2014Unpublished venueRequires access

Study on lightning early warning information in the application of lightning risk assessment

Hongke Tang, Xiaohong Huang, Junchi Zhou, Xiaojie Zhang

Open publisher page 4 citations

Abstract

In the lightning warning area, high lightning risk users were picked out based on lightning forecast products, considering rank of the client evaluated in previous work. When lightning early warning information was issued, probable variation of LX(consequent loss in a structure) and hz(factor increasing the loss when a special hazard is present) of different buildings were systematically studied. A Manufacture Plant was taken as an example, its R1(risk of loss of human life in a structure) was calculated in circumstance of different lightning protection measures. Rationalization proposals based on the result were put forward, which was meaningful for lightning risk assessment business.

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What this paper is about

In the lightning warning area, high lightning risk users were picked out based on lightning forecast products, considering rank of the client evaluated in previous work. When lightning early warning information was issued, probable variation of LX(consequent loss in a structure) and hz(factor increasing the loss when a special hazard is present) of different buildings were systematically studied. A Manufacture Plant was taken as an example, its R1(risk of loss of human life in a structure) was calculated in circumstance of different lightning protection measures. Rationalization proposals based on the result were put forward, which was meaningful for lightning risk assessment business.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In the lightning warning area, high lightning risk users were picked out based on lightning forecast products, considering rank of the client evaluated in previous work. When lightning early warning information was issued, probable variation of LX(consequent loss in a structure) and hz(factor increasing the loss when a special hazard is present) of different buildings were systematically studied. A Manufacture Plant was taken as an example, its R1(risk of loss of human life in a structure) was calculated in circumstance of different lightning protection measures. Rationalization proposals based on the result were put forward, which was meaningful for lightning risk assessment business.

Key concepts: Lightning (connector), Hazard, Computer science, Physics, Chemistry, Power (physics), Quantum mechanics, Organic chemistry

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