Impacts of Underlying Surface on the Dusty Weather in Central Inner Mongolian Steppe, China

Bao, Chunling; Yong, Mei; Bi, Lijun; Gao, He; Li, Jun; Bao, Yuhai

doi:10.1029/2021ea001672

Cited by 10 publications

(8 citation statements)

References 66 publications

(105 reference statements)

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“…This similarity in behavior of NDVI fluctuations is between Syria and Iraq hotspots. For all dust sources, there was a negative relationship between vegetation cover and dust intensity over the 20 years examined [25][26][27]. Statistical analysis of the correlation between vegetation cover and dust intensity confirms the results of the spatio-temporal study.…”

Section: Discussionsupporting

confidence: 74%

“…Due to the importance of dust storms, there has been extensive research into the relationship between dust intensity and influential factors such as wind speed, temperature, precipitation, vegetation cover, and soil moisture [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Zou and Zhai [16] analyzed the relationship between vegetation index data and dust storms in China from 1982 to 2001.…”

Section: Introductionmentioning

confidence: 99%

“…Yao et al [25] showed that significant decreases in dust intensity in East Asia correlated with increases in NDVI, soil moisture, precipitation, and reductions in wind speed. In another study, Bao et al [26] analyzed the spatiotemporal variation of surface and dust emissions using meteorological station data, MODIS NDVI, and soil moisture factors in Xilingol League from 2005 to 2018. The result showed that dust frequency negatively correlates with NDVI and soil moisture.…”

Section: Introductionmentioning

confidence: 99%

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Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

Namdari

Alnasrawi²,

Ghorbanzadeh

et al. 2022

Remote Sensing

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Motivated by the lack of research on land cover and dust activity in the Middle East, this study seeks to increase the understanding of the sensitivity of dust centers to climatic and surface conditions in this specific region. In this regard, we explore vegetation cover and dust emission interactions using 16-day long-term Normalized Difference Vegetation Index (NDVI) data and daily Aerosol Optical Depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS) and conduct spatiotemporal and statistical analyses. Eight major dust hotspots were identified based on long-term AOD data (2000–2019). Despite the relatively uniform climate conditions prevailing throughout the region during the study period, there is considerable spatial variability in interannual relationships between AOD and NDVI. Three subsets of periods (2000–2006, 2007–2013, 2014–2019) were examined to assess periodic spatiotemporal changes. In the second period (2007–2013), AOD increased significantly (6% to 32%) across the studied hotspots, simultaneously with a decrease in NDVI (−0.9% to −14.3%) except in Yemen−Oman. Interannual changes over 20 years showed a strong relationship between reduced vegetation cover and increased dust intensity. The correlation between NDVI and AOD (−0.63) for the cumulative region confirms the significant effect of vegetation canopy on annual dust fluctuations. According to the results, changes in vegetation cover have an essential role in dust storm fluctuations. Therefore, this factor must be regarded along with wind speed and other climate factors in Middle East dust hotspots related to research and management efforts.

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Section: Discussionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

Namdari

Alnasrawi²,

Ghorbanzadeh

et al. 2022

Remote Sensing

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“…Notably, the effects of grassland fires and dust events may be superimposed or mutually reinforcing, leading to additional severe cascading disasters. For example, the occurrence of grassland fires destroys vegetation cover and leaves the ground bare [14,15], which facilitates the occurrence of dust events [16][17][18]. Furthermore, dust events are typically accompanied by strong winds, which could exacerbate fire formation and spread the smoke and sparks generated by the fires over greater distances, triggering new fires [13].…”

Section: Introductionmentioning

confidence: 99%

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

Wen,

Yong,

Bao

et al. 2023

Remote Sensing

Self Cite

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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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“…Under the influence of plateau climate change, the climate of typical grassland area is also susceptible to warm and dry periods [19][20][21], which directly affect the growth of grassland vegetation. The extreme climate caused by climate change, such as rainstorms and floods [22], high temperature and drought [20], black disaster [23], white disaster [24] and sandstorms [25], even seriously affects the survival and living activities of local people. However, related studies have mainly focused on some areas and some time periods in typical steppe areas [26,27], and cross-border studies covering the entire typical steppe areas in China and Mongolia have not been covered.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Characteristics of Typical Grassland in the Mongolian Plateau from 1978 to 2020

Wulan

Qinchaoketu

et al. 2022

Sustainability

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Typical grassland is the core of the Mongolian Plateau grassland belt, and is also an important ecological barrier in the north of China. It is of great significance to explore the real-time changes in grassland climate for the prevention and control of climate disasters, and for ecological protection. In this study, the spatial and temporal variation of temperature, precipitation and maximum wind speed in typical Mongolian Plateau grassland were studied using observation data from 16 meteorological stations from 1978 to 2020, using the linear trend method, cumulative anomaly method, Mann-Kendall test, sliding t-test and Morlet wavelet analysis. The results show that: (1) The typical grassland temperature has been increasing at a rate of 0.4 °C/10a (p < 0.001) over the past 40 years, with the most significant warming in spring and summer; a sudden change from low to high temperature occurred in 1992; the annual average temperature gradually increased from northeast to southwest, with significant warming in the southwest. (2) Annual precipitation decreased slightly at a rate of −2.39 mm/10a, with the most significant decrease in summer precipitation; a sudden change from more to less precipitation occurred in 1998; spatially, precipitation decreased gradually from east to west, with significant moisture reduction in its northern part. (3) The maximum wind speed decreased significantly at a rate of −0.33m/s/10a (p < 0.001), with the most pronounced decrease in spring; the maximum wind speed changed abruptly from strong to weak around 1991; spatially, the annual average maximum wind speed decreased gradually from northwest to southeast and northeast, with the most pronounced decrease in the south and northeast. (4) The wavelet analysis shows that the typical grassland area will still be in a warm, low-rainfall and weak-wind stage in the coming years. Using the above analysis, the typical grassland climate of the Mongolian Plateau has shown a clear trend of warm and dry, weak wind in the past 40 years.

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Impacts of Underlying Surface on the Dusty Weather in Central Inner Mongolian Steppe, China

Cited by 10 publications

References 66 publications

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

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

Climate Change Characteristics of Typical Grassland in the Mongolian Plateau from 1978 to 2020

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