TY - JOUR A1 - Dietze, Elisabeth A1 - Slowinski, Michal A1 - Zawiska, Izabela A1 - Veh, Georg A1 - Brauer, Achim T1 - Multiple drivers of Holocene lake level changes at a lowland lake in northeastern Germany JF - Boreas N2 - Many German lakes experienced significant water level declines in recent decades that are not fully understood due to the short observation period. At a typical northeastern German groundwater-fed lake with a complex basin morphology, an acoustic sub-bottom profile was analysed together with a transect of five sediment cores, which were correlated using multiple proxies (sediment facies, -XRF, macrofossils, subfossil Cladocera). Shifts in the boundary between sand and mud deposition were controlled by lake level changes, and hence, allowed the quantification of an absolute lake level amplitude of similar to 8m for the Holocene. This clearly exceeded observed modern fluctuations of 1.3m (AD 1973-2010). Past lake level changes were traced continuously using the calcium-record. During high lake levels, massive organic muds were deposited in the deepest lake basin, whereas lower lake levels isolated the sub-basins and allowed carbonate deposition. During the beginning of the Holocene (>9700cal. a BP), lake levels were high, probably due to final melting of permafrost and dead-ice remains. The establishment of water-use intensive Pinus forests caused generally low (3-4m below modern) but fluctuating lake levels (9700-6400cal. a BP). Afterwards, the lake showed an increasing trend and reached a short-term highstand at c.5000cal. a BP (4m above modern). At the transition towards a cooler and wetter late Holocene, forests dominated by Quercus and Fagus and initial human impact probably contributed more positively to groundwater recharge. Lake levels remained high between 3800 and 800cal. a BP, but the lake system was not sensitive enough to record short-term fluctuations during this period. Lake level changes were recorded again when humans profoundly affected the drainage system, land cover and lake trophy. Hence, local Holocene water level changes reflect feedbacks between catchment and vegetation characteristics and human impact superimposed by climate change at multiple temporal scales. Y1 - 2016 U6 - https://doi.org/10.1111/bor.12190 SN - 0300-9483 SN - 1502-3885 VL - 45 SP - 828 EP - 845 PB - Wiley-Blackwell CY - Hoboken ER - TY - GEN A1 - Fischer, Melanie A1 - Korup, Oliver A1 - Veh, Georg A1 - Walz, Ariane T1 - Controls of outbursts of moraine-dammed lakes in the greater Himalayan region T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Glacial lakes in the Hindu Kush–Karakoram–Himalayas–Nyainqentanglha (HKKHN) region have grown rapidly in number and area in past decades, and some dozens have drained in catastrophic glacial lake outburst floods (GLOFs). Estimating regional susceptibility of glacial lakes has largely relied on qualitative assessments by experts, thus motivating a more systematic and quantitative appraisal. Before the backdrop of current climate-change projections and the potential of elevation-dependent warming, an objective and regionally consistent assessment is urgently needed. We use an inventory of 3390 moraine-dammed lakes and their documented outburst history in the past four decades to test whether elevation, lake area and its rate of change, glacier-mass balance, and monsoonality are useful inputs to a probabilistic classification model. We implement these candidate predictors in four Bayesian multi-level logistic regression models to estimate the posterior susceptibility to GLOFs. We find that mostly larger lakes have been more prone to GLOFs in the past four decades regardless of the elevation band in which they occurred. We also find that including the regional average glacier-mass balance improves the model classification. In contrast, changes in lake area and monsoonality play ambiguous roles. Our study provides first quantitative evidence that GLOF susceptibility in the HKKHN scales with lake area, though less so with its dynamics. Our probabilistic prognoses offer improvement compared to a random classification based on average GLOF frequency. Yet they also reveal some major uncertainties that have remained largely unquantified previously and that challenge the applicability of single models. Ensembles of multiple models could be a viable alternative for more accurately classifying the susceptibility of moraine-dammed lakes to GLOFs. