Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area

Wu Mei; Wang Bin; Liu Huimei; Xu Weiheng; Wang Qiuhua; Liu Yun

doi:10.13961/j.cnki.stbctb.2025.02.015

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Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area

- Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area
- Bulletin of Soiland Water Conservation Vol. 45, Issue 2, Pages: 136-150(2025)
- 作者机构：
  
  1. 西南林业大学林学院,云南,昆明,650224
  2. 云南今禹生态工程咨询有限公司,云南,昆明,650233
  3. 西南林业大学大数据与智能工程学院,云南,昆明,650224
  4. 西南林业大学森林生态大数据国家林业和草原局重点实验室,云南,昆明,650224
  5. 西南林业大学土木工程学院,云南,昆明,650224
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.02.015
  CLC： U642.22;U417.5
- Online First：16 May 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
Wu Mei, Wang Bin, Liu Huimei, et al. Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 136-150.
DOI：

Wu Mei, Wang Bin, Liu Huimei, et al. Integrated space-air-ground intelligent monitoring for landslide risk managment at highway waste disposal sites in mountainous area[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 136-150. DOI： 10.13961/j.cnki.stbctb.2025.02.015.

摘要

[目的

]

从“天—空—地”3个层面上对山区公路弃渣场易滑坡风险区域进行实时监测与科学预警，以期为精准地监测弃渣场的安全状况提供关键数据和技术支撑，进而为弃渣场滑坡风险评估和管控策略的制定提供理论参考。[方法

]

选取宣曲(宣威—曲靖)高速公路(38

，41

和45

)弃渣场作为研究对象，构建基于现代监测技术与网络通信技术的实时动态弃渣场滑坡安全预警监测平台。利用卫星遥感技术、无人机摄影测量技术和地面传感器协同监测方法，对2015—2024年进行多源、多时相弃渣场边坡地物变化特征分析与地表形变演化监测，并结合累计变形和形变速率判据开展滑坡风险的预警判定。[结果

]

①对比不同时期的卫星影像得出扰动范围内的弃渣场植被已逐渐恢复生长，38

，41

和45

弃渣场整体植被覆盖面积相比2018年平均增长了50%。②经计算得出38

和41

弃渣场的实际扰动面积仅超出设计扰动面积的0.04和0.50 hm

，而45

弃渣场扰动范围保持不变。同时确定弃渣量、扰动面积、最大堆高、坡度和坡比均符合滑坡体稳定要求，表明各弃渣场边坡整体保持稳定状态，发生滑坡风险的可能性较低。③GNSS监测结果显示各监测点总平均变形速率V

＜7 mm/d，其中41

JCD3-高程方向累计变形达到最大值1 815.4 mm，处于累计变形判据注意级预警的临界区间内，滑坡体形变呈下降趋势，发生滑坡风险的可能性降低。[结论

]

利用预警判定方法监测出各弃渣场综合为Ⅰ级滑坡预警级别，当位移累计量达到预设阈值时即触发预警系统，验证了“天空地”一体化智慧监测结果的有效性。

Abstract

[Objective] Real-time monitoring and scientific early warning of landslide risk at waste disposal areas along mountainous highway from three perspectives-space

air

and ground were conducted to provide key data and technical support for accurately monitoring the safety status of slag abandonment sites. The results provide a theoretical reference for the formulation of landslide risk assessment and control strategies for waste disposal areas. [Methods] Xuanwe-Qujing Expressway waste disposal areas (38#

41#

and 45#) were selected as the research objects

and a real-time dynamic waste disposal area landslide safety early warning and monitoring platform was constructed using modern monitoring and network communication technologies. By integrating satellite remote sensing technology and unmanned aerial photogrammetry with ground sensors

the pattern of slope feature variation and surface deformation in the waste disposal areas from 2015 to 2024 at multi-spatial and multi-temporal scales was analyzed. In addition

the early warning of landslide risk was determined by utilizing evidence of cumulative deformation and deformation rate. [Results] ① Vegetation was gradually reestablished within the disturbed areas

and the overall vegetation coverage of the waste disposal areas in 38#

41#

and 45# increased by an average of 50% from 2018 to 2024. ② The actual disturbed areas of 38# and 41# were only 0.04 beyond the designed disturbed area

