Long-term relationship between landslide occurrences and precipitation in southern Lower Saxony and northern Hesse

Rupp, S. T.; Wohlers, Annika; Damm, Bodo

doi:10.1127/zfg/2018/0528

Cited by 8 publications

(8 citation statements)

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“…While a general link between precipitation and landslides can be observed in the region (cf. Wohlers et al, 2017; Rupp et al, 2018), little correlation with annual and monthly precipitation records can be found. The role of precipitation records might be underestimated, though, since short‐term high‐intensity precipitation events in particular can trigger landslides (cf.…”

Section: Discussionmentioning

confidence: 99%

“…In general, landslides are linked to precipitation in the region of the Mittelland Canal (cf. Rupp et al, 2018). The anomalous landslide events are analysed to evaluate them as possible landslide triggers.…”

Section: Methodsmentioning

confidence: 99%

“…Another possible trigger can be the increased soil moisture due to intense rainfall or snowmelt (cf. Irigaray et al, 2000; Rossi et al, 2010; Rupp et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of historical data for a better understanding of post‐construction landslides at an artificial waterway

Wohlers

Damm

2020

Earth Surf Processes Landf

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With growing urbanization, an increasing number of landslides worldwide are linked to construction works, especially along transportation routes. To get a better understanding of these post‐construction landslides at artificial waterways, archive studies have been conducted, in addition to analysis of historical scientific literature and technical reports. The resultant database is used to describe the occurrence and the characteristics of the landslides at the Mittelland Canal, and to evaluate aspects of conditioning and preparatory factors, potential triggers and applied mitigation measures. The Mittelland Canal has been chosen because it is one of the most important artificial waterways in Europe, and the high number of landslides that occur there is unique. In particular, landslides at the Mittelland Canal were frequently reported in the first half of the 20th century. The susceptibility to landslides is strongly influenced by material characteristics, as a large number of landslides is linked to sites where fine‐grained mudstone is abundant, which quickly decomposes under immersion in water or under dynamic stress. In addition, landslides can be linked to the creation of over‐steepened slopes. Construction works can also be considered another preparatory factor for landslides. In addition, some landslides in World War II appear to be connected to the blast of aerial bombings. Precipitation seems to play a minor role in triggering landslides. The applied mitigation measures were developed recently, marking the importance of the canal as a transportation route. © 2020 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Analysis of historical data for a better understanding of post‐construction landslides at an artificial waterway

Wohlers

Damm

2020

Earth Surf Processes Landf

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“…Standard geomechanical laboratory procedures were used to determine the physical properties and shear strength of the soil on the slope [27]. The relationship between rainfall and terrace landslide vulnerability was also evaluated, which only a few studies address in general [28] and not solely for terraced slopes. The soils in the chosen slope can be divided into two characteristic groups: weathered clay and very weathered soft marl under the weathered layer.…”

Section: Terrace Planning and Constructionmentioning

confidence: 99%

Parametric Terracing as Optimization of Controlled Slope Intervention

Berčič

Momirski

2020

Water

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With the introduction of mechanization in agriculture, the area of terraced slopes has increased. However, in most cases, the planning of terracing in practice remains experience-based, which is no longer effective from an agricultural, geological, and hydrological point of view. The usual method of building terraces, especially terraces with earth risers, is therefore outdated, and a new method must be found for planning and building terraced areas. In addition to geographical information system (GIS) tools, parametric design tools for planning terraced landscapes are now available. Based on the design approaches for a selected plot in the Gorizia Hills in Slovenia, where we used a trial-and-error method, we improved previous results by defining a model using a computer algorithm that generates a terraced landscape on a selected slope depending on various input parameters such as the height of the terrace slope, the inclination of the terrace slope, the width of the terrace platform, and the number of terraces. For the definition of the algorithm we used the visual program tool Grasshopper. By changing the values of the input data parameters, the algorithm was able to present combinatorial simulations through a variety of different solutions with all the corresponding statistics. With such results it is much easier to make a conscious decision on which combination of parameters is optimal to prevent landslides, plan adequate drainage, and control soil movements when building terraces. The controlled slope intervention is further optimized by the introduction of a usage index (Tx), defined as the quotient of the sum of all flat areas (terrace platforms) and the total area of the plot.

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“…Such textual sources can be acquired from scientific publications, reports of varying agencies (e.g., civil protection, police, building authorities, road construction offices), newspaper articles, and unpublished documents (e.g., church records or historical archives). Overall, data acquisition from textual sources is an effective method (Wohlers et al 2017;Rupp et al 2018) that could further profit from digitalization. While there are many inventories in use which were created in large parts, or even exclusively, based on textual sources ( Guzzetti et al 1994;Devoli et al 2007;Foster et al 2012;Liu et al 2013;Hess et al 2014;Pereira et al 2014;Damm and Klose 2015;Raska et al 2015;Rosser et al 2017;Valenzuela et al 2017;Piacentini et al 2018), few publications provide a methodological approach on how to acquire those sources in digital form.…”

Section: Introductionmentioning

confidence: 99%

Automated digital data acquisition for landslide inventories

Kreuzer

Damm

2020

Landslides

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Landslide research relies on landslide inventories for a multitude of spatial, temporal, or process analyses. Generally, it takes high effort to populate a landslide inventory with relevant data. In this context, the present work investigated an effective way to handle vast amounts of automatically acquired digital data for landslide inventories by the use of machine learning algorithms and information filtering. Between July 2017 and February 2019, a keyword alert system provided 4381 documents that were automatically processed to detect landslide events in Germany. Of all those documents, 91% were automatically recognized as irrelevant or duplicates; thereby, the data volume was significantly reduced to contain only actual landslide documents. Moreover, it was shown that inclusion of the document's images into the automated process chain for information filtering is recommended, since otherwise unobtainable important information was found in them. Compared with manual methods, the automated process chain eliminated personal idiosyncrasies and human error and replaced it with a quantifiable machine error. The applied individual algorithms for natural language processing, information retrieval, and classification have been tried and tested in their respective fields. Furthermore, the proposed method is not restricted to a specific language or region. All languages on which these algorithms are applicable can be used with the proposed method and the training of the process chain can take any geographical restriction into account. Thus, the present work introduced a method with a quantifiable error to automatically classify and filter large amounts of data during automated digital data acquisition for landslide inventories.

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Long-term relationship between landslide occurrences and precipitation in southern Lower Saxony and northern Hesse

Cited by 8 publications

References 0 publications

Analysis of historical data for a better understanding of post‐construction landslides at an artificial waterway

Analysis of historical data for a better understanding of post‐construction landslides at an artificial waterway

Parametric Terracing as Optimization of Controlled Slope Intervention

Automated digital data acquisition for landslide inventories

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