Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3399-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-3399-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Dec 2020
Research article |
| 14 Dec 2020
| 14 Dec 2020
Assessments of land subsidence along the Rizhao–Lankao high-speed railway at Heze, China, between 2015 and 2019 with Sentinel-1 data
Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan university of Science & Technology, Xiangtan 411201, China
Wenhao Wu
Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan university of Science & Technology, Xiangtan 411201, China
Mahdi Motagh
Section of Remote Sensing and Geoinformatics at GFZ German Research Centre for Geosciences, Potsdam, Germany
Institute of Photogrammetry and Geoinformation at Leibniz University Hannover (LUH), Hannover, Germany
Liya Zhang
Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan university of Science & Technology, Xiangtan 411201, China
Zongli Jiang
Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan university of Science & Technology, Xiangtan 411201, China
Sichun Long
Key Laboratory of Coal Resources Clean-utilization & Mine Environment Protection of Hunan Province, Hunan university of Science & Technology, Xiangtan 411201, China
Related authors
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Yu Zhu, Shiyin Liu, Junfeng Wei, Kunpeng Wu, Tobias Bolch, Junli Xu, Wanqin Guo, Zongli Jiang, Fuming Xie, Ying Yi, Donghui Shangguan, Xiaojun Yao, and Zhen Zhang
Earth Syst. Sci. Data, 17, 1851–1871, https://doi.org/10.5194/essd-17-1851-2025, https://doi.org/10.5194/essd-17-1851-2025, 2025
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This study compiled a near-complete inventory of glacier mass changes across the eastern Tibetan Plateau using topographical maps. These data enhance our understanding of glacier change variability before 2000. When combined with existing research, our dataset provides a nearly 5-decade record of mass balance, aiding hydrological simulations and assessments of mountain glacier contributions to sea-level rise.
Chao Zhou, Yue Wang, Ying Cao, Ramesh P. Singhc, Bayes Ahmed, Mahdi Motagh, Yang Wang, and Ling Chen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-44, https://doi.org/10.5194/nhess-2023-44, 2023
Preprint withdrawn
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We found that the altitude (< 240 m) and distance to rivers (< 300 m) emerged as important factors for the cause of landslides. LR-MLP-Boosting achieves the highest prediction accuracy. The coupling models outperform the corresponding single models and Boosting algorithm performs better than the Bagging algorithm. High-quality non-landslide samples enhance the accuracy of LSM. They can be effectively obtained by using the LR model to constrain its selection range.
Fuming Xie, Shiyin Liu, Yongpeng Gao, Yu Zhu, Tobias Bolch, Andreas Kääb, Shimei Duan, Wenfei Miao, Jianfang Kang, Yaonan Zhang, Xiran Pan, Caixia Qin, Kunpeng Wu, Miaomiao Qi, Xianhe Zhang, Ying Yi, Fengze Han, Xiaojun Yao, Qiao Liu, Xin Wang, Zongli Jiang, Donghui Shangguan, Yong Zhang, Richard Grünwald, Muhammad Adnan, Jyoti Karki, and Muhammad Saifullah
Earth Syst. Sci. Data, 15, 847–867, https://doi.org/10.5194/essd-15-847-2023, https://doi.org/10.5194/essd-15-847-2023, 2023
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In this study, first we generated inventories which allowed us to systematically detect glacier change patterns in the Karakoram range. We found that, by the 2020s, there were approximately 10 500 glaciers in the Karakoram mountains covering an area of 22 510.73 km2, of which ~ 10.2 % is covered by debris. During the past 30 years (from 1990 to 2020), the total glacier cover area in Karakoram remained relatively stable, with a slight increase in area of 23.5 km2.
Yu Zhu, Shiyin Liu, Junfeng Wei, Kunpeng Wu, Tobias Bolch, Junli Xu, Wanqin Guo, Zongli Jiang, Fuming Xie, Ying Yi, Donghui Shangguan, Xiaojun Yao, and Zhen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-473, https://doi.org/10.5194/essd-2022-473, 2023
Preprint withdrawn
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In this study, we presented a nearly complete inventory of glacier mass change dataset across the eastern Tibetan Plateau by using topographical maps, which will enhance the knowledge on the heterogeneity of glacier change before 2000. Our dataset, in combination with the published results, provide a nearly five decades mass balance to support hydrological simulation, and to evaluate the contribution of mountain glacier loss to sea level.
W. Wang, M. Motagh, S. Plank, A. Orynbaikyzy, and S. Roessner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1181–1187, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1181-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1181-2022, 2022
A. Piter, M. H. Haghighi, and M. Motagh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 333–340, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-333-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-333-2022, 2022
B. Ghosh, S. Garg, and M. Motagh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 201–208, https://doi.org/10.5194/isprs-annals-V-3-2022-201-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-201-2022, 2022
M. Haghshenas Haghighi and M. Motagh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 155–161, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-155-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-155-2021, 2021
A. Piter, M. Vassileva, M. Haghshenas Haghighi, and M. Motagh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 171–176, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-171-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-171-2021, 2021
B. Ghosh, M. Haghshenas Haghighi, M. Motagh, and S. Maghsudi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 57–64, https://doi.org/10.5194/isprs-annals-V-3-2021-57-2021, https://doi.org/10.5194/isprs-annals-V-3-2021-57-2021, 2021
Kamila Pawluszek-Filipiak, Mahdi Motagh, and Andrzej Borkowski
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-112, https://doi.org/10.5194/nhess-2020-112, 2020
Preprint withdrawn
Junfeng Wei, Shiyin Liu, Te Zhang, Xin Wang, Yong Zhang, Zongli Jiang, Kunpeng Wu, and Zheng Zhang
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-259, https://doi.org/10.5194/tc-2019-259, 2020
Preprint withdrawn
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During the past three decades, Longbasaba Glacier has experienced a continuous and accelerating recession in glacier area and length but accompanied by the decelerating surface lowing and ice flow. The glacier surface lowering played a predominant role in the mass contribution of glacier shrinkage to the increase in lake water volume, while ice avalanches were the main potential trigger for failure of moraine dams and subsequent GLOF events.
