Zobrazeno 1 - 10
of 1 129
pro vyhledávání: '"Flood susceptibility"'
Publikováno v:
International Journal of Disaster Risk Science, Vol 15, Iss 5, Pp 738-753 (2024)
Abstract Floods are widespread and dangerous natural hazards worldwide. It is essential to grasp the causes of floods to mitigate their severe effects on people and society. The key drivers of flood susceptibility in rapidly urbanizing areas can vary
Externí odkaz:
https://doaj.org/article/ea5c00e9bf614d9d8ab08b647ea8ad69
Autor:
Tahmina A. Keya, S Sreeramanan, SB Siventhiran, S Maheswaran, Saravana Selvan, Kevin Fernandez, Low J An, A Leela, R Prahankumar, A Lokeshmaran, AV Boratne
Publikováno v:
Medical Journal of Dr. D.Y. Patil Vidyapeeth, Vol 17, Iss 5, Pp 990-1003 (2024)
Background: The world economy is significantly impacted by floods. Identifying flood risk is essential to flood mitigation techniques. AIM: The primary goal of this study is to create a geographic information system (GIS)-based flood susceptibility m
Externí odkaz:
https://doaj.org/article/69b022a1f6aa4c208999f531cf8e17f6
Autor:
Manish Pandey, Romulus Costache, Pratik Dash, Purna Durga Geesupalli, Masood A. Siddiqui, Prem Chandra Pandey, M. Santosh, Sayed M. Bateni, Aman Arora
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-32 (2024)
Abstract Among various natural hazards, those induced by hydrological and meteorological factors have emerged as the most frequent and damaging. India is at the second from the top, after Bangladesh, of flood hazard-affected countries of the world, c
Externí odkaz:
https://doaj.org/article/c75d16c1fb0c4b23af54c12836215953
Autor:
Krishnagopal Halder, Anitabha Ghosh, Amit Kumar Srivastava, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser, Abu Reza Md. Towfiqul Islam, Edris Alam, Md Kamrul Islam
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Climate change has substantially increased both the occurrence and intensity of flood events, particularly in the Indian subcontinent, exacerbating threats to human populations and economic infrastructure. The present research employed novel ML model
Externí odkaz:
https://doaj.org/article/e9f40d0299a845b284226173c269655f
Publikováno v:
Progress in Disaster Science, Vol 24, Iss , Pp 100372- (2024)
Floods are the natural hazard that causes the largest annual losses in the world Urban expansion and population growth have made cities the most hazardous areas, mainly due to poor planning, occupation of the drainage network and soil sealing. Santa
Externí odkaz:
https://doaj.org/article/c65a333977914392a8e1aa44003b5632
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The study examined three machine learning algorithms (MLAs): random forest (RF), support vector machine (SVM), and artificial neural networks (ANN) for generating flood susceptibility maps in two watersheds in Jordan. Both were selected because they
Externí odkaz:
https://doaj.org/article/93089e96689b4b16b958c71b2566de99
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Flooding is considered a significant natural hazard in Malaysia. climatic conditions and anthropogenic activities are gradually triggering floods in different parts of Malaysia including the study area, i.e. Shah Alam municipality. In the southern re
Externí odkaz:
https://doaj.org/article/16b1580f7b6d4edcafed345237374773
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Frequent floods caused by monsoons and rainstorms have significantly affected the resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A cost-efficient framework integrating advanced remote sensing and machine learning tec
Externí odkaz:
https://doaj.org/article/870c29e0c2ec463eb947a372d2cbab52
Autor:
Asif Iqbal Shah, Nibedita Das Pan
Publikováno v:
Geosystems and Geoenvironment, Vol 3, Iss 4, Pp 100304- (2024)
Floods are frequent natural hazards that cause widespread destruction, particularly in low-elevated areas. This study focuses on identifying flood susceptible zones in the Kashmir Valley, known for historical flooding attributed to the overflow of th
Externí odkaz:
https://doaj.org/article/230a66d70b07405bb1ea237fa25e541c
Autor:
Asfaw, Wegayehu a, b, c, ⁎, Rientjes, Tom a, Bekele, Tilaye Worku b, c, Haile, Alemseged Tamiru b
Publikováno v:
In International Journal of Disaster Risk Reduction January 2025 116