Kai Wang

Dr. Kai Wang

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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1 July 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
GCGuanwen Chen
Guanwen Chen
DWDongyang Wang
Dongyang Wang
QWQun WANG
Qun WANG
YLYuguo Li
Yuguo Li
XWXuemei Wang
Xuemei Wang
KWKai Wang
Kai Wang

13 August 2020 in Natural Hazards and Earth System Sciences
Verified
Journal Article
Open access
PDF file
Dina D'AyalaDina D'Ayala
Dina D'Ayala
KWKai Wang
Kai Wang
YYYuan Yan
Yuan Yan
HSHelen Smith
Helen Smith
AMAshleigh Massam
Ashleigh Massam
Joy Jacqueline PereiraJoy Jacqueline Pereira
Joy Jacqueline Pereira
Flood hazard is increasing in frequency and magnitude in major South East Asian metropolitan areas due to fast urban development and changes in climate, threatening people's property and life. Typically, flood management actions are mostly focused on large-scale defences, such as river embankments or discharge channels or tunnels. However, these are difficult to implement in town centres without affecting the value of their heritage districts and might not provide sufficient mitigation. Therefore, urban heritage buildings may become vulnerable to flood events, even when they were originally designed and built with intrinsic resilient measures, based on the local knowledge of the natural environment and its threats at the time. Their aesthetic and cultural and economic values mean that they can represent a proportionally high contribution to losses in any event. Hence it is worth investigating more localized, tailored mitigation measures. Vulnerability assessment studies are essential to inform the feasibility and development of such strategies. In this study we propose a multilevel methodology to assess the flood vulnerability and risk of residential buildings in an area of Kuala Lumpur, Malaysia, characterized by traditional timber housing. The multiscale flood vulnerability model is based on a wide range of parameters, covering building-specific parameters, neighbourhood conditions and catchment area conditions. The obtained vulnerability index shows the ability to reflect different exposure by different building types and their relative locations. The vulnerability model is combined with high-resolution fluvial and pluvial flood maps providing scenario events with 0.1 % annual exceedance probability (AEP). A damage function of generic applicability is developed to compute the economic losses at individual building and sample levels. The study provides evidence that results obtained for a small district can be scaled up to the city level, to inform both generic and specific protection strategies.

24 May 2021 in International Journal of Climatology
Verified
Journal Article
Open access
PDF file
CRChao Ren
Chao Ren
KWKai Wang
Kai Wang
Yuan ShiYuan Shi
Yuan Shi
YKYu Ting Kwok
Yu Ting Kwok
TMTobi Eniolu Morakinyo
Tobi Eniolu Morakinyo
YLYuguo Li
Yuguo Li
Urban heat island (UHI) and cool island (UCI) effects are well‐known and prevalent in cities worldwide. An increasing trend of extreme heat events has been observed over the last few decades and is expected to continue in the foreseeable future. In this study, warm periods (May to September) of 2000–2018 were examined to acquire a comprehensive understanding of the UHI and UCI characteristics for the case study of Hong Kong, China. Twenty‐two weather stations in Hong Kong were classified into four categories, namely urban, urban oasis, suburban, and rural, with reference to the local climate zone (LCZ) scheme, to analyze UHI and UCI phenomena during extreme heat and non‐extreme heat situations. One representative type of extreme heat events was considered in this study: three consecutive hot nights with two very hot days in between (2D3N). Results show that both the UHI and UCI effects are exacerbated during extreme heat events. Using the concept of the UHI degree hours (UHIdh) and UCI degree hours (UCIdh), their spatial patterns in Hong Kong during extreme heat and non‐extreme heat situations were mapped based on multiple linear regression models. It is found that the predictor variable – windward/leeward index is a significant influential factor of both UHIdh and UCIdh during extreme heat events. The resulting UHIdh and UCIdh maps not only enhance our understanding on the spatial pattern and characteristics of the UHI and UCI during extreme heat events, but could also serve as a useful reference in climate change adaptation, heat‐health risk detection, cooling‐energy estimation and policy making.

1 July 2021 in Building and Environment
Verified
Journal Article
Closed access
GCGuanwen Chen
Guanwen Chen
Cho Kwong Charlie LamCho Kwong Charlie Lam
Cho Kwong Charlie Lam
KWKai Wang
Kai Wang
BWBoguang Wang
Boguang Wang
JHJian Hang
Jian Hang
XWXuemei Wang
Xuemei Wang

1 February 2012 in Journal of Climate
Verified
Journal Article
Open access
KWKai Wang
Kai Wang
HYHong Ye
Hong Ye
FCFeng Chen
Feng Chen
YXYongzhu Xiong
Yongzhu Xiong
CWCuiping Wang
Cuiping Wang
Based on the 1960–2009 meteorological data from 559 stations across China, the urbanization effect on the diurnal temperature range (DTR) was evaluated in this study. Different roles of urbanization were specially detected under solar dimming and solar brightening. During the solar dimming time, both urban and rural stations showed decreasing trends in maximum temperature (Tmax) because of decreased radiation, suggesting that the dimming effects are not only evident in urban areas but also in rural areas. However, minimum temperature (Tmin) increased more substantially in urban areas than in rural areas during the dimming period, resulting in a greater decrease in the DTR in the urban areas. When the radiation reversed from dimming to brightening, the change in the DTR became different. The Tmax increased faster in rural areas, suggesting that the brightening could be much stronger in rural areas than in urban areas. Similar trends of Tmin between urban and rural areas appeared during the brightening period. The urban DTR continued to show a decreasing trend because of the urbanization effect, while the rural DTR presented an increasing trend. The remarkable DTR difference in the urban and rural areas showed a significant urbanization effect in the solar brightening time.

1 April 2016 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
FCFeng Chen
Feng Chen
SYSong Yang
Song Yang
ZSZ. Su
Z. Su
KWKai Wang
Kai Wang