Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Minu Treesa Abraham"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 14, Iss 6, Pp 1747-1760 (2022)
Debris flows are rapid mass movements with a mixture of rock, soil and water. High-intensity rainfall events have triggered multiple debris flows around the globe, making it an important concern from the disaster management perspective. This study pr
Externí odkaz:
https://doaj.org/article/84adebb51ee14693851e2267624d8f24
Publikováno v:
All Earth, Vol 34, Iss 1, Pp 243-258 (2022)
The increase in population and urbanisation of hilly regions have increased the risk due to landslides. This manuscript presents a data-driven approach with a random forest algorithm to estimate the projected area, length, travel distance, and width
Externí odkaz:
https://doaj.org/article/82357e09cf104387b9b8eafacf337115
Autor:
Minu Treesa Abraham, Neelima Satyam, Nakshatram Shreyas, Biswajeet Pradhan, Samuele Segoni, Khairul Nizam Abdul Maulud, Abdullah M. Alamri
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 540-559 (2021)
This study proposes a regional landslide early warning system for Idukki (India), using a decisional algorithm. The algorithm forecasts the possibility of occurrence of landslide by comparing the rainfall thresholds with the cumulated rainfall values
Externí odkaz:
https://doaj.org/article/c4ee3e87bc88473e99a9799ed9f542e9
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 3381-3408 (2021)
With the increasing computational facilities and data availability, machine learning (ML) models are gaining wide attention in landslide modeling. This study evaluates the effect of spatial resolution and data splitting, using five different ML algor
Externí odkaz:
https://doaj.org/article/f3a52b235e314252a5055961f199a933
Publikováno v:
Land, Vol 10, Iss 9, p 989 (2021)
Data driven methods are widely used for the development of Landslide Susceptibility Mapping (LSM). The results of these methods are sensitive to different factors, such as the quality of input data, choice of algorithm, sampling strategies, and data
Externí odkaz:
https://doaj.org/article/2e35dc9b993e47fe9cc96ffe9260e641
Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning
Autor:
Minu Treesa Abraham, Neelima Satyam, Maria Alexandra Bulzinetti, Biswajeet Pradhan, Binh Thai Pham, Samuele Segoni
Publikováno v:
Water, Vol 12, Iss 12, p 3453 (2020)
Landslides are natural disasters which can create major setbacks to the socioeconomic of a region. Destructive landslides may happen in a quick time, resulting in severe loss of lives and properties. Landslide Early Warning Systems (LEWS) can reduce
Externí odkaz:
https://doaj.org/article/193d97d6e23f4e988c8b7e970e65b779
Publikováno v:
Sensors, Vol 20, Iss 9, p 2611 (2020)
In hilly areas across the world, landslides have been an increasing menace, causing loss of lives and properties. The damages instigated by landslides in the recent past call for attention from authorities for disaster risk reduction measures. Develo
Externí odkaz:
https://doaj.org/article/1b08170563e045e0b56f6e6997db928a
Publikováno v:
Water, Vol 12, Iss 4, p 1000 (2020)
Recurring landslides in the Western Ghats have become an important concern for authorities, considering the recent disasters that occurred during the 2018 and 2019 monsoons. Wayanad is one of the highly affected districts in Kerala State (India), whe
Externí odkaz:
https://doaj.org/article/c2a8d6587e324ccea7b59904f17a810b
Autor:
Minu Treesa Abraham, Neelima Satyam, Sai Kushal, Ascanio Rosi, Biswajeet Pradhan, Samuele Segoni
Publikováno v:
Water, Vol 12, Iss 4, p 1195 (2020)
Rainfall-induced landslides are among the most devastating natural disasters in hilly terrains and the reduction of the related risk has become paramount for public authorities. Between the several possible approaches, one of the most used is the dev
Externí odkaz:
https://doaj.org/article/dff4dc5770a046a589bd6f66922b7415
Publikováno v:
Water, Vol 12, Iss 3, p 804 (2020)
Rainfall induced landslides are creating havoc in hilly areas and have become an important concern for the stakeholders and public. Many approaches have been proposed to derive rainfall thresholds to identify the critical conditions that can initiate
Externí odkaz:
https://doaj.org/article/aaeb45e28d864e34b76762c1d8e67693