Characteristics of the lower layer of sandstorms in the Minqin desert-oasis zone

Zhao, Ming; Kejie, Zhan; Yang, Zhengjian; Fang, ErTian; Qiu, Guoyu; Wang, Qiangqiang; Zhang, YinChang; Guo, Shengli; Li, AiDe; Zhang, JingChun

doi:10.1007/s11430-010-4104-y

Cited by 13 publications

(7 citation statements)

References 20 publications

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“…There were obvious differences in wind speed, wind direction, and eolian sediment flux inside and outside shelterbelt in the northeastern edge of Ulan Buh Desert. The results were consistent with the wind speed distribution characteristics of Minqin Oasis and Badain Jaran Desert on the oasis and desert-oasis region, which increased with the height from 0 to 50 m [37]. During the occurrence of sandstorms, wind speed profile and the migration process of sand and dust particles were affected by the type of underlying surface, thereby affecting the distribution of aeolian sediment flux [38][39][40].…”

Section: Discussionsupporting

confidence: 77%

Ecological Effects of Oasis Shelterbelts in Ulan Buh Desert

Luo¹,

Xin²,

Gao³

et al. 2022

Deserts and Desertification

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In arid region, shelterbelt is the ecological barrier for oasis. Understanding its ecological effects can provide theoretical supports for its long-term management and sustainable development. Two standard meteorological stations were used to monitor climatic factors continuously for 7 years, and two 50 m dust monitoring towers were used to continuously monitor sandstorm for 10 times, which were located inside and outside oasis shelterbelts in the northeastern edge of Ulan Buh Desert. The microclimate differences were analyzed, as well as the ecological effects of oasis shelterbelts was clarified inside and outside oasis. In the present study, under the influence of a large-scale shelterbelts, air temperature, land ground temperature and evaporation respectively decreased 5.13% ~ 24.74%, 2.38% ~ 20.09% and 7.06% ~ 17.68%, whereas the relative humidity and precipitation respectively increased 6.93% ~ 25.53% and 4.30% ~ 50.15%. During the occurrence of sandstorms, the wind speed inside and outside shelterbelt showed an increasing trend with the increase in height. The relationship between wind speed and height was expressed as a power function. The wind direction was mainly W, WNW and NE, but the proportion of each direction was different inside and outside shelterbelt. When the sandstorm passed through oasis shelterbelts, the wind speed was significantly weakened, with an average reduction of 30.68%. The horizontal aeolian sediment flux decreased 414.44 g·m−2 and the aeolian deposition flux decreased 0.81 g·m−2. The results revealed that the microclimate was improved by oasis shelterbelts, especially in the growing season. Therefore, oasis shelterbelts help to maintain the sustainable development of oasis.

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Section: Discussionsupporting

confidence: 77%

Ecological Effects of Oasis Shelterbelts in Ulan Buh Desert

Luo¹,

Xin²,

Gao³

et al. 2022

Deserts and Desertification

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“…One sample from each type of coating was investigated for two different velocities, namely 12.2 and 17.1 m s −1 and four consecutive erosions treatments were applied to every sample, lasting 10 minutes each. The setpoint for dust concentration was 100 mg m −3 as it has been measured in a field study [19] and comparable values have been used for accelerated aging experiments already [20,8]. However this setpoint was constantly exceeded by a factor of around There was an additional water jet cleaning applied in the end, to check on the effectiveness of the ultrasonic cleaning.…”

Section: Testing and Cleaning Proceduresmentioning

confidence: 98%

Sandstorm erosion testing of anti-reflective glass coatings for solar energy applications

Wiesinger¹,

Vicente

Fernández-García

et al. 2018

Solar Energy Materials and Solar Cells

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Components for concentrating solar power applications can suffer from optical performance loss due to their permanent exposure to the environment. There is still lack of experience regarding the destructive effects of sand-and duststorms on glass envelope materials for receiver tubes of parabolic-trough collectors for concentrating solar power (CSP) plants. So far no accelerated aging guideline is formulated yet to account for the performance loss of optical components due to particle erosion to a realistic extent. Within this study 4 different antireflective (AR) coatings deposited on borosilicate glass are subjected to an artificial sandstorm test and their resistance towards erosion is evaluated. An uncoated borosilicate glass is also tested as reference. Noticeable differences were obtained depending on the type of coating. Microscope analysis and light transmission measurements in the spectrophotometer were undertaken and it could be concluded that the selection of an AR coating should not only be based on the initial optical performance but also in accordance with meteorological data, especially when erosive sandstorms are expected for the chosen site of the CSP plant.

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“…It is of high scientific importance and potential value to study the inversion of atmospheric temperature and humidity profile using microwave radiometer data [10]. However, the brightness temperature (BT) data from different channels of the MWR are disturbed by precipitation and cloud factors, resulting in abnormal values [11][12][13]. Meanwhile, when the sun is in the observation direction of the MWR, the BT data will be abnormally increased due to the influence of solar radiation, especially those used in low latitudes [14].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Model-Based Retrieval of Temperature and Relative Humidity Profiles Measured by Microwave Radiometer

Luo

Gu³

et al. 2023

Remote Sensing

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The accuracy of temperature and relative humidity (RH) profiles retrieved by the ground-based microwave radiometer (MWR) is crucial for meteorological research. In this study, the four-year measurements of brightness temperature measured by the microwave radiometer from Huangpu meteorological station in Guangzhou, China, and the radiosonde data from the Qingyuan meteorological station (70 km northwest of Huangpu station) during the years from 2018 to 2021 are compared with the sonde data. To make a detailed comparison on the performance of machine learning models in retrieving the temperature and RH profiles, four machine learning algorithms, namely Deep Learning (DL), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGBoost) and Random Forest (RF), are employed and verified. The results show that the DL model performs the best in temperature retrieval (with the root-mean-square error and the correlation coefficient of 2.36 and 0.98, respectively), while the RH of the four machine learning methods shows different excellence at different altitude levels. The integrated machine learning (ML) RH method is proposed here, in which a certain method with the minimum RMSE is selected from the four methods of DL, GBM, XGBoost and RF for a certain altitude level. Two cases on 29 January 2021 and on 10 February 2021 are used for illustration. The case on 29 January 2021 illustrates that the DL model is suitable for temperature retrieval and the ML model is suitable for RH retrieval in Guangzhou. The case on 10 February 2021 shows that the ML RH method reaches over 85% before precipitation, implying the application of the ML RH method in pre-precipitation warnings.

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Characteristics of the lower layer of sandstorms in the Minqin desert-oasis zone

Cited by 13 publications

References 20 publications

Ecological Effects of Oasis Shelterbelts in Ulan Buh Desert

Ecological Effects of Oasis Shelterbelts in Ulan Buh Desert

Sandstorm erosion testing of anti-reflective glass coatings for solar energy applications

Machine Learning Model-Based Retrieval of Temperature and Relative Humidity Profiles Measured by Microwave Radiometer

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