Zhaoge LIU

Zhaoge LIU


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
17 February 2022 in Information & Management
Verified
Journal Article
Closed access
ZLZhaoge LIU
Zhaoge LIU
XLXiang-Yang Li
Xiang-Yang Li
XZXiao-Han Zhu
Xiao-Han Zhu

29 December 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ZLZhaoge LIU
Zhaoge LIU
XLXiang-Yang Li
Xiang-Yang Li
DDDilawar Khan Durrani
Dilawar Khan Durrani
RZRui-Jin Zhang
Rui-Jin Zhang

10 September 2020 in Fire Technology
Verified
Journal Article
Closed access
PDF file
ZLZhaoge LIU
Zhaoge LIU
XLXiang-Yang Li
Xiang-Yang Li
GJGrunde Jomaas
Grunde Jomaas

10 April 2019 in Operational Research
Verified
Journal Article
Closed access
PDF file
ZLZhaoge LIU
Zhaoge LIU
XLXiang-Yang Li
Xiang-Yang Li
DDDilawar Khan Durrani
Dilawar Khan Durrani

1 November 2020 in Natural Hazards Review
Verified
Journal Article
Closed access
PDF file
ZLZhaoge LIU
Zhaoge LIU
XLXiangyang Li
Xiangyang Li
XZXiao-Han Zhu
Xiao-Han Zhu
Rainstorms easily can cause serious secondary disasters such as waterlogging, debris flow, and flood, and the combination of these secondary disasters makes cities more vulnerable. However, to date, few studies have considered the joint effects of rainstorm secondary disasters, and the common procedures or methods for joint risk assessment have not been developed. Considering the joint effects of rainstorm waterlogging and rainstorm debris flow, this paper proposes a modeling method for joint risk assessment based on multisource spatial data including meteorological data, geological data, and building data, and analyzed the residential buildings in a built-up area of Wuhan East Lake High-Tech Development Zone, China. First, the improved rainstorm waterlogging model was proposed to generate waterlogging simulation results with consideration of the influences of rain storage facilities such as lakes and reservoirs on waterlogging results. Second, the rainstorm debris flow model was employed to generate the simulation results of debris flow. Then the damage to residences were calculated with stage-damage curves under single secondary disasters. Finally, a Bayesian network model was built and applied to generate the joint risk of the secondary disasters according to the simulation results of waterlogging and debris flow. The results show that the joint effects of waterlogging and debris flow first increase and then decrease with the increase of precipitation. The joint disaster loss cannot simply be calculated by finding the maximum or sum of the single disaster losses, but must be obtained with a specific reasoning method. The joint disaster loss presented evident spatial disparities. The secondary disasters mainly affected the area near northern mountains, the central area was in the medium-risk zone, and the other areas were less affected. The annual average loss of residential buildings in the studied area was CNY 15.82 million. The findings provide important information for the local area and are expected to help the rainstorm risk management of other jurisdictions.

9 November 2022 in International Journal of Disaster Risk Reduction
Verified
Journal Article
Closed access
ZLZhaoge LIU
Zhaoge LIU
XLXiang-Yang Li
Xiang-Yang Li
XZXiao-Han Zhu
Xiao-Han Zhu
DDDilawar Khan Durrani
Dilawar Khan Durrani