Categoria: LandAware network

Categorie
LandAware network News from members

Landslide session in MedGU24

NEWS received from
Ugur Öztürk (Universtiy of Potsdam, Germany)

Dear colleagues,

this year, there is an exciting conference in Barcelona—the Mediterranean Geosciences Union (MedGU) annual meeting—between 25 and 28 November. It is the largest meeting dedicated to exchanging ideas on addressing critical societal and environmental challenges in the Mediterranean Region from the geoscience perspective.

Among several engaging sessions, we (Tolga Görüm, Olivier Dewitte, Anika Braun. Ugur Öztürk) suggested one dedicated to the landslide theme (Landslides: Processes, Hazard, Vulnerability, and Risk). Among these broad themes, we want to particularly emphasize landslide prediction and early warning. Hence we invite you to submit an abstract to this special session or any other at MedGU24.

Abstract submission deadline is 30th June 2024

Landslide-session-MEDGU-24_Download
Categorie
LandAware network News from members

New LEWS article in open discussion

NEWS received from
Ben Mirus (USGS, USA)

We would like to draw your attention to a new NHESS Invited Perspectives, which is now posted online. The paper focuses on lessons learned from our collective experiences with integrating hydrologic information into landslide forecasting models in different parts of the world, as well as ideas for future research needs and opportunities. 

As with all EGUsphere articles, the paper is fully open access and free to read. We hope you will find it interesting and perhaps it can facilitate further discussions within the LandAware community. The preprint is open for discussion through June 24, and we would value your input whether formally or informally. 

Link: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1219/

Categorie
LandAware network WG07 Operational LEWS

Recordings of the webinar by NASA and PDC on Landslide Hazard Awareness

The recordings of the webinar by NASA and Pacific Disaster Center on Landslide Hazard Awareness held on April 11, 2024 (info here) can be found on the LandAware YouTube channel:

LandAware webinar “Landslide Hazard Awareness – NASA & PDC cooperation to support decision-making”
Categorie
LandAware network News from members

New article on regional early warning for slushflows

News received from
Monica Sund (NVE, Norway)

A new article entitled “A regional early warning for slushflow hazard” was recently published in the Natural Hazards and Earth System Sciences Journal.

Slushflows are rapid mass movements of water-saturated snow. They release in gently sloping locations (<30°) and are hence not restricted to steep slopes. Slushflows are observed worldwide in areas with seasonal snow cover and pose a significant natural hazard in Norway. Hazard prediction and early warning are therefore crucial to prevent casualties and damage to infrastructure.

A regional early warning for slushflow hazard was established in Norway in 2013–2014 as the first of its kind in the world. It has been operational since then. Four main variables are central in the methodology used: ground conditions, snow properties, air temperature, and water supply to snow. Gridded forecasting model simulations in the decision-making tool Varsom Xgeo, real-time data from automatic stations, and field observations from the field are assessed. Based on data from historical slushflows, a water supply–snow depth by snow type ratio has been developed as an assessment tool. This approach can be implemented in other areas with slushflow hazard where the necessary input data are available.

Reference: Sund, M., Grønsten, H. A., and Seljesæter, S. Å.: A regional early warning for slushflow hazard, Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, 2024.

Categorie
LandAware network

LandAware get-together dinner at EGU24 – photos

Some photos of the LandAware get-together dinner during EGU24

Categorie
LandAware network WG07 Operational LEWS

New webinar by NASA and Pacific Disaster Center on Landslide Hazard Awareness

The webinar “Landslide Hazard Awareness – NASA and Pacific Disaster Center cooperation to support decision-making” is scheduled for April 11, 2024 in the following time slots:

1:00 p.m-2:30 p.m. (EST)
11:00 a.m. 12:30 p.m. (Centro América)
7:00 p.m.-8:30 p.m. (CEST)

To join the webinar use the following link

Link

Key objectives:
Present Research Findings and showcase the partnership between NASA and the Pacific Disaster Center (PDC) in leveraging advanced technologies and data to improve landslide hazard assessment and decision-making processes. Introduce participants to the various tools, platforms, and resources developed through the collaboration between NASA and the PDC, such as landslide risk maps, and decision support tools.

Expected outcomes:
At the end of the webinar, it is expected that participants will have gained a better understanding of the actions and strategies implemented by the organizations involved in the region and that concrete opportunities for future collaboration will have been identified. In addition, it seeks to foster a renewed commitment to risk reduction and resilience in Central America.

Expected audience:
The webinar is open to all LandAware associates in particular those from the LatinAmerica region or working with landslide early warning systems in the region. The webinar is aimed in particular at the network on landslides in Central America made up of experts from official institutions in Central American countries, such as INSIVUMEH of Guatemala, INETER of Nicaragua, SGR of Costa Rica, SINAPROC of Panama, COPECO of Honduras, and MARN of El Salvador.