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1160 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-522050 SN - 1866-8372 ER - TY - JOUR A1 - Fischer, Melanie A1 - Korup, Oliver A1 - Veh, Georg A1 - Walz, Ariane T1 - Controls of outbursts of moraine-dammed lakes in the greater Himalayan region JF - The Cryosphere N2 - Glacial lakes in the Hindu Kush–Karakoram–Himalayas–Nyainqentanglha (HKKHN) region have grown rapidly in number and area in past decades, and some dozens have drained in catastrophic glacial lake outburst floods (GLOFs). Estimating regional susceptibility of glacial lakes has largely relied on qualitative assessments by experts, thus motivating a more systematic and quantitative appraisal. Before the backdrop of current climate-change projections and the potential of elevation-dependent warming, an objective and regionally consistent assessment is urgently needed. We use an inventory of 3390 moraine-dammed lakes and their documented outburst history in the past four decades to test whether elevation, lake area and its rate of change, glacier-mass balance, and monsoonality are useful inputs to a probabilistic classification model. We implement these candidate predictors in four Bayesian multi-level logistic regression models to estimate the posterior susceptibility to GLOFs. We find that mostly larger lakes have been more prone to GLOFs in the past four decades regardless of the elevation band in which they occurred. We also find that including the regional average glacier-mass balance improves the model classification. In contrast, changes in lake area and monsoonality play ambiguous roles. Our study provides first quantitative evidence that GLOF susceptibility in the HKKHN scales with lake area, though less so with its dynamics. Our probabilistic prognoses offer improvement compared to a random classification based on average GLOF frequency. Yet they also reveal some major uncertainties that have remained largely unquantified previously and that challenge the applicability of single models. Ensembles of multiple models could be a viable alternative for more accurately classifying the susceptibility of moraine-dammed lakes to GLOFs. Y1 - 2020 U6 - https://doi.org/10.5194/tc-15-4145-2021 SN - 1994-0416 VL - 15 PB - Copernicus Publications CY - Göttingen ER - TY - JOUR A1 - Veh, Georg A1 - Korup, Oliver A1 - Roessner, Sigrid A1 - Walz, Ariane T1 - Detecting Himalayan glacial lake outburst floods from Landsat time series JF - Remote sensing of environment : an interdisciplinary journal N2 - Several thousands of moraine-dammed and supraglacial lakes spread over the Hindu Kush Himalayan (HKH) region, and some have grown rapidly in past decades due to glacier retreat. The sudden emptying of these lakes releases large volumes of water and sediment in destructive glacial lake outburst floods (GLOFs), one of the most publicised natural hazards to the rapidly growing Himalayan population. Despite the growing number and size of glacial lakes, the frequency of documented GLOFs is remarkably constant. We explore this possible reporting bias and offer a new processing chain for establishing a more complete Himalayan GLOF inventory. We make use of the full seasonal archive of Landsat images between 1988 and 2016, and track automatically where GLOFs left shrinking water bodies, and tails of sediment at high elevations. We trained a Random Forest classifier to generate fuzzy land cover maps for 2491 images, achieving overall accuracies of 91%. We developed a likelihood-based change point technique to estimate the timing of GLOFs at the pixel scale. Our method objectively detected ten out of eleven documented GLOFs, and another ten lakes that gave rise to previously unreported GLOFs. We thus nearly doubled the existing GLOF record for a study area covering similar to 10% of the HKH region. Remaining challenges for automatically detecting GLOFs