Feeling‐together, a strategy for honing madness into craft
Anthropology and Humanism, Volume 51, Issue 2, December 2026.Abstract This eclectic piece centers ethnographic practice within networks of feelings that co‐delineate an anthropologist's encounter with imaginative, world‐shaping forces—by carving into peer‐to‐peer repositories for self‐reflexivity. Incidents of madness can thus offer a deliberate resonance and clarity not only to insiders but also to the wider ...
Luke Kernan
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Element geochemical analysis of the contribution of aeolian sand to suspended sediment in desert stream flash floods. [PDF]
ScientificWorldJournal, 2014 Jia X, Wang H.
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The Geographical Journal, Volume 192, Issue 4, December 2026.Short Abstract The data in the public domain have been used to develop two indices: food insecurity and fortunateness. These two indices have been combined to assess the recoverability of communities in the City of Tshwane, South Africa. ABSTRACT Local government should inform citizens if they live in disaster‐prone areas.
Peter Schmitz, Sanet Carow
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Prevalence and associated factors of depression, anxiety, and stress among flood-affected women in Bangladesh: a case study following 2024 flash flood. [PDF]
Front Public HealthAl Hattawi KS +4 more
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Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.ABSTRACT Extreme rainfall events frequently trigger flash floods, which cause widespread damage to ecosystems, infrastructure, and livelihoods. Accurate rainfall estimation is therefore essential for flood modeling and early warning systems. This study assessed the performance of the Tropical Rainfall Measuring Mission (TRMM) and the Global ...
Morwapula Mashalane +3 more
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Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models. [PDF]
Sci RepChishtie FA +4 more
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Disaster management in flash floods in leh (ladakh): a case study. [PDF]
Indian J Community Med, 2012 Gupta P, Khanna A, Majumdar S.
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A Robust AHP–GIS Based Flood Susceptibility Mapping Using Stochastic Hill‐Climbing Algorithm
Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.ABSTRACT Flooding is one of the most frequent and devastating natural hazards affecting urban areas globally, leading to considerable social, economic, and environmental impacts. In the present study, a novel framework for flood susceptibility mapping is proposed using the stochastic Hill‐Climbing (SHC) method in the Analytical Hierarchy Process (AHP ...
Akhilesh Poyam +2 more
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Assessment of vulnerability to extreme flash floods in design storms. [PDF]
Int J Environ Res Public Health, 2011 Kim ES, Choi HI.
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A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data
Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni +7 more
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