Abstract
Sandstorm is a disastrous weather phenomenon, Gansu Province is in the high incidence region of sandstorm. So the sandstorm is one of the major casualty weather in recent years in Gansu, causing lots of losses. it is undoubtedly favor of reducing loss to predict annual occurrence frequency of sandstorm. This paper based on achievements on sandstorm, choosed Dingxin, Jinta, Jiuquan, Zhangye, Minqin, five areas, where the sandstorm disasters is very serious, selected the latest 8 years’ data by analysis the data of 1971 – 2007 as the original data, predict annual sandstorm occurrence frequency of recent years based on bootstrap method.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Li, Y.: New Advances of Research on Sand-dust Storm during Recent Years in China. Journal of Desert Research 24(5), 616–622 (2004)
Shi, X.: BOOTSTAP——A REVIVEW. Chinese Journal of Applied Probability and Statistics 3(2), 167–177 (1987)
Wang, J.: Several Problems Study of Climate Jump Detection and Climate Information Quality Supervising
Wang, S., Dong, G., et al.: Advances in Studying Sand-dust Storms of China. Journal of Desert Research 20(4), 349–356 (2000)
Wang, S., Dong, G., Yang, D., et al.: A Study on Sand-dust Storms Over the Desert Region in North China. Journal of Natural Disasters 5(2), 86–94 (1996)
Ye, D., Chou, J., Liu, J., et al.: Causes of Sand-stormy Weather in Northern China and Contral Measures. Acta Geographica Sinca 55(5), 513–521 (2000)
Zhang, L., Ren, G.: Change in Dust Storm Frequency And the Climatic Controls in Northern China. Acta Meteorologica Sinica 61(6), 744–750
Zhao, J., Xu, J.: Time-Series Fractal Characteristics of Sandstorm Frequency in Hexi Corrido. Journal of Desert Research 23(4), 415–419 (2003)
Zhao, X.: Damage and Countmeasures of Catastrophic Sandstorm Occurred in Gansu Province. Journal of Desert Research 13(3), 1–7 (1993)
Beran, R.: Bootstrap Methods in Statistics, Jber.d.Dt., Math-Verein, pp. 14–30 (1986)
Efron, B.: Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics 7(1), 1–26 (1979)
Efron, B.: The Jackknife, The Bootstrap and other resampling plans. SIAM, Philadelphia (1983)
Efron, B.: Jackknife-after-Bootstrap standard error sand influence functions. J.R. Statist., Soc.B 54, 83–127 (1992)
Tibshirani, R.J.: Bootstrap confidence intervals, Tech Report. No.91, Stanford University (April 1984)
Wang, S., Wang, J., Zhou, Z., et al.: Regional characteristics of three kinds of dust storm events in China. Atmospheric Environment 39, 509–520 (2005)
Wang, J.: Relation between the SandStorm Occurrence Frequeney and Climate Factors and the Analysis of Dust Entrainment and Deposition, Thesis Submitted to Nanjing University of Information Science & Technology inpartial fulfillment of the requirements for the degree of Master of Natural Science (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dong, J., Chen, H., Wang, J., Sun, D. (2008). Sandstorm Occurrence Frequency Short-Term Prediction Based on Bootstrap Method. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_63
Download citation
DOI: https://doi.org/10.1007/978-3-540-92137-0_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92136-3
Online ISBN: 978-3-540-92137-0
eBook Packages: Computer ScienceComputer Science (R0)