Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3291-2024
© Author(s) 2024. 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-24-3291-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region
Wolfgang Schwanghart
CORRESPONDING AUTHOR
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam-Golm, Germany
Ankit Agarwal
Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667 Uttarakhand, India
Kristen Cook
ISTerre, IRD, Grenoble Alpes University, Grenoble, France
Ugur Ozturk
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam-Golm, Germany
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany
Roopam Shukla
Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, 247667 Uttarakhand, India
Sven Fuchs
Department of Civil Engineering and Natural Hazards, BOKU University, 1190 Vienna, Austria
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Short summary
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Abhishek Kashyap, Mukunda Dev Behera, Anand Kumar Pandey, and Ankit Agarwal
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Preprint archived
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Short summary
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Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Ugur Ozturk, Jürgen Kurths, and Bruno Merz
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In the climate/hydrology network, each node represents a geographical location of climatological data, and links between nodes are set up based on their interaction or similar variability. Here, using network theory, we first generate a node-ranking measure and then prioritize the rain gauges to identify influential and expandable stations across Germany. To show the applicability of the proposed approach, we also compared the results with existing traditional and contemporary network measures.
Dirk Scherler and Wolfgang Schwanghart
Earth Surf. Dynam., 8, 245–259, https://doi.org/10.5194/esurf-8-245-2020, https://doi.org/10.5194/esurf-8-245-2020, 2020
Short summary
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Drainage divides are believed to provide clues about divide migration and the instability of landscapes. Here, we present a novel approach to extract drainage divides from digital elevation models and to order them in a drainage divide network. We present our approach by studying natural and artificial landscapes generated with a landscape evolution model and disturbed to induce divide migration.
Dirk Scherler and Wolfgang Schwanghart
Earth Surf. Dynam., 8, 261–274, https://doi.org/10.5194/esurf-8-261-2020, https://doi.org/10.5194/esurf-8-261-2020, 2020
Short summary
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Drainage divides are believed to provide clues about divide migration and the instability of landscapes. Here, we present a novel approach to extract drainage divides from digital elevation models and to order them in a drainage divide network. We present our approach by studying natural and artificial landscapes generated with a landscape evolution model and disturbed to induce divide migration.
Kristen L. Cook and Michael Dietze
Earth Surf. Dynam., 7, 1009–1017, https://doi.org/10.5194/esurf-7-1009-2019, https://doi.org/10.5194/esurf-7-1009-2019, 2019
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UAVs have become popular tools for detecting topographic changes. Traditionally, detecting small amounts of change between two UAV surveys requires each survey to be highly accurate. We take an alternative approach and present a simple processing workflow that produces survey pairs or sets that are highly consistent with each other, even when the overall accuracy is relatively low. This greatly increases our ability to detect changes in settings where ground control is not possible.
Jürgen Kurths, Ankit Agarwal, Roopam Shukla, Norbert Marwan, Maheswaran Rathinasamy, Levke Caesar, Raghavan Krishnan, and Bruno Merz
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We show the landslide response to the 2016 Kumamoto earthquake (Mw 7.1) in central Kyushu (Japan). Landslides are concentrated to the northeast of the rupture, coinciding with the propagation direction of the earthquake. This azimuthal variation in the landslide concentration is linked to the seismic rupture process itself and not to classical landslide susceptibility factors. We propose a new ground-motion model that links the seismic radiation pattern with the landslide distribution.
Matthias Schlögl, Gerald Richter, Michael Avian, Thomas Thaler, Gerhard Heiss, Gernot Lenz, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 19, 201–219, https://doi.org/10.5194/nhess-19-201-2019, https://doi.org/10.5194/nhess-19-201-2019, 2019
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Landslides are destructive events, threatening the integrity of land transport systems. This paper presents how road networks are vulnerable to landslides, with emphasis on the consequences for affected road users. Results show the merits of using agent-based traffic modelling to assess the impacts of road network interruptions on rural communities by providing insights into the characteristics of the population affected and the effects on its daily routine in terms of detour costs.
Christopher J. Skinner, Tom J. Coulthard, Wolfgang Schwanghart, Marco J. Van De Wiel, and Greg Hancock
Geosci. Model Dev., 11, 4873–4888, https://doi.org/10.5194/gmd-11-4873-2018, https://doi.org/10.5194/gmd-11-4873-2018, 2018
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Landscape evolution models are computer models used to understand how the Earth’s surface changes over time. Although designed to look at broad changes over very long time periods, they could potentially be used to predict smaller changes over shorter periods. However, to do this we need to better understand how the models respond to changes in their set-up – i.e. their behaviour. This work presents a method which can be applied to these models in order to better understand their behaviour.
