Preprints
https://doi.org/10.5194/nhess-2023-211
https://doi.org/10.5194/nhess-2023-211
02 Jan 2024
 | 02 Jan 2024
Status: a revised version of this preprint is currently under review for the journal NHESS.

On the potential of using smartphone sensors for wildfire hazard estimation

Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass

Abstract. Weather conditions that can enhance wildfire potential are a problem faced by many countries around the world. Wildfires can have major economic impacts as well as prolonged effects on populations and ecosystems. Distributing information on fire hazards to the public and first responders in real-time is crucial for fire risk management and risk reduction. Although most fires today are caused by people, weather conditions determine if and how fast the fire spreads. In particular, research has shown that atmospheric vapor pressure deficit (VPD) is a key parameter predicting the dryness of vegetation and the available fuel for fires. VPD is determined from the environmental air temperature and relative humidity, both of which are readily obtained from smartphones carried by the public. In this study we use smartphone data from the OpenSignal company, collected during almost 4 years and from more than 40,000 users per day, to estimate VPD values. We have found that smartphone data can provide useful information about fire risk and danger. Here we present two case studies from wildfires in Israel and Portugal in which VPD is calculated using calibrated temperature and relative humidity measurements from smartphones. Given the exponential growth in the number of smartphones around the globe, we propose applying smartphone data for meteorological research and fire-weather applications.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review on nhess-2023-211', Anonymous Referee #1, 06 Jan 2024
  • CC1: 'Comment on nhess-2023-211', carolina ojeda leal, 21 Feb 2024
  • RC2: 'Comment on nhess-2023-211', Anonymous Referee #2, 10 Mar 2024
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass

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Short summary
We have used the temperature and relative humidity sensors in smartphones to estimate the Vapor Pressure Deficit (VPD), and important atmospheric parameter closely linked to fuel moisture and wildfire risk. Our analysis for two severe wildfire case studies in Israel and Portugal show the potential for using smartphone data to both compliment the regular weather station network, while also providing high spatial resolution of the VPD index.
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