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ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

The Method for Quantitative Assessment of Sand-Drift Rate along the Southeastern Fringe of the Taklimakan Desert

Journal of Environmental Accounting and Management 12(1) (2024) 27--45 | DOI:10.5890/JEAM.2024.03.003

Ning Huang$^{1,2}$, Yanhong Song$^{1,2}$, Lihang Xu$^{1,2}$, Qiong Kuang$^{3}$, Jian Chen$^{3}$, Chao Liu$^{3}$,\\ Jianyong Xie$^{12}$, Guowei Xin$^{4}$, Jie Zhang$^{1, 2}$

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Abstract

Wind-blown sand disasters around the Taklimakan Desert have a great impact on the local residential environment and infrastructure. A quantifying sand-drift rate is essential for the local sand-control engineering. However, most studies investigate and evaluate the \textit{Drift Potential} (\textit{DP}) based on the wind information, which is convenient but may differ significantly from the actual sand-transport rate per unit width \textit{Q}. Long-term wind-blown sand observation was carried out at the southeastern edge of the Taklimakan Desert, and six monitoring sites, with anemometers and sand containers, were set up within an 800 km area. The results show that a significant discrepancy exists between the \textit{DP} and the measured \textit{Q}. In order to assess the relationship between the \textit{DP} and \textit{Q }under the large differences in surface properties, three methods are proposed to assess the actual sand-transport rate per unit width \textit{Q}. The first two methods (two Copula assessment models) are based on the Probabilistic Metric Space (PMS) theory. The models can evaluate the actual \textit{Q} to at least 18.42\%, when the \textit{DP} is above 0.1 (\textit{DP} is more than 7 VU${}_{B}$ (Vector Unit)). But the models are invalid for the evaluation of the real \textit{Q} when the \textit{DP} is below 0.1. The third method is to define the sand-drift factor \textit{C}${}_{i}$ affected by the sand-particle characteristics and surface characteristics to be used to improve the existing framework of the \textit{DP} to evaluate fully the real \textit{Q}. It is an improved method for quantifying and predicting the blown-sand movement of the study area, which has been demonstrated to outperform the two Copula assessment models under lower \textit{DP}.

References

  1. [1]  Sun, J.M., Zhang, Z.Q., and Zhang, L.Y. (2009), New evidence on the age of the Taklimakan desert, Geology, 37(2), 159-162.
  2. [2]  Wang, X., Dong, Z., Zhang, J., and Chen, G. (2002), Geomorphology of sand dunes in the northeast Taklimakan desert, Geomorphology, 42(3), 183-195.
  3. [3]  Zheng, H., Wei, X., Tada, R., Clift, P., Wang, B., Jourdan, F., Wang, P., and He, M. (2015), Late oligocene-early miocene birth of the taklimakan desert, Proceedings of the National Academy of Sciences of the United States of America, 112(25), 7662-7.
  4. [4] Bruno, L., Horvat, M., and Raffaele, L. (2018), Windblown sand along railway infrastructures: a review of challenges and mitigation measures, Journal of Wind Engineering and Industrial Aerodynamics, 177, 340-365.
  5. [5]  Han, Z., Dong, Z., Wang, T., Chen, G., Yan, C., and Yao, Z. (2004), Observations of several characteristics of aeolian sand movement in the Taklimakan Desert, Science in China Series D: Earth Sciences, 47(1), 86-96.
  6. [6]  Dong, Z., Wang, X., and Chen, G. (2000), Monitoring sand dune advance in the Taklimakan desert, Geomorphology, 35(3), 219-231.
  7. [7]  Dong, Z., Chen, G., He, X., Han, Z., and Wang, X. (2004), Controlling blown sand along the highway crossing the Taklimakan desert, Journal of Arid Environments, 57(3), 329-344.
  8. [8]  Wang, D. and LEI. (2004), Differences of blown sand disaster in the shelter system in different positions on the sand ridges along no.1 desert highway in the hinterland of Taklimakan desert, Journal of Arid Land Resources $\&$ Environment, 2004(05), 29-33.
