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Impact of seasonal variation on mineral and heavy metal content of bansagar dam, shahdol, india

Author: 
Mahendra Kumar Tiwari and Mahendra K Tiwari
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Water plays a noteworthy role in maintaining the human strength and interests. Hygienic water is now distinguished as a basic accurate of human beings. Heavy metals and high minerals content being perceptible contaminants positions imperative toxicological impacts to human life and exist ecological backgrounds. Physical properties of heavy metals having, relative a high atomic weight along with binding abilities with additional elements. It is a leading usual resource, contributes structures and drinking water reserve in increasing countries is a global alarm. The piece of task is carried out to study the water suitability of Bansagar dam, Shahdol for irrigation and consumption views. Three water samples were collected from three specific sites which serve as groundwork of water at various positions of Bansagar dam. Samples were examined for minerals and heavy metal content throughout 2019 and 2020 to assess the impact of seasonal variations in water of the dam via observing different minerals and heavy metal content viz, Ca, Mg, Na, K, Fe, Hg, and Fluoride, in different seasons. Basically all explored parameters communicated their standard and below position suggested by means of WHO and ISI as drinking and utility of water. Parameters were under seasonal modification variety, Hence, it can concluded that Bansagar Dam water influenced due to participation of geographical association and their recurrent alterations, other than water increasingly concentration towards eutrophication which point in the direction and suggested about the accessibility of protected dam water in expressions of drinking along with the irrigation exploitation. For a detailed analysis the monitoring and analysis should be carried out for a longer period of time. The minimum time for such monitoring should be two year in order to have a series of data or trends to confirm the study reliability.

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