ESTABLISHMENT OF EARLY GEOHAZARD WARNING SYSTEM USING MODERN INFORMATION TECHNOLOGY

HUANG Jian; JU Nengpan; HE Chaoyang; XIAO Yang

doi:10.13544/j.cnki.jeg.2015.01.020

Volume 23 Issue 1

Feb. 2015

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HUANG Jian, JU Nengpan, HE Chaoyang, XIAO Yang. 2015: ESTABLISHMENT OF EARLY GEOHAZARD WARNING SYSTEM USING MODERN INFORMATION TECHNOLOGY. JOURNAL OF ENGINEERING GEOLOGY, 23(1): 140-147. doi: 10.13544/j.cnki.jeg.2015.01.020

Citation:

HUANG Jian, JU Nengpan, HE Chaoyang, XIAO Yang. 2015: ESTABLISHMENT OF EARLY GEOHAZARD WARNING SYSTEM USING MODERN INFORMATION TECHNOLOGY. JOURNAL OF ENGINEERING GEOLOGY, 23(1): 140-147. doi: 10.13544/j.cnki.jeg.2015.01.020

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ESTABLISHMENT OF EARLY GEOHAZARD WARNING SYSTEM USING MODERN INFORMATION TECHNOLOGY

doi: 10.13544/j.cnki.jeg.2015.01.020

State Key Laboratory of Geohazard Prevention and Geoenvironment, Chengdu University of Technology, Chengdu 610059

Funds:

Received Date: 2014-03-04
Rev Recd Date: 2014-08-07
Publish Date: 2015-02-25

Abstract

Abstract

Early warning system acts as an important role in improving the actively responding ability of human beings to control and mitigate geohazards. Especially, geohazards have occurred more and more frequently in recent years with the construction and resource exploitation in the Southwest of China. By the restriction of economic development and so on, however, only a part of geohazards have been controlled through engineering construction. Others need to be prevented with effective monitoring. This paper begins with some key points in order to establish early geohazards warning system. Then, it summarizes the main characteristics of modern information technology, and puts forward the data collection, remote wireless transmission, data organization and integration, and fast data mining method. They are base on Internet of Things, modern mobile communication and cloud computing technologies. Meanwhile, a real-time early geohazard warning system has been developed. The Longjingwan landslide is selected for example application. The results show that the methods are feasible. The system functionalities are reliability basically. They can provide a useful technology support for geohazards mitigating and preventing.
- Geohazard,
- Early warning of monitoring,
- Modern information technology,
- Data mining

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References(1)

References

Baum R L, Godt J W. 2010. Early warning of rainfall-induced shallow landslides and debris flows in the USA[J]. Landslides, 7 (3): 259～272.

Berezdivin R, Breinig R, Topp R. 2002. Next generation communications concepts and technologies[J]. Communications Magazine, IEEE, 40 (3): 108～116.

Chinese Academy of Electronic Information Industry, Saidi Limited Liability Company. 2012. Trategic study of big data production[R]. Beijing: Saidi Limited Liability Company.

Greco R, Giorgio M, Capparelli G, et al. 2013. Early warning of rainfallinduced landslides based on empirical mobility function predictor[J]. Engineering Geology, 153 (8): 68～79.

Huang J. 2012. Study on early warning of geohazards based on 3D WebGis technology[Doctorate Thesis][D]. Chengdu: Chengdu University of Technology.

Inmon W H. 2003. Data warehouse(Version 3)[M]. Beijing: China Machine Press.

Lin H C, Yu Y Z, Li G X, et al. 2009. Influence of rainfall characteristics on soil slope failure[J]. Chinese Journal of Rock Mechanics and Engineering, 28 (1): 198～204.

Luo J Z, Jin J H, Song A B, et al. 2011. Cloud computing: Architecture and key technologies[J]. Journal on Communications, 32 (7): 3～21.

Tang R. 2007. Research on monitoring technology with the application to landslide control—Taking Danba landslide for example[Thesis of Master][D]. Chengdu: Chengdu University of Technology.

Wang B Y. 2009. Review on internet of things[J]. Journal of Electronic Measurement and Instrument, 23 (12): 1～7.

Xu Q, Zeng Y P, Qian J P, et al. 2009. Study on a improved tangential angle and the corresponding landslide prewarning criteria[J]. Geological Bulletin of China, 28 (4): 501～505.

Xue R. 2011. Research of Key Technologies of Elect Massage Transmission Based on Beidou System[Thesis of Master][D]. Shijiazhuang: Hebei University of Technology.

Yang W, Zhu G, Tan Z H, et al. 2004. New generation mobile communication and its applications[J]. Journal of the China Railway Society, 26 (5): 115～120.

Zeng Y P. 2009. Study on forecast and prediction of large scale and sudden landslide hazard[Doctorate Thesis][D]. Chengdu: Chengdu University of Technology.

Zhang B. 2010. Key Issues of Landslide Remote Monitoring System. Beijing[Doctorate Thesis][D]: China University of Mining and Technology.

Zhang Z D. 1995. Development and Economic Influence from Information Technology in USA[M]. Wuhan: Wuhan University Press.

黄健. 2012. 基于3D WebGIS技术的地质灾害监测预警研究[博士学位论文][D]. 成都: 成都理工大学.

林鸿州, 于玉贞,李广信,等. 2009. 降雨特性对土质边坡失稳的影响[J]. 岩石力学与工程学报, 28 (1): 198～204.

罗军舟, 金嘉晖,宋爱波,等. 2011. 云计算:体系架构与关键技术[J]. 通信学报, 32 (7): 3～21.

唐然. 2007. 监测技术及其在滑坡防治过程中的应用研究——以丹巴县城建设街后山滑坡为例[硕士学位论文][D]. 成都: 成都理工大学.

王保云. 2009. 物联网技术研究综述[J]. 电子测量与仪器学报, 23 (12): 1～7.

许强, 曾裕平,钱江澎,等. 2009. 一种改进的切线角及对应的滑坡预警判据[J]. 地质通报, 28 (4): 501～505.

薛瑞. 2011. 基于北斗的预警信息传输关键技术研究[硕士学位论文][D]. 石家庄: 河北工业大学.

杨维, 朱刚,谈振辉,等. 2004. 新一代移动通信及其应用[J]. 铁道学报, 26 (5): 115～120.

曾裕平. 2009. 重大突发性滑坡灾害预测预报研究[博士学位论文][D]. 成都: 成都理工大学.

张斌. 2010. 滑坡地质灾害远程监测关键问题研究[博士学位论文][D]. 北京: 中国矿业大学.

张正德. 1995. 美国信息技术的发展及其经济影响[M]. 武汉: 武汉大学出版社.

中国电子信息产业发展研究院, 赛迪顾问股份有限公司. 2012. 大数据产业生态战略研究[R]. 北京: 赛迪顾问股份有限公司.

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