青海省地质灾害监测预警信息化平台建设与实现

隋嘉; 孙皓; 张丽华; 辛倩男; 孙永旺; 王栋

doi:10.16031/j.cnki.issn.1003-8035.202202007

青海省地质灾害监测预警信息化平台建设与实现

doi: 10.16031/j.cnki.issn.1003-8035.202202007

1.
青海省地质环境监测总站（青海省地质灾害防治技术指导中心），青海西宁　810000
2.
中国科学院西北生态环境资源研究院冰冻圈科学国家重点实验室，甘肃兰州　730000

基金项目: 青海省地质环境信息化综合平台（2021-ZJ-T08）；天文大科学装置冷湖台址监测与先导科学研究（2019-ZJ-A10）

详细信息

作者简介:
隋嘉：隋　嘉（1981-），男，青海湟源人，硕士，高级工程师，主要从事地质灾害信息化等研究。E-mail：jason_sui@163.com

中图分类号: P694;P208
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出版历程
- 收稿日期: 2022-02-10
- 录用日期: 2022-05-30
- 修回日期: 2022-03-17
- 网络出版日期: 2022-12-27
- 刊出日期: 2023-04-25

Construction and realization of information platform for geological disaster monitoring and early warning in Qinghai Province

1.
Qinghai Provincial General Geological and Environmental Monitoring Station （Qinghai Provincial Geological Disaster Prevention and Control Technical Guidance Center）, Xining, Qinghai　810000, China
2.
State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu　730000, China

摘要

摘要: 在全球变化的影响下地质灾害发生的频率明显上升，建设青海省地质灾害监测预警信息化平台对于保证地区生命财产安全十分重要。本文从青海省地质灾害监测预警信息化平台的设备布设、系统建设、平台功能、运行现状阐述其建设与实现过程。目前青海省地质灾害监测预警信息化平台已经可以达到地质灾害不同来源，不同批次的灾害点信息统一管理动态更新，做到数据集成化、成果可视化、信息综合化、系统一体化。青海省地质灾害监测预警信息化平台包括地质灾害调查评价系统、地质灾害监测预警系统、地质灾害气象预警系统等10个模块。现阶段所有的普适性监测数据可以同步发送到国家级地质灾害监测数据平台，能够高效支撑地灾预警工作。监测预警信息化平台能够对实时采集的监测数据自动进行分析，支持多种预警模型进行判别；当监测数据发生变化触及预设判别模型时，能够自动发送地灾预警信息。通过系统试运行，已经有了成果监测预警的案例，数据可靠能够满足监测预警的需求。
- 地质灾害 /
- 信息化 /
- 监测预警 /
- 系统建设 /
- 青海省
Abstract: Under the influence of global changes, the frequency of geological disasters in Qinghai Province, which is located in the northeastern part of the Qinghai-Tibet Plateau, has increased significantly. It is important to build a geological disaster monitoring and early warning information platform in Qinghai Province to reduce the safety of life and property in the area. In this paper, the process of construction and realization of the information platform for geological disaster monitoring and early warning in Qinghai Province is described in terms of equipment deployment, system construction, platform function and operation status. At present, the information platform of geological disaster monitoring and early warning in Qinghai Province has been able to achieve the unified management and dynamic update of disaster information of different sources and batches of geological disasters, and achieve data integration, result visualization, information synthesis and system integration. The information platform of geological disaster monitoring and early warning in Qinghai Province includes 10 modules such as geological disaster investigation and evaluation system, geological disaster monitoring and early warning system, and geological disaster meteorological early warning system. At this stage, all universal monitoring data can be sent to the national geological disaster monitoring data platform synchronously, which can support the work of geological disaster early warning efficiently. The monitoring and early warning information platform can automatically analyze the monitoring data collected in real time and support a variety of early warning models to discriminate; when the monitoring data changes and touches the preset discriminating models, it can automatically send geohazard early warning information. Through the trial run of the system, there have been cases of results monitoring and early warning, and the data is reliable enough to meet the needs of monitoring and early warning.
- geological disaster /
- informationization /
- monitoring and early warning /
- system construction /
- Qinghai Province