whereas the disturbed range of 45# remained unchanged. Furthermore

the amount of slag and disturbed area

maximum pile height

slope

and slope ratio were in line with the stability requirements for landslides

indicating that the overall slopes of the waste disposal areas maintained a stable state

and the possibility of landslide risk was low. ③ The total average deformation rate of each monitoring point showed that cumulative deformation in the direction of 41#JCD3-elevation reached a maximum value of 1 815.4 mm

which is within the critical interval of cumulative deformation with respect to warning level

and the landslide deformation exhibited a decreasing trend. Thus

the likelihood of landslide risk is reduced. [Conclusion] Based on the early warning judgment method

the landslide warning level of different waste disposal areas was level Ⅰ (the lowest risk level)

and when the cumulative amount of displacement reached the preset threshold that triggered the early warning system

the intelligent space-air-ground monitoring performance was effectively verified.

关键词

Keywords

references

叶咸,陈华斌,吴铸,等.山区高速公路路堑高边坡工程施工安全总体风险评估技术探讨[J].公路,2018,63(3):42-47. Ye Xian, Chen Huabin, Wu Zhu, et al. Study of the overall risk assessment method for the construction safety of high cut slope of highway in mountainous area [J]. Highway, 2018,63(3):42-47.

焦莹,严俊,甘永波,等.灌区弃渣场设计及稳定性分析研究: 以潞江灌区工程为例[J].水利水电技术(中英文),2023,54(S2):397-403. Jiao Ying, Yan Jun, Gan Yongbo, et al. Design and stability analysis of slag dump in irrigation district: Taking Lujiang irrigation district project as an example [J]. Water Resources and Hydropower Engineering, 2023,54(S2):397-403.

唐彦东,张佳丽,于汐,等.灾害间接经济损失评估研究综述[J].自然灾害学报,2023,32(6):1-11. Tang Yandong, Zhang Jiali, Yu Xi, et al. Review on disaster indirect economic loss assessment [J]. Journal of Natural Disasters, 2023,32(6):1-11.

叶咸,陈文,张新民,等.山区高速公路弃渣场工程安全稳定监测方法[J].中外公路,2021,41(6):20-26. Ye Xian, Chen Wen, Zhang Xinmin, et al. Preliminary study on safety and stability monitoring method for waste slag site project of mountainous expressway [J]. Journal of China & Foreign Highway, 2021,41(6):20-26.

Jiang Wenliang, Jiao Qisong, Luo Yi, et al. Risk investigation of landslide hazard and disaster emergency based on multi-platforms remote sensing techniques [C]// IGARSS 2020—2020 IEEE International Geoscience and Remote Sensing Symposium. September 26-October 2, 2020, Waikoloa,HI,USA.IEEE, 2020:5211-5214.

卢鸿飞,高迪驹,张松勇,等.一种基于磁传感器定位技术的滑坡监测方法[J].传感技术学报,2022,35(11):1579-1584. Lu Hongfei, Gao Diju, Zhang Songyong, et al. A landslide monitoring method based on magnetic sensor positioning technology [J]. Chinese Journal of Sensors and Actuators, 2022,35(11):1579-1584.

王豪,何朝阳,巨能攀,等.多设备多参数联动的滑坡预警方法[J].成都理工大学学报:自然科学版:1-16. Wang Hao, He Chaoyang, Ju Nengpan, et al. A multi-device and multi-parameter linked landslide early warning methodology [J]. Journal of Chengdu University of Science and Technology(Natural Science Edition):1-16.

许强,朱星,李为乐,等.“天—空—地” 协同滑坡监测技术进展[J].测绘学报,2022,51(7):1416-1436. Xu Qiang, Zhu Xing, Li Weile, et al. Technical progress of space-air-ground collaborative monitoring of landslide [J]. Acta Geodaetica et Cartographica Sinica, 2022,51(7):1416-1436.

Li Shanshan, Wang Ziteng, Stutz H H. State-of-the-art review on plant-based solutions for soil improvement [J]. Biogeotechnics, 2023,1(3):100035.

Wang Hua, Guo Qing, Ge Xiaoqing, et al. A spatio-temporal monitoring method based on multi-source remote sensing data applied to the case of the temi landslide [J]. Land, 2022,11(8):1367.

Guo Xinyi, Guo Qing, Feng Zhongkui. Relationship between landslide creep and vegetation anomalies in remote sensing images [J]. National Remote Sensing Bulletin, 2020,24(6):776-786.

