E-waste projection using life-span and population statistics

International Journal of Life Cycle Assessment

Volumn 18, Issue 8, 2013, Pages 1465-1469

  Pant, Deepak ^a  

^a CENTRAL UNIVERSITY OF HIMACHAL PRADESH   (India)

Author keywords

E waste; Life span data; Mathematical modeling; Population statistics; Projection

Indexed keywords

ARTICLE; BIOSTATISTICS; DATA ANALYSIS; ELECTRONIC WASTE; EQUIPMENT; INFORMATION PROCESSING; LIFESPAN; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; METHODOLOGY; POPULATION RESEARCH; PRIORITY JOURNAL; WASTE MANAGEMENT;

EID: 84884352864     PISSN: 09483349     EISSN: 16147502     Source Type: Journal    
DOI: 10.1007/s11367-013-0596-y     Document Type: Article

References (9)

1. Dehradun Master Plan 2025 (2012) http://www.mddaonline.com/master-plan. html. Accessed 14 Oct 2012
2. Jha MK, Kumar A, Kumar V, Lee JC (2011) Prospective scenario of e-waste recycling in India. Recycling of electronic waste II, Proceedings of the Second Symposium, The Mineral, Metal and Material Society, pp. 73-78
3. Leung A, Cai ZW, Wong MH (2006) Environmental contamination from electronic waste recycling at Guiyu, southeast China. J Mater Cycles Waste Manage 8:21-33
4. Pant D, Joshi D, Upreti MK, Kotnala RK (2012) Chemical and biological extraction of metals present in E waste: a hybrid technology. Waste Manage 32:979-990
5. Pinto VN (2008) E waste hazard: the impeding challenge. Indian J Occup Environ Med 12(2):65-68
6. Retra (2011) http://www.retra.co.uk/code-of-practice/code13.asp (no date). Accessed 15 Oct 2011
7. Solomon R, Sandborn P, Pecht M (2000) Electronic part life cycle concepts and obsolescence forecasting. IEEE Trans. on Components and Packaging Technologies, pp 707-717
8. Wath SB, Dutt PS, Chakrabarti T (2011) E-waste scenario in India, its management and implications. Environ Monit Assess 172(1-4):249-262
9. Zhang L, Yuan Z, Bi J (2011) Predicting future quantities of obsolete household appliances in Nanjing by a stock-based model. Resour Conserv Recy 55(11):1087-1094