Characteristics of dust devil and its dust emission in northern margin of the Taklimakan Desert

Ma, Mingjie; Yang, Xinghua; He, Qing; Zhou, Chenglong; Mamtimin, Ali; Huo, Wen; Yang, Fan

doi:10.1016/j.aeolia.2020.100579

Cited by 13 publications

(6 citation statements)

References 27 publications

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“…Sandstorms and dusty devils occur in all seasons. Surface soils mainly comprise fine sand (125–250 µm) and very fine sand (62.5–125 µm) ( Ma et al, 2020 ).…”

Section: Overview Of Study Area Data and Methodsmentioning

confidence: 99%

Characteristics of solar radiation at Xiaotang, in the northern marginal zone of the Taklimakan Desert

Jin

Zhou

et al. 2021

PeerJ

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The characteristics of solar radiation and the influence of sand and dust on solar radiation in the northern margin of Taklimakan Desert were analyzed using radiation observation data from 2018. The results showed that the annual total radiation, direct radiation, and scattered radiation at Xiaotang were 5,781.8, 2,337.9, and 3,323.8 MJ m−2, respectively. The maximum monthly total radiation, direct radiation, and scattered radiation were observed in July (679.8 MJ m−2), August (317.3 MJ m−2), and May (455.7 MJ m−2), respectively. The aerosol optical depth corresponded well with the scattered radiation, and the maximum value was in May. Further analysis showed a significant correlation between the total radiation and solar height angle under different weather conditions. Under the same solar height angle, total radiation was higher during clear days but lower on sandstorm days. Calculation of atmospheric transmittance showed that the average atmospheric transmittance on a clear day was 0.67; on sand-and-dust days, it was 0.46. When the atmospheric transmittance was 0.5, the increase in scattering radiation by aerosol in the air began to decrease. Probability analysis of radiation indicated the following probabilities of total radiation <500 W m−2 occurring on clear, floating-dust, blowing-sand, and sandstorm days: 67.1%, 76.3%, 76.1%, and 91.8%, respectively. Dust had the greatest influence on direct radiation; the probabilities of direct radiation <200 W m−2occurring on clear, floating-dust, blowing-sand, and sandstorm days were 44.5%, 93.5%, 91.3%, and 100%, respectively, whereas those of scattered radiation <600 W m−2were 100%, 99.1%, 98.1%, and 100%, respectively. Therefore, the presence of dust in the air will reduce scattered radiation.

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“…Sandstorms and dusty devils occur in all seasons. Surface soils mainly comprise fine sand (125–250 µm) and very fine sand (62.5–125 µm) ( Ma et al, 2020 ).…”

Section: Overview Of Study Area Data and Methodsmentioning

confidence: 99%

Characteristics of solar radiation at Xiaotang, in the northern marginal zone of the Taklimakan Desert

Jin

Zhou

et al. 2021

PeerJ

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“…By integrating meteorological data, satellite observations, and ground-based measurements, these models provide valuable insights into the spatiotemporal distribution of dust storms and their potential environmental impacts [13][14][15]. Additionally, advancements in remote sensing technology have enabled researchers to monitor dust emissions in real time, allowing for the timely detection and tracking of dust storm events [16,17]. These technological innovations have paved the way for the development of early warning systems that can alert communities and authorities to impending dust storms, enabling them to take proactive measures to mitigate their adverse effects on public health, infrastructure, and the environment.…”

Section: Advancements In Dust Storm Research and Early Warning Systemsmentioning

confidence: 99%

Establishing an Early Warning System for Dust Storms in Peri-Desert Regions

Aili,

Waheed,

Zhao

et al. 2024

Environments

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The Taklimakan Desert in northwest China stands as a significant contributor to dust storms, with its fringe oases already designated as ecologically fragile due to the severe impacts of these storms. This study focuses on Moyu County, situated on the southwest edge of the Taklimakan Desert, examining the origin and transport pathways of dust storms from 2004 to 2021. The classification involves utilizing a 36 h backward trajectory model and the k-means clustering technique, resulting in three clusters displaying distinct transport pathways and entry directions. Air pollutant concentrations at the study site corresponding to each cluster are analyzed to elucidate the contribution of dust storms from different directions. The results categorize 1952 dusty days into three categories: NE-SE (cluster 1), N-N (cluster 2), and NW-W (cluster 3). The highest frequency of dust storms, accounting for 64% of the total suspended dust weather, originates from the northeast and southeast direction (NE-SE category), with relatively weak intensity, mainly as suspended dust (71.5%). Strong sand storms predominantly occur from the northwest direction (57.8%). Cluster 1 (the southeast direction) exhibits a higher concentration of SO2, NO2, and CO, mainly associated with its pathway over anthropogenically polluted areas. Conversely, Cluster 3 (northwest direction) shows higher PM10 and PM2.5 concentrations due to increased wind speed and stronger dust storm intensity. The study develops dust storm early warning schemes based on 15-day advance predictions, utilizing an 18-year trajectory model and local monitoring data. This proposed warning scheme serves as a predictive tool for potential dust storm events and air pollution levels, aiding in both scientific research and policy formulation for dust storm mitigation and adaptation. The data obtained also hols relevance for conducting further scientific research in this field.

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“…The local environment on both sides of the railway has a particularly prominent impact on wind-sand hazards [24]. Sand is the material basis of aeolian sand movement [25]. The more abundant the sand sources along the railway, the more likely it will suffer from wind-sand hazards.…”

Section: Construction Of the Evaluation Index System Of Desert Railwa...mentioning

confidence: 99%

An Optimization Model for a Desert Railway Route Scheme Based on Interval Number and TOPSIS

et al. 2022

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The construction of desert railways inevitably destructs the environment and aggravates the wind–sand damage along the line. A reasonable railway route is an effective measure to avoid blown sand hazards, save construction costs, and reduce environmental damage. Currently, the selection methods for the railway route scheme are to analyze the qualitative indicators and quantitative indicators separately, and there are few decision-making models for the desert railway scheme. Therefore, this study aims to propose a comprehensive quantitative optimization model of the route scheme for the desert railway. Based on the design principles of hazard reduction, the evaluation index system of the desert railway route is first constructed, including railway design factors, wind-blown sand hazard factors, environmental impact factors, and operation condition factors. Subsequently, the subjective weights and objective weights are combined to obtain the comprehensive weights of the index by utilizing the principle of minimum discrimination information. Finally, the interval number is employed to quantify the linguistic fuzzy number of qualitative indicators, and the optimization model of the route scheme for the desert railway is constructed based on the technique for order preference by similarity to an ideal solution (TOPSIS). The model is verified using the Minfeng-Yuhu section in the Hotan–Ruoqiang railway as the case study. The achieved results reveal that this model enhances the accuracy and efficiency of the railway scheme decision-making and provides a theoretical basis for the optimal design and sand damage control of the desert railway.

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Characteristics of dust devil and its dust emission in northern margin of the Taklimakan Desert

Cited by 13 publications

References 27 publications

Characteristics of solar radiation at Xiaotang, in the northern marginal zone of the Taklimakan Desert

Characteristics of solar radiation at Xiaotang, in the northern marginal zone of the Taklimakan Desert

Establishing an Early Warning System for Dust Storms in Peri-Desert Regions

An Optimization Model for a Desert Railway Route Scheme Based on Interval Number and TOPSIS

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