A dual-functional smartphone-based sensor for colorimetric and chemiluminescent detection: A case study for fluoride concentration mapping

2020 ◽  
Vol 319 ◽  
pp. 128254 ◽  
Author(s):  
Yunpeng Xing ◽  
Qian Zhu ◽  
Xiaohong Zhou ◽  
Peishi Qi
Keyword(s):  
Fluoride Concentration ◽  
Dual Functional ◽  
Chemiluminescent Detection ◽  
Concentration Mapping

Fluoride Concentration in Groundwater of Khapa Town, Saoner Tehsil, Nagpur District – A Case Study

Agropedology ◽  
2019 ◽  
Vol 29 (2) ◽  
Author(s):  
Ruchir Gupta ◽  
◽  
Rashmi Gupta ◽  
Keyword(s):  
Tamil Nadu ◽  
Andhra Pradesh ◽  
Fluoride Concentration ◽  
High Ambient Temperature ◽  
Irreversible Damage ◽  
Aquifer System ◽  
Nagpur District ◽  
High Fluoride ◽  
High Level

Fluoride is known to contaminate groundwater in many countries notably India, Sri Lanka, China, rift valley countries in East Africa, Turkey and parts of South Africa. Sporadic incidence of high fluoride content in groundwater has been reported in 19 states and union territories across the country (CGWB 2010; Pol 2012). The fluoride occurrences in top aquifer system are endemic in many parts of Andhra Pradesh, Tamil Nadu, Karnataka, Gujarat, Rajasthan, Punjab, Haryana, Bihar and Kerala (Agarwal et al. 1997; Latha et al. (1999); Gopalakrishnan et al. (2012). The toxicity of fluoride is generally influenced by high ambient temperature, alkalinity, calcium and magnesium contents in drinking water (BIS 1991). High level of fluoride posses serious health hazards to humans and irreversible damage to plants. The present study was carried out to assess the fluoride concentration of groundwater in the selected villages around Khapa town of Nagpur district.

Landuse – water quality modelling: a case study

1995 ◽  
Vol 31 (8) ◽  
pp. 383-386 ◽  
Author(s):  
M. Chandra Sekhar ◽  
P. Anand Raj
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Fluoride Concentration ◽  
Regression Equations ◽  
Water Quality Modelling ◽  
Statistical Procedures ◽  
Quality Of Water ◽  
Pollution Impacts

There can be no doubt that landuse profoundly affects the quality of water in streams, rivers, lakes and shallow aquifers. However, the task of finding specific cause - effect relationships between different landuses and Water Quality (WQ) is one of the most important ecological challenges of out times. At the present time, few tested procedures are available to study the landuse and Non-Point Source (NPS) pollution impacts on WQ. One methodology which offers considerable promise is the use of statistical analysis of landuse and WQ data from selected regions. Facilitating the systematic application of statistical procedures, in the present investigation, regression equations have been developed between landuse and WQ parameters. The results of the study indicated that landuse can account for up to 45% of the observed variation in mean nitrates, 39% of the observed variation in mean phosphates, 58% of the observed variation in mean fluoride concentration, 46% of the observed variation in mean COD concentrations and 72% of the observed variation in mean potassium concentrations.

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