Dataset for spatial distribution and pollution indices of heavy metals in the surface sediments of Emerald Lake, Tamil Nadu, India.

The dataset for this manuscript with the spatial distribution of heavy metals such as Mn, Zn, Ni, Co, Pb, Cr, Cu and Fe, pollution indices of the surface sediments in the Emerald Lake, India, the significant source of pollution, are determined. The methods for calculation of pollution indices such as Enrichment Factor (EF), Contamination Degree (CD), modified Contamination degree (mCd) and Contamination factor (CF) are considered to know the level of heavy metal pollution in the study area. In this data, the results of pollution indices suggest that almost all the sites are polluted by heavy metals.

Health risks associated with fluoride intake from rural drinking water supply and inverse mass balance modeling to decipher hydrogeochemical processes in Vattamalaikarai River basin, South India.

Preliminary investigation reveals that fluorosis is reported due to the continuous intake of fluoride-rich groundwater in Vattamalikarai River basin, Tamil Nadu, India. A detailed study was attempted for evaluating the health risks associated with the intake of fluoride-rich groundwater supplied to the rural community. Groundwater samples were collected from 60 and 58 dug and tube wells during winter and southwest (SW) monsoon seasons respectively.

Assessment of heavy metals in the surface sediments of the Emerald Lake using of spatial distribution and multivariate techniques.

The study aims to assess the heavy metals such as cobalt (Co), nickel (Ni), lead (Pb), chromium (Cr), cupper (Cu), zinc (Zn), manganese (Mn), and iron (Fe) from 25 surface sediment samples at different sites of the Emerald Lake, Tamilnadu, India using spatial distribution and multivariate techniques like Pearson correlation matrix and principal component analysis. From the result, the ranges of Fe, Cu, Cr, Mn, Zn, Ni, Co, and Pb are noticed to be 78,128 to 132,876; 314 to 462; 336 to 523; 520 to 701; 20.1 to 53.

Energy production through organic fraction of municipal solid waste-A multiple regression modeling approach.

In the 21st century, people migrated from rural to urban areas for several reasons. As a result, the populations of Indian cities are increasing day by day. On one hand, the country is developing in the field of science and technology and on the other hand, it is encountering a serious problem called 'Environmental degradation'.

Evaluation of the groundwater quality feasibility zones for irrigational purposes through GIS in Omalur Taluk, Salem District, South India.

The present work is employed in Omalur Taluk (study area 538.10 km(2)), Salem District, Tamil Nadu, India. Eighty-nine groundwater samples were collected during pre-monsoon (May) 2011 and were analyzed for major cations and anions.