La Paz Early Warning System (SAT) & Alertas La Paz App
This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
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A city built in a canyon watches its rivers around the clock — but the watching only warns. Under an orange alert in March 2026 the Koani still overflowed and a building came down; evacuation stays a human call.
what does this mean?
The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 2 more in La Paz · 🌊 Flood resilience guide · 🌱 Environment projects
La Paz sits in a bowl of steep, flood-prone river basins, and the municipal early-warning unit (USAT) keeps them under permanent watch, issuing graded alerts for the Choqueyapu, Orkojahuira, Irpavi and Achumani basins ahead of storms — in March 2024 the city went to maximum alert on a forecast alone. Its Alertas La Paz app pushes notifications about alerts, alarms and specific forecasts for weather events, landslides and even earthquakes to residents' phones. The system is warning-only: when a hailstorm hit on 15 March 2026 under an orange alert, the Koani river still overflowed after debris washed into it and a three-storey dwelling collapsed in Chumaya — the alerts inform crews and residents, but road closures and evacuations remain human decisions.
🎓 Lesson
Rung two of the sensor-to-consequence ladder: the basin watch and the app deliver the warning, but nothing is actuated — the March 2026 Koani overflow shows a monitored river can still take a house down between the alert and the response.
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📎 Cite this project
1001 Smart Cities (2026). “La Paz Early Warning System (SAT) & Alertas La Paz App” — La Paz, Bolivia. The Smart City Atlas. https://1001smartcities.org/projects/la-paz-early-warning/ (last verified 2026-08-07). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.