The measurement of wind erosion through field survey and remote sensing: a case study of the Mu Us Desert, China
Yue Y. J.; Shi, P. J.; Zou, X. Y.; Ye, X. Y.; Zhu, A. X.; Wang, J. A.
2015
关键词Wind erosion Quantitative retrieval model Field survey Remote sensing Mu Us Desert vegetation cover semiarid china northwest china northern china dune mobility desertification model sand prediction transport
英文摘要The measurement of wind erosion is not only important to understand wind erosion itself, but also an important scientific step in efforts to reverse the process of desertification. This study develops a model that predicts sand transport flux at pixel level based on the quantitative relationship between remotely sensed vegetation coverage and observed sand transport rate data. The data were collected from field surveys in the sandy area of Yuyang County, which is located in the Mu Us Desert. The study found that the sand transport flux was 9,643 kilograms per meter annually (kga(-1) m(-1)) for a mobile dune, 6,394 kga(-1) m(-1) for a semi-mobile dune, 2,634.5 kga(-1) m(-1) for bare cultivated land, and 127.7 kga(-1) m(-1) for a semi-fixed dune. Using the sand flux derived by our model, the wind erosion modulus in the Yuyang sandy area was found to be 1,673.18 tons per square kilometer annually [ta(-1) (km(2))(-1)] in 1986, 1,568.10 in 1996, and 1,685.04 in 2005. Mean vegetation coverage in the sandy area of Yuyang in 1986, 1996, and 2005 was 42.39, 48.07, and 48.03 %, respectively, indicating that overall, vegetation coverage increased in the region, while decreasing in some areas, and that the vegetation coverage incensement failed to reduce the quantity of regional wind erosion. This sand flux retrieval method has the potential for successful application in other, similar areas.
出处Natural Hazards
76
3
1497-1514
收录类别SCI
语种英语
ISSN号0921-030X
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/39019]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Yue Y. J.,Shi, P. J.,Zou, X. Y.,et al. The measurement of wind erosion through field survey and remote sensing: a case study of the Mu Us Desert, China. 2015.
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