Developing a Spatially Explicit Humanitarian Flood Vulnerability Index for Refugee Settlements using Fuzzy Multi-Criteria Decision Analysis
Annika Kunz
Department of Geography, University of Zurich, Switzerland
Ross S. Purves
Department of Geography, University of Zurich, Switzerland
Bruna Rohling
Institute for Spatial and Landscape Development, ETH Zurich, Switzerland
Related authors
No articles found.
Inhye Kong, Jan Seibert, and Ross S. Purves
Hydrol. Earth Syst. Sci., 29, 3795–3808, https://doi.org/10.5194/hess-29-3795-2025, https://doi.org/10.5194/hess-29-3795-2025, 2025
Short summary
Short summary
This study examines the timing and topics of newspaper coverage of droughts in England. Media attention correlated with drought-prone hydroclimatic conditions, particularly low precipitation and low groundwater levels, but also showed a seasonality bias, with more coverage in spring and summer, as exemplified by the 2022 summer drought. The findings reveal complex media dynamics in science communication, suggesting potential gaps in how droughts are framed by scientists versus the media.
Leonie Schäfer, Frank Techel, Günter Schmudlach, and Ross S. Purves
EGUsphere, https://doi.org/10.5194/egusphere-2025-2344, https://doi.org/10.5194/egusphere-2025-2344, 2025
Short summary
Short summary
Backcountry skiing is a popular form of recreation in Switzerland and worldwide, despite numerous avalanche accidents and fatalities that are recorded each year. There is a need for spatially explicit information on backcountry usage for effective risk estimations and avalanche forecast verification. We successfully used GPS tracks and online engagement data to model daily backcountry skiing base rates in the Swiss Alps based on a set of snow, weather, temporal and environmental variables.
Frank Techel, Stephanie Mayer, Ross S. Purves, Günter Schmudlach, and Kurt Winkler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-158, https://doi.org/10.5194/nhess-2024-158, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
We evaluate fully data- and model-driven predictions of avalanche danger in Switzerland and compare them with human-made avalanche forecasts as a benchmark. We show that model predictions perform similarly to human forecasts calling for a systematic integration of forecast chains into the forecasting process.
Inhye Kong and Ross S. Purves
AGILE GIScience Ser., 5, 33, https://doi.org/10.5194/agile-giss-5-33-2024, https://doi.org/10.5194/agile-giss-5-33-2024, 2024
Mina Karimi, Mohammad Saadi Mesgari, Ross Stuart Purves, and Omid Reza Abbasi
Abstr. Int. Cartogr. Assoc., 5, 54, https://doi.org/10.5194/ica-abs-5-54-2022, https://doi.org/10.5194/ica-abs-5-54-2022, 2022
Stefan S. Ivanovic and Ross Purves
AGILE GIScience Ser., 3, 39, https://doi.org/10.5194/agile-giss-3-39-2022, https://doi.org/10.5194/agile-giss-3-39-2022, 2022
Veronika Hutter, Frank Techel, and Ross S. Purves
Nat. Hazards Earth Syst. Sci., 21, 3879–3897, https://doi.org/10.5194/nhess-21-3879-2021, https://doi.org/10.5194/nhess-21-3879-2021, 2021
Short summary
Short summary
How is avalanche danger described in public avalanche forecasts? We analyzed 6000 textual descriptions of avalanche danger in Switzerland, taking the perspective of the forecaster. Avalanche danger was described rather consistently, although the results highlight the difficulty of communicating conditions that are neither rare nor frequent, neither small nor large. The study may help to refine the ways in which avalanche danger could be communicated to the public.