朱淳,龚逸非,宋盛渊,等.滑坡多源监测技术及预警模型研究进展与展望[J].西南交通大学学报:1-19. Zhu Chun, Gong Yifei, Song Shengyuan, et al. Progress and prospects of landslide multi-source monitoring technology and early warning modelling research [J]. Journal of Southwest Jiaotong Universi: 1-19.

廉旭刚,韩雨,刘晓宇,等.无人机低空遥感矿山地质灾害监测研究进展及发展趋势[J].金属矿山,2023(1):17-29. Lian Xugang, Han Yu, Liu Xiaoyu, et al. Study progress and development trend of mine geological disaster monitoring by UAV low-altitude remote sensing [J]. Metal Mine, 2023(1):17-29.

毛正君,石硕杰,王贵荣,等.基于无人机遥感的区域黄土滑坡识别及发育特征分析[J].灾害学,2023,38(1):63-71. Mao Zhengjun, Shi Shuojie, Wang Guirong, et al. Identification and development characteristics analysis of loess landslide based on UAV remote sensing [J]. Journal of Catastrophology, 2023,38(1):63-71.

梁石,刘万青,王宁.消费型无人机构建工程堆土地形模型的方法及精度评价[J].水土保持通报,2019,39(5):128-134. Liang Shi, Liu Wanqing, Wang Ning. Method and accuracy evaluation of constructing an engineering pile land model using a consumer unmanned aerial vehicle [J]. Bulletin of Soil and Water Conservation, 2019,39(5):128-134.

王志超,赵健赟,温兰冲,等.基于“天—空—地” 协同观测的西宁市南川东路滑坡变形特征与稳定性分析[J].水土保持通报,2024,44(2):223-235. Wang Zhichao, Zhao Jianyun, Wen Lanchong, et al. Deformation characteristics and stability analysis of Nanchuan east road landslide in Xining City based on space-air-ground observation technology [J]. Bulletin of Soil and Water Conservation, 2024,44(2):223-235.

Adamcová D, Bartoň S, Osinski P, et al. Analytical modelling of MSW landfill surface displacement based on GNSS monitoring [J]. Sensors, 2020,20(21):5998.

黄观文,景策,李东旭,等.甘肃积石山Ms 6.2级地震对滑坡易发区的变形影响分析[J].武汉大学学报(信息科学版),2025,50(2):233-235. Huang Guanwen, Jing Ce, Li Dongxu, et al. Deformation analysis of Jishishan Ms 6.2 Earthquake on the landslide hazard areas [J]. Journal of Wuhan University (Information Science), 2025,50(2):233-235.

白正伟,张勤,黄观文,等.“轻终端+行业云” 的实时北斗滑坡监测技术[J].测绘学报,2019,48(11):1424-1429. Bai Zhengwei, Zhang Qin, Huang Guanwen, et al. Real-time Beidou landslide monitoring technology of “light terminal plus industry cloud” [J]. Acta Geodaetica et Cartographica Sinica, 2019,48(11):1424-1429.

韩军强,黄观武,黄观文,等.多种监测手段在滑坡变形中的组合应用[J].测绘科学,2019,44(11):116-122. Han Junqiang, Huang Guanwu, Huang Guanwen, et al. Multi-monitoring methods joint application in landslide deformation monitoring [J]. Science of Surveying and Mapping, 2019,44(11):116-122.

陈晓安,谢颂华,张磊,等.生产建设项目水土保持综合评价[J].水土保持通报,2012,32(5):286-290. Chen Xiaoan, Xie Songhua, Zhang Lei, et al. Comprehensive evaluation of soil and water conservation in development and construction projects [J]. Bulletin of Soil and Water Conservation, 2012,32(5):286-290.

刘浩,张家铭,付金丹,等.弃渣场滑坡影响因素敏感性计算分析[J].安全与环境工程,2012,19(6):55-58. Liu Hao, Zhang Jiaming, Fu Jindan, et al. Sensitivity analysis of influencing factors of discarded soil field landslide [J]. Safety and Environmental Engineering, 2012,19(6):55-58.

汪海滨,李小春,米子军,等.排土场空间效应及其稳定性评价方法研究[J].岩石力学与工程学报,2011,30(10):2103-2111. Wang Haibin, Li Xiaochun, Mi Zijun, et al. Researches on space effect of waste dumps and its stability evaluation method [J]. Chinese Journal of Rock Mechanics and Engineering, 2011,30(10):2103-2111.

