New insights into the occurrence of the catastrophic Zhaiban slope debris flow that occurred in a dry valley in the Hengduan Mountains in southwest China

Tian, Shufeng; Chen, Ningsheng; Rahman, Mohd Tadza Abdul; Hu, Guisheng; Peng, Taixin; Zhang, Yong; Liu, Mei

doi:10.1007/s10346-021-01824-0

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…First, because of its vulnerability and sensitivity to the warming climate, PTP is disaster‐prone, having long suffered from diversified climatic and mountainous hazards (Figure S6a in Supporting Information ) (Cui & Jia, 2015), specifically permafrost degradation (Yang et al., 2010), desertification (Figure S6b in Supporting Information ) (Kuang et al., 2020), glacial lake outburst flood (GLOF) (Sattar et al., 2021), landslides (Zhao et al., 2021), debris flow (Figure S6c in Supporting Information ) (Tian et al., 2022), and snow avalanche (Figure S6d in Supporting Information ) (Shugar et al., 2021). Furthermore, global warming has increased and enhanced extreme weather events (Meehl et al., 2000) and natural hazards (Harris & Muhll, 2001; Schneiderbauer et al., 2021), potentially threatening the stability of ecosystems.…”

Section: Discussionmentioning

confidence: 99%

Three‐Dimensional Differentiation of the Contribution of Climatic Factors to Vegetation Change in the Pan‐Tibetan Plateau

Zhang

2023

JGR Biogeosciences

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Due to the heterogeneous terrains and unique alpine climate environment, the three‐dimensional differentiation of climatic impacts on vegetation change and its possible mechanism in the Pan‐Tibetan Plateau (PTP) are complex and lack adequate research. Hence, we here quantify the three‐dimensional differentiation of the contribution of climatic factors to vegetation change using the analysis of variance (ANOVA) method. Results indicate that the overall PTP has been warmer and wetter but partially drier, with a remarkable fractional vegetation coverage (FVC) increase since 2000. Moreover, the total areas with FVC changes accounting for approximately 49.3% of PTP are significantly driven by climate factors. Precipitation and potential evaporation predominate the vegetation change at relatively high altitudes and latitudes, while temperature affects the vegetation change at relatively low latitudes and parts of low elevations. Meanwhile, relative humidity dominates the vegetation change at middle altitudes and latitudes. Furthermore, the hydrothermal conditions and climate change magnitudes modulate the three‐dimensional differentiation. On the one hand, the effects of heat conditions on FVC change overwhelm the moisture conditions in alpine areas or warm and wet regions, in sharp contrast with the dominant role of water conditions in most dry areas. On the other hand, the spatial heterogeneity in climate change magnitudes influences the contribution of climatic factors in most hydrothermal conditions. Additionally, interventions challenging to quantify, such as climatic and mountainous hazards, anthropogenic activities, and vegetation feedback, will lead to the differentiation’s uncertainties. Our research hopefully provides theoretical support for national ecosystem management and major construction projects across PTP.

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Section: Discussionmentioning

confidence: 99%

Three‐Dimensional Differentiation of the Contribution of Climatic Factors to Vegetation Change in the Pan‐Tibetan Plateau

Zhang

2023

JGR Biogeosciences

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“…The correlation results show that as the value of the factor increases, so does the hazard. One noteworthy observation is that a smaller catchment area may pose a greater hazard, suggesting the occurrence of significant disasters in smaller watersheds within the study zone [10]. There is no discernible linkage between vegetation coverage and land utilization.…”

Section: Debris Flow Hazard Assessment In the Tsmsmentioning

confidence: 93%

“…These theories regarding the impact of "drought" on debris flow disasters have been substantiated by numerous actual cases. For instance, the disastrous ZSDF in Ganluo County in 2019, which occurred within the arid valley area of the Hengduan Mountains [10], and comparable illustrations can be found in the Tianshan Mountains of China [11]. The Tianshan region, with an average annual precipitation of 170.62 mm and evapotranspiration in the range of 523-1528 mm, represents a classic arid region within Asia and Europe.…”

