Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China

Liu, Yuyan; Shi, Fei; Li, Xuan; Zhao, Zihui; Jin, Yongtao; Zhan, Yulin; Zhu, Xiongwei; Luo, Wei; Zhang, Wenhao; Sun, Yuefang; Li, Xuqing; Wang, Yancang

doi:10.3390/su142416381

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Grassland fires damage surface vegetation and expose the soil surface [14,15]. As the temperature rises, soil moisture evaporates, drying the soil out [49][50][51]. When strong winds occur, the wind sweeps up a large amount of dust on the exposed surface, and wind erosion will be enhanced with an increase in wind speed [52], causing reduced visibility [53], and making an area prone to dust storms.…”

Section: Discussionmentioning

confidence: 99%

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

Wen,

Yong,

Bao

et al. 2023

Remote Sensing

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Grassland fires and dust weather in Mongolia can trigger major cascading disasters. Grassland fires from autumn to the following spring can indirectly affect dust weather occurrence in the spring by affecting land surface vegetation cover. In this paper, we selected the aimag (province) of Dornod, Mongolia, a typical temperate grassland area, as the study area. The study aims to (1) analyze the spatiotemporal patterns of grassland fire and dust weather in the past 22 years, as well as the effect of grassland fire on dust weather and to (2) explore in depth the mechanisms of the effects of grassland fire on dust weather. To achieve these goals, we utilize high-resolution satellite burned-area data and Synop dust data. In general, grassland fire and dust weather occurrence clearly varied spatiotemporally across the study area. Grassland fires are typically more frequent in spring and autumn, and dust weather is mainly concentrated in spring. Cumulative grassland fires (both days and burned area) from autumn to the following spring affected the spring cumulative dust weather days significantly, especially the spring cumulative dust storm days. Analysis of the mechanism of the effect of grassland fire on dust storms showed that abundant summer precipitation resulted in higher vegetation cover and more accumulated fuel from autumn to April of the following spring. Consequently, the cumulative grassland fire days were higher, and the cumulative burned area was larger during the period, leading to a significant increase in cumulative dust storm days in May of the spring. In Mongolia, grassland fires are often caused by human factors. The findings of the present study could facilitate the crafting of measures to prevent and reduce grassland fires and indirectly minimize dust weather frequency to protect the ecological environment and promote sustainable development.

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Section: Discussionmentioning

confidence: 99%

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

Wen,

Yong,

Bao

et al. 2023

Remote Sensing

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Estimation of Surface Soil Moisture from Multi-Source Remote Sensing Data Based on Deep Learning Model

Li,

Liu,

Fei

2023

2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA)

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

Wen,

Yong,

Bao

et al. 2023

Preprint

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

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Influence of Different Meteorological Factors on the Accuracy of Back Propagation Neural Network Simulation of Soil Moisture in China

Cited by 3 publications

References 32 publications

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

Estimation of Surface Soil Moisture from Multi-Source Remote Sensing Data Based on Deep Learning Model

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

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