Remote Mountainous Areas Research Articles

Spatial coupling relationship between multidimensional poverty and the risk of geological disaster

ABSTRACT Objective: Studying the coupling relationship between multidimensional poverty and geological disaster risk is a beneficial exploration for the collaborative promotion of disaster and poverty reduction. Methods: Taking Sichuan province as the research area, this study adopted the multidimensional poverty index and the information content model to quantitatively evaluate the multidimensional poverty and geological disaster risk in 2019, and uses the coupling coordination degree model to explore their coupling relationship and coordinated development. Results: The development level of high-altitude areas and remote mountainous areas was lower than that of plain and hilly areas, and the spatial difference of multidimensional poverty is obvious. The risk of geological disaster is relatively high overall in the alpine valley regions of Western, Southern and Northern Sichuan. The coupling level of multidimensional poverty and geological disasters is comparatively prominent. The overall coordination degree is relatively high. There existed obvious gathering areas in places of disorder of both poverty and disaster, disaster risk lag, poverty lag and synchronous development. In contrast, the coordinated-disaster risk and the poverty lags were relatively scattered. The unbalanced development between eastern and western Sichuan is comparatively prominent. More efforts will be paid to pursue poverty and disaster reduction in a highly collaborative way. Conclusion: This study gives data support for the long-term mechanism established in Sichuan province for forestalling and defusing the risk of returning to poverty caused by disease so that the international community can learn from China’s experience through observation and collaboration in terms of poverty and disaster reduction.

Design of On-line Monitoring System for Photovoltaic Power Generation Power Quality Based on Stm32

Monitoring the quality of photovoltaic power generation in remote mountain areas is difficult, so this paper proposes a real-time online monitoring system to solve the problem by using AD7606 high-precision ADC chip and STM32 single-chip microcomputer. AD7606 realizes real-time acquisition and conversion of three-phase power data. STM32 performs wavelet transformation on the collected data to obtain power quality parameters. It stores the power quality parameters in the SD card and then uploads the power quality parameters to the host computer through Lora to display each power quality parameter in real time. Experiments show that the system can reliably realize on-line real-time monitoring of the power quality of photovoltaic power generation.

Research and Practice of Vehicle-mounted Mobile CT Based on Emergency Medical Rescue

In order to solve the problem of inadequate CT screening ability in emergency medical rescue in remote mountainous areas, high-altitude areas, other public health events and sudden natural disasters, a vehicle-mounted mobile CT suitable for emergency medical rescue is studied. A vehicle chassis system suitable for long-distance transportation and a cabin system suitable for epidemic prevention and control was designed. A domestic 32-slice CT with small volume, light weight and high stability was selected to design a vehicle-mounted mobile CT suitable for emergency medical rescue. The high-performance vehicle-mounted mobile CT can provide rapid support, and provide large-scale screening, emergency medical rescue, a supplement to daily CT scanning in peacetime and wartime. The vehicle CT has high stability, fast scanning speed and high social and economic value.

Triboelectric Nanogenerator-Based Near-Field Electrospinning System for Optimizing PVDF Fibers with High Piezoelectric Performance

Electrospinning is an effective method to prepare polyvinylidene fluoride (PVDF) piezoelectric fibers with a high-percentage β phase. However, as an energy conversion material for micro- and nanoscale diameters, PVDF fibers have not been widely used due to their disordered arrangement prepared by traditional electrospinning. Here, we designed a near-field electro-spinning (NFES) system driven by a triboelectric nanogenerator (TENG) to prepare PVDF fibers. The effects of five important parameters (PVDF concentration, needle inner diameter, TENG pulse DC voltage (TPD-voltage), flow rate, and drum speed) on the β phase fraction of PVDF fiber were optimized one by one. The results showed that the electrospun PVDF fibers had uniform diameter and controllable parallel arrangement. The β phase content of the optimized PVDF fiber reached 91.87 ± 0.61%. For the bending test of a single PVDF fiber piezoelectric device, when the strain is 0.098%, the electric energy of the single PVDF fiber device of NFES reaches 7.74 pJ and the energy conversion efficiency reaches 13.5%, which is comparable to the fibers prepared by the commercial power-driven NFES system. In 0.5 Hz, the best matching load resistance of a PVDF single fiber device is 10.6 MΩ, the voltage is 6.1 mV, and the maximum power is 3.52 pW. Considering that TENG can harvest micromechanical energy in the low frequency environment, the application scenario of the NFES system can be extended to the wild or remote mountainous areas without traditional high-voltage power supply. Therefore, the electrospun PVDF fibers in this system will have potential applications in high-precision 3D fabrication, self-powered sensors, and flexible wearable electronic products.