include image insufficiently accurate co-registration, misclassifications in the land cover maps and image noise from clouds, shadows or ice. Yet our processing chain is robust and has the potential for being applied on the greater HKH and mountain ranges elsewhere, opening the door for objectively expanding the knowledge base on GLOF activity over the past three decades. KW - Random Forest KW - Fuzzy classification KW - Land cover maps KW - Change detection KW - Change points KW - Lakes KW - Sediment tails KW - Hindu Kush Himalayas (HKH) Y1 - 2018 U6 - https://doi.org/10.1016/j.rse.2017.12.025 SN - 0034-4257 SN - 1879-0704 VL - 207 SP - 84 EP - 97 PB - Elsevier CY - New York ER - TY - JOUR A1 - Veh, Georg A1 - Korup, Oliver A1 - Walz, Ariane T1 - Hazard from Himalayan glacier lake outburst floods JF - Proceedings of the National Academy of Sciences of the United States of America : PNAS N2 - Sustained glacier melt in the Himalayas has gradually spawned more than 5,000 glacier lakes that are dammed by potentially unstable moraines. When such dams break, glacier lake outburst floods (GLOFs) can cause catastrophic societal and geomorphic impacts. We present a robust probabilistic estimate of average GLOFs return periods in the Himalayan region, drawing on 5.4 billion simulations. We find that the 100-y outburst flood has an average volume of 33.5(+3.7)/(-3.7) x 10(6) m(3) (posterior mean and 95% highest density interval [HDI]) with a peak discharge of 15,600(+2.000)/(-1,800) m(3).S-1. Our estimated GLOF hazard is tied to the rate of historic lake outbursts and the number of present lakes, which both are highest in the Eastern Himalayas. There, the estimated 100-y GLOF discharge (similar to 14,500 m(3).s(-1)) is more than 3 times that of the adjacent Nyainqentanglha Mountains, and at least an order of magnitude higher than in the Hindu Kush, Karakoram, and Western Himalayas. The GLOF hazard may increase in these regions that currently have large glaciers, but few lakes, if future projected ice loss generates more unstable moraine-dammed lakes than we recognize today. Flood peaks from GLOFs mostly attenuate within Himalayan headwaters, but can rival monsoon-fed discharges in major rivers hundreds to thousands of kilometers downstream. Projections of future hazard from meteorological floods need to account for the extreme runoffs during lake outbursts, given the increasing trends in population, infrastructure, and hydropower projects in Himalayan headwaters. KW - atmospheric warming KW - meltwater lakes KW - GLOF KW - extreme-value statistics KW - Bayesian modeling Y1 - 2019 U6 - https://doi.org/10.1073/pnas.1914898117 SN - 0027-8424 VL - 117 IS - 2 SP - 907 EP - 912 PB - National Academy of Sciences CY - Washington ER - TY - GEN A1 - Veh, Georg A1 - Lützow, Natalie A1 - Kharlamova, Varvara A1 - Petrakov, Dmitry A1 - Hugonnet, Romain A1 - Korup, Oliver T1 - Trends, Breaks, and Biases in the Frequency of Reported Glacier Lake Outburst Floods T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Thousands of glacier lakes have been forming behind natural dams in high mountains following glacier retreat since the early 20th century. Some of these lakes abruptly released pulses of water and sediment with disastrous downstream consequences. Yet it remains unclear whether the reported rise of these glacier lake outburst floods (GLOFs) has been fueled by a warming atmosphere and enhanced meltwater production, or simply a growing research effort. Here we estimate trends and biases in GLOF reporting based on the largest global catalog of 1,997 dated glacier-related floods in six major mountain ranges from 1901 to 2017. We find that the positive trend in the number of reported GLOFs has decayed distinctly after a break in the 1970s, coinciding with independently detected trend changes in annual air temperatures and in the annual number of field-based glacier surveys (a proxy of scientific reporting). We observe that GLOF reports and glacier surveys decelerated, while temperature rise accelerated in the past five decades. Enhanced warming alone can thus hardly explain the annual number of reported GLOFs, suggesting that temperature-driven glacier lake formation, growth, and failure are weakly coupled, or that outbursts have been overlooked. Indeed, our analysis emphasizes a distinct geographic and temporal bias in GLOF reporting, and we project that between two to four out of five GLOFs on average might have gone unnoticed in the early to mid-20th century. We recommend that such biases should be considered, or better corrected for, when attributing the frequency of reported GLOFs to atmospheric warming. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1264 Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-561005 SN - 1866-8372 SP - 1 EP - 14 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Veh, Georg A1 - Lützow, Natalie A1 - Kharlamova, Varvara A1 - Petrakov, Dmitry A1 - Hugonnet, Romain A1 - Korup, Oliver T1 - Trends, Breaks, and Biases in the Frequency of Reported Glacier Lake Outburst Floods JF - Earth's Future N2 - Thousands of glacier lakes have been forming behind natural dams in high mountains following glacier retreat since the early 20th century. Some of these lakes abruptly released pulses of water and sediment with disastrous downstream consequences. Yet it remains unclear whether the reported rise of these glacier lake outburst floods (GLOFs) has been fueled by a warming atmosphere and enhanced meltwater production, or simply a growing research effort. Here we estimate trends and biases in GLOF reporting based on the largest global catalog of 1,997 dated glacier-related floods in six major mountain ranges from 1901 to 2017. We find that the positive trend in the number of reported GLOFs has decayed distinctly after a break in the 1970s, coinciding with independently detected trend changes in annual air temperatures and in the annual number of field-based glacier surveys (a proxy of scientific reporting). We observe that GLOF reports and glacier surveys decelerated, while temperature rise accelerated in the past five decades. Enhanced warming alone can thus hardly explain the annual number of reported GLOFs, suggesting that temperature-driven glacier lake formation, growth, and failure are weakly coupled, or that outbursts have been overlooked. Indeed, our analysis emphasizes a distinct geographic and temporal bias in GLOF reporting, and we project that between two to four out of five GLOFs on average might have gone unnoticed in the early to mid-20th century. We recommend that such biases should be considered, or better corrected for, when attributing the frequency of reported GLOFs to atmospheric warming. Y1 - 2022 U6 - https://doi.org/10.1029/2021EF002426 SN - 2328-4277 VL - 10 SP - 1 EP - 14 PB - Wiley-Blackwell CY - Hoboken, New Jersey, United States ET - 3 ER - TY - THES A1 - Veh, Georg T1 - Outburst floods from moraine-dammed lakes in the Himalayas T1 - Ausbruchsfluten von moränen-gestauten Seen im Himalaya BT - detection, frequency, and hazard BT - Erkennung, Häufigkeit, und Gefährdung N2 - The Himalayas are a region that is most dependent, but also frequently prone to hazards from changing meltwater resources. This mountain belt hosts the highest mountain peaks on earth, has the largest reserve of ice outside the polar regions, and is home to a rapidly growing population in recent decades. One source of hazard has attracted scientific research in particular in the past two decades: glacial lake outburst floods (GLOFs) occurred rarely, but mostly with fatal and catastrophic consequences for downstream communities and infrastructure. Such GLOFs can suddenly release several million cubic meters of water from naturally impounded meltwater lakes. Glacial lakes have grown in number and size by ongoing glacial mass losses in the Himalayas. Theory holds that enhanced meltwater production may increase GLOF frequency, but has never been tested so far. The key challenge to test this notion are the high altitudes of >4000 m, at which lakes occur, making field work impractical. Moreover, flood waves can attenuate rapidly in mountain channels downstream, so that many GLOFs have likely gone unnoticed in past decades. Our knowledge on GLOFs is hence likely biased towards larger, destructive cases, which challenges a detailed quantification