Zhen Zhang, Shiyin Liu, Zongli Jiang, Donghui Shangguan, Junfeng Wei, Wanqin Guo, Junli Xu, Yong Zhang, and Danni Huang
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-94, https://doi.org/10.5194/tc-2019-94, 2019
Preprint withdrawn
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We present an integrated view of the glacier area and its mass changes for Mt. Xinqingfeng and Mt. Malan of the inner Tibetan Plateau as derived from topographic maps, Landsat, ASTER, SRTM DEM, and TerraSAR-X/TanDEM-X for the period of 1970–2012 and 1970–2018, respectively. The glaciers experienced weak shrinkage and slight negative mass balance. The Monuomaha Glacier and Zu Glacier together with another 5 glaciers displayed the surging or advancing characteristics during the observation period.
Kunpeng Wu, Shiyin Liu, Zongli Jiang, Junli Xu, and Junfeng Wei
The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-90, https://doi.org/10.5194/tc-2018-90, 2018
Revised manuscript not accepted
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This study presents diminishing ice cover in the central Nyainqentanglha Range by 0.68 % ± 0.05 % a−1, and a mean mass deficit of 0.46 % ± 0.04 m w.e. a−1 since 1968. Mass losses accelerating from 0.42 % ± 0.05 m w.e. a−1 to 0.60 % ± 0.20 m w.e. a−1 during 1968–2000 and 2000–~2013, with thinning noticeably greater on the debris-covered ice than the clean ice. Surface-elevation changes can be influenced by ice cliffs, as well as debris cover, and land- or lake-terminating glaciers and supraglacial lakes.
Sanaz Vajedian and Mahdi Motagh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 205–209, https://doi.org/10.5194/isprs-annals-IV-3-205-2018, https://doi.org/10.5194/isprs-annals-IV-3-205-2018, 2018
Kunpeng Wu, Shiyin Liu, Zongli Jiang, Junli Xu, Junfeng Wei, and Wanqin Guo
The Cryosphere, 12, 103–121, https://doi.org/10.5194/tc-12-103-2018, https://doi.org/10.5194/tc-12-103-2018, 2018
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This study presents diminishing ice cover in the Kangri Karpo Mountains by 24.9 % ± 2.2 % or 0.71 % ± 0.06 % a−1 from 1980 to 2015 but with nine glaciers advancing. By utilizing geodetic methods, glaciers have experienced a mean mass deficit of 0.46 ± 0.08 m w.e. a−1 from 1980 to 2014. These glaciers showed slight accelerated shrinkage and significant accelerated mass loss during 2000–2015 compared to that during 1980–2000, which is consistent with the tendency of climate warming.
Related subject area
Other Hazards (e.g., Glacial and Snow Hazards, Karst, Wildfires Hazards, and Medical Geo-Hazards)
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Proglacial lake evolution and outburst flood hazard at Fjallsjökull glacier, southeast Iceland
How hard do avalanche practitioners tap during snow stability tests?
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers
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An Efficient Method to Simulate Wildfire Propagation Using Irregular Grids
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Evaluation of low-cost Raspberry Pi sensors for structure-from-motion reconstructions of glacier calving fronts
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A data-driven model for Fennoscandian wildfire danger
Equivalent hazard magnitude scale
Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia
Drivers of extreme burnt area in Portugal: fire weather and vegetation
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Glacial lake outburst flood hazard under current and future conditions: worst-case scenarios in a transboundary Himalayan basin
What weather variables are important for wet and slab avalanches under a changing climate in a low-altitude mountain range in Czechia?
Modelling ignition probability for human- and lightning-caused wildfires in Victoria, Australia
Automated snow avalanche release area delineation in data-sparse, remote, and forested regions
The 2017 Split wildfire in Croatia: evolution and the role of meteorological conditions
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Cristina Pérez-Guillén, Frank Techel, Michele Volpi, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 25, 1331–1351, https://doi.org/10.5194/nhess-25-1331-2025, https://doi.org/10.5194/nhess-25-1331-2025, 2025
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This study assesses the performance and explainability of a random-forest classifier for predicting dry-snow avalanche danger levels during initial live testing. The model achieved ∼ 70 % agreement with human forecasts, performing equally well in nowcast and forecast modes, while capturing the temporal dynamics of avalanche forecasting. The explainability approach enhances the transparency of the model's decision-making process, providing a valuable tool for operational avalanche forecasting.
John Sykes, Pascal Haegeli, Roger Atkins, Patrick Mair, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 25, 1255–1292, https://doi.org/10.5194/nhess-25-1255-2025, https://doi.org/10.5194/nhess-25-1255-2025, 2025
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We model the decision-making of professional ski guides and develop decision support tools to assist with determining appropriate terrain based on current conditions. Our approach compares a manually constructed Bayesian network with machine learning classification models. The models accurately capture the real-world decision-making outcomes in 85–93 % of cases. Our conclusions focus on strengths and weaknesses of each model and discuss ramifications for practical applications in ski guiding.
Adam Emmer, Oscar Vilca, Cesar Salazar Checa, Sihan Li, Simon Cook, Elena Pummer, Jan Hrebrina, and Wilfried Haeberli
Nat. Hazards Earth Syst. Sci., 25, 1207–1228, https://doi.org/10.5194/nhess-25-1207-2025, https://doi.org/10.5194/nhess-25-1207-2025, 2025
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We describe in detail the most recent large landslide-triggered glacial lake outburst flood (GLOF) in the Peruvian Andes (the 2023 Rasac GLOF), analysing its preconditions and consequences, as well as the role of the changing climate. Our study contributes to understanding GLOF occurrence patterns in space and time and corroborates reports detailing the increasing frequency of such events in changing mountains.
