Developing trend of aeolian desertification in China’s Tibet Autonomous Region from 1977 to 2010

Li, Qing; Zhang, Chunlai; Shen, Yaping; Jia, Wenru; Li, Jiao

doi:10.1007/s12665-016-5709-z

Cited by 24 publications

(14 citation statements)

References 15 publications

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“…By collecting and analyzing changes of these three variables in this research during the study period (Fig. 2 ), we found that the average temperature increased markedly with a mean of 0.042 °C/year in our study area, which was greater than the overall rate for China since 1965 (0.022 °C/year) and the global mean rate of increase (0.003–0.006 °C/year) during 1975–2015 15 , 24 , 25 . The average precipitation showed a larger inter-annual fluctuation with a maximum value of 470.6 mm in 1978 and a minimum value of 350.6 mm in 2011.…”

Section: Discussionmentioning

confidence: 84%

“…From 1975 to 1990, the area of ADL had been expanded by 1448.76 km 2 , representing a 96.58 km 2 /year increase in the total of ADL since 1975 (Table 2 ). Thus, this period can be defined as a stage of slower expansion 15 . Four types of ADL expanded in a varying degree.…”

Section: Resultsmentioning

confidence: 99%

“…From 1990 to 2000, the area of ADL expanded continuously at a rate of 213.65 km 2 /year, which was faster compared to that during 1975–1990. Therefore, this period can be classified as a stage of rapid expansion 15 . The area of ADL increased in all severity classes.…”

Section: Resultsmentioning

confidence: 99%

“…Recently, aeolian desertification has attracted the concern of many researchers. The major common outcomes of aeolian research have related desertification not only to its spatiotemporal changes or driving forces 10 – 15 , but also to its impacts on the environment 16 , 17 .…”

Section: Introductionmentioning

confidence: 99%

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Quantitative assessment of aeolian desertification dynamics– A case study in north Shanxi of China (1975 to 2015)

Xue

Qin

Cheng

et al. 2017

Sci Rep

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Aeolian desertification is one of the serious environmental issues in North Shanxi Province. Accurately assessing aeolian desertification dynamics and its causes is essential to formulate an effective strategy for combating aeolian desertification. Here, we adopted remote sensing (RS) images from four periods (1975, 1990, 2000, and 2015) to classify the intensity of aeolian desertified land (ADL). Four intensity grades (i.e., light, moderate, severe, and extremely severe) were categorized based on a series of indices. Then, the RS images were further interpreted coupled with the local climate and socio-economic data to evaluate ADL and its driving force. Results showed that there were 3941.16, 5389.92, 7526.38, and 3752.74 km2 of ADL in the above 4 periods, accounting for 28.56%, 39.06%, 54.53%, and 27.19% of the total study area, respectively. ADL experienced three major development stages: slower expansion during 1975–1990 at a rate of 96.58 km2/year, rapid expansion during 1990–2000 of 213.65 km2/year, and a reversion during 2000–2015 with a net decrease of 251.58 km2/year. The ADL development in north Shanxi was a result of mutual interaction between natural factors and human activities. It is also noted that the human activities were identified as the dominant driving force.

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Section: Discussionmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative assessment of aeolian desertification dynamics– A case study in north Shanxi of China (1975 to 2015)

Xue

Qin

Cheng

et al. 2017

Sci Rep

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“…Aeolian processes are very effective in areas with high available unconsolidated sediments and sparse vegetation conditions. Li, Zhang, Shen, Jia, and Li (2016) found that land degraded by aeolian degradation expanded rapidly from 1977 to 1990, then slowed down from 1990 to 2000. The anthropogenic cause of land degradation is related to overpopulation and excessive exploitation of natural resources in some local areas (Li, Yang, Gao, Chen, & Yao, 2004).…”

