The October 13, 2020, deadly rapid landslide triggered by heavy rainfall in Phong Dien, Thua Thien Hue, Vietnam

Tien, Pham Van; Trinh, Phan Trong; Luong, Le Hong; Nhat, Le Minh; Duc, Do Minh; Hieu, Tran Trung; Cường, Trần Quốc; Nhàn, Trần Thanh

doi:10.1007/s10346-021-01663-z

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Rainfall is one of the factors that cannot be ignored that affects and controls landslides. Throughout the world, judging from the reasons for many landslides (Fan et al, 2020;Yang et al, 2020;Van Tien et al, 2021a;Van Tien et al, 2021), the LR bo model retains some important trigger factors which are not retained by the LR ao model. Although the relationship between landslides and faults cannot be ignored (Wang et al, 2021), most landslides are induced by rainfall in the study area, which does not have a strong relationship with faults.…”

Section: Discussionmentioning

confidence: 99%

Improving Geospatial Agreement by Hybrid Optimization in Logistic Regression-Based Landslide Susceptibility Modelling

Sun

Wen

et al. 2021

Front. Earth Sci.

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This study aims to develop a logistic regression model of landslide susceptibility based on GeoDetector for dominant-factor screening and 10-fold cross validation for training sample optimization. First, Fengjie county, a typical mountainous area, was selected as the study area since it experienced 1,522 landslides from 2001 to 2016. Second, 22 factors were selected as the initial conditioning factors, and a geospatial database was established with a grid of 30 m precision. Factor detection of the geographic detector and the stepwise regression method included in logistic regression were used to screen out the dominant factors from the database. Then, based on the sample dataset with a 1:10 ratio of landslides and nonlandslides, 10-fold cross validation was used to select the optimized sample to train the logistic regression model of landslide susceptibility in the study area. Finally, the accuracy and efficiency of the two models before and after screening out the dominant factors were evaluated and compared. The results showed that the total accuracy of the two models was both more than 0.9, and the area under the curve value of the receiver operating characteristic curve was more than 0.8, indicating that the models before and after screening factor both had high reliability and good prediction ability. Besides, the screened factors had an active leading role in the geospatial distribution of the historical landslide, indicating that the screened dominant factors have individual rationality. Improving the geospatial agreement between landslide susceptibility and actual landslide-prone by the screening of dominant factors and the optimization of the training samples, a simple, efficient, and reliable logistic-regression–based landslide susceptibility model can be constructed.

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Section: Discussionmentioning

confidence: 99%

Improving Geospatial Agreement by Hybrid Optimization in Logistic Regression-Based Landslide Susceptibility Modelling

Sun

Wen

et al. 2021

Front. Earth Sci.

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“…Some of these open areas have been planted with acacias (largely under Program 661 [49]) purportedly to be 'restored' as 'watershed protection forests'-i.e., 'planted forests' which successively became colonized by native tree species, which will likely eventually revert to some forms of rainforest [176,184]. Many of these old (>15 years) acacia-based 'protection forests' have however recently 22 been logged out (~harvested) for timber by SFCs and MBPFs [60], despite the antecedent green rhetoric [48] that was recurrently complemented by real issues of landslides and floods during storm events [185][186][187].…”

Section: Concluding Notes and Corollariesmentioning

confidence: 99%

Acacia Plantation Development and the Configuration of Tree Farmers’ Agricultural Assets and Land Management—A Survey in Central Vietnam

