Observation on soil water content and wind speed in Erlianhot, a dust-source area in northern China

Li, Ning; Gu, Wei; Du, Zhenggang; Li, Zhangjun; Pei-guo, Song

doi:10.1016/j.atmosenv.2006.04.019

Cited by 15 publications

(8 citation statements)

References 14 publications

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“…Among different determinants, such as wind velocity, surface sediment supply, and ground roughness5242526, vegetation condition is just one factor influencing dust storms. The variations in hydrothermal conditions are the ultimate forces shaping the dynamics of dust storm5.…”

Section: Discussionmentioning

confidence: 99%

Earlier vegetation green-up has reduced spring dust storms

Fan

Guo

et al. 2014

Sci Rep

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The observed decline of spring dust storms in Northeast Asia since the 1950s has been attributed to surface wind stilling. However, spring vegetation growth could also restrain dust storms through accumulating aboveground biomass and increasing surface roughness. To investigate the impacts of vegetation spring growth on dust storms, we examine the relationships between recorded spring dust storm outbreaks and satellite-derived vegetation green-up date in Inner Mongolia, Northern China from 1982 to 2008. We find a significant dampening effect of advanced vegetation growth on spring dust storms (r = 0.49, p = 0.01), with a one-day earlier green-up date corresponding to a decrease in annual spring dust storm outbreaks by 3%. Moreover, the higher correlation (r = 0.55, p < 0.01) between green-up date and dust storm outbreak ratio (the ratio of dust storm outbreaks to times of strong wind events) indicates that such effect is independent of changes in surface wind. Spatially, a negative correlation is detected between areas with advanced green-up dates and regional annual spring dust storms (r = −0.49, p = 0.01). This new insight is valuable for understanding dust storms dynamics under the changing climate. Our findings suggest that dust storms in Inner Mongolia will be further mitigated by the projected earlier vegetation green-up in the warming world.

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Section: Discussionmentioning

confidence: 99%

Earlier vegetation green-up has reduced spring dust storms

Fan

Guo

et al. 2014

Sci Rep

Self Cite

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“…The surface should be dry (no measurable precipitation within the preceding 24 h) 3. The surface should not be covered with snow or ice Li et al (2006), for example, showed that when the soil moisture content was 13% or greater for the soil tested, duststorm conditions did not occur. Table 3 presents examples of wind erosion estimates where these three conditions were met using 3 yr of meteorological data generally representative of three locations.…”

Section: Temporal Allocation Factorsmentioning

confidence: 99%

Evaluation of Wind Erosion Emissions Factors for Air Quality Modeling

Sullivan

Ajwa

2011

Soil Science Soc of Amer J

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“…During the period 3–14 April 2000 it was discovered that about 20.9% of the suspended dust in dust storms throughout all of North China came from the Hunshdak Sandy Lands (Cheng et al , 2005). A significant negative relationship existing between soil water content and precipitation levels, as well as wind speeds during dust storm occurrence times, was observed in a study focusing on dust storms at the Chinese‐Mongolian border town of Erlianhot, which is just outside the northwest edge of the Sandy Lands, from 2002 to 2003 (Li et al , 2006). The dust‐emitting wind speed measured at a height of 1 m and the longest distance that the Hunshdak dust aerosol particles travel are estimated at 5.6 m s −1 and from 7.6 × 10 4 to 7.6 × 10 5 km respectively (Yue et al , 2008).…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate abnormality on remarkable dust storm increase of the Hunshdak Sandy Lands in northern China during 2001–2008

Gao

Jingwei²,

Wang³

et al. 2011

Meteorological Applications

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From 1961 to 2008, the overall frequency of dust storms in northern China has shown an unquestionable reduction. However, the Hunshdak Sandy Lands of northern China display an increasing frequency in dust storm activities, especially during the period 2001 to 2008. In an attempt to explore the cause of this increase, a comprehensive investigation was conducted by examining the climate variables, the average normalized difference vegetation index (NDVI) and the local inhabitant migrations. The climate variables include local precipitation, temperature, aridity, evaporation, relative humidity, soil moisture and wind speed. Moreover, by analyzing the 2001-2008 average anomaly charts (relative to the 30 year climatology of 1971-2000) of the upper air and surface conditions, an advantageous atmospheric circulation background for drought development over the Hunshdak was confirmed. Meanwhile, a multivariable step-regression model was employed to distinguish the significant variables of the climate elements mentioned before. The model output suggests that aridity is the leading factor impacting the Hunshdak dust storm frequency. During 2001 to 2008, the lack of local precipitation, higher temperature and strong evaporation deteriorated the local surface condition to below that before 2000, which is verified by the reduction of vegetation cover (NDVI), soil moisture and relative humidity. Furthermore, compared to the 30 year climatology of the wind speed observed during dust storm occurrence time, the mean velocity of 2001-2008 was reduced by 3.0 m s −1 , indicating that even with relatively weaker winds, dust storms still occurred primarily due to the degeneration of surface conditions around the Hunshdak.

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Observation on soil water content and wind speed in Erlianhot, a dust-source area in northern China

Cited by 15 publications

References 14 publications

Earlier vegetation green-up has reduced spring dust storms

Earlier vegetation green-up has reduced spring dust storms

Evaluation of Wind Erosion Emissions Factors for Air Quality Modeling

Impacts of climate abnormality on remarkable dust storm increase of the Hunshdak Sandy Lands in northern China during 2001–2008

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