Firecast Zigzag Convolutional Network for Wildfire Prediction DOI
Yuzhou Chen,

Joel Castillo,

Huikyo Lee

et al.

2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 1943 - 1949

Published: Dec. 15, 2024

Language: Английский

Holistic evolution of ecosystem in Heihe River Basin from the perspective of eigen microstates DOI Creative Commons

Xu Wang,

Hao Fan, Xiaosong Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111689 - 111689

Published: Feb. 1, 2024

The impact of environmental change on vegetation dynamics plays a key role in ecosystem evolution, with demonstrating heightened sensitivity to both climate fluctuations and human activities. However, existing studies have not fully unveiled the emergence evolution patterns within holistic complex systems framework. Based long-term observational data normalized differential index (NDVI) meteorological reanalysis data, this study used mean synthesis trend analysis methods explore spatial distribution temporal variation NDVI Heihe River Basin (HRB). results show that continuous increase HRB from 1982 2015, growth rate post-2000 being 1.66 times higher than pre-2000, distinct seasonal periodic fluctuations. Spatially, thrives predominantly upstream downstream riparian zones HRB, displaying significant heterogeneity, it shows an obvious increasing middle lower reaches, especially after 2000. We built theoretical method using eigen microstates quantify dynamic changes vegetation. first two can account for 64% variations, among which microstate captures overall uptrend periodicity NDVI, while second highlights contributions soil moisture growth. In emerges as most influential factor improvement, surpassing other variables. Meanwhile, there's one-month lag response moisture, deeper exerts more pronounced effect coverage. This only validates effective applicability identifying attributing but also provides new perspective comprehending dynamics.

Language: Английский

Citations

4

Ecosystem evolution and drivers across the Tibetan Plateau and surrounding regions DOI Creative Commons
Yiran Xie,

Xu Wang,

Yatong Qian

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124885 - 124885

Published: March 12, 2025

Language: Английский

Citations

0

Impact of temperature on the biogenic volatile organic compound (BVOC) emissions in China: A review DOI
Yiming Yang,

Fengbin Sun,

Yusheng Chen

et al.

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Biomass Burning over Africa: How to Explain the Differences Observed Between the Different Emission Inventories? DOI Creative Commons
N'datchoh Evelyne Touré, Cathy Liousse, Laurent Roblou

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 440 - 440

Published: April 10, 2025

Biomass burning (BB) results from complex interactions between ecosystems, humans, and climate, releasing large amounts of gases particles. Accurate BB emission estimates are essential for air quality, climate studies, impact assessments. Various existing bottom-up inventories show significant discrepancies, varying by factors 2 to 4 due uncertainties in burned areas (BAs), (EFs), vegetation parameters such as biomass density (BD) efficiency (BE). Here, we investigate the role these discrepancies Africa. Two inventories, AMMABB-like (African Monsoon Multidisciplinary Analysis Burning) GFED-like (Global Fire Emission Database) were developed Organic Carbon (OC) Black (BC). Both used identical fire products, maps, EF but different BD BE values. Results highlight substantial differences BE, with relative gaps ranging 44% 85.12%, explaining observed inventories. Key classes responsible emissions identified. Discrepancies 2.4 3.9 times GFED4-like, higher values Southern Hemisphere. Better regional distinctions both hemispheres would improve accuracy

Language: Английский

Citations

0

Forest fire regimes in the Northwestern Himalayas: unravelling microlevel impact of topography, weather, and human activity on fire behaviour DOI

B Alton Paul,

U.C. Dumka, Somnath Bar

et al.

International Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: April 20, 2025

Language: Английский

Citations

0

Global landscape fire-sourced ambient benzene and health risks in different future scenarios DOI
Wenwen Sun,

Dongmei Tang,

Yuanzhi Yao

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: 375, P. 126314 - 126314

Published: April 25, 2025

Language: Английский

Citations

0

Future projection of fire danger under global emission scenarios in Sumatra, Indonesia DOI

Arnida L. Latifah,

Ayu Shabrina, Intan Nuni Wahyuni

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: May 22, 2025

Language: Английский

Citations

0

The global drivers of wildfire DOI Creative Commons
Olivia Haas, Theodore Keeping, José Gómez‐Dans

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 6, 2024

Changes in wildfire regimes are of growing concern and raise issues about how well we can model risks a changing climate. Process-based coupled fire-vegetation models, used to project future regimes, capture many aspects poorly. However, there is now wealth information from empirical studies on the climate, vegetation, topography human activity controls regimes. The measures quantify these vary among studies, but certain variables consistently emerge as most important: gross primary production measure fuel availability, vegetation cover continuity, atmospheric humidity drying. Contrary popular perception, ignitions generally not limiting factor for wildfires. In this review, describe fire models implement processes, synthesise current understanding extent severity, suggest ways which modelling could be improved.

Language: Английский

Citations

3

Revisiting regional and seasonal variations in decadal carbon monoxide variability: Global reversal of growth rate DOI
Ankit Patel, Chinmay Mallik, Naveen Chandra

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 909, P. 168476 - 168476

Published: Nov. 18, 2023

Language: Английский

Citations

8

Synoptic weather patterns during fire spread events in Siberia DOI
Oleg A. Tomshin, Vladimir S. Solovyev

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171205 - 171205

Published: Feb. 24, 2024

Language: Английский

Citations

2