Grant Statham and Cam Campbell
Nat. Hazards Earth Syst. Sci., 25, 1113–1137, https://doi.org/10.5194/nhess-25-1113-2025, https://doi.org/10.5194/nhess-25-1113-2025, 2025
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The Avalanche Terrain Exposure Scale (ATES) is an avalanche terrain rating system used for terrain assessment and risk communication in public and workplace avalanche safety practices. This paper introduces ATES v.2, an update that expands the original scale from three levels to five by including Class 0 – Non-avalanche terrain and Class 4 – Extreme terrain. The updated models for assessment and communication are described in detail, along with guidance for the application of ATES.
Audun Hetland, Rebecca A. Hetland, Tarjei Tveito Skille, and Andrea Mannberg
Nat. Hazards Earth Syst. Sci., 25, 929–948, https://doi.org/10.5194/nhess-25-929-2025, https://doi.org/10.5194/nhess-25-929-2025, 2025
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Research on human factors in avalanche decision-making has become increasingly popular in the past 2 decades. The studies span a wide range of disciplines and are published in a variety of journals. To provide an overview of this literature, this study provides a systematic scoping review of human factors in avalanche decision-making. A total of 70 papers fulfilled the search criteria. We extracted data and sorted the papers according to their main themes.
Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 25, 625–646, https://doi.org/10.5194/nhess-25-625-2025, https://doi.org/10.5194/nhess-25-625-2025, 2025
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We present a spatial framework for extracting information about avalanche problems from detailed snowpack simulations and compare the numerical results against operational assessments from avalanche forecasters. Despite good agreement in seasonal summary statistics, a comparison of daily assessments revealed considerable differences, while it remained unclear which data source represented reality the best. We discuss how snowpack simulations can add value to the forecasting process.
Katharina H. Horn, Stenka Vulova, Hanyu Li, and Birgit Kleinschmit
Nat. Hazards Earth Syst. Sci., 25, 383–401, https://doi.org/10.5194/nhess-25-383-2025, https://doi.org/10.5194/nhess-25-383-2025, 2025
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In this study we applied a random forest machine learning algorithm to model current and future forest fire susceptibility (FFS) in north-eastern Germany using anthropogenic, climatic, topographic, soil, and vegetation variables. Model accuracy ranged between 69 % and 71 %, showing moderately high model reliability for predicting FFS. The model results underline the importance of anthropogenic and vegetation parameters. This study will support regional forest fire prevention and management.
Bastian Bergfeld, Karl W. Birkeland, Valentin Adam, Philipp L. Rosendahl, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 25, 321–334, https://doi.org/10.5194/nhess-25-321-2025, https://doi.org/10.5194/nhess-25-321-2025, 2025
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To release a slab avalanche, a crack in a weak snow layer beneath a cohesive slab has to propagate. Information on that is essential for assessing avalanche risk. In the field, information can be gathered with the propagation saw test (PST). However, there are different standards on how to cut the PST. In this study, we experimentally investigate the effect of these different column geometries and provide models to correct for imprecise field test geometry effects on the critical cut length.
Stephanie Bohlmann and Marko Laine
Nat. Hazards Earth Syst. Sci., 24, 4225–4235, https://doi.org/10.5194/nhess-24-4225-2024, https://doi.org/10.5194/nhess-24-4225-2024, 2024
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Probabilistic ensemble forecasts of the Canadian Forest Fire Weather Index (FWI) can be used to estimate the possible wildfire risk but require post-processing to provide accurate and reliable predictions. This article presents a calibration method using non-homogeneous Gaussian regression to statistically post-process FWI forecasts up to 15 d. Calibration improves the forecast especially at short lead times and in regions with high fire risk.
Amelie Fees, Alec van Herwijnen, Michael Lombardo, Jürg Schweizer, and Peter Lehmann
Nat. Hazards Earth Syst. Sci., 24, 3387–3400, https://doi.org/10.5194/nhess-24-3387-2024, https://doi.org/10.5194/nhess-24-3387-2024, 2024
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Glide-snow avalanches release at the ground–snow interface, and their release process is poorly understood. To investigate the influence of spatial variability (snowpack and basal friction) on avalanche release, we developed a 3D, mechanical, threshold-based model that reproduces an observed release area distribution. A sensitivity analysis showed that the distribution was mostly influenced by the basal friction uniformity, while the variations in snowpack properties had little influence.
Kang He, Xinyi Shen, Cory Merow, Efthymios Nikolopoulos, Rachael V. Gallagher, Feifei Yang, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 3337–3355, https://doi.org/10.5194/nhess-24-3337-2024, https://doi.org/10.5194/nhess-24-3337-2024, 2024
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A framework combining a fire severity classification with a regression model to predict an indicator of fire severity derived from Landsat imagery (difference normalized burning ratio, dNBR) is proposed. The results show that the proposed predictive technique is capable of providing robust fire severity prediction information, which can be used for forecasting seasonal fire severity and, subsequently, impacts on biodiversity and ecosystems under projected future climate conditions.
Greta Hoe Wells, Þorsteinn Sæmundsson, Finnur Pálsson, Guðfinna Aðalgeirsdóttir, Eyjólfur Magnússon, Reginald L. Hermanns, and Snævarr Guðmundsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-2002, https://doi.org/10.5194/egusphere-2024-2002, 2024
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Glacier retreat elevates the risk of landslides released into proglacial lakes, which can trigger glacial lake outburst floods (GLOFs). This study maps proglacial lake evolution and GLOF hazard scenarios at Fjallsjökull glacier, Iceland. Lake volume increased from 1945–2021 and is estimated to triple over the next century. Three slopes are prone to landslides that may trigger GLOFs. Results will mitigate flood hazard at this popular tourism site and advance GLOF research in Iceland and globally.