Next steps – After the webinar:
A monitoring process will be carried out that will include preparing a report with the conclusions and recommendations that emerged during the event. In addition, the possibilities of establishing working groups or joint projects will be explored to advance risk reduction in the region.

Organizers:
Ricardo Quiroga: NASA Disasters Coordinator
Graziella Devoli: LandAware EC member/Norwegian Water Resources and Energy Directorate (NVE)

Presenters:
Thomas Stanley LinkedIn
Greg Hampe LinkedIn
Robert Emberson LinkedIn

Duration: 90 minutes

Agenda:

  1. Introduction. 10 min. Robert Emberson and Graziella Devoli
  2. LHASA Model features and evolution. 15 min. Thomas Stanley
  3. PDC Disaster Aware. 45 min. Greg Hampe
  4. Q&A. 20 min
Categorie
LandAware network

EGU24 LandAware get-together in Vienna on Thursday, April 18

As we did in 2022 and 2023, we would like to take advantage of the fact that some LandAware members will be in Vienna at #EGU24 in April… to get together for one evening, to meet and talk in person.

We chose Thursday, April 18, 2024, because that’s the day the session on landslides early warning systems (NH3.7 Towards innovative landslide monitoring, modelling, and early warning systems) is scheduled, thus we are assuming that if you will attend EGU24 , you will most likely be in Vienna on that evening.

The get-together will be an informal dinner with good Austrian beer, self-funded by the participants (unfortunately LandAware doesn’t have any funding to manage), in a restaurant/brewery: Salm Brau. We suggest we meet there at 7:30 PM.

If you are in Vienna on that day, and you like the idea, we ask you to FILL THIS FORM  as we need to know in advance the number of people participating (a reservation is necessary in that place).

Looking forward to seeing you in Vienna!

Categorie
LandAware network

Recording of the seminar on the Brienz/Brinzauls landslide

The recording of the presentation on the failure prediction and hazard management of the “Insel” rockslide compartment at Brienz/Brinzails (Eastern Switzerland) held on 18 January 2024 by Simon Löw is online on the LandAware YouTube channel.

Seminar by Simon Löw on the “Failure prediction and Hazard management of the “Insel” rockslide compartment at Brienz/Brinzauls (Eastern Switzerland).
Categorie
LandAware network News from members

EGU24 session on LEWS Call-for-abstracts

NEWS received from
Luca Piciullo (NGI, Norway)

The call-for-abstracts of EGU General Assembly 2024 is open!
#EGU24 will be held in Vienna, Austria, and online on 14-19 April 2024.
Don’t miss the chance to submit an abstract to our session entitled Towards innovative Landslide monitoring, modelling, and Early Warning Systems!

Contributions addressing the following topics are welcome:
– conventional and innovative slope-scale monitoring systems for early warning purposes
– conventional and innovative regional prediction tools for warning purposes
– innovative on-site instruments and/or remote sensing devices implemented in LEWS
– warning models for warning/alert issuing
– operational applications and performance analyses of LEWS
– communication strategies
– emergency phase management

The abstract submission deadline is 10 January 2024, 13:00 CET.

More info at: https://meetingorganizer.copernicus.org/EGU24/session/48551

Conveners:
Luca Piciullo,
Tina Peternel,
Stefano Luigi Gariano,
Neelima Satyam,
Samuele Segoni


Categorie
LandAware network News from members

Research grant available at CNR-IRPI, Perugia, Italy

NEWS received from
Stefano Luigi Gariano (CNR-IRPI, Italy)

A new research grant is available at CNR-IRPI, Perugia, Italy.

The topic of the grant (on which the evaluation of qualifications and the interview will be based) is “Analysis of rainfall and geomorphological data and development of prediction models for rainfall-induced landslide triggering at a territorial scale“. The research grant is part of the project “Prediction of Rainfall-INduced landslides – Improving multi-scale TerritoriAL Early warning through aRTificial intelligence (PRIN-ITALERT)” funded by EU-NextGenerationEU.

Deadline for applications: 28 December 2023

The selection will be made by evaluation of qualifications and interview.

More information (in Italian and English) on the application and selection procedure can be found at:

The PRIN-ITALERT project (Prediction of Rainfall-INduced landslides – Improving multi-scale TerritoriAL Early warning through aRTificial intelligence) aims at improving the operational prediction of rainfall-induced landslides over large areas taking advantage of both rainfall thresholds defined using satellite-based rainfall products and innovative approaches based on artificial intelligence algorithms, in particular, Random Forest and Artificial Neural Networks.
Other information about the project here: https://www.irpi.cnr.it/en/project/prin-italert/