Literature DB >> 28963685

Assessment and modeling of E-waste generation based on growth rate from different telecom companies in the State of Kuwait.

Bader S Al-Anzi1, Abdul Aziz Al-Burait2, Ashly Thomas2, Chi Siang Ong2.   

Abstract

The present work assesses the production rate of cell phone e-waste in Kuwait by comparing the number of clients in three telecommunication service providers like Zain, Ooredoo, and Viva in the state of Kuwait over a period of 7 years from 2008 to 2015. An online survey was conducted to evaluate the growth in the number of clients in three cell phone companies, and the data analysis was carried out using statistical package for the social sciences (SPSS) software. The prediction of the growth percentage of the number of clients in each telecommunication company was analyzed using analysis of variance (ANOVA) test and followed by the regression model. The study shows that there is an increase in the number of clients in all three companies (Zain, Ooredoo, and Viva) between year 2008 and 2015, and it was estimated that approximately 7.9 million cell phone users would be achieved in the first quarter of 2015. Based on this predicted number of cell phone users, the production of e-waste would be 3 kt per year with an average growth of 12.7%.

Keywords:  ANOVA; Cell phone; Electronic waste; Environmental impacts; Kuwait; Telecom company

Mesh:

Year:  2017        PMID: 28963685     DOI: 10.1007/s11356-017-0190-0

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  25 in total

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2.  Life cycle assessment study of a Chinese desktop personal computer.

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Journal:  Sci Total Environ       Date:  2008-12-12       Impact factor: 7.963

3.  Recovery of valuable materials from waste liquid crystal display panel.

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Journal:  Waste Manag       Date:  2009-01-20       Impact factor: 7.145

4.  Increased levels of lead in the blood and frequencies of lymphocytic micronucleated binucleated cells among workers from an electronic-waste recycling site.

Authors:  Qian Wang; An M He; Bo Gao; Lan Chen; Qiang Z Yu; Huan Guo; Bin J Shi; Pu Jiang; Zeng Y Zhang; Ping L Li; Ying G Sheng; Mo J Fu; Chun T Wu; Min X Chen; Jing Yuan
Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng       Date:  2011       Impact factor: 2.269

5.  Correlations of PCBs, DIOXIN, and PBDE with TSH in children's blood in areas of computer E-waste recycling.

Authors:  GuanGen Han; GangQiang Ding; XiaoMing Lou; XiaoFeng Wang; JianLong Han; HaiTao Shen; Yu Zhou; LeYan Du
Journal:  Biomed Environ Sci       Date:  2011-04       Impact factor: 3.118

6.  Polybrominated diphenyl ethers--plasma levels and thyroid status of workers at an electronic recycling facility.

Authors:  A Julander; M Karlsson; K Hagström; C G Ohlson; M Engwall; I-L Bryngelsson; H Westberg; B van Bavel
Journal:  Int Arch Occup Environ Health       Date:  2005-05-18       Impact factor: 3.015

7.  Tracking the global generation and exports of e-waste. Do existing estimates add up?

Authors:  Knut Breivik; James M Armitage; Frank Wania; Kevin C Jones
Journal:  Environ Sci Technol       Date:  2014-07-09       Impact factor: 9.028

8.  Polybrominated diphenyl ether exposure to electronics recycling workers--a follow up study.

Authors:  Kaj Thuresson; Ke Bergman; Klaus Rothenbacher; Thomas Herrmann; Sverker Sjölin; Lars Hagmar; Olaf Päpke; Kristina Jakobsson
Journal:  Chemosphere       Date:  2006-03-09       Impact factor: 7.086

9.  Aquatic toxicity of leachates generated from electronic devices.

Authors:  Roi Dagan; Brajesh Dubey; Gabriel Bitton; Timothy Townsend
Journal:  Arch Environ Contam Toxicol       Date:  2007-06-01       Impact factor: 2.804

Review 10.  Biomedical implications of heavy metals induced imbalances in redox systems.

Authors:  Bechan Sharma; Shweta Singh; Nikhat J Siddiqi
Journal:  Biomed Res Int       Date:  2014-08-12       Impact factor: 3.411

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