Geospatial modeling of the tropical cyclone risk in the Guangdong Province, China-Reference-Cited by-同舟云学术

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Geospatial modeling of the tropical cyclone risk in the Guangdong Province, China

Published:2021-01-01 Issue:1 Volume:12 Page:2931-2955
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Zhou Mindan¹²³,Kuang Yaoqiu¹³,Ruan Zhu¹²³,Xie Mengyi³

Affiliation:

1. Key Laboratory of Ocean and Marginal Sea Geology, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China

2. University of Chinese Academy of Sciences, Beijing, China

3. School of Environment, Jinan University, Guangzhou, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2021.1972046

Reference68 articles.

1. Cyclone risk assessment of the Cox’s Bazar district and Rohingya refugee camps in southeast Bangladesh

2. Local Indicators of Spatial Association-LISA

3. Capabilities of Using Remote Sensing and GIS for Tropical Cyclones Forecasting, Monitoring, and Damage Assessment

4. Projected changes in tropical cyclone activity under future warming scenarios using a high-resolution climate model

5. The Impact of Climate Change on Natural Disasters

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1. Incorporating ecosystem services into comparative vulnerability and risk assessments in the Pearl River and Yangtze River Deltas, China;Ocean & Coastal Management;2024-03

2. An update on the influence of natural climate variability and anthropogenic climate change on tropical cyclones;Tropical Cyclone Research and Review;2023-09

3. Climatology of Different Classifications of Tropical Cyclones Landfalling in Guangdong Province of China during 1951–2020;Atmosphere;2022-08-17

4. Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO;Applied Sciences;2022-06-03

5. Relationships between the Southwest Monsoon Surge and the Heavy Rainfall Associated with Landfalling Super Typhoon Rammasun;Atmosphere;2022-01-14

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