteria of goodness-of-fitness (R2) and residual sum of squares (RSS) verifies that the simultaneous consideration of spatial and temporal variations by STWR substantially improves the results.

scholarly journals Spatial dependency of groundwater quality in Benin City, Edo State, Nigeria using semi-variogram models

2021 ◽  
Vol 2 (2) ◽  
pp. 029-041
Author(s):  
Maryann Ogoamaka Ezugwu ◽  
Eguakhide Atikpo
Keyword(s):  
Water Quality ◽  
Chemical Constituents ◽  
Exponential Model ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Human Consumption ◽  
Spatial Dependency ◽  
Continuous Assessment ◽  
Benin City ◽  
Variogram Models

Water quality is a worldwide concern especially water for human consumption. Regular monitoring and tools should be developed, to ensure continuous assessment of the level of concentration of chemical constituents prevalent in water. This will guide against health dangers and risks associated with water of low quality. The research focus on using semi-variogram models to measure the degree of spatial dependency of sampled boreholes for prediction of the concentration of water quality parameters at un-sampled locations because of the cumbersome nature of assessing the whole boreholes in Benin City. One hundred and ten (110) different domestic boreholes were systematically sampled and analyzed in laboratory for determination of the concentration of some chemical water quality parameters which include Electrical Conductivity (EC), Total Dissolve Solids (TDS), Bicarbonate (HCO3), Sodium (Na), Potassium (K), Calcium (Ca), Magnesium (Mg), etc. Laboratory examination of boreholes water quality parameters were carried out in wet and dry seasons. Geographical locations of sampled boreholes were also determined. The obtained experimental results were utilized in investigating the spatial structure of the boreholes using semi-variogram models which include spherical, exponential, Gaussian etc. Exponential model was the most fitted model. The borehole water quality parameters exhibited high degree of spatial dependency in EC, TDS, HCO3, Na, K, Ca. Mg, Cl, P, and NO3 in both seasons with ratio < 25% therefore, interpolation technique can be employed to produce spatial variation quality map of boreholes in Benin City as a monitoring technique to detect contamination or changes in water quality.

Sign in / Sign up

Export Citation Format

Share Document