  9. [9]  Ma, X., Li, S., Wang, H., Sun, N., Yu, X., Feng, X., and Yuan, X. (2016), Concave surface features in sand-fixing net barriers and evaluation of sand-fixing benefits, Arid Zone Research, 33(04). (in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-GHQJ201604029.htm.
  10. [10]  Raffaele, L. and Bruno, L. (2020). Windblown sand mitigation along railway megaprojects: a comparative study, Structural Engineering International, 30(3), 355-364.
  11. [11]  Liang X., Zuo S., Li, S., and Feng, Y. (2020), Burial Process of a Seismic Station by Moving Dunes in Tarim Basin, Seismological Research Letters, 91(5), 2936-2941.
  12. [12]  Yuan, Y., Hu, L., He, Q., Pan, X., and Wei, G. (2004), Preliminary study on the characteristics of sand-surface reflective spectra in the hinterland of the Taklimakan desert in winter, Proceedings of SPIE - The International Society for Optical Engineering, 5544, 481-488.
  13. [13]  Ling, Y. (1988), The flow field characteristics and its relation to the intensity of drifting sand activity in Taklimakan Desert. Journal of desert research, 8(2):25-37. (in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-ZGSS198802002.htm.
  14. [14]  Ling, Y. (1990), The Climatic Characteristics and Its Changing Tendency in the Taklimakan Desert, Journal of desert research, 10(2), 12-19. (in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-ZGSS199002001.htm.
  15. [15]  Ma, B., Gao, L., Cheng, J., Ding, B., Ding, L., Qu, L., and An, Y. (2022), Characteristics and hazards of an Aeolian sand environment along railways in the southeastern fringe of the Taklimakan desert and sand control measures, Applied Sciences, 12(18), 9186.
  16. [16]  Li, Z. and Chen, G. (1999), Effective wind regime in the Taklimakan desert, Journal of desert research, 01, 44-46. (in Chinese).
  17. [17]  Zu, R., Xian, X., Qiang, M., Bao, Y., Qu, J., and Zhang, K. (2008), Characteristics of near-surface wind regimes in the Taklimakan desert, china. Geomorphology, 96(1-2), 39-47.
  18. [18]  Zeng, J., Guo, F., Zhao, C., Sun, Z., and Zhao, Y. (2014), Climate change of small oases in the southern margin of Taklimakan Desert in recent 50 years, Arid Land Geography, 37(05), 948-957. (in Chinese). https://www.zhangqiaokeyan.com/academic-journal-cn\_detail\_thesis/0201294523670.html.
  19. [19]  Wang, Y. (2018), Characteristics of the Surface Wind in the Southern Margin of Taklimakan, Sichuan Normal University, dissertation. http://cdmd.cnki.com.cn/Article/CDMD-10636-1018157513.htm.
  20. [20]  Martin, R., Pieter V., Andrew, C., Anna, B., Thomas, S., Eduardo, G., Sergio, A., Giovanni, V., Ripul, D., Xu, Z., and Lu, H. (2016), The provenance of Taklimakan desert sand, Earth and Planetary Science Letters, 437, 127-137.
  21. [21]  Xiao, F. and Zhou, C. (2008), Dust storms evolution in Taklimakan desert and its correlation with climatic parameters, Journal of Geographical Sciences, 18(4), 415-424.
  22. [22]  Yang, X., Shen, S., Yang, F., He, Q., Ali, M., Huo, W., and Liu, X. (2016), Spatial and temporal variations of blowing dust events in the Taklimakan desert, Theoretical $\&$ Applied Climatology, 125(3-4), 669-677.
  23. [23]  Wang, J., Song, Y., and Huang, N. (2023), Field observation on the spatial characteristic of wind-blown sand along the Hetian-Rouqiang Railway, Journal of Physics Conference Series 2468(1), 012174.
  24. [24]  Bagnold, R.A. (1942), The Physics of Blown Sand and Desert Dunes, Springer Netherlands.
