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2024 Vol.34, Issue 2 Preview Page

Research Article

LandScient_EWS: Real-Time Monitoring of Rainfall Thresholds for Landslide Early Warning - A Case Study in the Colombian Andes
Roberto J. Marin1
,
Julián Camilo Marín-Sánchez2*
1Chief Executive Officer, Landslide Scientific Assessment (LandScient)
2Chief Technology Officer, Landslide Scientific Assessment (LandScient)
*Corresponding Author
30 June 2024. pp. 173-191
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Abstract

Landslides pose significant threats to many countries globally, yet the development and implementation of effective landslide early warning systems (LEWS) remain challenging due to multifaceted complexities spanning scientific, technological, and political domains. Addressing these challenges demands a holistic approach. Technologically, integrating thresholds, such as rainfall thresholds, with real-time data within accessible, open-source software stands as a promising solution for LEWS. This article introduces LandScient_EWS, a PHP-based program tailored to address this need. The software facilitates the comparison of real-time measured data, such as rainfall, with predefined landslide thresholds, enabling precise calculations and graphical representation of real-time landslide advisory levels across diverse spatial scales, including regional, basin, and hillslope levels. To illustrate its efficacy, the program was applied to a case study in Medellín, Colombia, where a rainfall event on August 26, 2008, triggered a shallow landslide. Through pre-defined rainfall intensity and duration thresholds, the software simulated advisory levels during the recorded rainfall event, utilizing data from a rain gauge positioned within a small watershed and a single grid cell (representing a hillslope) within that watershed. By identifying critical conditions that may lead to landslides in real-time scenarios, LandScient_EWS offers a new paradigm for assessing and responding to landslide hazards, thereby improving the efficiency and effectiveness of LEWS. The findings underscore the software’s potential to streamline the integration of rainfall thresholds into both existing and future landslide early warning systems.

Keywords
landslide early warning system
scientific integration
open-source software
rainfall thresholds
advisory levels
real-time data
References
1

Abraham, M.T., Vaddapally, M., Satyam, N., Pradhan, B., 2023, Spatio-temporal landslide forecasting using process-based and data-driven approaches: A case study from Western Ghats, India, CATENA, 223, 106948.

10.1016/j.catena.2023.106948
2

AMVA-UNAL (Área Metropolitana del Valle de Aburrá - Universidad Nacional de Colombia), 2018, Estudios básicos de amenaza por movimientos en masa, inundaciones y avenidas torrenciales en los municipios de Caldas, La Estrella, Envigado, Itagüí, Bello, Copacabana y Barbosa, para la incorporación de la gestión del riesgo en la planificación territorial.

3

Aristizábal, E., Sánchez, O., 2020, Spatial and temporal patterns and the socioeconomic impacts of landslides in the tropical and mountainous Colombian Andes, Disasters, 44(3), 596-618.

10.1111/disa.1239131310345
4

Baum, R.L., Fischer, S.J., Vigil, J.C., 2018, THRESH-Software for tracking rainfall thresholds for landslide and debris-flow occurrence, user manual, U.S. Geological Survey Techniques and Methods, Book 14, Chapter A2, 33 p.

10.3133/tm14A2
5

Baum, R.L., Savage, W.Z., Godt, J.W., 2008, TRIGRS-A Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, version 2.0, U.S. Geological Survey Open-File Report, 2008-1159, 75p.

10.3133/ofr20081159
6

Bordoni, M., Vivaldi, V., Bonì, R., Spanò, S., Tararbra, M., Lanteri, L., Parnigoni, M., Grossi, A., Figini, S., Meisina, C., 2023, A methodology for the analysis of continuous time-series of automatic inclinometers for slow-moving landslides monitoring in Piemonte region, northern Italy, Natural Hazards, 115, 1115-1142.

10.1007/s11069-022-05586-3
7

Bortolozo, C.A., Pampuch, L.A., De Andrade, M.R.M., Metodiev, D., Carvalho, A.R., Mendes, T.S.G., Pryer, T., Egas, H.M., Mendes, R.M., Sousa, I.A., Power, J., 2024, ARHCS (Automatic Rainfall Half-Life Cluster System): A landslides early warning system (LEWS) using cluster analysis and automatic threshold definition, International Journal of Geosciences, 15(1), 54-69.

10.4236/ijg.2024.151005
8

Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, A., Intrieri, E., Raspini, F., Rossi, G., Tanteri, L., Lu, P., 2017, Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning, Geoenvironmental Disasters, 4, 9.

10.1186/s40677-017-0073-1
9

Casagli, N., Intrieri, E., Tofani, V., Gigli, G., Raspini, F., 2023, Landslide detection, monitoring and prediction with remote-sensing techniques, Nature Reviews Earth & Environment, 4, 51-64.

10.1038/s43017-022-00373-x
10

Chang, J.M., Chen, H., Jou, B.J.D., Tsou, N.C., Lin, G.W., 2017, Characteristics of rainfall intensity, duration, and kinetic energy for landslide triggering in Taiwan, Engineering Geology, 231, 81-87.