Cultivating Your Agriculture - Branding and E-Commerce Participation in Rural Revitalization

With the development of the times, technology is also continuously improving, and at the same time, more and more things have been widely disseminated, especially online communication. For the ideological characteristics of modern people - reducing trouble and being more receptive to online shopping, but in rural and remote villages, mountainous areas, and other areas, network resources are scarce, even if crop resources are rich and valuable, they cannot be sold in a timely manner, resulting in accumulation or direct decay, so that its economic development is slow that it cannot effectively adapt to the grand event of poverty alleviation. Therefore, in order to create a rural brand and engage e-commerce in rural revitalization in the context of opening up the network, this article surveys the relevant profiles of some rural areas in Guizhou through literature search, field visits, network analysis, questionnaire survey, rural personnel interviews, and other methods, including the frequency of online shopping, the likelihood and willingness of online sales, and the availability of online opening. It is concluded that most areas have high air quality, good soil quality, and a strong sense of unity among the people the people are highly motivated and willing to participate in the team of e-commerce rural revitalization. In order to improve and enhance the development of Yungui agriculture, strategies and suggestions should be made to make good use of branding and e-commerce to participate in rural revitalization, helping to promote Guizhou's characteristic culture.

Detecting the drivers of suspended sediment transport in an intermittent river: An event-based analysis

This study aimed to evaluate the drivers of suspended sediment (SS) transport by analyzing the flood events recorded from July 2010 to June 2011 in the Celone River basin (Apulia, S-E Italy). High-resolution data of rainfall, streamflow (Q), and measurements of suspended sediment concentrations (SSC) were used to carry out the multivariate analysis. Among the initial 18 variables, the Principal Component Analysis revealed that total volume (m3), peak discharge (Qmax, m3/s), and the flood duration were the most important factors influencing SS transport. Total rainfall and total kinetic energy recorded in the gauging station located in the lowland were also important factors, whereas the same rainfall variables recorded in the remote mountainous area of the basin had a minor influence on SS transport. Antecedent moisture conditions were significantly correlated only with the initial discharge of the flood. Hysteresis loops between SSC and Q were analyzed for each flood event by using the hysteresis index (HI). Results showed that this catchment was dominated by anticlockwise loops (negative values of HI) representative of delayed SS transport and of distant SS source areas in terms of the gauging station. These results also suggested that soil erosion from hillslopes was the dominant process compared with channel and bank erosion and that there was no exhaustion of sediment availability in the basin.

Application of genetic and Spatially Explicit Capture-Recapture analyses to design adaptive feral cat control in a large inhabited island