Håvard B. Toft, Samuel V. Verplanck, and Markus Landrø
Nat. Hazards Earth Syst. Sci., 24, 2757–2772, https://doi.org/10.5194/nhess-24-2757-2024, https://doi.org/10.5194/nhess-24-2757-2024, 2024
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This study investigates inconsistencies in impact force as part of extended column tests (ECTs). We measured force-time curves from 286 practitioners in Scandinavia, Central Europe, and North America. The results show a large variability in peak forces and loading rates across wrist, elbow, and shoulder taps, challenging the ECT's reliability.
Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 24, 2727–2756, https://doi.org/10.5194/nhess-24-2727-2024, https://doi.org/10.5194/nhess-24-2727-2024, 2024
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Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
Philipp L. Rosendahl, Johannes Schneider, Grégoire Bobillier, Florian Rheinschmidt, Bastian Bergfeld, Alec van Herwijnen, and Philipp Weißgraeber
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-122, https://doi.org/10.5194/nhess-2024-122, 2024
Revised manuscript accepted for NHESS
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Our research investigates the role of anticracks in snowpacks and their impact on avalanche formation, focusing on anticracks due to weak layer collapse. We discovered that slab touchdown on the snow below the weak layer decreases the energy available for crack propagation, potentially leading to a stop of crack propagation. This underscores the importance of mechanical interactions in snowpack stability. Our work offers new insights for enhancing avalanche prediction and mitigation strategies.
Tandin Wangchuk and Ryota Tsubaki
Nat. Hazards Earth Syst. Sci., 24, 2523–2540, https://doi.org/10.5194/nhess-24-2523-2024, https://doi.org/10.5194/nhess-24-2523-2024, 2024
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A glacial lake outburst flood (GLOF) is a natural hazard in which water from a glacier-fed lake is swiftly discharged, causing serious harm to life, infrastructure, and communities. We used numerical models to predict the potential consequences of a GLOF originating from the Thorthomi glacial lake in Bhutan. We found that if a GLOF occurs, the lake could release massive flood water within 4 h, posing a considerable risk. Study findings help to mitigate the impacts of future GLOFs.
Håvard B. Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Nat. Hazards Earth Syst. Sci., 24, 1779–1793, https://doi.org/10.5194/nhess-24-1779-2024, https://doi.org/10.5194/nhess-24-1779-2024, 2024
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Manual Avalanche Terrain Exposure Scale (ATES) mapping is time-consuming and inefficient for large-scale applications. The updated algorithm for automated ATES mapping overcomes previous limitations by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. Results show that the latest version has significantly improved its performance.
Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 24, 1521–1537, https://doi.org/10.5194/nhess-24-1521-2024, https://doi.org/10.5194/nhess-24-1521-2024, 2024
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Wildfires pose a significant risk to property located in the wildland–urban interface (WUI). To assess and mitigate this risk, we need to understand which characteristics of buildings and building arrangements make them more prone to damage. We used a combination of data collection and analysis methods to study the vulnerability of dwellings in the WUI for case studies in Chile and concluded that the spatial arrangement of houses has a substantial impact on their vulnerability to wildfires.
Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet
Nat. Hazards Earth Syst. Sci., 24, 1319–1339, https://doi.org/10.5194/nhess-24-1319-2024, https://doi.org/10.5194/nhess-24-1319-2024, 2024
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In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
Julia Glaus, Katreen Wikstrom Jones, Perry Bartelt, Marc Christen, Lukas Stoffel, Johan Gaume, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-771, https://doi.org/10.5194/egusphere-2024-771, 2024
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This study assesses RAMMS::EXTENDED's predictive power in estimating avalanche run-out distances critical for mountain road safety. Leveraging meteorological data and sensitivity analysis, it offers meaningful predictions, aiding near real-time hazard assessments and future model refinement for improved decision-making.
Grégoire Bobillier, Bertil Trottet, Bastian Bergfeld, Ron Simenhois, Alec van Herwijnen, Jürg Schweizer, and Johan Gaume
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-70, https://doi.org/10.5194/nhess-2024-70, 2024
Revised manuscript accepted for NHESS
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Our study focuses on the initiation process of snow slab avalanches. By combining experimental data and numerical simulations, we show that on gentle slopes, a crack forms and propagates due to compression fracture within a weak layer, and on steep slopes, the crack velocity can increase dramatically after about 5 meters due to a fracture mode transition (compression to shear). Understanding these dynamics represents an essential additional piece in the dry-snow slab avalanche formation puzzle.
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, https://doi.org/10.5194/nhess-24-1185-2024, 2024
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Slushflows are rapid mass movements of water-saturated snow released in gently sloping terrain (< 30°), often unexpectedly. Early warning is crucial to prevent casualties and damage to infrastructure. A regional early warning for slushflow hazard was established in Norway in 2013–2014 and has been operational since. We present a methodology using the ratio between water supply and snow depth by snow type to assess slushflow hazard. This approach is useful for other areas with slushflow hazard.
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024, https://doi.org/10.5194/nhess-24-999-2024, 2024
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This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024, https://doi.org/10.5194/nhess-24-947-2024, 2024
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The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
Conor Hackett, Rafael de Andrade Moral, Gourav Mishra, Tim McCarthy, and Charles Markham
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-27, https://doi.org/10.5194/nhess-2024-27, 2024
Revised manuscript accepted for NHESS
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This paper reviews existing wildfire propagation models and a comparison of different grid types including random grids to simulate wildfires. This paper finds that irregular grids simulate wildfires more efficiently than continuous models while still retaining a reasonable level of similarity. It also shows that irregular grids tend to retain greater similarity to continuous models than regular grids at the cost of slightly longer computational times.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
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With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024, https://doi.org/10.5194/nhess-24-47-2024, 2024
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Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 23, 3445–3465, https://doi.org/10.5194/nhess-23-3445-2023, https://doi.org/10.5194/nhess-23-3445-2023, 2023
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We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Wei Yang, Zhongyan Wang, Baosheng An, Yingying Chen, Chuanxi Zhao, Chenhui Li, Yongjie Wang, Weicai Wang, Jiule Li, Guangjian Wu, Lin Bai, Fan Zhang, and Tandong Yao
Nat. Hazards Earth Syst. Sci., 23, 3015–3029, https://doi.org/10.5194/nhess-23-3015-2023, https://doi.org/10.5194/nhess-23-3015-2023, 2023
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We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.
Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi
Nat. Hazards Earth Syst. Sci., 23, 2937–2959, https://doi.org/10.5194/nhess-23-2937-2023, https://doi.org/10.5194/nhess-23-2937-2023, 2023
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Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023, https://doi.org/10.5194/nhess-23-2895-2023, 2023
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Oftentimes when objective measurements are not possible, human estimates are used instead. In our study, we investigate the reproducibility of human judgement for size estimates, the mappings of avalanches from oblique photographs and remotely sensed imagery. The variability that we found in those estimates is worth considering as it may influence results and should be kept in mind for several applications.
Gerardo Romano, Marco Antonellini, Domenico Patella, Agata Siniscalchi, Andrea Tallarico, Simona Tripaldi, and Antonello Piombo
Nat. Hazards Earth Syst. Sci., 23, 2719–2735, https://doi.org/10.5194/nhess-23-2719-2023, https://doi.org/10.5194/nhess-23-2719-2023, 2023
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The Nirano Salse (northern Apennines, Italy) is characterized by several active mud vents and hosts thousands of visitors every year. New resistivity models describe the area down to 250 m, improving our geostructural knowledge of the area and giving useful indications for a better understanding of mud volcano dynamics and for the better planning of safer tourist access to the area.
Harry Podschwit, William Jolly, Ernesto Alvarado, Andrea Markos, Satyam Verma, Sebastian Barreto-Rivera, Catherine Tobón-Cruz, and Blanca Ponce-Vigo
Nat. Hazards Earth Syst. Sci., 23, 2607–2624, https://doi.org/10.5194/nhess-23-2607-2023, https://doi.org/10.5194/nhess-23-2607-2023, 2023
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We developed a model of fire spread that assumes that fire spreads in all directions at a constant speed and is extinguished at a constant rate. The model was fitted to 1003 fires in Peru between 2001 and 2020 using satellite burned area data from the GlobFire project. We fitted statistical models that predicted the spread and extinguish rates based on weather and land cover variables and found that these variables were good predictors of the spread and extinguish rates.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
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All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Caili Zhong, Sibo Cheng, Matthew Kasoar, and Rossella Arcucci
Nat. Hazards Earth Syst. Sci., 23, 1755–1768, https://doi.org/10.5194/nhess-23-1755-2023, https://doi.org/10.5194/nhess-23-1755-2023, 2023
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This paper introduces a digital twin fire model using machine learning techniques to improve the efficiency of global wildfire predictions. The proposed model also manages to efficiently adjust the prediction results thanks to data assimilation techniques. The proposed digital twin runs 500 times faster than the current state-of-the-art physics-based model.
Abby Morgan, Pascal Haegeli, Henry Finn, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 23, 1719–1742, https://doi.org/10.5194/nhess-23-1719-2023, https://doi.org/10.5194/nhess-23-1719-2023, 2023
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The avalanche danger scale is a critical component for communicating the severity of avalanche hazard conditions to the public. We examine how backcountry recreationists in North America understand and use the danger scale for planning trips into the backcountry. Our results provide an important user perspective on the strengths and weaknesses of the existing scale and highlight opportunities for future improvements.
Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel
Nat. Hazards Earth Syst. Sci., 23, 361–373, https://doi.org/10.5194/nhess-23-361-2023, https://doi.org/10.5194/nhess-23-361-2023, 2023
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This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
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Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Bastian Bergfeld, Alec van Herwijnen, Grégoire Bobillier, Philipp L. Rosendahl, Philipp Weißgraeber, Valentin Adam, Jürg Dual, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 23, 293–315, https://doi.org/10.5194/nhess-23-293-2023, https://doi.org/10.5194/nhess-23-293-2023, 2023
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For a slab avalanche to release, the snowpack must facilitate crack propagation over large distances. Field measurements on crack propagation at this scale are very scarce. We performed a series of experiments, up to 10 m long, over a period of 10 weeks. Beside the temporal evolution of the mechanical properties of the snowpack, we found that crack speeds were highest for tests resulting in full propagation. Based on these findings, an index for self-sustained crack propagation is proposed.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022, https://doi.org/10.5194/nhess-22-4103-2022, 2022
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In this article, we propose an equivalent hazard magnitude scale and a method to evaluate and compare the strengths of natural hazard events across different hazard types, including earthquakes, tsunamis, floods, droughts, forest fires, tornadoes, cold waves, heat waves, and tropical cyclones. With our method, we determine that both the February 2021 North American cold wave event and Hurricane Harvey in 2017 were equivalent to a magnitude 7.5 earthquake in hazard strength.
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022, https://doi.org/10.5194/nhess-22-4039-2022, 2022
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Models are needed to understand and predict pollutant output from forest fires so fire agencies can reduce smoke-related risks to human health. We modelled air quality (PM2.5) based on fire area and weather variables. We found fire area and boundary layer height were influential on predictions, with distance, temperature, wind speed and relative humidity also important. The models predicted reasonably accurately in comparison to other existing methods but would benefit from further development.
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022, https://doi.org/10.5194/nhess-22-4019-2022, 2022
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Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, https://doi.org/10.5194/nhess-22-3917-2022, 2022
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Assessing landscape wildfire connectivity supported by wildfire spread simulations can improve fire hazard assessment and fuel management plans. Weather severity determines the degree of fuel patch connectivity and thus the potential to spread large and intense wildfires. Mapping highly connected patches in the landscape highlights patch candidates for prior fuel treatments, which ultimately will contribute to creating fire-resilient Mediterranean landscapes.