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图 1 工作区隐患点分布

Figure 1. Distribution of hidden danger points in work area

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图 2 系统架构

Figure 2. System architecture

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图 3 数据中心建设

Figure 3. Data center construction

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图 4 系统组成

Figure 4. System composition

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图 5 地质灾害监测预警系统

Figure 5. Geological disaster monitoring and early warning system

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图 6 气象风险预警系统

Figure 6. Meteorological risk early warning system

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图 7 气象风险预警系统

Figure 7. Meteorological risk early warning system

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图 8 囊谦县吉曲乡白玛俄林寺

Figure 8. Baima elin temple, Jiqu Township, Nangqian County

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图 9 2021年7—8月实时监测曲线

Figure 9. Real time monitoring curve from July to August in 2021

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表 1 青海省地质灾害监测预警总体部署表

Table 1. Qinghai Province geological disaster monitoring and early warning general deployment table

市州	监测预警点	分布特征
西宁市	145	共威胁人员8221人。其中西宁市区5处，湟中区85处，湟源县8处，大通县47处。
海东市	202	共威胁人员24594人。其中乐都区64处，平安区4处，民和县42处，互助县44处，化隆县32处，循化县16处。
黄南州	19	共威胁人员1902人。其中同仁市15处，尖扎县4处。
海南州	17	共威胁人员2432人，其中共和县1处，同德县3处，贵南县2处，贵德县9处，兴海县2处。
海北州	3	共威胁人员188人，门源县3处。
果洛州	10	共威胁人员834人。其中玛沁县7处，班玛县2处、达日县1处。
玉树州	26	共威胁人员2770人。其中囊谦县20处，玉树市5处，称多县1处。
合计	422	其中滑坡247处，不稳定斜坡131处，崩塌4处，泥石流47处

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表 2 灾害类型与测项选择

Table 2. Types of hazards and selection of measurement items

灾害类型		监测设备							声光报警	备注
测项		GNSS	裂缝	倾角	加速度	含水率	雨量	泥位	声光报警	备注
滑坡（潜滑）	岩质	●	●	⊙	⊙		●		按需布置	具体安装位置及数量，根据灾害体规模及特征综合确定
滑坡（潜滑）	土质	●	●	⊙	⊙	⊙	●
崩塌（潜崩）	岩质	⊙	●	●	●		●
崩塌（潜崩）	土质	⊙	●	⊙	⊙		●
泥石流	沟谷型					⊙	●	●
泥石流	坡面型			⊙	⊙	⊙	●	⊙
注：●为宜测项，⊙为选测项。来自《地质灾害专群结合监测预警技术指南（试行）》

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参考文献(23)

