Analysis of the Grassland Fires Effect on Dust Weather in Mongolia Based on Satellite-Derived Data DOI Open Access

Ling Wen,

Mei Yong, Yulong Bao

и другие.

Опубликована: Окт. 12, 2023

As major natural disasters in grassland areas, fires and dust events seriously threaten human safety, property, animal husbandry. Furthermore, these phenomena may be mutually reinforcing, which can lead to more severe cascading disasters. However, few studies have been on the mechanisms of fire disaster chain. Therefore, we selected Dornod aimag (province), a typical temperate grassland, as study area analyzed spatiotemporal variation patterns weather, well effect weather based MCD64A1 Burnt Area data SYNOP data. The mechanism was further investigated using MOD13A3 vegetation index product ERA5 wind speed, direction, precipitation results revealed that varied spatially across area. occurred mainly spring (April May), summer (June), autumn (October), while (March May). Moreover, autumn, winter, cumulative (both days area) substantially affected total storm days, particularly days. Additionally, higher 2014 resulted coverage fuel winter 2014, even 2015. result, higher, larger from September April 2015, leading considerable increase May This has important implications for prevention mitigation, ecological environmental protection, sustainable development grasslands.

Язык: Английский

Analysis of the Grassland Fires Effect on Dust Weather in Mongolia Based on Satellite-Derived Data DOI Open Access

Ling Wen,

Mei Yong, Yulong Bao

и другие.

Опубликована: Окт. 12, 2023

As major natural disasters in grassland areas, fires and dust events seriously threaten human safety, property, animal husbandry. Furthermore, these phenomena may be mutually reinforcing, which can lead to more severe cascading disasters. However, few studies have been on the mechanisms of fire disaster chain. Therefore, we selected Dornod aimag (province), a typical temperate grassland, as study area analyzed spatiotemporal variation patterns weather, well effect weather based MCD64A1 Burnt Area data SYNOP data. The mechanism was further investigated using MOD13A3 vegetation index product ERA5 wind speed, direction, precipitation results revealed that varied spatially across area. occurred mainly spring (April May), summer (June), autumn (October), while (March May). Moreover, autumn, winter, cumulative (both days area) substantially affected total storm days, particularly days. Additionally, higher 2014 resulted coverage fuel winter 2014, even 2015. result, higher, larger from September April 2015, leading considerable increase May This has important implications for prevention mitigation, ecological environmental protection, sustainable development grasslands.

Язык: Английский

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