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022, https://doi.org/10.5194/nhess-22-3765-2022, 2022
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This study demonstrates how the threat of a very large outburst from a future lake can be feasibly assessed alongside that from current lakes to inform disaster risk management within a transboundary basin between Tibet and Nepal. Results show that engineering measures and early warning systems would need to be coupled with effective land use zoning and programmes to strengthen local response capacities in order to effectively reduce the risk associated with current and future outburst events.
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci., 22, 3501–3525, https://doi.org/10.5194/nhess-22-3501-2022, https://doi.org/10.5194/nhess-22-3501-2022, 2022
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Avalanches are natural hazards that threaten people and infrastructure. With climate change, avalanche activity is changing. We analysed the change in frequency and size of avalanches in the Krkonoše Mountains, Czechia, and detected important variables with machine learning tools from 1979–2020. Wet avalanches in February and March have increased, and slab avalanches have decreased and become smaller. The identified variables and their threshold levels may help in avalanche decision-making.
Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman
Nat. Hazards Earth Syst. Sci., 22, 3487–3499, https://doi.org/10.5194/nhess-22-3487-2022, https://doi.org/10.5194/nhess-22-3487-2022, 2022
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Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
John Sykes, Pascal Haegeli, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, https://doi.org/10.5194/nhess-22-3247-2022, 2022
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Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
Ivana Čavlina Tomašević, Kevin K. W. Cheung, Višnjica Vučetić, Paul Fox-Hughes, Kristian Horvath, Maja Telišman Prtenjak, Paul J. Beggs, Barbara Malečić, and Velimir Milić
Nat. Hazards Earth Syst. Sci., 22, 3143–3165, https://doi.org/10.5194/nhess-22-3143-2022, https://doi.org/10.5194/nhess-22-3143-2022, 2022
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One of the most severe and impactful urban wildfire events in Croatian history has been reconstructed and analyzed. The study identified some important meteorological influences related to the event: the synoptic conditions of the Azores anticyclone, cold front, and upper-level shortwave trough all led to the highest fire weather index in 2017. A low-level jet, locally known as bura wind that can be explained by hydraulic jump theory, was the dynamic trigger of the event.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
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Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Cited articles
Bamler, R. and Hartl, P.: Synthetic aperture radar interferometry, Inverse Problems, 14, R1–R54, https://doi.org/10.1088/0266-5611/14/4/001, 1998.
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms, IEEE T. Geosci. Remote, 40, 2375–2383, https://doi.org/10.1109/TGRS.2002.803792, 2002.
Chen, F. L., Lin, H., Li, Z., Chen, Q., and Zhou, J. M.: Interaction between permafrost and infrastructure along the Qinghai-Tibet Railway detected via jointly analysis of C- and L-band small baseline SAR interferometry, Remote Sens. Environ., 123, 532–540, https://doi.org/10.1016/j.rse.2012.04.020, 2012.
China Meteorological Data Service Centre: Observation of China surface meteorological station, available at: http://data.cma.cn/data/cdcdetail/dataCode/A.0012.0001.html, last access: 4 December 2020.
Cui, Z. D.: Land Subsidence Induced by the Engineering-Environmental Effect, Springer, Singapore, 2018.
Deutsches Zentrum für Luft- und Raumfahrt: TanDEM-X 90 m – Download Service, available at: https://sso.eoc.dlr.de/eoc/auth/login?service=https://download.geoservice.dlr.de/TDM90/files/, last access: 4 December 2020.
Du, Z. Y., Ge, L. L., Ng, H. M., and Li, X. J.: Investigation on mining subsidence over Appin-West Cliff colliery using time-series SAR interferometry, Int. J. Remote Sens., 39, 1528–1547, https://doi.org/10.1080/01431161.2017.1407501, 2018.
European Space Agency: Sentinel missions data, available at: https://scihub.copernicus.eu/, last access: 4 December 2020.
Feng, C. C., Ma, X. F., and Huang, W. F.: Analysis on land subsidence survey and trend in Heze city, in: 13th Geoscience and Technology Forum of East China, 1 November 2015, Nanchang, China, 383–387, 2015.
Ferretti, A., Prati, C., and Rocca, F.: Permanent Scatterers in SAR Interferometry, IEEE T. Geosci. Remote, 39, 8–20, https://doi.org/10.1109/36.898661, 2001.
Ferretti, A., Prati, C., and Rocca, F.: Non-linear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry, IEEE T. Geosci. Remote, 38, 2202–2212, https://doi.org/10.1109/36.868878, 2000.
Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rucci, A., and Rucci, A.: A new algorithm for processing interferometric data-stacks: squeesar, IEEE T. Geosci. Remote, 499, 3460–3470, https://doi.org/10.1109/TGRS.2011.2124465, 2011.
Fiaschi, S., Closson, D., Karaki, N. A., Pasquali, P., Riccardi, P., and Floris, M.: The complex karst dynamics of the Lisan Peninsula revealed by 25 years of DInSAR observations. Dead Sea, Jordan, ISPRS J. Photogramm. Remote Sens., 130, 358–369, https://doi.org/10.1016/j.isprsjprs.2017.06.008, 2017.
Gabriel, A. K., Goldstein, R. M., and Zebker, H. A.: Mapping Small Elevation Changes over Large Areas: Differential Radar Interferometry, J. Geophys. Res., 94, 9183–9191, https://doi.org/10.1029/JB094iB07p09183, 1989.
Geudtner, D., Torres, R., Snoeij, P., Davidson, M., and Rommen, B.: Sentinel-1 System capabilities and applications, in: Proceedings of IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2014, 13–18 July 2014, Quebec, Canada, 1457–1460, 2014.
