Abstract
The landslides are considered as one of the most dangerous natural disasters and can cause catastrophic influence on society. Therefore, improving the effectiveness of landslide early warning systems is an urgent requirement. The heavy and/or prolonged rainfall is the main factor that has triggered most of the landslide events. In this study, we propose the integration of a geotechnical model—LS-RAPID and a hydrological model—RRI in a WebGIS system to enhance the accuracy and efficiency of shallow landslide hazard early warning for a small basin in Ha Long City, Vietnam. LS-RAPID model is applied to determine potential landslide hazard areas and RRI model is employed to identify subsurface water levels. The system utilized real-time rainfall data from an automatic weather station and forecasted rainfall data from the GFS server as input data for the RRI model running inside the WebGIS server. By combining simulated results from LS-RAPID and RRI models, the integrated WebGIS system allows predicting the occurrence of landslide hazard in both location and time. With the ability to deliver highly accurate results in a short time, the system can be very helpful for the authorities at all levels in making early landslide hazard warnings that mitigate disasters in mountainous areas.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
An H, Tran TV, Lee G, Kim Y, Kim M, Noh S, Noh J (2016) Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow. Environ Model Softw 85:172–183
Artha Y, Julian ES (2018) Landslide early warning system prototype with GIS analysis indicates by soil movement and rainfall. IOP conference series: Earth Environ Sci 106(1)
Bogaard T, Greco R (2014) Preface “Hillslope hydrological modelling for landslides prediction” . Hydro Earth Syst Sci 18:4185–4188
Brabb EE (1991) The world landslide problem. Episodes 14(1):52–61
Chen W, He B, Zhang L, Nover D (2016) Developing an integrated 2D and 3D WebGIS-based platform for effective landslide hazard management. International Journal of Disaster Risk Reduction 20:26–38
Collins BD, Znidarcic D (2004) Stability analyses of rainfall induced landslides. J Geotech Geoenviron Eng 130(4):362–372
Dahlhaus PG, Miner AS, MacLeod A, Thompson H (2011) A Web-GIS and landslide database for south west victoria and its application to landslide zonation. Aust Geomech 46(2):203–209
Devoli G, Strauch W, Chavez G, Hoeg K (2007) A landslide database for Nicaragua: a tool for landslidehazard management. Landslides 4(2):163–176
Di L, Chen A, Yang W, Zhao P (2003) The integration of grid technology with OGC web services (OWS) in NWGISS for NASA EOS data. In: Proceedings of the 8th global grid forum (GGF8 & HPDC12 2003)
Ekanayake J, Phillips C, Phillips J (1999) A model for determining thresholds for initiation of shallow landslides under near-saturated conditions in the East Coast region. New Zealand. J Hydrol (New Zealand) 38(1):1–28
Ha ND, Sayama T, Sassa K, Takara K, Uzuoka R, Dang K, Pham TV (2020) A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam. Landslides. https://doi.org/10.1007/s10346-020-01385-8
Hou S, Li A, Han B, Zhou P (2013) An early warning system for regional rain-induced landslide hazard. Int J Geosci 4(3):584–587
Huang R, Huang J, Ju N, He C, Li W (2013) WebGIS-based information management system for landslides triggered by Wenchuan earthquake. Nat Hazards 65(3):1507–1517
Huggel C, Ramirez JM, Calvache M, González H, Gutierrez C, Krebs R (2008) A landslide early warning system within an integral risk management strategy for the Combeima-Tolima Region, Colombia. In: Proceedings of the international disaster and risk conference (IDRC), Davos, Switzerland, pp 273–276
Hung LQ, Van NTH, Son PV, Ninh NH, Tam N, Huyen NT (2017) Landslide inventory mapping in the fourteen Northern Provinces of Vietnam: achievements and difficulties. In: Sassa K, Mikoš M, Yin Y (eds) Advancing culture of living with landslides. WLF 2017. Springer, Cham
Li XG, Wang AM, Wang ZM (2010) Stability analysis and monitoring study of Jijia River landslide based on WebGIS. J Coal Sci and Eng 16(1):41–46
Li B, Wu J, Pan M, Huang J (2015) Application of 3D WebGIS and real-time technique in earthquake information publishing and visualization. Earthq Sci 28(3):223–231
Mamai L, Gachari M, Makokha G (2017) Developing a Web-based water distribution geospatial information system for Nairobi Northern Region. J Geo Inf Syst 9:34–46
Miao F, Yuan Q (2013) A WebGIS-based information system for monitoring and warning of geological disasters for Lanzhou City, China. Adv Meteorol
Pessina V, Meroni F (2009) A WebGis tool for seismic hazard scenarios and risk analysis. Soil Dyn Earthq Eng 29(9):1274–1281
Reichenbach P, Cardinali M, Vita PD, Guzzetti F (1998) Regional hydrological thresholds for landslides and floods in the Tiber River Basin (central Italy). Environ Geol 35(2–3):146–259
Rosi A, Segoni S, Battistini A, Rossi G, Catani F, Casagli N (2017) Definition of a fully functional EWS based on Rainfall thresholds, the case of study of Tuscany Region. In: Mikoš M, Arbanas Ž, Yin Y, Sassa K (eds) Advancing culture of living with landslides. WLF 2017. Springer, Cham, pp 169–174
Sassa K, Nagai O, Solidum R, Yamazaki Y, Ohta H (2010) An integrated model simulating the initiation and motion of earthquake and rain induced rapid landslides and its application to the 2006 Leyte landslide. Landslides 7(3)
Sayama T, Ozawa G, Kawakami T, Nabesaka S, Fukami K (2012) Rainfall-runoff-inundation analysis of the 2010 Pakistan flood in the Kabul River basin. Hydrol Sci J 57(2):298–312
Thiebes B, Bell R, Glade T, Jäger S, Anderson M, Holcombe L (2013) A WebGIS decision-support system for slope stability based on limit-equilibrium modelling. Eng Geol 158:109–118
Yanxi Z, Gangjun L, Erjiang F, Kefei Z (2009) An object-relational prototype of GIS-based disaster database. Procedia Earth Planet Sci 1(1):1060–1066
Yu FC, Chen CY, Lin SC, Lin YC, Wu SY, Cheung KW (2007) A web-based decision support system for slopeland hazard warning. Environ Monit Assess 127(1–3):419–428
Zhang G, Chen L, Dong Z (2011) Real-Time Warning System of Regional Landslides Supported by WEBGIS and its Application in Zhejiang Province, China. Procedia Earth Planet Sci 2:247–254
Acknowledgements
This study is a part of the State-Funded Landslide Project (SFLP) “Investigation, assessment and warning zonation for landslides in the mountainous regions of Vietnam” and contributes to the Sendai Landslide Partnerships 2015-2025. The research was also financially supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan-ASEAN Science, Technology and Innovation Platform (JASTIP). The authors are immensely grateful colleagues from Vietnam Institute of Geosciences and Mineral Resources (VIGMR), MONRE for their support and valuable comments on this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ha, N.D., Quoc Hung, L., Sayama, T., Sassa, K., Takara, K., Dang, K. (2021). An Integrated WebGIS System for Shallow Landslide Hazard Early Warning . In: Casagli, N., Tofani, V., Sassa, K., Bobrowsky, P.T., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60311-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-60311-3_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60310-6
Online ISBN: 978-3-030-60311-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)