[1]	REINMAN S L. Intergovernmental panel on climate change (IPCC)[J]. Reference Reviews,2012,26(2):41 − 42. doi: 10.1108/09504121211205250
[2]	赵东亮,兰措卓玛,侯光良,等. 青海省河湟谷地地质灾害易发性评价[J]. 地质力学学报,2021,27(1):83 − 95. [ZHAO Dongliang,LAN Cuozhuoma,HOU Guangliang,et al. Assessment of geological disaster susceptibility in the Hehuang valley of Qinghai Province[J]. Journal of Geomechanics,2021,27(1):83 − 95. (in Chinese with English abstract)
[3]	高杨,李滨,冯振,等. 全球气候变化与地质灾害响应分析[J]. 地质力学学报,2017,23(1):65 − 77. [GAO Yang,LI Bin,FENG Zhen,et al. Global climate change and geological disaster response analysis[J]. Journal of Geomechanics,2017,23(1):65 − 77. (in Chinese with English abstract)
[4]	魏赛拉加,严慧珺,张俊才,等. 青海省地质灾害防治资金投入与成效分析[J]. 中国地质灾害与防治学报,2020,31(5):112 − 116. [WEI Sailajia,YAN Huijun,ZHANG Juncai,et al. Analysis of funding used for geological disaster prevention in Qinghai Province and its effects[J]. The Chinese Journal of Geological Hazard and Control,2020,31(5):112 − 116. (in Chinese with English abstract)
[5]	殷跃平. 中国地质灾害减灾战略初步研究[J]. 中国地质灾害与防治学报,2004,15(2):1 − 8. [YIN Yueping. Initial study on the hazard-relief strategy of geological hazard in China[J]. The Chinese Journal of Geological Hazard and Control,2004,15(2):1 − 8. (in Chinese with English abstract)
[6]	张志军,庄永成. 基于GF-1数据的地质灾害遥感调查—以青海省大通县为例[J]. 科学技术与工程,2017,17(18):9 − 17. [ZHANG Zhijun,ZHUANG Yongcheng. The survey of geological hazards based on GF-1 data:Taking example for Datong County,Qinghai Province[J]. Science Technology and Engineering,2017,17(18):9 − 17. (in Chinese with English abstract)
[7]	刘传正,李铁锋,温铭生,等. 三峡库区地质灾害空间评价预警研究[J]. 水文地质工程地质,2004,31(4):9 − 19. [LIU Chuanzheng,LI Tiefeng,WEN Mingsheng,et al. Assessment and early warning on geo-hazards in the Three Gorges Reservoir region of Changjiang River[J]. Hydrogeology and Engineering Geology,2004,31(4):9 − 19. (in Chinese with English abstract)
[8]	李潇,许飞青,于喆,等. 北京市突发地质灾害监测预警系统设计与实现[J]. 城市地质,2021,16(4):381 − 390. [LI Xiao,XU Feiqing,YU Zhe,et al. Design and implementation of emergency geological hazards monitoring and early warning system in Beijing[J]. Urban Geology,2021,16(4):381 − 390. (in Chinese with English abstract)
[9]	单玉香,孙国曦,陆美兰,等. 江苏省地质灾害气象预警系统的设计与实现[J]. 江苏地质,2007,31(1):41 − 44. [SHAN Yuxiang,SUN Guoxi,LU Meilan,et al. Design and realization of meteorological early-warning system for geological hazards in Jiangsu Province[J]. Jiangsu Geology,2007,31(1):41 − 44. (in Chinese with English abstract)
[10]	王洪辉,李鄢,庹先国,等. 地质灾害物联网监测系统研制及贵州实践[J]. 中国测试,2017,43(9):94 − 99. [WANG Honghui,LI Yan,TUO Xianguo,et al. Development of geological hazards monitoring system based on IoT and application in Guizhou Province[J]. China Measurement & Test,2017,43(9):94 − 99. (in Chinese with English abstract)
[11]	侯圣山,李昂,陈亮,等. 基于普适型仪器的滑坡监测预警初探—以甘肃兰州岷县三处滑坡为例[J]. 中国地质灾害与防治学报,2020,31(6):47 − 53. [HOU Shengshan,LI Ang,CHEN Liang,et al. Application of universal geo-hazard monitoring instruments in landslides and early warning of three landslides in Gansu Province:A case study in Minxian County and Lanzhou City of Gansu Province[J]. The Chinese Journal of Geological Hazard and Control,2020,31(6):47 − 53. (in Chinese with English abstract)
[12]	许强,董秀军,李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报(信息科学版),2019,44(7):957 − 966. [XU Qiang,DONG Xiujun,LI Weile. Integrated space-air-ground early detection,monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University,2019,44(7):957 − 966. (in Chinese with English abstract)
