Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology

Author:

Mia Md. Uzzal1,Rahman Mahfuzur2ORCID,Elbeltagi Ahmed3ORCID,Abdullah-Al-Mahbub Md.1,Sharma Gitika4,Islam H. M. Touhidul1,Pal Subodh Chandra5,Costache Romulus67ORCID,Islam Abu Reza Md. Towfiqul1ORCID,Islam Md Monirul2,Chen Ningsheng8910,Alam Edris1112,Washakh Rana Muhammad Ali13

Affiliation:

1. Department of Disaster Management, Begum Rokeya University, Rangpur, Bangladesh

2. Department of Civil Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh

3. Agricultural Engineering Dept, Faculty of Agriculture, Mansoura University, Mansoura, Egypt

4. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

5. Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India

6. Department of Civil Engineering, Transilvania University of Brasov, Brasov, Romania

7. Danube Delta National Institute for Research and Development, Tulcea, Romania

8. Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS), Chengdu, China

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

10. Academy of Plateau Science and Sustainability, Xining, China

11. Faculty of Resilience, Abu Dhabi, United Arab Emirates

12. Department of Geography and Environmental Studies, University of Chittagong, Chittagong, Bangladesh

13. School of Architecture, Neijiang Normal University, Neijiang, Sichuan, China

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

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