Forest Fire Spread Simulation and Fire Extinguishing Visualization Research

Forests, Год журнала: 2023, Номер 14(7), С. 1371 - 1371

Опубликована: Июль 4, 2023

There are three main types of forest fires: surface fires, tree crown and underground fires. The frequency fires accounts for more than 90% the overall In order to construct an immersive three-dimensional visualization simulation various fire ignition methods, spread, extinguishing exercises studied. This paper proposes a lightweight spread method based on cellular automata applied virtual 3D world. By building plant model library using cells express different plants, by geometric plants truly capture combustion process single plant, we can further simulate forest-scale propagation analyze factors that affect spread. addition, constructed scene, this study explored forms methods in environment, mainly liquid flame retardants such as water guns, helicopter-dropped retardants, or simulated rainfall. Therefore, occurrence, be visualized after interactive is designed implemented. Finally, greatly enhanced immersion realism scene simulating changes materials during fire.

Язык: Английский

---

Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment

Geoscientific model development, Год журнала: 2022, Номер 15(20), С. 7809 - 7833

Опубликована: Окт. 24, 2022

Abstract. Extreme drought events in Amazon forests are expected to become more frequent and intense with climate change, threatening ecosystem function carbon balance. Yet large uncertainties exist on the resilience of this drought. A better quantification tree hydraulics mortality processes is needed anticipate future effects forests. Most state-of-the-art dynamic global vegetation models relatively poor their mechanistic description these complex processes. Here, we implement a plant hydraulic module within ORCHIDEE-CAN-NHA r7236 land surface model simulate percentage loss conductance (PLC) changes water storage among organs via representation potentials vertical flows along continuum from soil roots, stems leaves. The was evaluated against observed seasonal variability stand-scale sap flow, moisture productivity under both control setups at Caxiuanã throughfall exclusion field experiment eastern Amazonia between 2001 2008. relationship PLC built two empirical parameters, cumulated duration exposure that triggers mortality, fraction each day exceeding exposure. Our captures biomass drop year 2005 4 years after reduction, produces comparable annual rates observation over study period. architecture provides promising avenues for research assimilating experimental data parameterize due drought-induced xylem dysfunction. We also highlight species-based (isohydric or anisohydric) traits should be further tested generalize performance predicting risks.

Язык: Английский

---

Simulating diverse forest management options in a changing climate on a Pinus nigra subsp. laricio plantation in Southern Italy

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159361 - 159361

Опубликована: Окт. 15, 2022

Язык: Английский

---

Land Use Change Forcing Data Undermine the Modeling of China's Greening Efforts

Geophysical Research Letters, Год журнала: 2025, Номер 52(5)

Опубликована: Март 4, 2025

Abstract China has made extensive afforestation efforts over the past 40 years. However, ecosystem models simulate only modest vegetation enhancement, creating a significant disparity between documented reforestation and model‐based simulations. This fundamental mismatch remains largely unexplored. Here, we conducted comprehensive analysis using diverse observation data to identify determinant within Dynamic Global Vegetation Models (DGVMs) that underestimates growth in China. By developing high‐resolution forest cover change set, found LUH2‐GCB, common land use input for DGVMs, causes underestimate afforestation. With neighborhood comparison analysis, quantitively demonstrated predominant role of underestimated lowering leaf area index (LAI) trends. Overall, DGVMs China's by an average 26.88%, leading 29.46% underestimation LAI increase. Our findings confirm greening trend highlight need improved representation DGVMs.

Язык: Английский

---

Connecting growth and yield models to continuous forest inventory data to better account for uncertainty

Forest Ecology and Management, Год журнала: 2025, Номер 589, С. 122754 - 122754

Опубликована: Май 9, 2025

Язык: Английский

---