Goel, K. and Adam, N.: High resolution differential interferometric stacking via adaptive spatial phase filtering, in: Proceedings of IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2011, 24–29 July 2011, Vancouver, Canada, 1341–1344, 2011.
Goel, K. and Adam, N.: An advanced algorithm for deformation estimation in non-urban areas, ISPRS J. Photogramm. Remote Sens., 73, 100–110, https://doi.org/10.1016/j.isprsjprs.2012.06.001, 2012.
Goodman, J. W.: Some fundamental properties of speckle, J. Opt. Soc. Am., 66,
1145–1150, https://doi.org/10.1364/JOSA.66.001145, 1976.
Guo, C. X., Nie, J. L., Tian, J., Wang, W. L., Cheng, C. L., Wang, B., Yin, H. F., and Zhang, H. P.: Vertical ground displacements in the Shandong Province derived from long-term GNSS and leveling surveying, Adv. Space Res., 64, 1388–1397, https://doi.org/10.1016/j.asr.2019.06.035, 2019.
Haghighi, M. H. and Motagh, M.: Ground surface response to continuous compaction of aquifer system in Tehran, Iran: Results from a long-term multi-sensor InSAR analysis, Remote Sens. Environ., 221, 534–550, https://doi.org/10.1016/j.rse.2018.11.003, 2019.
He, G. Q., Yang, L., Lin, G. D., Jia, F. C., and Hong, D.: Mining Subsidence
Engineering, Press China Univ. Mining Technol., Xuzhou, China, 1994.
Hooper, A.: A Multi-Temporal InSAR Method Incorporating Both Persistent Scatterer and Small Baseline Approaches, Geophys. Res. Lett., 35, L16302, https://doi.org/10.1029/2008GL034654, 2008.
Hooper, A.: A statistical-cost approach to unwrapping the phase of InSAR time series, in: Proceedings of the International Workshop on ERS SAR Interferometry, 30 November–4 December 2010, Frascati, Italy, 1–4, 2010.
Hooper, A. and Zebker, H.: Phase unwrapping in three dimensions with application to InSAR time series, J. Opt. Soc. Am., 24, 2737–2747, https://doi.org/10.1364/JOSAA.24.002737, 2007.
Hooper, A., Segall, P., and Zebker, H.: Persistent Scatterer Interferometric Synthetic Aperture Radar for Crustal Deformation Analysis, with Application to Volcán Alcedo, Galápagos, J. Geophys. Res., 112, B07407, https://doi.org/10.1029/2006JB004763, 2007.
Hu, R. L., Yue, Z. Q., Wang, L. C., and Wang, S. J.: Review on current status and challenging issues of land subsidence in China, Eng. Geol., 76, 65–77, 2004.
Islam, M. R. and Shinjo, R.: Mining-induced fault reactivation associated with the main conveyor belt roadway and safety of the Barapukuria Coal Mine in Bangladesh: Constraints from BEM simulations, Int. J. Coal Geol., 79, 115–130, https://doi.org/10.1016/j.coal.2009.06.007, 2009.
Jia, P. Y.: Investigation and evaluation of groundwater environment in Heze City, Zhihuai, 1, 83–84, 2015.
Kampes, B.: Radar Interferometry: Persistent Scatterer Technique, Springer Netherlands, the Netherlands, 2006.
Litwiniszyn, J.: Application of the equation of stochastic processes to mechanics of loose bodies, Arch. Mech., 8, 393–411, 1956.
Ma, L. and Feng, C. C.: Analysis on sustainable utilization and exploitation
potentiality of shallow groundwater resources in Heze Yellow River flood plain areas, Shandong Land Resour., 30, 43–45, 2014.
Massonnet, D. and Feigl, K.: Radar interferometry and its application to changes in the Earth surface, Rev. Geophys., 36, 441–5000, https://doi.org/10.1029/97RG03139, 1998.
Miller, M. M. and Shirzaei, M.: Land subsidence in Houston correlated with flooding from Hurricane Harvey, Remote Sens. Environ., 225, 368–378, https://doi.org/10.1016/j.rse.2019.03.022, 2019.
Mora, O., Mallorqui, J. J., and Broquetas, A.: Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images, IEEE T. Geosci. Remote, 41, 2243–2253, https://doi.org/10.1109/TGRS.2003.814657, 2003.
Motagh, M., Shamshiri, R., Haghighi, M. H., Wetzel, H. U., Akbari, B., Nahavandchi, H., Roessner, S. and Arabi, S.: Quantifying groundwater exploitation induced subsidence in the Rafsanjan plain, southeastern Iran, using InSAR time-series and in situ measurements, Eng. Geol., 218, 134–151, https://doi.org/10.1016/j.enggeo.2017.01.011, 2017.
Parizzi, A. and Brcic, R.: Adaptive InSAR Stack Multilooking Exploiting Amplitude Statistics: A Comparison Between Different Techniques and Practical Results, IEEE Geosci. Remote Sens. Lett., 8, 441–445, https://doi.org/10.1109/LGRS.2010.2083631, 2011.
Prats-Iraola, P., Scheiber, R., Marotti, L., Wollstadt, S., and Reigber, A.: TOPS Interferometry With TerraSAR-X, IEEE T. Geosci. Remote, 50, 3179–3188,
https://doi.org/10.1109/TGRS.2011.2178247, 2012.
Qiao, G. and Lin, H. J.: Evaluation and analysis of deep groundwater in Heze City, Shandong Water Resour., 8, 99–100, 2006.
Rapantova, N., Grmela, A., Vojtek, D., Halir, J., and Michalek, B.: Groundwater flow modeling applications in mining hydrogeology, in: IMWA Symposium 2007: Water in Mining Environments, 27–31 May 2007, Cagilari, Italy, 349–353, 2007.
Samiei-Esfahany, S.: Exploition of distributed scatterers in synthetic aperture radar interferometry, PhD thesis, Delft University of Technology, Delft, the Netherlands, 2017.