Wolfgang Schwanghart and Dirk Scherler
Earth Surf. Dynam., 5, 821–839, https://doi.org/10.5194/esurf-5-821-2017, https://doi.org/10.5194/esurf-5-821-2017, 2017
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River profiles derived from digital elevation models are affected by errors. Here we present two new algorithms – quantile carving and the CRS algorithm – to hydrologically correct river profiles. Both algorithms preserve the downstream decreasing shape of river profiles, while CRS additionally smooths profiles to avoid artificial steps. Our algorithms are able to cope with the problems of overestimation and asymmetric error distributions.
Michael Dietze, Jens M. Turowski, Kristen L. Cook, and Niels Hovius
Earth Surf. Dynam., 5, 757–779, https://doi.org/10.5194/esurf-5-757-2017, https://doi.org/10.5194/esurf-5-757-2017, 2017
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Rockfall is an essential geomorphic process and a hazard in steep landscapes which is hard to constrain with traditional approaches. Seismic methods allow for the detection, location, characterisation and linking of events to triggers by lag times. This new technique reveals 49 rockfalls in 6 months with seasonally varying locations. Freeze–thaw action accounts for only 5 events, whereas 19 rockfalls were caused by rain with a 1 h peak lag time, and 17 events were due to diurnal thermal forcing.
Sven Fuchs, Margreth Keiler, and Thomas Glade
Nat. Hazards Earth Syst. Sci., 17, 1203–1206, https://doi.org/10.5194/nhess-17-1203-2017, https://doi.org/10.5194/nhess-17-1203-2017, 2017
Sven Fuchs, Konstantinos Karagiorgos, Kyriaki Kitikidou, Fotios Maris, Spyridon Paparrizos, and Thomas Thaler
Hydrol. Earth Syst. Sci., 21, 3183–3198, https://doi.org/10.5194/hess-21-3183-2017, https://doi.org/10.5194/hess-21-3183-2017, 2017
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Flood risk management often overlooks public perception of the hazard, and, therefore, many risk management plans have failed. This paper examines the private adaptation capacity and willingness with respect to flood hazards as one reason for this failure. Based on the results of our case studies in Greece, key issues to be addressed were identified and improvements are being recommended for the social dimension surrounding the implementation of flood risk management plans.
Benjamin Campforts, Wolfgang Schwanghart, and Gerard Govers
Earth Surf. Dynam., 5, 47–66, https://doi.org/10.5194/esurf-5-47-2017, https://doi.org/10.5194/esurf-5-47-2017, 2017
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Despite a growing interest in landscape evolution models, accuracy assessment of the numerical methods they are based on has received little attention. We test a higher-order flux-limiting finite-volume method to simulate river incision and tectonic displacement. We show that this scheme significantly influences the evolution of simulated landscapes and the spatial and temporal variability of erosion rates. Moreover, it allows for the simulation of lateral tectonic displacement on a fixed grid.
S. Fuchs, M. Keiler, and A. Zischg
Nat. Hazards Earth Syst. Sci., 15, 2127–2142, https://doi.org/10.5194/nhess-15-2127-2015, https://doi.org/10.5194/nhess-15-2127-2015, 2015
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A spatially explicit object-based temporal assessment of buildings and citizens exposed to natural hazards in Austria is presented, including elements at risk of river flooding, torrential flooding, and snow avalanches. It is shown that the repeatedly stated assumption of increasing losses due to continued population growth and related increase in assets has to be opposed to the local development of building stock, which is spatially and temporally variable.
N. K. Meyer, W. Schwanghart, O. Korup, and F. Nadim
Nat. Hazards Earth Syst. Sci., 15, 985–995, https://doi.org/10.5194/nhess-15-985-2015, https://doi.org/10.5194/nhess-15-985-2015, 2015
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In the past decades the importance of and reliance on all kinds of transport networks has grown extensively making them more vulnerable to any kind of hazard. The linear structure of road networks is especially sensitive to debris flows, a process frequently occurring in the mountainous area of Norway. The paper quantifies the functional risk associated with these processes. The results reveal that the costs related to route closures are strongly related to the information status of drivers.
C. C. Clason, D. W. F. Mair, P. W. Nienow, I. D. Bartholomew, A. Sole, S. Palmer, and W. Schwanghart
The Cryosphere, 9, 123–138, https://doi.org/10.5194/tc-9-123-2015, https://doi.org/10.5194/tc-9-123-2015, 2015
B. Mazzorana, S. Simoni, C. Scherer, B. Gems, S. Fuchs, and M. Keiler
Hydrol. Earth Syst. Sci., 18, 3817–3836, https://doi.org/10.5194/hess-18-3817-2014, https://doi.org/10.5194/hess-18-3817-2014, 2014
W. Schwanghart and D. Scherler
Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, https://doi.org/10.5194/esurf-2-1-2014, 2014
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Short summary
The Himalayan landscape is particularly susceptible to extreme events, which interfere with increasing populations and the expansion of settlements and infrastructure. This preface introduces and summarizes the nine papers that are part of the special issue,
Estimating and predicting natural hazards and vulnerabilities in the Himalayan region.
The Himalayan landscape is particularly susceptible to extreme events, which interfere with...
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