  25. [25]  P\"{a}htz, T. and Dur{a}n, O. (2020), Unification of aeolian and fluvial sediment transport rate from granular physics, Physical Review Letters, 124(16), 168001. https://doi.org/10.1103/PhysRevLett.124.168001.
  26. [26]  Mayaud, J.R., Bailey, R.M., Wiggs, G.F.S., and Weaver, C.M. (2017), Modelling aeolian sand transport using a dynamic mass balancing approach, Geomorphology, 280(1), 108-121.
  27. [27]  Huo, X., Huang, N., and Zhang, J. (2022), A numerical research on the relationship between Aeolian sand ripples and the sand flux, Processes, 10(2), 354. https://doi.org/10.3390/pr10020354.
  28. [28]  Wu, Z. (1987), Wind and Sand Geomorphology, Science Press. (in Chinese).
  29. [29]  Zhou, Y.H., Guo, X., and Zheng, X.J. (2002), Experimental measurement of wind-sand flux and sand transport for naturally mixed sands, Physical Review E, 66(2 Pt 1), 021305. https://doi.org/10.1103/PhysRevE.66.021305.
  30. [30]  Zheng, X.J., Huang, N., and Zhou, Y.H. (2003), Laboratory measurement of electrification of wind-blown sands and simulation of its effect on sand saltation movement, Journal of Geophysical Research: Biogeosciences, 108(10). https://doi:10.1029/2002JD002572.
  31. [31]  Lettau, K. and Lettau, H.H. (1978), Experimental and micrometeorological field studies of dune migration, Exploring in the World's driest climate, University of Wisconsin-Madison, IES Report 101, pp. 110-147.
  32. [32]  Dong, Z., Liu, X., Wang, H., and Wang, X. (2003), Aeolian sand-transport: a wind tunnel model, Sediment Geology, 161, 71-83.
  33. [33]  Liu, L., Yang, Y., Shi, P., Zhang, G., and Qu, Z. (2015), The role of maximum wind speed in sand-transporting events, Geomorphology, 238, 177-186.
  34. [34]  Zhang, Z., Dong, Z., Zhao, A., and Qian, G. (2011), Relationship between sand-transport and sand drift potential, Journal of desert research, 31(4), 824-827. (in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-ZGSS201104004.htm.
  35. [35]  Fryberger, S.G. (1979), Dunes Forms and Wind Regime, A Study of Global Sand Seas, 1052, 137-169.
  36. [36]  Yang, X., Qing, H., Mamtimin, A., Huo, W., and Liu, X. (2013), Observational study on near-surface horizontal sand-dust flux of sandstorms in the southeastern fringe of the Taklimakan desert, Journal of Desert Research, 33(5), 1299-1304.
  37. [37]  Bogle, R., Redsteer, M., and Vogel, J. (2015), Field measurement and analysis of climatic factors affecting dune mobility near grand falls on the navajo nation, southwestern united states, Geomorphology, 228, 41-51.
  38. [38]  Kilibarda, Z. and Kilibarda, V. (2016), Seasonal geomorphic processes and rates of sand movement at Mount Baldy dune in Indiana, USA, Aeolian Research, 23A, 103-114.
  39. [39]  Yang, Y., Qu, Z., Shi, P., Liu, L., Zhang, G., Tang, T., Hu, X., Lv, Y., Xiong, Y., and Wang, J. (2014), Wind regime and sand-transport in the corridor between the Badain jaran and Tengger deserts, central alxa plateau, china, Aeolian Reearch, 12, 143-156.
  40. [40]  Yang, X., Forman, S., Hu, F., Zhang, D., Liu, Z., and Li, H. (2016), Initial insights into the age and origin of the Kubuqi sand sea of northern China, Geomorphology, 259, 30-39.
  41. [41]  Bullard, J.E. (1997), A note on the use of the ``fryberger method" for evaluating potential sand-transport by wind, Journal of Sedimentary Research, 67(3), 499-501.
