| 监测预警技术在泥石流灾害中的应用 |
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| 引用本文： | 徐根祺,温宗周,李丽敏,马婧,姚怡.监测预警技术在泥石流灾害中的应用[J].有色金属科学与工程,2021,12(2):97-104. |
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| 作者姓名： | 徐根祺 温宗周 李丽敏 马婧 姚怡 |
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| 作者单位： | 1.西安交通工程学院电气工程学院，西安 710300 |
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| 基金项目： | 陕西省教育厅科学研究资助项目(17JK0346)。 |
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| 摘 要： | 我国幅员辽阔，地质环境多变，灾害分布范围广，常年受到地质灾害侵袭，给灾害多发区居民的生命财产安全带来极大危害，泥石流灾害的防治工作至关重要，研发泥石流灾害预警系统成为重中之重。针对目前泥石流灾害数据获取困难、数据量不足且预警准确率不高的问题，设计了用于泥石流影响因子数据采集和灾害预警的泥石流灾害监测预警系统。在系统中引入最优路径森林算法对泥石流灾害发生概率进行预测，测试结果表明，本系统采集的泥石流灾害影响因子数据准确可靠，能够对泥石流的发生概率做出准确预测，在泥石流灾害防治工作中采用监测预警系统是非常必要的。本研究为泥石流灾害防治工作提供了一种新的思路。
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| 关 键 词： | 泥石流灾害 监测预警 最优路径森林 |
| 收稿时间： | 2020-11-25 |
Research on application of monitoring and early warning technology in debris flow disaster |
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| XU Genqi,WEN Zongzhou,LI Limin,MA Jing,YAO Yi.Research on application of monitoring and early warning technology in debris flow disaster[J].Nonferrous Metals Science and Engineering,2021,12(2):97-104. |
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| Authors: | XU Genqi WEN Zongzhou LI Limin MA Jing YAO Yi |
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| Affiliation: | 1.Electric Engineering Department, Xi'an Traffic Enginering Institute, Xi' an 710300, China2.College of Electronic Information, Xi'an Polytechnic University, Xi'an 710048, China3.China Gezhouba Dam Group Third Engineering Co., Ltd., Xi'an 710065, China4.Xi'an University of Technology, Xi'an710048, China5.Urban Construction College, Xi'an Kedagaoxin University, Xi'an 710109, China |
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| Abstract: | China has a vast territory and a changeable geological environment,so disasters are widely distributed,which are invaded by geological disasters all the year round,which brings great harm to the lives and property safety of residents in disaster-prone areas.The prevention and control of debris flow disasters is very important.To research and develop a debris flow disaster warning system has become a top priority.Given that the current difficulties in obtaining debris flow disaster data,insufficient data volume and low early warning accuracy,this paper designed a debris flow disaster monitoring and early warning system for data collection of debris flow impact factors and disaster early warning which introduced the optimal path forest algorithm to predict the probability of debris flow disasters.The test results show that the data collected by this system on the impact factors of debris flow disasters are accurate and reliable,and can accurately predict the occurrence probability of debris flow.It is very necessary to adopt a monitoring and early warning system in the prevention and control of debris flow disasters.This study provides a new idea for the prevention and control of debris flow disasters. |
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| Keywords: | debris flow disaster monitoring and early warning optimum path forest |
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