10.1016/j.enggeo.2017.10.006
11

Chang, M., Dou, X., Hales, T.C., Yu, B., 2021, Patterns of rainfall-threshold for debris-flow occurrence in the Wenchuan seismic region, Southwest China, Bulletin of Engineering Geology and the Environment, 80, 2117-2130.

10.1007/s10064-020-02080-7
12

Dewitte, O., Dille, A., Depicker, A., Kubwimana, D., Maki Mateso, J.C., Mugaruka Bibentyo, T., Uwihirwe, J., Monsieurs, E., 2021, Constraining landslide timing in a data-scarce context: From recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region, Landslides, 18, 161-177.

10.1007/s10346-020-01452-0
13

Evans, S.G., DeGraff, J.V., 2002, Catastrophic landslides: Effects, occurrence, and mechanisms, Geological Society of America, Retrieved from https://books.google.com.co/books?id=OCWRomvHGVAC.

14

Froude, M.J., Petley, D.N., 2018, Global fatal landslide occurrence from 2004 to 2016, Natural Hazards and Earth System Sciences, 18(8), 2161-2181.

10.5194/nhess-18-2161-2018
15

Gamperl, M., Singer, J., Garcia-Londoño, C., Seiler, L., Castañeda, J., Cerón-Hernandez, D., Thuro, K., 2023, An integrated, replicable landslide early warning system for informal settlements - Case study in Medellín, Colombia, Natural Hazards and Earth System Sciences Discussions [preprint], https://doi.org/10.5194/nhess-2023-20.

10.5194/nhess-2023-20
16

Gariano, S.L., Melillo, M., Brunetti, M.T., Kumar, S., Mathiyalagan, R., Peruccacci, S., 2023, Challenges in defining frequentist rainfall thresholds to be implemented in a landslide early warning system in India, In: Sassa, K., Konagai, K., Tiwari, B., Arbanas, Ž., Sassa, S. (Eds.), Progress in Landslide Research and Technology, Volume 1 Issue 1, Springer, Cham, 409-416.

10.1007/978-3-031-16898-7_27
17

Gómez, D., Aristizábal, E., García, E.F., Marín, D., Valencia, S., Vásquez, M., 2023, Landslides forecasting using satellite rainfall estimations and machine learning in the Colombian Andean region, Journal of South American Earth Sciences, 125, 104293.

10.1016/j.jsames.2023.104293
18

Guzzetti, F., Gariano, S.L., Peruccacci, S., Brunetti, M.T., Marchesini, I., Rossi, M., Melillo, M., 2020, Geographical landslide early warning systems, Earth-Science Reviews, 200, 102973.

10.1016/j.earscirev.2019.102973
19

Guzzetti, F., Peruccacci, S., Rossi, M., Stark, C.P., 2007, Rainfall thresholds for the initiation of landslides in central and southern Europe, Meteorology and Atmospheric Physics, 98, 239-267.

10.1007/s00703-007-0262-7
20

Intrieri, E., Carlà, T., Gigli, G., 2019, Forecasting the time of failure of landslides at slope-scale: A literature review, Earth-Science Reviews, 193, 333-349.

10.1016/j.earscirev.2019.03.019
21

Intrieri, E., Gigli, G., Casagli, N., Nadim, F., 2013, Brief communication "Landslide Early Warning System: Toolbox and general concepts", Natural Hazards and Earth System Sciences, 13(1), 85-90.

10.5194/nhess-13-85-2013
22

Jan, C.D., Lee, M.H., 2004, A debris-flow rainfall-based warning model, Journal of Chinese Soil and Water Conservation, 35(3), 275-285.

23

Jaramillo-González, R., Giraldo, E.A., Aristizábal, E.G., Marín, R.J., 2023, Physically-based model applied to rainfall thresholds for shallow landslides: Literature review, Revista de la Asociación Geológica Argentina, 80(2), 164-178.

24

Klimeš, J., Rios Escobar, V., 2010, A landslide susceptibility assessment in urban areas based on existing data: An example from the Iguaná Valley, Medellín City, Colombia, Natural Hazards and Earth System Sciences, 10(10), 2067-2079.

10.5194/nhess-10-2067-2010
25

Marin, R.J., 2020, Physically based and distributed rainfall intensity and duration thresholds for shallow landslides, Landslides, 17, 2907-2917.

10.1007/s10346-020-01481-9
26

Marin, R.J., García, E.F., Aristizábal, E., 2020, Effect of basin morphometric parameters on physically-based rainfall thresholds for shallow landslides, Engineering Geology, 278, 105855.

10.1016/j.enggeo.2020.105855
27

Marín, R.J., García-Aristizábal, E., Aristizábal, E., 2019, Umbrales de lluvia para deslizamientos superficiales basados en modelos físicos: Aplicación en una subcuenca del Valle de Aburrá (Colombia). DYNA, 86(210), 312-322.

10.15446/dyna.v86n210.77166
28

Marin, R.J., Long, M., 2024, Deterioration models for geotechnical slopes: A systematic review on the long-term behaviour of earthwork assets, Structure and Infrastructure Engineering, 1-17.