Section: Introductionmentioning

confidence: 95%

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Li,

Wu,

Chen

et al. 2023

Remote Sensing

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The Tien Shan Mountain range connects Central Asia with northwestern China and is a crucial transport junction between East and West Asia. It is a common location for regional debris flows, which pose a significant risk to ecological security and the safety of people and property. Nevertheless, limited knowledge exists about the distribution of disaster risks and the impacted populations. This study uses advanced machine learning techniques to identify the key natural and social factors influencing these hazards and incorporates the Social Vulnerability Index (SoVI) to assess societal vulnerability. The outcomes demonstrate that (1) the debris flow hazard in the Tien Shan Mountain area is primarily governed by the geological structure, which dictates the material source and, in turn, dictates the onset of debris flows. (2) The vulnerability demonstrates a high spatial tendency in the north and a low one in the south, with evident spatial clustering characteristics. (3) A total of 19.13% of the study area is classified as high-hazard, with specific distribution zones including the northern foothills of the Tien Shan Mountains, the low-mountain zones of the southern foothills of the Tien Shan Mountains, and the Yili Valley zone. This holistic approach offers valuable insights into the spatial distribution of risks, aiding in prioritizing disaster preparedness and mitigation efforts. Also, our findings and conclusions are beneficial for local decision makers to allocate resources effectively and promote sustainable development practices in the region.

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“…Global warming causes the occurrence of extreme weather and the rapid melting of glaciers, affecting the environment and the safety of humans [ 1 , 2 ]. As the world’s third pole, the Qinghai-Tibet Plateau is more sensitive to climate change and has a more delicate ecosystem [ 3 , 4 , 5 , 6 ]. In October 2018, the Grand Canyon on the Yarlung Tsangpo River (YTR) in the Sedongpu Basin experienced two successive glacier collapses and river-blocking incidents, and they caused a huge disaster and posed a potential threat to the residents and transport lines upstream and downstream from Paizhen Town and in the area along the river banks in Medog County.…”

Section: Introductionmentioning

confidence: 99%

Automatic Monitoring Alarm Method of Dammed Lake Based on Hybrid Segmentation Algorithm

Cai

Sun

et al. 2023

Sensors

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Mountainous regions are prone to dammed lake disasters due to their rough topography, scant vegetation, and high summer rainfall. By measuring water level variation, monitoring systems can detect dammed lake events when mudslides block rivers or boost water level. Therefore, an automatic monitoring alarm method based on a hybrid segmentation algorithm is proposed. The algorithm uses the k-means clustering algorithm to segment the picture scene in the RGB color space and the region growing algorithm on the image green channel to select the river target from the segmented scene. The pixel water level variation is used to trigger an alarm for the dammed lake event after the water level has been retrieved. In the Yarlung Tsangpo River basin of the Tibet Autonomous Region of China, the proposed automatic lake monitoring system was installed. We pick up data from April to November 2021, during which the river experienced low, high, and low water levels. Unlike conventional region growing algorithms, the algorithm does not rely on engineering knowledge to pick seed point parameters. Using our method, the accuracy rate is 89.29% and the miss rate is 11.76%, which is 29.12% higher and 17.65% lower than the traditional region growing algorithm, respectively. The monitoring results indicate that the proposed method is a highly adaptable and accurate unmanned dammed lake monitoring system.

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New insights into the occurrence of the catastrophic Zhaiban slope debris flow that occurred in a dry valley in the Hengduan Mountains in southwest China

Cited by 8 publications

References 23 publications

Three‐Dimensional Differentiation of the Contribution of Climatic Factors to Vegetation Change in the Pan‐Tibetan Plateau

Three‐Dimensional Differentiation of the Contribution of Climatic Factors to Vegetation Change in the Pan‐Tibetan Plateau

Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

Automatic Monitoring Alarm Method of Dammed Lake Based on Hybrid Segmentation Algorithm

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