[13]	赵久彬,刘元雪,宋林波,等. 大数据关键技术在滑坡监测预警系统中的应用[J]. 重庆理工大学学报(自然科学),2018,32(2):182 − 190. [ZHAO Jiubin,LIU Yuanxue,SONG Linbo,et al. Application of big data processing and monitoring technologies in landslide monitoring and waring system[J]. Journal of Chongqing University of Technology (Natural Science),2018,32(2):182 − 190. (in Chinese with English abstract)
[14]	苏白燕,许强,黄健,等. 基于动态数据驱动的地质灾害监测预警系统设计与实现[J]. 成都理工大学学报(自然科学版),2018,45(5):615 − 625. [SU Baiyan,XU Qiang,HUANG Jian,et al. Design and implementation of monitoring and warning system for geological disasters based on dynamic data-driven technology[J]. Journal of Chengdu University of Technology (Science & Technology Edition),2018,45(5):615 − 625. (in Chinese with English abstract)
[15]	田廷山. 中国地质环境监测院. 全国地质灾害防治规划研究[M]. 北京: 地质出版社, 2008 Chinese Institute of Geoenvironment Monitoring. Research on national plan for prevention and control of China [M]. Beijing: Geological Publishing House, 2008. （in Chinese）
[16]	张勤,黄观文,杨成生. 地质灾害监测预警中的精密空间对地观测技术[J]. 测绘学报,2017,46(10):1300 − 1307. [ZHANG Qin,HUANG Guanwen,YANG Chengsheng. Precision space observation technique for geological hazard monitoring and early warning[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1300 − 1307. (in Chinese with English abstract)
[17]	邓志德,邱锦安,童纪伟,等. 基于WebGIS的广东省突发地质灾害应急管理平台的设计与实现[J]. 地质灾害与环境保护,2020,31(4):31 − 37. [DENG Zhide,QIU Jin’an,DONG Jiwei,et al. Design and implementation of the geological disaster emergency management platform of Guangdong Province based on webgis[J]. Journal of Geological Hazards and Environment Preservation,2020,31(4):31 − 37. (in Chinese with English abstract)
[18]	许强,彭大雷,何朝阳,等. 突发型黄土滑坡监测预警理论方法研究—以甘肃黑方台为例[J]. 工程地质学报,2020,28(1):111 − 121. [XU Qiang,PENG Dalei,HE Chaoyang,et al. Theory and method of monitoring and early warning for sudden loess landslide:A case study at Heifangtai Terrace[J]. Journal of Engineering Geology,2020,28(1):111 − 121. (in Chinese with English abstract)
[19]	杨寅,包红军,徐成鹏. 地质灾害气象风险预警实时检验客观工具关键技术及应用[J]. 气象科技,2021,49(2):291 − 296. [YANG Yin,BAO Hongjun,XU Chengpeng. Development of a real-time verification objective tool for meteorological risk warning to geological hazards[J]. Meteorological Science and Technology,2021,49(2):291 − 296. (in Chinese with English abstract)
[20]	孙超,王昕洲,叶莹莹,等. 河北省地下水资源承载能力评价及预警方法研究[J]. 水文地质工程地质,2022,49(6):55 − 63. [SUN Chao, WANG Xinzhou, YE Yingying, et al. Research on evaluation and early warning of groundwater resources carrying capacity in Hebei Province[J]. Hydrogeology & Engineering Geology,2022,49(6):55 − 63. (in Chinese with English abstract)
[21]	方然可,刘艳辉,苏永超,等. 基于逻辑回归的四川青川县区域滑坡灾害预警模型[J]. 水文地质工程地质,2021,48(1):181 − 187. [FANG Ranke,LIU Yanhui,SU Yongchao,et al. A early warning model of regional landslide in Qingchuan County, Sichuan Province based on logistic regression[J]. Hydrogeology & Engineering Geology,2021,48(1):181 − 187. (in Chinese with English abstract)
[22]	张像源. 基于GIS和GDAL的地质灾害汛期风险预警产品信息自动化生成算法的构建与实现[J]. 中国地质灾害与防治学报,2022,33(5):76 − 82. [ZHANG Xiangyuan. Construction and implementation of an automatic algorithm for generating information of geological disaster floor risk warning products based on GIS and GDAL[J]. The Chinese Journal of Geological Hazard and Control,2022,33(5):76 − 82. (in Chinese with English abstract)
[23]	王雪冬,张超彪,王翠,等. 基于Logistic回归与随机森林的和龙市地质灾害易发性评价[J]. 吉林大学学报(地球科学版),2022,52(6):1957 − 1970. [WANG Xuedong,ZHANG Chaobiao,WANG Cui,et al. Geological disaster susceptibility in Helong city based on logistic regression and random forest[J]. Journal of Jilin University (Earth Science Edition),2022,52(6):1957 − 1970. (in Chinese with English abstract)