Flash Flood Warning Sub-Systems for Rural Africa

  • Authors

    • Stella N. Mbau
    • Vinesh Thiruchelvam
    2018-08-26
    https://doi.org/10.14419/ijet.v7i3.32.18389
  • Early warnings, Flash Floods, Rural Africa, Sub-Systems.
  • Abstract

    This paper aims to present the need for sub-systems in rural Africa for real-time warning delivery. It has been reported in previous studies, that Sub-Sahara Africa lacks weather radars. This means that there are no real-time early warnings presenting a gap in knowledge that this study aims to address. This is done through the following objective; to examine the relationship between variables in the study and therefore, establish whether sub-systems are a significant variable in flash flood warning systems for rural Africa. The variables to be examined are; the independent variable (existing warning system), the dependent variable (early warnings), the moderator variable (ancillary elements) and the mediator variable (sub-systems). This is investigated through a closed-ended questionnaire that is administered to a sample of meteorologists whose email addresses are available on the World Meteorological Organization’s expert database. The target sample is determined through the G*Power application. The data is analyzed on SPSS. Variables in the study are found to be correlated after conducting a Pearson’s correlation test. Using PROCESS allows for the testing of various models where moderation is confirmed. A moderated mediation model is also confirmed. The results confirm that sub-systems are significant enough to be developed for rural Africa.

     

     

  • References

    1. [1] Harrison CG and Williams PR, "A systems approach to natural disaster resilience", Simul Model Pract Theory, (2016), available online: https://www.sciencedirect.com/science/article/pii/S1569190X16000277, last visit:09.05.2018

      [2] Tyler S, Moench M, “A framework for urban climate resilienceâ€, Clim Dev, Vol.4, No.4, (2012), pp.111-126, available online: http://www.tandfonline.com/action/journalInformation?journalCode=tcld20, last visit:16.04.2018

      [3] Venäläinen A, Pilli-Sihvola K, Tuomenvirta H, Ruuhela R, Kululanga E, Mtilatila L, “Analysis of the meteorological capacity for early warnings in Malawi and Zambiaâ€, Clim Dev, Vol.8, No.2, (2016), pp.190–196

      [4] Hoedjes J, Kooiman A, Maathuis B, Said M, Becht R, Limo A, “A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidanceâ€, ISPRS Int J Geo-Information, Vol.3, No.2, (2014), pp.584–598, available online: http://www.mdpi.com/2220-9964/3/2/584/

      [5] Workman D., “African Countries With The Most Tech Hubs Rankedâ€, IT News Africa: Africa’s Technology News Leader, available online: http://www.itnewsafrica.com/2017/06/african-countries-with-the-most-tech-hubs-ranked/

      [6] Andersson-Sköld Y, Thorsson S, Rayner D, Lindberg F, Janhäll S, Jonsson A, “An integrated method for assessing climate-related risks and adaptation alternatives in urban areasâ€, Clim Risk Manag, Vol.7, (2015), pp.31–50, available online: http://dx.doi.org/10.1016/j.crm.2015.01.003, last visited:16.04.2018

      [7] Expert meeting: Improving the efficiency of flood forecasting services, Development of a Framework for the Assessment of Service Delivery Capabilities of Hydrological Services, (2013), http://www.wmo.int/pages/prog/hwrp/documents/FFI/FINAL-REPORT_ Expert_meeting_EFFICIENCY_FF-SERVICES_2013.pdf

      [8] Tuckwood, C., & Mutisya C, "Information and communications technology in peacebuilding: Lessons from Kenya’s Tana Delta", Confl Trends, (2014)

      [9] Sekaran, Uma and Bougie R, Research Methods For Business: A Skill Building Approach, John Wiley and Sons Inc, (2016), pp:19-351

      [10] Kamga A, Buch M, Ly M, Ahamadou B, Musanganire A, Climate Services for Disaster Risks Reduction in Africa, (2017)

      [11] Moderation, (2013), available online: http://orsp.kean.edu/documents/Moderation_Meditation.pdf

      [12] Mensah S, Keung J, Bosu MF, Bennin KE, "Duplex output software effort estimation model with self-guided interpretation", Inf Softw Technol, Vol.94, (2018), pp.1–13

      [13] Taber KS, "The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education", Res Sci Educ, (2016), pp.1–24, available online: https://link-springer-com.ezproxy.apiit.edu.my/content/pdf/10.1007%2Fs11165-016-9602-2.pdf

      [14] Arslan G, "Social Exclusion, Social Support and Psychological Wellbeing at School: A Study of Mediation and Moderation Effect", Child Ind Res, (2017), pp.16–22, available online: https://link-springer-com.ezproxy.apiit.edu.my/content/pdf/10.1007%2Fs12187-017-9451-1.pdf

      [15] PolanÄiÄ G, JoÅ¡t G, HeriÄko M, "An experimental investigation comparing individual and collaborative work productivity when using desktop and cloud modeling tools", Empir Softw Eng, Vol.20, (2015), pp.142–175

      [16] Zareen M, Razzaq K, Mujtaba BG, "Impact of Transactional, Transformational and Laissez-Faire Leadership Styles on Motivation: A Quantitative Study of Banking Employees in Pakistan", Public Organiz Rev, Vol.15, (2015), pp.531–549

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  • How to Cite

    N. Mbau, S., & Thiruchelvam, V. (2018). Flash Flood Warning Sub-Systems for Rural Africa. International Journal of Engineering & Technology, 7(3.32), 47-49. https://doi.org/10.14419/ijet.v7i3.32.18389

    Received date: 2018-08-28

    Accepted date: 2018-08-28

    Published date: 2018-08-26