10.1080/15732479.2024.2344662
29

Marin, R.J., Velásquez, M.F., 2020, Influence of hydraulic properties on physically modelling slope stability and the definition of rainfall thresholds for shallow landslides, Geomorphology, 351, 106976.

10.1016/j.geomorph.2019.106976
30

Marin, R.J., Velásquez, M.F., García, E.F., Alvioli, M., Aristizábal, E., 2021, Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains, CATENA, 206, 105563.

10.1016/j.catena.2021.105563
31

Mondini, A.C., Guzzetti, F., Chang, K.T., Monserrat, O., Martha, T.R., Manconi, A., 2021, Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future, Earth-Science Reviews, 216, 103574.

10.1016/j.earscirev.2021.103574
32

Nocentini, N., Medici, C., Barbadori, F., Gatto, A., Franceschini, R., del Soldato, M., Rosi, A., Segoni, S., 2024, Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation, Landslides, 21, 557-571.

10.1007/s10346-023-02176-7
33

Park, J.Y., Lee, S.R., Lee, D.H., Kim, Y.T., Lee, J.S., 2019, A regional-scale landslide early warning methodology applying statistical and physically based approaches in sequence, Engineering Geology, 260, 105193.

10.1016/j.enggeo.2019.105193
34

Piciullo, L., Calvello, M., Cepeda, J.M., 2018, Territorial early warning systems for rainfall-induced landslides, Earth-Science Reviews, 179, 228-247.

10.1016/j.earscirev.2018.02.013
35

Piciullo, L., Capobianco, V., Heyerdahl, H., 2022, A first step towards a IoT-based local early warning system for an unsaturated slope in Norway, Natural Hazards, 114, 3377-3407.

10.1007/s11069-022-05524-3
36

Prakasam, C., Aravinth, R., Kanwar, V.S., Nagarajan, B., 2021, Design and development of real-time landslide early warning system through low cost soil and rainfall sensors, Materials Today: Proceedings, 45(6), 5649-5654.

10.1016/j.matpr.2021.02.456
37

Segoni, S., Serengil, Y., Aydin, F., 2023, A prototype landslide early warning system in Rize (Turkey): Analyzing recent impacts to design a safer future, Landslides, 20, 683-694.

10.1007/s10346-022-01988-3
38

Sudani, P., Patil, K., 2024, Advancing landslide early warning systems through saturation monitoring and prediction, Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, 1-13.

10.1680/jgeen.23.00037
39

Tao, Z., Wang, Y., Zhu, C., Xu, H., Li, G., He, M., 2019, Mechanical evolution of constant resistance and large deformation anchor cables and their application in landslide monitoring, Bulletin of Engineering Geology and the Environment, 78, 4787-4803.

10.1007/s10064-018-01446-2
40

Tiranti, D., Rabuffetti, D., 2010, Estimation of rainfall thresholds triggering shallow landslides for an operational warning system implementation, Landslides, 7, 471-481.

10.1007/s10346-010-0198-8
41

Tiranti, D., Ronchi, C., 2023, Climate change impacts on shallow landslide events and on the performance of the regional shallow landslide early warning system of Piemonte (northwestern Italy), GeoHazards, 4(4), 475-496.

10.3390/geohazards4040027
42

Uchimura, T., Towhata, I., Lan Anh, T.T., Fukuda, J., Bautista, C.J.B., Wang, L., Seko, I., Uchida, T., Matsuoka, A., Ito, Y., Onda, Y., Iwagami, S., Kim, M.S., Sakai, N., 2010, Simple monitoring method for precaution of landslides watching tilting and water contents on slopes surface, Landslides, 7, 351-357.

10.1007/s10346-009-0178-z
43

Velásquez, M.F., Marin, R.J., 2022, Evaluation of the influence of soil mechanical parameters on the position of rainfall thresholds for shallow landslides, Arabian Journal of Geosciences, 15, 1678.

10.1007/s12517-022-10859-z
44

Wei, L.W., Huang, C.M., Chen, H., Lee, C.T., Chi, C.C., Chiu, C.L., 2018, Adopting the I3-R24 rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides, Natural Hazards and Earth System Sciences, 18(6), 1717-1733.

10.5194/nhess-18-1717-2018
45

Yang, Z., Cai, H., Shao, W., Huang, D., Uchimura, T., Lei, X., Tian, H., Qiao, J., 2019, Clarifying the hydrological mechanisms and thresholds for rainfall-induced landslide: In situ monitoring of big data to unsaturated slope stability analysis, Bulletin of Engineering Geology and the Environment, 78, 2139-2150.

10.1007/s10064-018-1295-5
46

Zhao, B., Dai, Q., Zhuo, L., Mao, J., Zhu, S., Han, D., 2022, Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting, Geomorphology, 398, 108051.

10.1016/j.geomorph.2021.108051
Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 34
  • No :2
  • Pages :173-191
  • Received Date : 2023-10-09
  • Revised Date : 2024-06-06
  • Accepted Date : 2024-06-07
  • DOI :https://doi.org/10.9720/kseg.2024.2.173
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