Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area

Lightning risk indexes identifying the potential number of dangerous lightning events (NDLE) and ground sensitivity to lightning in residential sub-districts in the Beijing metropolitan area have been estimated on a 5 m resolution grid for the first time. The gridded cloud-to-ground (CG) lightning s...

Full description

Bibliographic Details
Main Authors: HaiBo Hu, JingXiao Li, Xiya Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2017.1405849
id doaj-be2c2a82422e48ac91e387ae675f0c7d
record_format Article
spelling doaj-be2c2a82422e48ac91e387ae675f0c7d2020-11-25T02:39:00ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132018-01-0191163210.1080/19475705.2017.14058491405849Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan areaHaiBo Hu0JingXiao Li1Xiya Zhang2Institute of Urban MeteorologyBeijing Lightning Devices Security Test Center, Beijing Meteorological BureauInstitute of Urban MeteorologyLightning risk indexes identifying the potential number of dangerous lightning events (NDLE) and ground sensitivity to lightning in residential sub-districts in the Beijing metropolitan area have been estimated on a 5 m resolution grid for the first time. The gridded cloud-to-ground (CG) lightning strike density was used in the NDLE calculation, on account of the multiple contacts formed by CG events with multiple lightning flashes. Meanwhile, in the NDLE estimates, the critical CG strike densities derived from the lightning location system data were corrected for network detection efficiency (DE). The case study for a residential sub-district indicates that the site-specific sensitivity to lightning, which is determined by the terrain factors related to lightning attachment and the lightning rod effects induced by nearby structures, differs greatly among types of underlying ground areas. The discrepancy in the NDLE, which is the numerical product of sensitivity and CG strike density, is dominated by the sensitivity to the relatively stationary CG strike density at the residential sub-district scale. Conclusively, the visualization of lightning risk sensitivity and NDLE differences in parts of a residential sub-district at a high spatial resolution makes this model useful in risk reduction and risk control for lightning risk management.http://dx.doi.org/10.1080/19475705.2017.1405849Lightning riskCG flash densitylightning detection efficiency
collection DOAJ
language English
format Article
sources DOAJ
author HaiBo Hu
JingXiao Li
Xiya Zhang
spellingShingle HaiBo Hu
JingXiao Li
Xiya Zhang
Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
Geomatics, Natural Hazards & Risk
Lightning risk
CG flash density
lightning detection efficiency
author_facet HaiBo Hu
JingXiao Li
Xiya Zhang
author_sort HaiBo Hu
title Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
title_short Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
title_full Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
title_fullStr Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
title_full_unstemmed Lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the Beijing metropolitan area
title_sort lightning risk assessment at high spatial resolution at the residential sub-district scale: a case study in the beijing metropolitan area
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2018-01-01
description Lightning risk indexes identifying the potential number of dangerous lightning events (NDLE) and ground sensitivity to lightning in residential sub-districts in the Beijing metropolitan area have been estimated on a 5 m resolution grid for the first time. The gridded cloud-to-ground (CG) lightning strike density was used in the NDLE calculation, on account of the multiple contacts formed by CG events with multiple lightning flashes. Meanwhile, in the NDLE estimates, the critical CG strike densities derived from the lightning location system data were corrected for network detection efficiency (DE). The case study for a residential sub-district indicates that the site-specific sensitivity to lightning, which is determined by the terrain factors related to lightning attachment and the lightning rod effects induced by nearby structures, differs greatly among types of underlying ground areas. The discrepancy in the NDLE, which is the numerical product of sensitivity and CG strike density, is dominated by the sensitivity to the relatively stationary CG strike density at the residential sub-district scale. Conclusively, the visualization of lightning risk sensitivity and NDLE differences in parts of a residential sub-district at a high spatial resolution makes this model useful in risk reduction and risk control for lightning risk management.
topic Lightning risk
CG flash density
lightning detection efficiency
url http://dx.doi.org/10.1080/19475705.2017.1405849
work_keys_str_mv AT haibohu lightningriskassessmentathighspatialresolutionattheresidentialsubdistrictscaleacasestudyinthebeijingmetropolitanarea
AT jingxiaoli lightningriskassessmentathighspatialresolutionattheresidentialsubdistrictscaleacasestudyinthebeijingmetropolitanarea
AT xiyazhang lightningriskassessmentathighspatialresolutionattheresidentialsubdistrictscaleacasestudyinthebeijingmetropolitanarea
_version_ 1724788257347076096