  42. [42]  Barchyn, T.E. and Hugenholtz, C.H. (2011), Comparison of four methods to calculate aeolian sediment transport threshold from field data implications for transport predictionand discussion of method evolution, Geomorphology, 129, 190-203.
  43. [43]  del Valle, H., Rostagno, C., Coronato, F., Bouza, P., and Blanco, P. (2008), Sand dune activity in north-eastern Patagonia, Journal of Arid Environments, 72(4), 411-422.
  44. [44]  Zhang, K., Qu, J., Liao, K., Niu, Q., and Han, Q. (2010), Damage by wind-blown sand and its control along Qinghai-Tibet Railway in China, Aeolian Research, 1, 143-146.
  45. [45]  Xie, S., Qu, J., and Pang, Y. (2017), Dynamic wind differences in the formation of sand hazards at high- and A$\mathrm{\sim}$Slow-altitude railway sections, Journal of Wind Engineering and Industrial Aerodynamics, 169, 39-46.
  46. [46]  Cheng, J., Jiang, F., Xue, C., Xin, G., Li, K., and Yang, Y. (2015), Characteristics of the disastrous wind-sand environment along railways in the Gobi area of Xinjiang, China, Atmospheric Environment, 102, 344-354.
  47. [47]  Zhang, Z., Dong, Z., and Chen, S. (2013), Wind erodibility in eastern Ningxia province, China, Environmental Earth Sciences, 68, 2263-2270.
  48. [48]  Yang, H. and Shi, C. (2018), Spatial and temporal variations of aeolian sediment input to the tributaries (the ten kongduis) of the upper yellow river, Aeolian Research, 30, 1-10.
  49. [49]  Hereher, M. (2014), Assessment of sand drift potential along the Nile Valley and Delta using climatic and satellite data, Applied Geography, 55, 39-47.
  50. [50]  Boulghobra, N., Koull, N., and BENZAOUI, T. (2016), Four decades period of climatic data for assessing the aeolian hazard in the region of Touggourt (Low Algerian Sahara), Geographia Technica, 11, 13-22.
  51. [51]  Boulghobra, N. (2016), Climatic data and satellite imagery for assessing the aeolian sand deposit and barchan migration, as a major risk sources in the region of In-Salah (Central Algerian Sahara), Arabian Journal of Geosciences, 9(6), 1-15.
  52. [52]  Jia, W.R., Sheng-Yu, L.I., and Wang, N. (2016), Spatial variation of compaction on transverse dune surface in hinterland of the Taklimakan desert, Arid Zone Research, 03, 664-67. (in Chinese).
  53. [53]  Ji, Q. (1996), Application of grain size analysis in the studies of Taklimakan desert, Journal of Desert Research, 6(02), 173-179. (in Chinese). http://en.cnki.com.cn/Article\_en/CJFDTOTAL-ZGSS602.012.htm.
  54. [54]  Xia, Q.Q., Jia-Ju, M.A., and Zhang, F. (2014), The grain size parameters measurment of sediment at the yuansha delta in central Taklimakan desert, Journal of Xinjiang University (Natural Science Edition), 01, 12-16+127.
  55. [55]  Pye, K. and Tsoar, H. (2009), Aeolian Sand and Sand Dunes, Springer.
  56. [56]  Raffaele, L., Bruno, L., Pellerey, F., and Preziosi, L. (2016), Windblown sand saltation: a statistical approach to fluid threshold shear velocity, Aeolian Research, 23, 79-91.
  57. [57]  Raffaele, L., Bruno, L., Fransos, D., and Pellerey, F. (2017), Incoming windblown sand drift to civil infrastructures: a probabilistic evaluation, Journal of Wind Engineering and Industrial Aerodynamics, 166, 37-47.
  58. [58]  Raffaele, L., Bruno, L., and Wiggs, G.F. (2018), Uncertainty propagation in aeolian processes: from threshold shear velocity to sand-transport rate, Geomorphology, 301, 28-38.
