{"ok":true,"nota":{"id":"6176646d27d0aa70","slug":"construir-calles-y-barrios-sin-control-aumenta-el-riesgo-de-derrumbes--617664","titulo":"Construir calles y barrios sin control aumenta el riesgo de derrumbes en eThekwini sudafricana","resumen":"Investigadores usaron aprendizaje automático y datos satelitales para identificar las zonas más propensas a deslizamientos en eThekwini, Sudáfrica. Encontraron que la construcción de rutas, las urbanizaciones y la pérdida de vegetación aumentan ese riesgo.","fuente":"phys","fuenteNombre":"Phys.org","color":"#2b5c8a","autor":"","url":"https://phys.org/news/2026-10-machine-safer-cities.html","imagen":"https://scx1.b-cdn.net/csz/news/tmb/2026/2026-10---using-machin.jpg","tema":"sociedad","subtemas":["urbanismo","deslizamientos","cambio climático","aprendizaje automático","riesgo urbano"],"entidades":["eThekwini","Sudáfrica","Scientific Reports"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-29T23:40:01.000Z","indexTs":"2026-10-29T23:46:06.421Z","hash":"7f3acf5c472395ac870bb4a9631e0c99b91e6e01bfaeb1710b293104fa62be08","tsa":{"time":"Oct 29 23:46:50 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Cuando se construye sobre una ladera sin cuidar el suelo ni la vegetación, el riesgo de derrumbe crece para quienes viven abajo. En ciudades de Argentina con barrios en pendiente, la misma lógica aplica. Los mapas de riesgo sirven para decidir dónde se construye y dónde no. Quien compra un terreno en la ladera equivocada puede pagar con su casa.","quienFirma":"eThekwini Municipality / Universidad de KwaZulu-Natal","confianza":"revisado","consulta":null},"sello":{"hash":"7f3acf5c472395ac870bb4a9631e0c99b91e6e01bfaeb1710b293104fa62be08","sello":"bfe9020f717d8bf77380515bca18ce60841008dad109e77bacf54bb38e8be434","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6596219,"aleatorio":"d7607553a52033d91a72c90ee750a3a506f07cd72d1c29249334c16fad15c4ec","tiempo":"2026-10-29T23:46:30.000Z"},"nist":{"cadena":2,"pulso":2005043,"salida":"2DA44EF607F4EAF5C58160E82A595D10AD36CF1B3B55F6509A1B95B5EF1CD1690FB74F1F5980488256CB2ED5BD60A1EC62CA16516061E7C875D4E8C41361740B","tiempo":"2026-10-29T23:45:00.000Z"},"noAntes":"2026-10-29T23:46:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 29 23:46:50 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Using machine learning to build safer cities","descripcion":"In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A new study published in Scientific Reports has found that urban development activities, including road construction, property development and vegetation loss, are significantly increasing landslide susceptibility across parts of eThekwini.","pubDate":"Thu, 29 Oct 2026 19:40:01 EDT","url":"https://phys.org/news/2026-10-machine-safer-cities.html"},"indexado":"2026-10-29T23:46:06.421Z"}}