Results 61 to 70 of about 32,207 (198)

The relationship between equatorial wave interaction and heavy rainfall in Southeast Asia

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study examines the statistical relationship between co‐occurring equatorial waves and heavy rainfall in Southeast Asia. Heavy rainfall is more closely related to combined wave activity than to individual waves in many regions of Southeast Asia. The figure shows GPM–IMERG rainfall (shading) and ERA5 850‐hPa winds (vectors) composited on days when ...
Samantha Ferrett, John Methven, Oscar Martinez‐Alvarado, Xiangbo Feng, Thomas H. A. Frame, Christopher E. Holloway, Steven J. Woolnough, Gui‐Ying Yang   +7 more
wiley   +1 more source

GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia

Jurnal Engineering, 2023
A GIS-based study has been carried out to map areas landslide susceptibility using both frequency ratio (FR) and Shannon entropy (SE) bivariate statistical models. A total of 270 landslides were identified and classified randomly into training landslides
Abinet Addis
semanticscholar   +1 more source

Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective

River, EarlyView.
Climate change is projected to intensify soil erosion in the Chalakkudy River Basin, with bare lands and steep uplands emerging as the most vulnerable hotspots under high‐emission scenarios. Forested areas showed greater resistance to soil erosion, highlighting the importance of targeted soil conservation for sustainable watershed management in ...
Sisira Uppengal, Anu David Raj, Balakrishnan Padmavathi, P. O. Nameer, Jayapal Gopalan Nair   +4 more
wiley   +1 more source

Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions

ISPRS Int. J. Geo Inf., 2021
The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception.
Amit Kumar Batar, Teiji Watanabe
semanticscholar   +1 more source

Transformative Pathways for Strengthening Climate‐Resilient Health Systems Among Indigenous Communities: Advancing Equity and Sustainability in Global Health

Sustainable Development, EarlyView.
ABSTRACT Most climate‐resilience health interventions are designed at the global level, with minimal attention to Indigenous communities' needs. The lack of consideration can lead to unintended harm and exacerbate health risks. This study aims to identify the capacities of Indigenous communities that can serve as transformative pathways in safely ...
Chrishma D. Perera, Eranga K. Galappaththi, Carol Zavaleta‐Cortijo, Timothy D. Baird, Korine N. Kolivras, James D. Ford, Michelle Dickson, Kerrie Pickering, Guangqing Chi, Joana Bezerra, Dhanya Vijayan, Victoria Chicamana‐Zapata, Cecil Togarepi, Kheminda G. Thilakarathne, Martha M. Hangula, Francis A. Akugre, Richard Nuwagira, Jonathan Nkalubo   +17 more
wiley   +1 more source

Optimal statistical method selection for landslide susceptibility assessment and its scale effect

Frontiers in Earth Science
Accurate landslide susceptibility assessment is vital for disaster prevention, but current mapping lacks systematic analysis of the underlying mechanisms between multi-scale factors and model performance. Taking Zhenxiong County as an example, this paper
Yuqian Yang, Yuqian Yang, Xiaoyan Wei, Xiaoxiao Wang, Bangmei Huang, Shuangyun Peng, Shuangyun Peng, Zhiqiang Lin, Zhiqiang Lin, Jiaying Zhu, Jiaying Zhu, Xiangmei Lu, Xiangmei Lu, Luping Gong, Mingxiao Chen   +14 more
doaj   +1 more source

GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method

ISPRS International Journal of Geo-Information, 2014
The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered ...
Christos Chalkias, Maria Ferentinou, Christos Polykretis   +2 more
doaj   +1 more source

LANDSLIDE SUSCEPTIBILITY ASSESSMENT THROUGH FUZZY LOGIC INFERENCE SYSTEM (FLIS) [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Landslide is among one of the most important natural hazards that lead to modification of the environment. It is a regular feature of a rapidly growing district Mansehra, Pakistan.
T. Bibi, Y. Gul, A. Abdul Rahman, M. Riaz   +3 more
doaj   +1 more source

A review on spatial, temporal and magnitude prediction of landslide hazard

Journal of Asian Earth Sciences: X, 2022
Over the last few decades, several landslide susceptibility and hazard mapping (LSHM) techniques have been developed. Maps for the same region have also been generated by different individuals following dissimilar approaches, which can be grouped into ...
Ankit Tyagi, Reet Kamal Tiwari, Naveen James   +2 more
doaj   +1 more source

Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey

Earth Science Informatics
Turkey’s Artvin province is prone to landslides due to its geological structure, rugged topography, and climatic characteristics with intense rainfall.
Ziya Usta, H. Akıncı, Alper Tunga Akın   +2 more
semanticscholar   +1 more source