Shamshiri, R., Nahavandchi, H., Motagh, M., and Hooper, A.: Efficient ground surface displacement monitoring using sentinel-1 data: integrating distributed scatterers (DS) identified using two-sample t-test with persistent scatterers (PS), Remote Sens., 10, 794, https://doi.org/10.3390/rs10050794, 2018.
Shandong Provincial Bureau of Statistics: Shandong Statistical Yearbook, Beijing, China Statistics Press, China, 2010–2019, available at: http://tjj.shandong.gov.cn/, last access: 4 December 2020.
Sousa, J. J., Hooper, A. J., Hanssen, R. F., Bastos, L. C., and Ruiz, A. M.: Persistent Scatterer InSAR: A comparison of methodologies based on a model of temporal deformation vs. spatial correlation selection criteria, Remote Sens. Environ., 115, 2652–2663, https://doi.org/10.1016/j.rse.2011.05.021, 2011.
Vervoort, A.: Surface movement above an underground coal longwall mine after closure, Nat. Hazards Earth Syst. Sci., 16, 2107–2121, https://doi.org/10.5194/nhess-16-2107-2016, 2016.
Wang, H. Q.: Mining subsidence monitoring around Longgu coal mine based on remote sensing, Adv. Mater. Res., 1010–1012, 489–495,
https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.489, 2014.
Wang, H. W., Jiang, Y. D., Xue, S., Mao, L. T., Lin, Z. N., Deng, D. X., and Zhang, D. Q.: Influence of fault slip on mining-induced pressure and optimization of roadway support design in fault-influenced zone, J. Rock Mech. Geotech. Eng., 8, 660–671, https://doi.org/10.1016/j.jrmge.2016.03.005, 2016.
Wang, Y., Zhu, X. X., and Bamler, R.: Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data, ISPRS J. Photogramm. Remote Sens., 73, 89–99, https://doi.org/10.1016/j.isprsjprs.2012.06.007, 2012.
Wessel, B., Huber, M., Wohlfart, C., Marschalk, U., Kosmann, D., and Roth, A.: Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data, ISPRS J. Photogramm. Remote Sens., 139, 171–182, https://doi.org/10.1016/j.isprsjprs.2018.02.017, 2018.
Xu, J. Y., Mao, L., Zhang, T., and Wang, Z. S.: The development and utilization of water resources and security assurance planning study in Heze City, China Population, Resour. Environ., 27, 200–203, 2017.
Xu, S. Y., Zhang, Y. B., Shi, H., Wang, K., Geng, Y. P., and Chen, J. F.: Physical Simulation of Strata Failure and Its Impacton Overlying Unconsolidated Aquifer at Various Mining Depths, Water, 10, 650–667, https://doi.org/10.3390/w10050650, 2018.
Xue, Y. Q., Zhang, Y., Ye, S. J., Wu, J. C., and Li, Q. F.: Land subsidence in China, Environ. Geol., 48, 713–720, https://doi.org/10.1007/s00254-005-0010-6, 2005.
Yague-Martinez, N., Prats-Iraola, P., Rodriguez, G. F., Brcic, R., Shau, R., Geudtner, D., Eineder, M., and Bamler, R.: Interferometric Processing of Sentinel-1 TOPS Data, IEEE T. Geosci. Remote, 54, 2220–2234, https://doi.org/10.1109/TGRS.2015.2497902, 2016.
Yang, S. Y., Yang, H. C., Jing, C. Q., Yue, X. L., and Jie, J.: Comprehensive Control of the Coal Mine Subsidence Area: A Case of the Subsidence Area of Chenman Village in Heze of Shandong Province, China Population, Resour. Environ., 20, 194–196, 2010.
Yu, C. J., Jia, P. Y., Lv, S. G., Yuan, X. A., and Zang, X. L.: Analysis of shallow groundwater in Heze city, Shandong Water Resour., 4, 14–15, 2001.
Yue, J. G.: Analysis on the current situation and causes of land subsidence along the Lunan high speed railway, Rail. Inv. Survey., 2, 60–65, 2020.
Zhang, H., Dong, M., Ma, J., Liu, Y. H., and Liu, K.: Relationship between the deep groundwater exploitation and land subsidence in Changyi district of Shandong province, China Earthq. Eng. J., 40, 214–218, 2018.
Zhang, L. L.: Study on land subsidence prevention and control along the Jingjiu Railway (Shandong Section), PhD thesis, China University of Geosciences (Beijing), Beijing, China, 2013.
Zhang, Q., Li, Y., Zhang, J., and Luo, Y.: InSAR technique applied to the monitoring of the Qinghai–Tibet Railway, Nat. Hazards Earth Syst. Sci., 19, 2229–2240, https://doi.org/10.5194/nhess-19-2229-2019, 2019.
Zhang, Y. H., Underschultz, J., Langhi, L., Mallants, D., and Strand, J.: Numerical modelling of coal seam depressurization during coal seam gas production and its effect on the geomechanical stability of faults and coal beds, Int. J. Coal Geol., 195, 1–13, https://doi.org/10.1016/j.coal.2018.05.008, 2018.
Zhu, C. G., Wang, Z. S., Li, P. X., Motagh, M., Zhang, L. Y., Jiang, Z. L., and Long, S. C.: Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 13, 1206–1217, https://doi.org/10.1109/JSTARS.2020.2978288, 2020.
Short summary
We investigate the contemporary ground deformation along the RLHR-HZ using Sentinel-1 data and find that the RLHR-HZ runs through two main subsidence areas. A total length of 35 km of the RLSR-HZ is affected by the two subsidence basins. Considering the previous investigation coupled with information on human activities, we conclude that the subsidence is mainly caused by extraction of groundwater and underground mining.
We investigate the contemporary ground deformation along the RLHR-HZ using Sentinel-1 data and...
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