of their frequency and their response to atmospheric warming. Robustly quantifying the magnitude and frequency of GLOFs is essential for risk assessment and management along mountain rivers, not least to implement their return periods in building design codes. Motivated by this limited knowledge of GLOF frequency and hazard, I developed an algorithm that efficiently detects GLOFs from satellite images. In essence, this algorithm classifies land cover in 30 years (~1988–2017) of continuously recorded Landsat images over the Himalayas, and calculates likelihoods for rapidly shrinking water bodies in the stack of land cover images. I visually assessed such detected tell-tale sites for sediment fans in the river channel downstream, a second key diagnostic of GLOFs. Rigorous tests and validation with known cases from roughly 10% of the Himalayas suggested that this algorithm is robust against frequent image noise, and hence capable to identify previously unknown GLOFs. Extending the search radius to the entire Himalayan mountain range revealed some 22 newly detected GLOFs. I thus more than doubled the existing GLOF count from 16 previously known cases since 1988, and found a dominant cluster of GLOFs in the Central and Eastern Himalayas (Bhutan and Eastern Nepal), compared to the rarer affected ranges in the North. Yet, the total of 38 GLOFs showed no change in the annual frequency, so that the activity of GLOFs per unit glacial lake area has decreased in the past 30 years. I discussed possible drivers for this finding, but left a further attribution to distinct GLOF-triggering mechanisms open to future research. This updated GLOF frequency was the key input for assessing GLOF hazard for the entire Himalayan mountain belt and several subregions. I used standard definitions in flood hydrology, describing hazard as the annual exceedance probability of a given flood peak discharge [m3 s-1] or larger at the breach location. I coupled the empirical frequency of GLOFs per region to simulations of physically plausible peak discharges from all existing ~5,000 lakes in the Himalayas. Using an extreme-value model, I could hence calculate flood return periods. I found that the contemporary 100-year GLOF discharge (the flood level that is reached or exceeded on average once in 100 years) is 20,600+2,200/–2,300 m3 s-1 for the entire Himalayas. Given the spatial and temporal distribution of historic GLOFs, contemporary GLOF hazard is highest in the Eastern Himalayas, and lower for regions with rarer GLOF abundance. I also calculated GLOF hazard for some 9,500 overdeepenings, which could expose and fill with water, if all Himalayan glaciers have melted eventually. Assuming that the current GLOF rate remains unchanged, the 100-year GLOF discharge could double (41,700+5,500/–4,700 m3 s-1), while the regional GLOF hazard may increase largest in the Karakoram. To conclude, these three stages–from GLOF detection, to analysing their frequency and estimating regional GLOF hazard–provide a framework for modern GLOF hazard assessment. Given the rapidly growing population, infrastructure, and hydropower projects in the Himalayas, this thesis assists in quantifying the purely climate-driven contribution to hazard and risk from GLOFs. N2 - In kaum einer anderen Region treten Abhängigkeit, Nutzen und Gefährdung von Gletscher- und Schneeschmelze so deutlich zu Tage wie im Himalaya. Naturgefahren sind hier allgegenwärtig, wobei eine die Wissenschaftler in den vergangen zwei Jahrzehnten besonders beschäftigte: Ausbrüche von Gletscherseen traten in der Vergangenheit zwar selten, aber meist mit katastrophalen Konsequenzen für die darunterliegenden Berggemeinden auf. Gletscherseeausbrüche (englisches Akronym GLOFs – glacial lake outburst floods) beschreiben den plötzlichen Ausfluss von teils mehreren Millionen Kubikmetern Wasser aus natürlich gedämmten Schmelzwasserseen. Anhaltender Gletscherrückgang in vergangenen Jahrzehnten schuf mehrere tausend Hochgebirgsseen, mit ununterbrochenem Wachstum in Anzahl und Fläche, was den Schluss auf ein möglicherweise vermehrtes Auftreten von GLOFs nahelegte. Diese suggerierte Zunahme von GLOFs konnte jedoch bisher