Analysing Fire Propagation Models: A Case Study on FARSITE for Prolonged Wildfires DOI Creative Commons
Leonardo Martins, Rui Valente de Almeida,

António Maia

и другие.

Fire, Год журнала: 2025, Номер 8(5), С. 166 - 166

Опубликована: Апрель 23, 2025

With increasing wildfire severity and duration driven by climate change, accurately predicting fire behavior over extended time frames is critical for effective management mitigation of such wildfires. Fire propagation models play a pivotal role in these efforts, providing simulations that can be used to strategize respond active fires. This study examines the area simulator (FARSITE) model’s performance simulating recent events persisted 24 h with limited firefighting intervention mostly remote access areas across diverse ecosystems. Our findings reveal key insights into prolonged scenarios potentially informing improvements operational long-term predictive accuracy, as comparisons indexes showed reasonable results between detected fires from information resource systems (FIRMSs) first following days. A case Madeira Island highlights integration real-time weather predictions post-event data analysis. analysis underscores potential combining accurate forecasts retrospective validation improve capabilities dynamic environments, which guided development software platform designed analyse ongoing real-time, leveraging image satellite predictions.

Язык: Английский

Experimental Studies on Peat Soils’ Fire Hazard Based on Their Physical and Chemical Properties: The Vasilievsky Mokh Deposit Beneath the Tver Region Agricultural Lands DOI Creative Commons
Otari Didmanidze,

A. V. EVGRAFOV,

Artembek Sergeevich Guzalov

и другие.

Fire, Год журнала: 2025, Номер 8(2), С. 68 - 68

Опубликована: Фев. 7, 2025

This study addresses the task of ecologically assessing consequences natural fires. Statistical data are presented on carbon dioxide emissions in millions tons and analytical locations peat fires, as well modern methods detection control forest divided into groups. An analysis works leading Russian international scientists research organizations engaged search for fire forecasting is also presented. Our aim was to develop a more effective method preventing soil ignition by changing its physical moisture characteristics. To that end, samples were selected Tver region. The laboratory equipment methodology our experimental studies described detail, which we simulated climatic conditions center Federation. provides mathematical description process spontaneous ignition, occurs according following steps: heat flow heats surface temperature, creating self-heating zone; eventually, wave (smoldering) capable self-propagation formed. We experimentally determined thermal hazards samples, where test material loaded cylindrical container made brass net with 0.8 mm mesh, dimensions 30 × mm. Thermocouple elements placed inside container, fixing temperature sample, smoldering or zone analyzed results samples’ chemical reaction, us draw conclusions about possibility fires depending offer recommendations will improve soils’ safety, permitting agricultural crop production without risk.

Язык: Английский

Процитировано

0
Analysing Fire Propagation Models: A Case Study on FARSITE for Prolonged Wildfires DOI Creative Commons
Leonardo Martins, Rui Valente de Almeida,

António Maia

и другие.

Fire, Год журнала: 2025, Номер 8(5), С. 166 - 166

Опубликована: Апрель 23, 2025

With increasing wildfire severity and duration driven by climate change, accurately predicting fire behavior over extended time frames is critical for effective management mitigation of such wildfires. Fire propagation models play a pivotal role in these efforts, providing simulations that can be used to strategize respond active fires. This study examines the area simulator (FARSITE) model’s performance simulating recent events persisted 24 h with limited firefighting intervention mostly remote access areas across diverse ecosystems. Our findings reveal key insights into prolonged scenarios potentially informing improvements operational long-term predictive accuracy, as comparisons indexes showed reasonable results between detected fires from information resource systems (FIRMSs) first following days. A case Madeira Island highlights integration real-time weather predictions post-event data analysis. analysis underscores potential combining accurate forecasts retrospective validation improve capabilities dynamic environments, which guided development software platform designed analyse ongoing real-time, leveraging image satellite predictions.

Язык: Английский

Процитировано

0