Cochard

Ngo³

2021

Land

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Since 1990 acacia-based tree plantations have fast expanded in Vietnam, now supporting a multi-billion-dollar export-oriented wood industry which is transforming from woodchip production to value-added products. Within this dynamic context, tree farmer associations have started to produce sawlogs under FSC (Forest Stewardship Council) certification. In this paper, we retrace the development of plantation assets, investigating farmers’ current livelihoods and land management, specifically considering various aspects of sustainability. We interviewed 180 tree farmers in three districts (lowland–upland regions) of Thừa Thiên Huế Province, including sawlog producers with and without FSC and smallholder producers of woodchips. Acacia planting in ‘barren lands’ was initiated through state programs in the 1990s (low-/midlands) and 2010s (uplands). Farmers now producing FSC sawlogs were among the first to gain forestland tenure; they now own large plantations (on good terrain), are in tune with policies and maintain resources/capacities to adopt management in line with FSC standards. Yet, most farmers also retain plots for easy-to-manage and low-risk woodchip production. Soil/vegetation conservation depends on farmers’ status/capacities and environmental awareness; FSC membership added economic-political benefits. Findings are discussed within a regional historic context. Plantations contribute to economic development, but issues persist/emerged in terms of land equity and environmental governance, risks (e.g., plant pathogens), and spaces/impetus for farm-based innovation and adaptiveness.

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“…Although wet mountains and areas subject to intense rainfall (e.g., monsoons) have received considerable amounts of study (e.g., Emberson et al, 2020; Van Tien et al, 2021), dryland systems are very unrepresented in the landslide literature. Given the relationship between rainfall and hazards, this is unsurprising.…”

Section: Introductionmentioning

confidence: 99%

Trees as bioindicators of hillslope degradation by debris flows and dangerous rockfalls along the Lefthand Canyon, Colorado Front Range

et al. 2023

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Trees provide important ecosystem services such as hillslope stabilization from landslides and rockfall protection, and may also be useful indicators of likelihood of those events in the future. Anatomical changes of tree wood are caused by various physical and biological phenomena. There are several geomorphic processes that change tree‐ring characteristics, including hillslope movement, and if detectable, these changes may be used as bioindicators of terrain surface stability. This type of proxy data is vital to places that lack systematic monitoring infrastructure. In the present study, we have evaluated the effects of a heavy rainfall that happened on 11–13 September 2013 in the Colorado Front Range (CFR), which triggered more than 1300 debris flows. We intensely studied one large debris flow that was triggered in the region and the surrounding trees. We explored potential tree‐based records of hillslope instability including compression wood and the method of eccentricity index of tree rings prior to the 2013 event. In addition, the response index was correlated with daily precipitation totals of the previous and current year in a moving window mode. We also evaluated rockfall patterns to explore the frequency and spatial distribution of tree‐scar‐based records. Our primarily goal was to test the method in dry climate conditions and to reconstruct possible soil instability episodes and rockfalls that led to hillslope degradation and tree mortality. In this study, we aimed to fill a significant knowledge gap on debris flows and rockfalls frequency in a dry montane forest system. We were able to distinguish 5 years of increased response index (>25% of trees recording slope instability): 1955 (30%), 1982 (27%), 2002 (27%), 2006 (31%), and 2009 (26%). A spring and early summer season daily precipitation totals of the previous year and summertime daily precipitation totals of the current year explained part of the response index variability. Significant correlation coefficients were up to 0.27. Almost 30 historical rockfall events were dated but only one coincided with an earthquake. In total 138 scars visible on growing trees were mapped. Some of them were found even 3.1 m above the ground level. We conclude that trees can be effective bioindicators of hillslope instability related to debris flows and rock falling. However, extreme climate events such as heavy rainfall causing a high number of debris flows can be difficult to predict based on the method adopted in the present study.

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The October 13, 2020, deadly rapid landslide triggered by heavy rainfall in Phong Dien, Thua Thien Hue, Vietnam

Cited by 8 publications

References 4 publications

Improving Geospatial Agreement by Hybrid Optimization in Logistic Regression-Based Landslide Susceptibility Modelling

Improving Geospatial Agreement by Hybrid Optimization in Logistic Regression-Based Landslide Susceptibility Modelling

Acacia Plantation Development and the Configuration of Tree Farmers’ Agricultural Assets and Land Management—A Survey in Central Vietnam

Trees as bioindicators of hillslope degradation by debris flows and dangerous rockfalls along the Lefthand Canyon, Colorado Front Range

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