weder getestet noch bestätigt werden, vor allem weil Seen überwiegend jenseits von 4,000 m üNN entstehen, was Feldstudien dort erschwert. Unser Wissen über GLOFs ist daher möglicherweise zu größeren, schadensreichen Ereignissen verschoben, wodurch ihre aktuelle Frequenz, und letztlich auch ihr Zusammenhang mit dem Klimawandel, nur schwer quantifizierbar sind. Mit welcher Wiederkehrrate GLOFs auftreten ist nicht zuletzt entscheidend für Risikoanalyse und -management entlang von Flüssen. Um einer Unterschätzung der tatsächlichen GLOF-Aktivität entgegenzuwirken, entwickelte ich einen Algorithmus, der GLOFs automatisch aus Satellitenbildern detektiert. Der Algorithmus greift auf etwa 30 Jahre kontinuierlich aufgenommene Landsat-Bilder (~1988-2017) zu, und berechnet letztlich die Wahrscheinlichkeit, ob Wasserkörper rasch innerhalb dieser Bildzeitreihe geschrumpft sind. An solchen Stellen suchte ich nach Sedimentverlagerungen im Gerinne flussabwärts, was ein zweites Hauptkriterium für GLOFs ist. Tests und Validierung in etwa 10% des Himalayas bestätigten, dass die Methode robust gegenüber atmosphärischen Störeffekten ist. Mit dem Ziel bisher unbekannte GLOFs zu entdecken, wendete ich daher diesen Algorithmus auf den gesamten Himalaya an. Die Suche ergab 22 neu entdeckte GLOFs, was das bestehende Inventar von 16 bekannten GLOFs seit 1988 mehr als verdoppelte. Das aktualisierte räumliche Verbreitungsmuster bestätigte einmal mehr, dass GLOFs vermehrt im Zentral- und Osthimalaya (Bhutan und Ost-Nepal) auftraten, wohingegen im Norden deutlich weniger GLOFs stattfanden. Entgegen der häufigen Annahme stellte ich jedoch fest, dass die jährliche Häufigkeit von GLOFs in den letzten drei Jahrzehnten konstant blieb. Dadurch hat das Verhältnis von GLOFs pro Einheit See(-fläche) in diesem Zeitraum sogar abgenommen. Dieses räumlich aufgelöste GLOF-Inventar bot nun die Möglichkeit, das Gefährdungspotential durch GLOFs für den gesamten Himalaya und einzelne Regionen zu berechnen. Dafür verwendete ich die in der Hochwasseranalyse gebräuchliche Definition von Gefährdung, welche die jährliche Überschreitungswahrscheinlichkeit einer gewissen Abflussmenge, in diesem Fall des Spitzenabflusses [m3 s-1] am Dammbruch, beschreibt. Das GLOF-Inventar liefert demnach die zeitliche Wahrscheinlichkeit für das Auftreten von GLOFs, während Simulationen von möglichen Spitzenabflüssen für alle heute existierenden ~5,000 Seen im Himalaya die zu erwarteten Magnituden beisteuerten. Mit Extremwertstatistik lässt sich so die mittlere Wiederkehrzeit dieser Spitzenabflüsse errechnen. Ich fand heraus, dass der 100-jährliche Abfluss (die Flutmagnitude, die im Durchschnitt einmal in 100 Jahren erreicht oder überschritten wird) derzeit bei rund 20,600+2,200/–2,300 m³ s-1 für den gesamten Himalaya liegt. Entsprechend der heutigen räumlichen und zeitlichen Verteilung von GLOFs ist die Gefährdung im Osthimalaya am höchsten und in Regionen mit wenig dokumentierten GLOFs vergleichsweise niedrig. Für ein Szenario, in dem der gesamte Himalaya in Zukunft eisfrei sein könnte, errechnete ich zudem das Gefährdungspotential von ~9,500 Übertiefungen unterhalb der heutigen Gletschern, die sich nach deren Abschmelzen mit Wasser füllen könnten. Angenommen, dass die zukünftige GLOF-Rate der heutigen entspricht, könnte der 100-jährliche Abfluss sich mehr als verdoppeln (41,700+5,500/–4,700 m3 s-1), wobei der stärkste regionale Anstieg für den Karakorum zu erwarten wäre. Zusammenfassend formen diese drei Schritte–von der Detektion von GLOFs, über die Bestimmung derer Frequenz, bis zur regionalen Abschätzung von Spitzenabflüssen–das Grundgerüst, das ein moderner Ansatz zur Gefahrenabschätzung von GLOFs benötigt. Angesichts einer wachsenden Exposition von Bevölkerung, Infrastruktur und Wasserkraftanlagen liefert diese Arbeit einen entscheidenden Beitrag, den Anteil des Klimawandels in der Gefährdung und Risiko durch GLOFs zu quantifizieren. KW - GLOF KW - frequency KW - Landsat KW - satellite images KW - classification KW - magnitude KW - Himalaya KW - Karakoram KW - climate change KW - atmospheric warming KW - glacial lakes KW - glaciers KW - meltwater KW - natural hazard KW - GLOF KW - Gletscherseeasubruch KW - Häufigkeit KW - Landsat KW - Satellitenbilder KW - Klassifikation KW - Magnitude KW - Himalaya KW - Karakorum KW - Klimawandel KW - atmosphärische Erwärmung KW - Gletscherseen KW - Gletscher KW - Schmelzwasser KW - Naturgefahr Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436071 ER - TY - JOUR A1 - von Specht, Sebastian A1 - Öztürk, Ugur A1 - Veh, Georg A1 - Cotton, Fabrice Pierre A1 - Korup, Oliver T1 - Effects of finite source rupture on landslide triggering BT - the 2016 M-w 7.1 Kumamoto earthquake JF - Solid earth N2 - The propagation of a seismic rupture on a fault introduces spatial variations in the seismic wave field surrounding the fault. This directivity effect results in larger shaking amplitudes in the rupture propagation direction. Its seismic radiation pattern also causes amplitude variations between the strike-normal and strike-parallel components of horizontal ground motion. We investigated the landslide response to these effects during the 2016 Kumamoto earthquake (M-w 7.1) in central Kyushu (Japan). Although the distribution of some 1500 earthquake-triggered landslides as a function of rupture distance is consistent with the observed Arias intensity, the landslides were more concentrated to the northeast of the southwest-northeast striking rupture. We examined several landslide susceptibility factors: hillslope inclination, the median amplification factor (MAF) of ground shaking, lithology, land cover, and topographic wetness. None of these factors sufficiently explains the landslide distribution or orientation (aspect), although the landslide head scarps have an elevated hillslope inclination and MAF. We propose a new physics-based ground-motion model (GMM) that accounts for the seismic rupture effects, and we demonstrate that the low-frequency seismic radiation pattern is consistent with the overall landslide distribution. Its spatial pattern is influenced by the rupture directivity effect, whereas landslide aspect is influenced by amplitude variations between the fault-normal and fault-parallel motion at frequencies < 2 Hz. This azimuth dependence implies that comparable landslide concentrations can occur at different distances from the rupture. This quantitative link between the prevalent landslide aspect and the low-frequency seismic radiation pattern can improve coseismic landslide hazard assessment. Y1 - 2019 U6 - https://doi.org/10.5194/se-10-463-2019 SN - 1869-9510 SN - 1869-9529 VL - 10 IS - 2 SP - 463 EP - 486 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Veh, Georg A1 - Korup, Oliver A1 - von Specht, Sebastian A1 - Rößner, Sigrid A1 - Walz, Ariane T1 - Unchanged frequency of moraine-dammed glacial lake outburst floods in the Himalaya JF - Nature climate change N2 - Shrinking glaciers in the Hindu Kush-Karakoram-Himalaya-Nyainqentanglha (HKKHN) region have formed several thousand moraine-dammed glacial lakes(1-3), some of these having grown rapidly in past decades(3,4). This growth may promote more frequent and potentially destructive glacial lake outburst floods (GLOFs)(5-7). Testing this hypothesis, however, is confounded by incomplete databases of the few reliable, though selective, case studies. Here we present a consistent Himalayan GLOF inventory derived automatically from all available Landsat imagery since the late 1980s. We more than double the known GLOF count and identify the southern Himalayas as a hotspot region, compared to the more rarely affected Hindu Kush-Karakoram ranges. Nevertheless, the average annual frequency of 1.3 GLOFs has no credible posterior trend despite reported increases in glacial lake areas in most of the HKKHN3,8, so that GLOF activity per unit lake area has decreased since the late 1980s. We conclude that learning more about the frequency and magnitude of outburst triggers, rather than focusing solely on rapidly growing glacial lakes, might improve the appraisal of GLOF hazards. KW - Climate change KW - Cryospheric science KW - Environmental impact KW - Geomorphology Y1 - 2019 U6 - https://doi.org/10.1038/s41558-019-0437-5 SN - 1758-678X SN - 1758-6798 VL - 9 IS - 5 SP - 379 EP - 383 PB - Nature Publ. Group CY - London ER -