E-Waste Generation For Mobile Phones: Causes, Issues, And Solutions

E-Waste

Discuss about the E-Waste Generation for Mobile Phones.

There are various kinds of waste involved within the technical field. In contrast with these facts, there are various types of wastes involved within this technical development. E- Waste is considered as one different type of waste that is introduced for the excessive usages of electronic materials within among users (Balde 2015). As an example of E-Waste are mobile phones, spare parts of the different devices. Therefore, these needs to be managed with respect to various causes and effects involved within the society. This assignment is elaborating about various issues for e-waste and its growth factors.

Four level of thinking is considered as one psychological approach that manages the any problem solving approaches incorporated within the any system architecture or any technical development perspective (Huisman 2015). In addition to this, there are various perspectives involved within this concept in order to highlight the causes and functionalities involved within system development. Among all of these stages mainly four stages are concerned such as mental models, systemic structuring, pattern analysis and concerned events.

In contrast with these four functional levels of thinking approaches are managed with respect to five competitive level of technical development with respect to various functional measures involved within the system architecture of the developed medium (Ballesteros-Gómez et al. 2014). From the perspective of system development this four level of thinking approach considers five significant area of interests, such as structuring of problems, causal loop modeling, dynamic modeling, scenario planning and modeling and implementation of practical responses. 

Figure 1: Four Level of Thinking

(Source: Created by Author)
 

Figure 2: Four level of thinking model for E-waste generation

(Source: Created by author)

Origins and growth issues of the E-Waste issues needs to be analyzed with respect to various perspectives involved within technical perspectives. These causes are mainly considered as the cause behind the E-Waste generation (Grant et al. 2013). All of these cause and growth issues are analyzed with respect to four level of thinking model introduced within this assignment.

E-waste generation is mainly caused by the possible way of technological advancement that are leading the generation of technological waste in order to manage the outdated technical options available within the market place with respect to various evolutions (Hosoda et al. 2014). In contrast with these facts, there are various issues that cause generation of e-waste in the environment. Among all of these issues, two specific issue are identified for e-waste generation. These are given as follows:

Four Levels of Thinking

Incorporation of toxic element: Most of the electronic gadgets are having excessive amount of toxic element incorporated within it that in terms harm the individual users and manufacturers (Julander et al. 2014). Henceforth, after some new evolutions, the outdated one is removed from usages.

Excessive misuse of electronic gadgets: Extensive use of electronic gadgets makes the generation of el-waste increased with respect to various causes and effects.    

Causal loop modelling is mainly used for identifying the variable element within the system architecture of the new technology that manages the analysis of problems involved within the e-waste generation process with respect to various issues and technical evolutions (Kolias, Hahladakis and Gidarakos 2014). Three functional areas are considered for analyzing the important factors impacting on e-waste generation process. These are given as follows:

Variable technology: In causal loop diagram the most efficient variable is the variable technology that impacts on e-waste generation process mostly with respect to various other technological advancements.

Preparation of influence diagram: Preparation of influence diagram shows that there are various other factors and important aspects that help the system development architecture in finding the main factors in generating e-waste within technical field (Park et al. 2014).

Identification of key leverage points: Leverages are identified with respect to various difficult situations that make the electronic waste impacts on the users with respect to various conditions.

Dynamic modelling of the functional element that impacts on the e-waste generation process with respect to various technological development are considered with respect to the rich picture development. These rich pictures show how electronic waste generation is impacted by various factors.

Rich picture generation: Rich picture presentation for e-waste generation process helps the analyzer in identifying the functional factors such as excessive use of electronic gadgets, lack of reusable technological support for managing e-waste etc (Sthiannopkao and Wong 2013).

Collection of detailed information for identifying problems: Collection of information is mainly done through the rich picture that helps the system developer in managing the effectiveness of the system with respect to various functional areas of operations.

Analysis of collected data: Analysis of the collected data shows that there are various dependent and independent areas that make the e-waste generation process highlighted (Villares et al. 2017). The collected data about his process shows that technological innovation as well as lack of reusable technology is making the e-waste generation increased. 

The problem and important factor analysis requires the support of scope identification with respect the cause of E-waste generation process. Therefore, following functional areas will be helpful in analyzing impactful factors involved within the e-waste generation process.

