Rainfall thresholds for the occurrence of debris flows in the Jiangjia Gully, Yunnan Province, China

Zhuang, Jian; Cui, Peng; Wang, Gonghui; Chen, Xiaoqing; Iqbal, Javed; Guo, Xiaojun

doi:10.1016/j.enggeo.2015.06.006

Cited by 63 publications

(38 citation statements)

References 44 publications

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“…In this context, hydrogeological and lithological conditions are present in landslides triggered by the slope. Indeed, Zhuang et al (2015) reported that the slope in their study area affected the rates of in ltration and ow, and also the regolith layer and the thicknesses of the other units. Similarly, Avcı (2016) reported that landslides had a favorable relationship with lithological conditions and the excess amount of precipitation and groundwater.…”

Section: The Relationship Of Hydrology and Slope Anglementioning

confidence: 97%

“…It is known that slope stability is largely related to the slope angle and material properties. The effect of the slope on landslide susceptibility varies based on the soil, debris, or rock type in the study area, and the type of materials occurring in the landslide (Zhuang et al, 2015;Avcı, 2016). In other words, while it is known that high-angle slopes are more susceptible to landslides, a general increase in susceptibility to initiate landslides is expected with the slope increasing up to the point at which the slope angle takes further steps for the creation of a layer of soil at an adequate thickness.…”

Section: Relationship Of Lithology and The Slope Anglementioning

confidence: 99%

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Effect of the Slope Angle and Its Classification on Landslide

Çellek

2020

Preprint

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The preparation of landslide susceptibility maps is a complex process with regards to the selection of the study field, parameters, and methods. The phase after the determination of the landslide distribution in landslide susceptibility studies is the selection of the methods and parameters to be used. However, first, as in this study, a comprehensive literature search is required. A review of approximately 1500 randomly selected publications revealed that it was necessary to select a parameter based on the area, and the research showed that, in each study, the most preferred parameter was the slope angle. Moreover, there is nearly a consensus of opinion among researchers regarding the use of the slope angle. The current research included the definitions of the slope angle put forth by different researchers, the advantages and disadvantages of its use, the different classifications that have been used, the intervals of the landslides, its use together with other parameters, and its effect on landslides. Generally, it was observed that automatic slope angle classifications have been used in the preparation of landslide maps in the literature. Therefore, there is no standard in slope angle maps nor in the class range that is referenced when preparing them. In this study, the class ranges and slope angle values of areas where landslides have occurred were determined from the literature, and of these, 40 landslides areas were selected in Turkey and their slope angle maps were created. These were evaluated according to the slope angle classes determined in the literature. The effects of the slope angle on the landslide were determined, and an understanding was gained of how important it was to be careful when determining the classification of the slope angle. When smaller class ranges were selected, different results were obtained. This showed that following parameter selection, the selection of the range of classes was vital in the preparation of landslide susceptibility maps.

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Section: The Relationship Of Hydrology and Slope Anglementioning

confidence: 97%

Section: Relationship Of Lithology and The Slope Anglementioning

confidence: 99%

Effect of the Slope Angle and Its Classification on Landslide

Çellek

2020

Preprint

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“…Erener and Lacasse (2007) reported that landslides in the study area demonstrated high correlation at low elevations from 0 to 15 m because of proximity to rivers and erosion. Zhuang et al, (2015) separated their study area into three regions. They reported that a vast majority of landslides occurred on Qin Mountain at 50-90m (45.18%), on Li Mountain at 10-70m (87.30%), and in Loess Tableland at 10-30m (44.90%).…”

Section: Elevation Classesmentioning

confidence: 99%

Morphological parameters causing landslides: a case study of elevation

Çellek¹

2019

Bulletin of the Mineral Research and Exploration

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The history of landslide susceptibility maps goes back about 50 years. Danger and risk maps later followed these maps. Inventory maps provide the source of all these. There are different parameters selected specially for each field in the literature as well as parameters selected because they are easy to produce and obtain data. One of the parameters that are easy to access and prepare and are acquired from the secondary derivatives of topographical data is the parameter of elevation.This study tried to research the effect of elevation on landslides by reviewing the literature in detail. The used class ranges and elevation values were reviewed and applied to the map sections selected from Turkey. By analyzing the results, the goal was to determine at which elevation ranges landslides occurred.The study tried to investigate the effect of the parameter of elevation using data from the literature. It works to compare the elevation values for map sections selected to compare with the literature. The study comprises two stages. The first step tried to acquire statistical data by researching the data from the literature. The data were investigated in the second stage. For this purpose, close to 1,500 studies prepared between 1967 and 2019 were reviewed. According to the literature, the parameter of was used in analyses because it is easy to produce and is morphologically effective.

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“…10, take 1 h rainfall (I 60 ), obtained from the observed data of the Guojuanyan gully, as the TP. The API includes IAP and DAP, calculated as the following expression (Zhao et al, 2011;Guo, 2013;Zhuang et al, 2015):…”

Section: The Calculation Of the Antecedent Precipitation Index (Api)mentioning

confidence: 99%

Rainfall threshold calculation for debris flow early warning in areas with scarcity of data

Pan

Jiang

Wang

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Debris flows are natural disasters that frequently occur in mountainous areas, usually accompanied by serious loss of lives and properties. One of the most commonly used approaches to mitigate the risk associated with debris flows is the implementation of early warning systems based on well-calibrated rainfall thresholds. However, many mountainous areas have little data regarding rainfall and hazards, especially in debris-flow-forming regions. Therefore, the traditional statistical analysis method that determines the empirical relationship between rainstorms and debris flow events cannot be effectively used to calculate reliable rainfall thresholds in these areas. After the severe Wenchuan earthquake, there were plenty of deposits deposited in the gullies, which resulted in several debris flow events. The triggering rainfall threshold has decreased obviously. To get a reliable and accurate rainfall threshold and improve the accuracy of debris flow early warning, this paper developed a quantitative method, which is suitable for debris flow triggering mechanisms in meizoseismal areas, to identify rainfall threshold for debris flow early warning in areas with a scarcity of data based on the initiation mechanism of hydraulic-driven debris flow. First, we studied the characteristics of the study area, including meteorology, hydrology, topography and physical characteristics of the loose solid materials. Then, the rainfall threshold was calculated by the initiation mechanism of the hydraulic debris flow. The comparison with other models and with alternate configurations demonstrates that the proposed rainfall threshold curve is a function of the antecedent precipitation index (API) and 1 h rainfall. To test the proposed method, we selected the Guojuanyan gully, a typical debris flow valley that during the 2008-2013 period experienced several debris flow events, located in the meizoseismal areas of the Wenchuan earthquake, as a case study. The comparison with other threshold models and configurations shows that the selected approach is the most promising starting point for further studies on debris flow early warning systems in areas with a scarcity of data.

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Rainfall thresholds for the occurrence of debris flows in the Jiangjia Gully, Yunnan Province, China

Cited by 63 publications

References 44 publications

Effect of the Slope Angle and Its Classification on Landslide

Effect of the Slope Angle and Its Classification on Landslide

Morphological parameters causing landslides: a case study of elevation

Rainfall threshold calculation for debris flow early warning in areas with scarcity of data

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