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Md. Khairul Hasan, Mohamed Rasmy, Toshio Koike and Katsunori Tamakawa
The Sangu River basin significantly contributes to national economy significantly; however, exposures to water-related hazards are frequent. As it is expected that water-related disasters will increase manifold in the future due to global warming, the Go...
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Tingting Fan, Yuchen Wang, Zhiguo Xu, Lining Sun, Peitao Wang and Jingming Hou
Tsunami monitoring and early warning systems are mainly established to deal with seismogenic tsunamis generated by sudden seafloor fault displacement. However, a global tsunami triggered by the 2022 Tonga volcanic eruption promoted the need for tsunami e...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Marc Löchner and Dirk Burghardt
Social media data are widely used to gain insights about social incidents, whether on a local or global scale. Within the process of analyzing and evaluating the data, it is common practice to download and store it locally. Considerations about privacy p...
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Zhifang Pei and Bin Wu
With the intensification of global warming, food production will face serious drought risk. In view of the insufficient applicability of the existing crop drought index, a standardized crop water deficit index (SCWDI) was constructed based on the constru...
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Xiaolin Sun, Ke Jin, Hui Tao, Zheng Duan and Chao Gao
Under global warming, flooding has become one of the most destructive natural disasters along the China?Pakistan Economic Corridor (CPEC), which significantly jeopardizes the construction and ongoing stability of the CPEC. The assessment of regional floo...
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Yao-Hua Ho and Yu-Jung Tsai
Climate-related natural disasters have affected the lives of thousands of people. Global warming creates warmer and drier conditions which increase the risk of wildfires. In large-scale disasters such as wildfires, search and rescue (SAR) operations beco...
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Xiaobin Zhang and Bo Yu
Due to the lack of training data and effective haze disaster prediction model, the research on causality analysis and the risk prediction of haze disaster is mainly qualitative. In order to solve this problem, a nonlinear dynamic prediction model of Beij...
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Kartika Indah Sari,Darlina Tanjung
Pág. 85 - 91
District Medan Belawan often subjected to tidal flooding. This is due to because the region is located on the coast of the beach and the surface of the ground is lower than the surface of the ocean. Some of the factors that cause the occurrence of tidal ...
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Tarun Ghawana, Lyubka Pashova and Sisi Zlatanova
Facing the increased frequency of disasters and resulting in massive damages, many countries have developed their frameworks for Disaster Risk Management (DRM). However, these frameworks may differ concerning legal, policy, planning and organisational ar...
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