杨正荣,喜文飞,史正涛,等.复杂植被山区滑坡蠕变与植被覆盖度关系研究[J].测绘科学,2023,48(1):157-165. Yang Zhengrong, Xi Wenfei, Shi Zhengtao, et al. Study on the relationship between landslide creep and vegetation cover in mountainous areas with complex vegetation [J]. Science of Surveying and Mapping, 2023,48(1):157-165.

沈楠.基于GNSS与加速度计融合的建筑物形变监测关键技术研究[J].测绘学报,2023,52(8):1414. Shen Nan. Research on key technologies of building deformation monitoring based on the fusion of GNSS and accelerometer [J]. Acta Geodaetica et Cartographica Sinica, 2023,52(8):1414.

黄观文,陈孜,徐永福.膨胀土边坡GNSS实时监测技术[J].测绘学报,2023,52(11):1873-1882. Huang Guanwen, Chen Zi, Xu Yongfu. GNSS real-time monitoring technology of expansive soil slope [J]. Acta Geodaetica et Cartographica Sinica, 2023,52(11):1873-1882.

杨芳,杨晓龙,仇新迪,等.基于双判据联合判别的滑坡监测预警研究[J].人民长江,2021,52(5):95-100. Yang Fang, Yang Xiaolong, Qiu Xindi, et al. Study on landslide monitoring and early warning based on joint discrimination of dual criteria [J]. Yangtze River, 2021,52(5):95-100.

李晓斌.基于极限位移准则和变形预测的滑坡变形潜势分析[J].大地测量与地球动力学,2022,42(6):588-593. Li Xiaobin. Analysis of landslide deformation potential based on limit displacement criterion and deformation prediction [J]. Journal of Geodesy and Geodynamics, 2022,42(6):588-593.

苑谊,马霄汉,李庆岳,等.由树坪滑坡自动监测曲线分析滑坡诱因与预警判据[J].水文地质工程地质,2015,42(5):115-122. Yuan Yi, Ma Xiaohan, Li Qingyue, et al. A study of landslide inducing factors and early warning criterion by analyzing the automatic monitoring curves of the Shuping landslide [J]. Hydrogeology & Engineering Geology, 2015,42(5):115-122.

陈全明,黄炜敏,李姣.基于改进切线角和变形速率的滑坡预警:以湖南省石门县雷家山滑坡为例[J].中国地质灾害与防治学报,2024,35(5):133-140. Chen Quanming, Huang Weimin, Li Jiao. Landslide early warning based on improved tangent angle and deformation rate: A case study of Leijiashan landslide in Shimen County, Hunan Province [J]. Chinese Journal of Geological Hazards and Prevention，2024，35(5):133-140.

刘建伟,史东梅,马晓刚,等.弃渣场边坡稳定性特征分析[J].水土保持学报,2007,21(5):192-195. Liu Jianwei, Shi Dongmei, Ma Xiaogang, et al. Stability characteristics analysis on sideslops of excavation waste dump [J]. Journal of Soil and Water Conservation, 2007,21(5):192-195.

Zhuge Xia, Motagh M, Li Tao, et al. The June 2020 Aniangzhai landslide in Sichuan Province, Southwest China: Slope instability analysis from radar and optical satellite remote sensing data [J]. Landslides, 2022,19(2):313-329.

Guo Qing, Tong Lianzi, Wang Hua. A monitoring method based on vegetation abnormal information applied to the case of Jizong shed-tunnel landslide [J]. Remote Sensing, 2022,14(22):5640.

张永强,毛彦龙,白子龙.降雨对低速滑坡形成机制的研究[J].甘肃科学学报,2019,31(3):85-91. Zhang Yongqiang, Mao Yanlong, Bai Zilong. Research on formation mechanism of low-speed landslide caused by rainfall [J]. Journal of Gansu Sciences, 2019,31(3):85-91.

廖军,邓涛,周越良,等.降雨作用下第四系堆积体路堤稳定性[J].科学技术与工程,2021,21(23):10090-10097. Liao Jun, Deng Tao, Zhou Yueliang, et al. Stability of quaternary accumulation embankment under rainfall [J]. Science Technology and Engineering, 2021,21(23):10090-10097.

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