Real-time monitoring and early warning technology for huge landslides

ZHU Wu; ZHANG Qin; ZHU Jian-jun; HUANG Guan-wen; WANG Yan-ping; ZHU Hong-hu; HU Wei; HU Jun

doi:10.11779/CJGE202207012

Volume 44 Issue 7

Turn off MathJax

Article Contents

Abstract

References

Chinese Journal of Geotechnical Engineering > 2022 > 44(7): 1341-1350. > DOI: 10.11779/CJGE202207012

ZHU Wu, ZHANG Qin, ZHU Jian-jun, HUANG Guan-wen, WANG Yan-ping, ZHU Hong-hu, HU Wei, HU Jun. Real-time monitoring and early warning technology for huge landslides[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(7): 1341-1350. DOI: 10.11779/CJGE202207012

Citation:

PDF (7034 KB)

Real-time monitoring and early warning technology for huge landslides

1.
College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China
2.
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
3.
School of Information Science and Technology, North China University of Technology, Beijing 100144, China
4.
School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
5.
College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China

More Information

Received Date: March 04, 2022
Available Online: September 22, 2022

Graphical Abstract

Abstract

Abstract

The huge landslide will bring severe losses of people's lives and properties due to its characteristics of large volume, strong concealment, strong abruptness and strong destructiveness. The real-time monitoring and early warning of the huge landslide is critical for disaster prevention and mitigation. Comparisons with the international technologies suggest that the current monitoring equipments for landslides are difficult to realize the tracing and real-time monitoring. In order to improve the level of disaster prevention and mitigation, the National Key Research and Development program "Real-time monitoring and early warning technology for huge landslides" was approved during the 13th Five-Year Plan period. The monitoring equipments for landslides with low-cost, large field of view, intelligence, high-precision have been produced through the researches on the dynamic tracking, real-time monitoring and early warning of landslides. A real-time monitoring and early warning system with multi-sensors is constructed. This system has successfully warned several landslide events, which leads to the zero casualties and zero-property losses. The program improves the level of disaster prevention and mitigation of landslides.
- huge landslide,
- dynamic trackng,
- real-time monitoring,
- early warning

FullText(HTML)

References (14)

References

[1]	ZHANG J M, ZHU W, CHENG Y Q, et al. Landslide detection in the Linzhi–ya'an section along the Sichuan–Tibet railway based on InSAR and hot spot analysis methods[J]. Remote Sensing, 2021, 13(18): 3566. doi: 10.3390/rs13183566
[2]	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. doi: 10.11947/j.AGCS.2017.20170453 ZHANG Qin, HUANG Guan-wen, YANG Cheng-sheng. Precision space observation technique for geological hazard monitoring and early warning[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1300–1307. (in Chinese) doi: 10.11947/j.AGCS.2017.20170453
[3]	WANG Y P, HONG W, ZHANG Y, et al. Ground-based differential interferometry SAR: a review[J]. IEEE Geoscience and Remote Sensing Magazine, 2020, 8(1): 43–70. doi: 10.1109/MGRS.2019.2963169
[4]	王家琛, 朱鸿鹄, 王静, 等. 基于主动加热光纤法的毛细阻滞入渗模型试验研究[J]. 岩土工程学报, 2021, 43(1): 147–155. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC202101022.htm WANG Jia-chen, ZHU Hong-hu, WANG Jing, et al. Laboratory model tests on capillary barrier infiltration using actively heated fiber optic method[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(1): 147–155. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC202101022.htm
[5]	GUAN L Y, HU J, PAN H B, et al. Fusion of public DEMs based on sparse representation and adaptive regularization variation model[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 169: 125–134. doi: 10.1016/j.isprsjprs.2020.09.005
[6]	LUO X J, WANG C C, LONG Y, et al. Analysis of the decadal kinematic characteristics of the daguangbao landslide using multiplatform time series InSAR observations after the Wenchuan earthquake[J]. Journal of Geophysical Research: Solid Earth, 2020, 125(12): e2019JB019325.
[7]	JI P F, LV X L, DOU F J, et al. Fusion of GPS and InSAR data to derive robust 3D deformation maps based on MRF L1-regularization[J]. Remote Sensing Letters, 2020, 11(2): 204–213. doi: 10.1080/2150704X.2019.1701722
[8]	ZENG W, XIAO J Q, LIN F Q, ZHU X. Design of Portable Mountain Flood Warning System Based on LoRa[J]. Canadian Journal of Electrical and Computer Engineering, 2012, 2: 141–147.
[9]	DU Y, HUANG G W, ZHANG Q, et al. A new asynchronous RTK method to mitigate base station observation outages[J]. Sensors, 2019, 19(15): 3376. doi: 10.3390/s19153376
[10]	WANG Y P, SONG Y, LIN Y, et al. Interferometric DEM-assisted high precision imaging method for ArcSAR[J]. Sensors (Basel, Switzerland), 2019, 19(13): 2921. doi: 10.3390/s19132921
[11]	WU W Q, HU J, LIU J H, et al. Derivation of high-quality three-dimensional surface deformation velocities through multi-source point cloud fusion: application to Kīlauea volcano[J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 95: 102270. doi: 10.1016/j.jag.2020.102270
[12]	PEI H F, ZHANG S Q. Molecular dynamics study on the zeta potential and shear plane of montmorillonite in NaCl solutions[J]. Applied Clay Science, 2021, 212: 106212. doi: 10.1016/j.clay.2021.106212
[13]	PEI H F, ZHANG F, ZHANG S Q. Development of a novel Hall element inclinometer for slope displacement monitoring[J]. Measurement, 2021, 181: 109636. doi: 10.1016/j.measurement.2021.109636
[14]	ZHANG L, CHENG G, WU J H, et al. Study on slope failure evolution under surcharge loading and toe cutting with BOTDA technology[J]. Optical Fiber Technology, 2021, 66: 102644. doi: 10.1016/j.yofte.2021.102644