Zobrazeno 1 - 10
of 1 094
pro vyhledávání: '"Flood susceptibility"'
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:
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
Publikováno v:
Applied Environmental Research, Vol 46, Iss 3 (2024)
Flooding remains a major environmental problem in many parts of the world including Nigeria, causing untold losses. This study modelled the flood susceptibility of Calabar Metropolis using frequency ratio and geographical information system (GIS). Di
Externí odkaz:
https://doaj.org/article/55ce0158d1614f2cadc056df97b90422
Publikováno v:
Applied Computing and Geosciences, Vol 23, Iss , Pp 100183- (2024)
Flooding presents a formidable challenge in the United States, endangering lives and causing substantial economic damage, averaging around $5 billion annually. Addressing this issue and improving community resilience is imperative. This project emplo
Externí odkaz:
https://doaj.org/article/b7272de8852e4f5d97f5bda848046620
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 11, Iss 3, Pp 6025-6035 (2024)
Over the past few years, numerous urban areas have been identified in floodplains and coastal regions. These areas should be repurposed as water storage zones to enhance surface water infiltration. The escalating demand for land in flat areas adds co
Externí odkaz:
https://doaj.org/article/0378a6c5cc5b45d684e16cda1ecc38e4
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