Improved Parameters for Lightning Protection System Designs for Buildings in Zambia

Mpanga, Shadreck; Zulu, Ackim; Mwanza, Mabvuto; Holle, Ronald L.

doi:10.1109/iclp56858.2022.9942640

Cited by 1 publication

(2 citation statements)

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“…Each country has its own flash density map and thanks to Vaisala Inc. and other lightning detection network companies for serving the world in this aspect. However, local studies of the lightning phenomenon can result in improved parameters for both LRA and LPS designs of infrastructure in the country (Mpanga et al 2021(Mpanga et al , 2022a(Mpanga et al , 2022b(Mpanga et al and 2022c. The infrastructure in this case could be buildings such as houses, office complexes, shopping malls and overhead power transmission lines which are usually exposed to the atmosphere.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Scientists and advocates of lightning protection have provided some information over the years that can help in the protection against this natural phenomenon. Such information is readily available in international standards such as IEC 62305 series, DHEN Lightning protection guide and NFPA 780 (Mpanga et al 2021(Mpanga et al , 2022a(Mpanga et al , 2022b(Mpanga et al and 2022c. The impact of lightning occurrence is that it fixes the nitrates into the soil, it is the cause of the electrical rhythm of the earth and it can help explain the climate change patterns (EIT 2009, Williams 2009and Williams et al 2014).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards a Lightning Detection and Warning System in Zambia

Mpanga¹,

Mwanza²,

Zulu³

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Lightning is essentially an electromagnetic field phenomenon that can fundamentally be characterized using scientific methods. It would interest property designers and managers to have a facility of protection against lightning for property and life and one stage to effect the protection is an ability to predict the occurrence of lightning. In one type of approach, lightning alert regions can be configured around important assets such as buildings in different locations. Notifications about alerts in an area of interest can be sent via emails, SMS texts to phones and user interface (UI) platforms on personal computers. The meteorology industry can leverage real-time lightning information to improve forecasting, monitoring and safety of communities. This paper uses big data from 2016 to 2022 to show how much lightning Zambia experienced in the seven-year span. Big data was used to detect patterns and trends around the country. Big data is one common and contemporary factor that informs policy and decision in business sectors. The paper also shows how an alert region, Lusaka city, can be configured in order to send alerts and warnings to the users within the city about lightning threat developments. By employing AI-based analytics the results show that Zambia experienced a total of 89,826,330 lightning events from 2016 to 2022. By centering Lusaka city at coordinates 15.3875 o S and 28.3228 o E, 168 alerts were monitored using Thunderstorm Manager between 25 January 2023 and 24 February 2023. The longest lightning threat duration observed was 11 hours 20 minutes within Lusaka city.

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Section: Literature Reviewmentioning

confidence: 99%