The Wuxie debris flows triggered by a record-breaking rainstorm on 10 June 2021 in Zhuji City, Zhejiang Province, China

Wang, Fawu; Yan, Kongming; Nam, Kounghoon; Zhu, Guolong; Peng, Xingliang; Zhao, Zi-Xin

doi:10.1007/s10346-022-01903-w

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…The decomposition of the surface litter layer mainly includes water leaching, photodegradation, natural fragmentation, soil animal feeding, and microbial decomposition [34]. The frequent precipitation and strong leaching in the study area led to the rapid loss and degradation of carbohydrates and water-soluble substances in the litter of the un-decomposed layer [35], while cellulose, lignin, and other substances are difficult to decompose, and accumulate in the semi-decomposed and decomposed layers, resulting in a decrease in the decomposition rate of litter, so that litter can accumulate [36]. However, there were no differences between the un-decomposed layer and the semi-decomposed and decomposed layers in the litter stock of MFs (Figure 2, p > 0.05).…”

Section: Impacts Of Moso Bamboo Expansion On the Stock Of The Litter ...mentioning

confidence: 99%

Effects of Moso Bamboo (Phyllostachys pubescens) Expansion on the Stock and Nutrient Characteristics of the Litter Layer in Subtropical Coniferous and Broad-Leaved Mixed Forests, China

Chen,

Liu

2024

Forests

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To reveal the changes on the stock of the litter layer and its nutrient storage capacity during Moso bamboo expansion in subtropical coniferous and broad-leaved forests, permanent plots were set up in the transitional zone in Wuxie National Park, Zhuji, Zhejiang, China. The plots contained conifer and broad-leaved forests (CFs), transition forests (TFs), and Moso bamboo forests (MFs), which represented three stages of the expansion of Moso bamboo to the surrounding forests. Litter samples were collected and analyzed by un-decomposed, semi-decomposed, and decomposed layers. The stock of the litter layer, the content and storage of the main nutrient elements, and their release rate were measured. It was revealed that the stock of the litter layer and each decomposition layer decreased as the bamboo expands. However, the litter decomposition rate exhibited a positive correlation with the expansion of Moso bamboo, which might be due to the change in the physical properties of the litter. Meanwhile, there were no significant differences in the un-decomposed and semi-decomposed layers of the litter contents of C, N, and P between the three forests, but the contents of C, N, and P in the decomposed layer gradually decreased with the expansion of Moso bamboo. There were no remarkable differences in the N content, C/N, C/P, and lignin/N values of the un-decomposed layer of the three forests, indicating that the litter quality was not the principal reason affecting the decomposition rate. The total nutrient storage in the litter layer decreased significantly with the bamboo expansion, and the release rate of nutrient elements increased, which was adverse to the accumulation and storage of the nutrients. The material cycle of the original forest ecosystem is likely to deteriorate gradually with the bamboo expansion.

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Section: Impacts Of Moso Bamboo Expansion On the Stock Of The Litter ...mentioning

confidence: 99%

Effects of Moso Bamboo (Phyllostachys pubescens) Expansion on the Stock and Nutrient Characteristics of the Litter Layer in Subtropical Coniferous and Broad-Leaved Mixed Forests, China

Chen,

Liu

2024

Forests

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“…The entire flow process can last up to several hours, making these events more destructive than floods. The most extreme form of this disaster sees mass debris flow caused by a local rainstorm [2]. The presence of multiple gullies makes it easier for such events to inflict superimposed damage and cause more serious harm [3].…”

Section: Introductionmentioning

confidence: 99%

“…They identify potential areas of debris flow occurrence, construct relevant models based on water flow change in the area, and compare and analyze the models with actual alluvial fans extracted to support the development of debris flow risk prevention and control strategies. Finally, they apply the relevant research results to an area of 125,000 km (2) in the southern part of British Columbia, Canada. However, in the process of constructing a debris flow monitoring model, this method lacks comprehensive data and has not been validated on site, resulting in the final results having low reliability and accuracy [7].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction Algorithm of Massive Rainstorm Debris Flow Based on Ecological Environment Telemetry

Li,

Zhao,

et al. 2023

Water

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In order to accurately extract the characteristics of debris flow caused by group rainstorms, effectively identify the on-site information of debris flow, and provide a scientific basis for debris flow monitoring, early warning and disaster control, this paper proposes a method for extracting the characteristics of heavy rainstorm debris flow using multiregional ecological environment remote sensing. In the ecological environment where debris flows occur frequently, remote sensing data of heavy rainstorm debris flows are preprocessed using remote sensing technology, providing an important basis for the feature extraction of debris flows. The kernel principal component analysis method and Gabor filters are innovatively used to extract the spectral and texture features of rainstorm and debris flow remote sensing images, and the convolutional neural network structure is improved based on the open source deep learning framework, integrating multilevel features to generate debris flow feature maps. The improved convolution neural network is then used to extract the secondary features of the fusion feature map, and the feature extraction of heavy rainstorm debris flow is realized. The experiment shows that this method can accurately extract the characteristics of heavy rainstorm debris flow. Fused remote sensing images of debris flow effectively ameliorate the problem of insufficient informational content in a single image and improve image clarity. When the Gabor kernel function has eight different directions, the feature extraction effect of the debris flow image in each direction of the heavy rainstorm is the best.

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Cluster landslides and associated damage in the Dima Hasao district of Assam, India due to heavy rainfall in May 2022

et al. 2022

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The Wuxie debris flows triggered by a record-breaking rainstorm on 10 June 2021 in Zhuji City, Zhejiang Province, China

Cited by 6 publications

References 25 publications

Effects of Moso Bamboo (Phyllostachys pubescens) Expansion on the Stock and Nutrient Characteristics of the Litter Layer in Subtropical Coniferous and Broad-Leaved Mixed Forests, China

Effects of Moso Bamboo (Phyllostachys pubescens) Expansion on the Stock and Nutrient Characteristics of the Litter Layer in Subtropical Coniferous and Broad-Leaved Mixed Forests, China

Feature Extraction Algorithm of Massive Rainstorm Debris Flow Based on Ecological Environment Telemetry

Cluster landslides and associated damage in the Dima Hasao district of Assam, India due to heavy rainfall in May 2022

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