Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago DOI Creative Commons
Ionuţ Cristi Nicu, Letizia Elia, Lena Rubensdotter

et al.

Earth system science data, Journal Year: 2023, Volume and Issue: 15(1), P. 447 - 464

Published: Jan. 31, 2023

Abstract. The Svalbard Archipelago represents the northernmost place on Earth where cryospheric hazards, such as thaw slumps (TSs) and thermo-erosion gullies (TEGs) could take rapidly develop under influence of climatic variations. permafrost is specifically sensitive to occurring warming, therefore, a deeper understanding TSs TEGs necessary understand foresee dynamics behind local hazards' occurrences their global implications. We present latest update two polygonal inventories extent recorded across Nordenskiöld Land (Svalbard Archipelago), over surface approximately 4000 km2. This area was chosen because it most concentrated ice-free and, at same time, current human settlements are concentrated. were created through visual interpretation high-resolution aerial photographs part our ongoing effort toward creating pan-Arctic repository TEGs. Overall, we mapped 562 908 TEGs, from which separately generated susceptibility maps using generalised additive model (GAM) approach, assumption that manifest Land, according Bernoulli probability distribution. Once modelling results validated, patterns combined into first multi-hazard map area. available https://doi.org/10.1594/PANGAEA.945348 (Nicu et al., 2022a) https://doi.org/10.1594/PANGAEA.945395 2022b).

Language: Английский

Application of novel deep boosting framework-based earthquake induced landslide hazards prediction approach in Sikkim Himalaya DOI
Indrajit Chowdhuri, Subodh Chandra Pal, Saeid Janizadeh

et al.

Geocarto International, Journal Year: 2022, Volume and Issue: 37(26), P. 12509 - 12535

Published: April 20, 2022

A major earthquake (6.9 Moment magnitude) occurred in the Sikkim and Darjeeling areas of Indian Himalaya as well adjacent Nepal on 18th September 2011, triggering a large number landslides. total 188 landslide locations were extracted order to create inventory map (LIM). The earthquake-induced susceptibility maps (LSMs) created using an Artificial Neural Network (ANN) model three novel deep learning approaches (DLAs), namely Deep Boosting (DB), Learning (DLNN), Tree (DLT), training points 22 conditioning factors. LSMs validated several statistical indices results showed optimal accuracy for all models, where DB yielding highest prediction rate curve (PRC) 98.5%. This is followed by DLT (97%), DLNN (96%), ANN (91%). demonstrate maximum efficacy proposed LSM.

Language: Английский

Citations

23
Mapping of earthquake hotspot and coldspot zones for identifying potential landslide hotspot areas in the Himalayan region DOI
Indrajit Chowdhuri, Subodh Chandra Pal, Asish Saha

et al.

Bulletin of Engineering Geology and the Environment, Journal Year: 2022, Volume and Issue: 81(7)

Published: June 4, 2022

Language: Английский

Citations

23
Application of data-mining technique and hydro-chemical data for evaluating vulnerability of groundwater in Indo-Gangetic Plain DOI
Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Rabin Chakrabortty

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 318, P. 115582 - 115582

Published: June 27, 2022

Language: Английский

Citations

23
Modelling of groundwater potential zone in hard rock-dominated drought-prone region of eastern India using integrated geospatial approach DOI
Tanmoy Biswas, Subodh Chandra Pal,

Dipankar Ruidas

et al.

Environmental Earth Sciences, Journal Year: 2023, Volume and Issue: 82(3)

Published: Jan. 28, 2023

Language: Английский

Citations

16
Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago DOI Creative Commons
Ionuţ Cristi Nicu, Letizia Elia, Lena Rubensdotter

et al.

Earth system science data, Journal Year: 2023, Volume and Issue: 15(1), P. 447 - 464

Published: Jan. 31, 2023

Abstract. The Svalbard Archipelago represents the northernmost place on Earth where cryospheric hazards, such as thaw slumps (TSs) and thermo-erosion gullies (TEGs) could take rapidly develop under influence of climatic variations. permafrost is specifically sensitive to occurring warming, therefore, a deeper understanding TSs TEGs necessary understand foresee dynamics behind local hazards' occurrences their global implications. We present latest update two polygonal inventories extent recorded across Nordenskiöld Land (Svalbard Archipelago), over surface approximately 4000 km2. This area was chosen because it most concentrated ice-free and, at same time, current human settlements are concentrated. were created through visual interpretation high-resolution aerial photographs part our ongoing effort toward creating pan-Arctic repository TEGs. Overall, we mapped 562 908 TEGs, from which separately generated susceptibility maps using generalised additive model (GAM) approach, assumption that manifest Land, according Bernoulli probability distribution. Once modelling results validated, patterns combined into first multi-hazard map area. available https://doi.org/10.1594/PANGAEA.945348 (Nicu et al., 2022a) https://doi.org/10.1594/PANGAEA.945395 2022b).

Language: Английский

Citations

15