{"query_echo":{"q":"","filters":{"geography":["Juiz de Fora"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Juiz de Fora' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Juiz+de+Fora","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwatt-000060","url":"https://climateinsightsdirectory.org/document/wwatt-000060","title":"Unplanned urbanisation fuels landslide disasters amid emerging rainfall trends","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2026-03-12","source_url":"https://www.worldweatherattribution.org/unplanned-urbanisation-fuels-landslide-disasters-amid-emerging-rainfall-trends/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In February 2026, intense rainfall in Minas Gerais, Brazil, caused over 70 deaths and displaced nearly 10,000 people, with Juiz de Fora being the most affected city. While climate models project a 7% increase in February rainfall with future warming, the immediate severity of the disaster was driven by high social vulnerability and unplanned urban expansion on steep slopes. Risk assessments had previously identified 130,000 residents in high-risk zones in Juiz de Fora. The study found that while early warnings were issued, topographical constraints and a lack of evacuation options hindered their effectiveness.","ai_generated":true,"unit":"wwatt-000060#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The disaster in Juiz de Fora, which recorded its wettest month on record in February 2026, was primarily driven by high exposure and social vulnerability rather than rainfall alone. Approximately 130,000 residents lived in high-risk zones, making Juiz de Fora one of the 10 Brazilian cities with the highest proportion of people in such areas.","ai_generated":true,"unit":"wwatt-000060#insight-1","date_modified":"2026-10-23"},{"text":"Unplanned urban expansion on steep slopes and valley bottoms, characterized by poor drainage, low vegetation, and weak infrastructure, created high-risk zones in districts such as Santa Cruz, Vila Esperanca, and Benfica.","ai_generated":true,"unit":"wwatt-000060#insight-2","date_modified":"2026-10-23"},{"text":"Despite warnings from INMET and Cemaden, some residents failed to act due to topographical limits on siren effectiveness, a lack of evacuation options, and long-term residence in hazard zones.","ai_generated":true,"unit":"wwatt-000060#insight-3","date_modified":"2026-10-23"},{"text":"Local observations in Juiz de Fora indicate a return period of several hundred years for the event, whereas gridded rainfall data underestimated the intensity, suggesting a return period of only 1 in 10 years.","ai_generated":true,"unit":"wwatt-000060#insight-4","date_modified":"2026-10-23"},{"text":"Climate models project a 7% increase in February rainfall with future warming, aligning with IPCC assessments of a wettening trend starting from 1.5C global warming, which may contribute to localized events even if not yet evident across the wider region.","ai_generated":true,"unit":"wwatt-000060#insight-5","date_modified":"2026-10-23"}],"climate_tags":["landslide","urbanization","climate change adaptation","early warning system","climate modeling","Flood risk management"],"geography_discussed":["Rio de Janeiro","São Paulo","Ubá","Matias Barbosa","Brazil"],"frame_perspective":[],"analysis_type":["attribution study","risk assessment"]}]}