Statistical model for performance analysis of DART : A steel wool based arsenic removal water filter installed in various affected villages
Aditi Kar Gangopadhyay : Department of Mathematics, IIT Roorkee, Haridwar Highway, Roorkee, Uttarakhand, India-247667. Department of Civil Engineering, Lassonde School of Engineering, York University, North York (Toronto), Canada, M3J 1P3.
Umesh Kumar: Department of Computer Science, University of Delhi, South Moti Bagh, New Delhi, India-110021.
Sucheta Chakrabarti: Scientific Analysis Group, Metcalfe House, Delhi, India- 110054.
Praloy O. Basu : Save the environment, 18/1, Kailash Ghosh Road, Kolkata, India- 700008.
Saurabh Jyoti Sarma : Department of Biotechnology, Bennett University, Greater Noida (UP), 201310, India.
Satinder Kaur Brar :SINRS-ETE, Université du Québec, 490, Rue de la Couronne, Québec G1K 9A9, Canada Department of Civil Engineering, Lassonde School of Engineering, York University, North York (Toronto), Canada, M3J 1P3.
Kshipra Misra : Save The Environment, 1107 / 17, Heritage City, M G Road, Gurgram122008, India
Abstract: This paper reports the results of performance analysis of DART (DRDO Arsenic Removal Technology), a novel house hold water filter providing arsenic free drinking water to the people who are affected by arsenic poisoning of ground water. DART has been developed by DRDO, (Defence Research and Development Organization), India as an utmost required immediate solution to the arsenic affected population, and has also been validated as an economic, easy to maintain and low power consuming solution. These filters were installed in seven affected villages and evaluated in terms of their efficiency to remove arsenic from drinking water. The waste generated from the filter was converted to standard grade impermeable concrete blocks for its disposal complying with EPA's toxicity characteristics and leaching procedure (TCLP), for zero waste generation from construction industries. The primary users, mainly the ladies of the houses covered under this program were trained to operate and maintain the system. A statistical model has also been designed to automatically convert the raw data in a proper format data structure in order to carry out fundamental statistical data analysis by which the life span of the material used for the filtration has been predicted.
Keywords:Affected villages; arsenic removal; drinking water; filter; statistical analysis
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