Structuring of Problems

Plan for general scope identification: General scope identification process is helpful in understanding the functional specification of the e-waste generation process and this in terms helps in solving the issues involved within this segment (Wu et al. 2015).

Communication results: Communication results into the identification of functional elements those impacts on the e-waste generation process.

Practical frameworks for solving issues: Practical frameworks are used in order to manage the development of the waste and utilization of these into the reusable technical programs (Zeng et al. 2015). In contrast with these facts these can be considered as one solution for managing the system architecture e-waste generations.

Implementation of practical responses collected from this model is helpful in solving various issues and problems involved within the e-waste generation process. These implementation processes are managed with respect to presentation management process with respect to the causes of e-waste generation process (Balde 2015). Following measures are helpful in understanding the factors involved within e-waste generation process:

Presentation management of collected data: Presentation processes of collected data are managed with respect to various facts and factor those impacts on the concerned context of e-waste generation. The functional areas are helpful in preparing the presentation process.

Development of useful applications: Development of the useful application with the help f identified factors responsible for e-waste generation and management process (Ballesteros-Gómez et al.  2014).

Incorporation of safety measures: The new technical advancements are helpful solving e-waste issues.

References

Baldé, C.P., 2015. The global e-waste monitor 2014: Quantities, flows and resources.

Balde, C.P., Kuehr, R., Blumenthal, K., Gill, S.F., Kern, M., Micheli, P., Magpantay, E. and Huisman, J., 2015. E-waste statistics: Guidelines on classifications, reporting and indicators. United Nations University, IAS-SCYCLE, Bonn, Germany.

Ballesteros-Gómez, A., Brandsma, S.H., De Boer, J. and Leonards, P.E.G., 2014. Direct probe atmospheric pressure photoionization/atmospheric pressure chemical ionization high-resolution mass spectrometry for fast screening of flame retardants and plasticizers in products and waste. Analytical and bioanalytical chemistry, 406(11), pp.2503-2512.

Grant, K., Goldizen, F.C., Sly, P.D., Brune, M.N., Neira, M., van den Berg, M. and Norman, R.E., 2013. Health consequences of exposure to e-waste: a systematic review. The Lancet Global Health, 1(6), pp.e350-e361.

Hosoda, J., Ofosu-Anim, J., Sabi, E.B., Akita, L.G., Onwona-Agyeman, S., Yamashita, R. and Takada, H., 2014. Monitoring of organic micropollutants in Ghana by combination of pellet watch with sediment analysis: E-waste as a source of PCBs. Marine pollution bulletin, 86(1), pp.575-581.

Julander, A., Lundgren, L., Skare, L., Grandér, M., Palm, B., Vahter, M. and Lidén, C., 2014. Formal recycling of e-waste leads to increased exposure to toxic metals: An occupational exposure study from Sweden. Environment international, 73, pp.243-251.

Kolias, K., Hahladakis, J.N. and Gidarakos, E., 2014. Assessment of toxic metals in waste personal computers. Waste management, 34(8), pp.1480-1487.

Park, J.E., Kang, Y.Y., Kim, W.I., Jeon, T.W., Shin, S.K., Jeong, M.J. and Kim, J.G., 2014. Emission of polybrominateddiphenyl ethers (PBDEs) in use of electric/electronic equipment and recycling of e-waste in Korea. Science of the Total Environment, 470, pp.1414-1421.

Sthiannopkao, S. and Wong, M.H., 2013. Handling e-waste in developed and developing countries: Initiatives, practices, and consequences. Science of the Total Environment, 463, pp.1147-1153.

Villares, M., I??ldar, A., van der Giesen, C. and Guinée, J., 2017. Does ex ante application enhance the usefulness of LCA? A case study on an emerging technology for metal recovery from e-waste. The International Journal of Life Cycle Assessment, pp.1-16.

Wu, Q., Leung, J.Y., Geng, X., Chen, S., Huang, X., Li, H., Huang, Z., Zhu, L., Chen, J. and Lu, Y., 2015. Heavy metal contamination of soil and water in the vicinity of an abandoned e-waste recycling site: implications for dissemination of heavy metals. Science of the Total Environment, 506, pp.217-225.

Zeng, X., Song, Q., Li, J., Yuan, W., Duan, H. and Liu, L., 2015. Solving e-waste problem using an integrated mobile recycling plant. Journal of cleaner production, 90, pp.55-59.