  59. [59]  Sempi, C. (2003), Probabilistic metric spaces - sciencedirect, Encyclopedia of General Topology, 288-292.
  60. [60]  Liu, D., Ishizuka, M., Mikami, M., and Shao, Y. (2018). Turbulent characteristics of saltation and uncertainty of saltation model parameters, ~ Atmospheric Chemistry and Physics, 18(10), 7595-7606.
  61. [61]  Iversen, J. and White, B. (1982), Saltation threshold on earth, mars and venus, Sedimentology, 29, 111-119.
  62. [62]  Shao, Y. and Lu, H. (2000), A simple expression for wind erosion threshold friction velocity, Journal of Geophysical Research: Atmospheres, 105, 22437-22443.
  63. [63]  Duan, S., Cheng, N., and Xie, L. (2013), A new statistical model for threshold friction velocity of sand particle motion, Catena, 104, 32-38
  64. [64]  Zhang, K., Zu, R., Quan, J., Liao, K., and Ling, Y. (2008). Relationship between Sand Drift Potential and Maximum Possible Sand Transport in Southeast of Tengger Desert, Journal of Desert Research, 28(4), 605-610. (in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-ZGSS200804002.htm.
  65. [65]  Cortes, C. and Vapnik, V.N. (1995), Support vector networks, Macchine Lerning, 20(3), 273-297.
  66. [66]  Benesty, J., Chen, J., Huang, Y., and Cohen, I. (2009), Pearson correlation coefficient, In~Noise reduction in speech processing, 1-4, Springer, Berlin, Heidelberg.
  67. [67]  Brophy, A.L. (1986), An algorithm and program for calculation of Kendall's rank correlation coefficient, Behavior Research Methods, Instruments, $\&$ Computers, 18, 45-46.
  68. [68] Gauthier, T.D. (2001), Detecting trends using spearman's rank correlation coefficient, Environmental Forensics, 2(4), 359-362.
  69. [69]  McKenna, N. (2003), Effects of temperature and humidity upon the entrainment ofsedimentary perticles by wind, Boundary-Layer Meteorology, 108, 61-89.
  70. [70]  McKenna-Neuman, C. and Nickling, W.G. (1989), A theoretical and wind tunnel investigation ofthe effect of capillary water on the entrainment of sediment by wind, Canadian Journal of Soil Science, 69, 79-96.
  71. [71]  Nickling, W.G. (1988), The initiation of particle movement by wind, Sedimentology, 35, 499-511.
  72. [72]  Edwards, B.L. and Namikas, S.L. (2015), Characterizing the sediment bed in terms of resistance to motion toward an improved model of saltation thresholds for Aeolian transport, Aeolian Research, 19, 123-128.
  73. [73]  Lancaster, N. and Baas, A. (1998), Influence of vegetation cover on sand-transport by wind: field studies at owens lake, California, Earth Surface Processes and Landforms, 23, 69-82.
  74. [74]  Hoonhout, B.M., and de Vries, S. (2016), A process-based model for aeolian sedimenttransport and spatiotemporal varying sediment availability, Journal of Geophysical Research: Earth Surface, 121, 1555-1575.
  75. [75]  Shao, Y. (2008), Physics and Modelling of Wind Erosion, Springer. https://link.springer.com/book/10.1007/978-1-4020-8895-7.
  76. [76]  Frees, E.W. and Valdez, E.A. (1998), Understanding relationships using copulas, North American Actuarial Journal, 2, 1-25.
  77. [77]  Marshall, A.W. and Olkin, I. (1988), Families of multivariate distributions, Journal of the American Statistical Association, 83, 834-841.
  78. [78]  Pal, M.N. and Banerjee, M. (2022), Retinal vessel segmentation using a strip wise classification approach with grid search-based parameter selection, International Journal of Computational Vision and Robotics, 12(2), 194-218
  79. [79]  Spackman, K. A. (1989), Signal detection theory: Valuable tools for evaluating inductive learning, In Proceedings of the Sixth International Workshop on Machine Learning, 160-163. Morgan Kaufmann.

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