Section: Assessment Of the Effects Of Land Degradation On The Tp Climmentioning

confidence: 99%

Land–Climate Interaction Over the Tibetan Plateau

Xue¹,

Ma²,

Li³

2017

Oxford Research Encyclopedia of Climate Science

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The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented in this article: (1) Scientists have long been aware of the role of the TP in atmospheric circulation. The view that the TP’s thermal and dynamic forcing drives the Asian monsoon has been prevalent in the literature for decades. In addition to the TP’s topographic effect, diagnostic and modeling studies have shown that the TP provides a huge, elevated heat source to the middle troposphere, and that the sensible heat pump plays a major role in the regional climate and in the formation of the Asian monsoon. Recent modeling studies, however, suggest that the south and west slopes of the Himalayas produce a strong monsoon by insulating warm and moist tropical air from the cold and dry extratropics, so the TP heat source cannot be considered as a factor for driving the Indian monsoon. The climate models’ shortcomings have been speculated to cause the discrepancies/controversies in the modeling results in this aspect. (2) The TP snow cover and Asian monsoon relationship is considered as another hot topic in TP land/atmosphere interaction studies and was proposed as early as 1884. Using ground measurements and remote sensing data available since the 1970s, a number of studies have confirmed the empirical relationship between TP snow cover and the Asian monsoon, albeit sometimes with different signs. Sensitivity studies using numerical modeling have also demonstrated the effects of snow on the monsoon but were normally tested with specified extreme snow cover conditions. There are also controversies regarding the possible mechanisms through which snow affects the monsoon. Currently, snow is no longer a factor in the statistic prediction model for the Indian monsoon prediction in the Indian Meteorological Department. These controversial issues indicate the necessity of having measurements that are more comprehensive over the TP to better understand the nature of the TP land/atmosphere interactions and evaluate the model-produced results. (3) The TP is one of the major areas in China greatly affected by land degradation due to both natural processes and anthropogenic activities. Preliminary modeling studies have been conducted to assess its possible impact on climate and regional hydrology. Assessments using global and regional models with more realistic TP land degradation data are imperative.Due to high elevation and harsh climate conditions, measurements over the TP used to be sparse. Fortunately, since the 1990s, state-of-the-art observational long-term station networks in the TP and neighboring regions have been established. Four large field experiments since 1996, among many observational activities, are presented in this article. These experiments should greatly help further research on TP land/atmosphere interactions.

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Preparation and characterization of an eco‐friendly sand‐fixing agent utilizing nanosilica/polymer composites

Yuan

Pei

Yang

et al. 2023

J of Applied Polymer Sci

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A novel sand-fixing curing agent was developed and applied as a sustainable sand-fixing material. This research prepared a self-degradable, eco-friendly sand-fixing curing agent by using nanosilica and a polymer as the main raw materials (nanosilicon/polymer composite, NSPC), its mechanical properties and hydration mechanism were investigated. The results showed that adsorption of the NSPC on sand particles followed pseudo second-order kinetics, and the optimum mixing time of the NSPC and sand was 3 h. The compressive strength of the sample reached 6.07 MPa after 28 days with the optimal mass ratio of NSPC and sand. After 20 freezing-thawing cycles, the compressive strength was 3.25 MPa. The results indicated that the NSPC improved the sand's capacity for water retention. The chemical reaction between the NSPC and sand particles occurred at the microlevel and improved the sand strength by bonding the particles together. The NSPC curing agent satisfied the requirements of sand-fixing technology during 5 months of field tests. A mixture of the NSPC and sandy soil with a mass ratio of 1:3 is recommended for wind erosion control in the field. A field engineer in these situations may take advantage of the mixture to sprayed it onto the sandy surface.

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Developing trend of aeolian desertification in China’s Tibet Autonomous Region from 1977 to 2010

Cited by 24 publications

References 15 publications

Quantitative assessment of aeolian desertification dynamics– A case study in north Shanxi of China (1975 to 2015)

Quantitative assessment of aeolian desertification dynamics– A case study in north Shanxi of China (1975 to 2015)

Land–Climate Interaction Over the Tibetan Plateau

Preparation and characterization of an eco‐friendly sand‐fixing agent utilizing nanosilica/polymer composites

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