Faunas of oceanic islands have a high proportion of endemic species which contribute to the uniqueness of island communities. Island species are particularly naïve and vulnerable to alien predators, such as cats (Felis catus). On large, inhabited islands, where the complete eradication of feral cat populations is not considered feasible, control represents the best management option to lower their detrimental effects on native fauna. The first objective of our study was to investigate population genetics of feral cats of Réunion Island. The second objective was to understand the space use of feral cats established near the breeding colonies of the two endemic and endangered seabirds of Réunion Island, the Barau’s Petrel (Pterodroma baraui) and the Mascarene Petrel (Pseudobulweria aterrima). We evaluated genetic diversity, population structure and gene flow amongst six groups of feral cats located at a maximum of 10 km from known petrel colonies. We also analysed the behaviour and space use of one of these feral cat groups using camera-trap data and Spatially Explicit Capture-Recapture (SECR) models. Genetic analyses revealed that feral cats were structured in three genetic clusters explained mostly by the island topography. Two clusters were observed at five sampled sites, suggesting high connectivity amongst these sites. The last cluster was found in only one site, suggesting high isolation. This site was a remote mountain area located in the vicinity of one of the main Barau’s Petrel colonies. The behavioural study was conducted on this isolated feral cat population. Mark recapture analysis suggested that feral cats were present at low density and had large home ranges, which is probably explained by reduced food availability. Finally, we make several recommendations for refining feral cat management programmes on inhabited islands.

Tracing the origin of an imported HIV-1 sub-subtype A6 strain first identified in Zhejiang Province, China.

Human migration and mobility have been identified as key drivers of HIV dissemination among nations, which increases the problem of genetic diversity. Here, we report the near full-length genome of HIV-1 A6 identified in a female patient in the remote mountain area of Lishui, Zhejiang Province, which is the first time A6 has been reported in China. The near full-length genome was amplified with two large amplicons of 5.5kb and 3.7kb, and then target PCR products were sequenced by Sanger sequencing. The A6 strain was confirmed by the Basic Local Alignment Search Tool (BLAST) and a maximum-likelihood (ML) phylogenetic tree. The time to the most recent common ancestor (tMRCA) was inferred to be 2004 (95% HPD interval: 2003-2006). The sequence harbored the L74I mutation, which is a key characteristic genetic marker of A6. Combining the above evidence with epidemiological investigations, this A6 strain was determined to be from Ukraine, which was supported by phylogenetic analysis. This study identified a foreign imported strain, indicating a trend of increasing complication in the HIV-1 epidemic in Zhejiang, China.

Mountainous village relocation planning with 3D GIS virtual imaging space model and neural network

ABSTRACT China’s mountainous village relocation planning faces the problems of extensive survey ranges and high travel costs, and current planning still depends on traditional field visits and census data survey method. To improve efficiency and control costs, digital survey methods are proposed to support efficient data collection and produce data with accurate spatial reference . This research discusses a specific survey method for relocation planning using virtual imaging space modeling based on 3D GIS combined with neural network algorithm. A digital village model of a pilot village is established by oblique photography and WEBGIS technology, while the improved Mask R-CNN algorithm is adopted to identify and classify different buildings in the village. A relocation plan including the number of buildings in each class and the reclamation area is provided and the cost and value of the plan is fully evaluated. The results demonstrate that compared with the traditional survey method, the proposed method of digital survey can better address the issue of remote mountain areas, including provide more accurate, complete and sustainable information, make the surveying and planning more convenient, efficient and smart and improve the objectivity of village relocation planning.

Spatio-Temporal Variation and Its Driving Forces of Soil Organic Carbon along an Urban-Rural Gradient: A Case Study of Beijing.

Rapid urbanization has reshaped land cover and the ecological environment, potentially improving or deteriorating soil organic carbon (SOC). However, the response of SOC to urbanization has not yet been fully exploited. Herein, by using the land-use transfer matrix, the Sen & Mann-Kendall tests, the Hurst index, and a geographical and temporal weighted regression (GTWR) model, as well as an urban-rural gradient perspective, we assessed the dynamic response of SOC to Beijing's urbanization from 2001 to2015 and identified the main drivers. The results found that SOC stock decreased by 7651.50 t C during the study period. SOC density varied significantly along an urban-rural gradient, with high value areas mainly being located in remote mountainous rural areas and low value areas mainly being located in urban areas on the plains. There was an uneven variation in SOC density across the urban-rural gradient, with suburban areas (25-40 km away from urban cores) losing the most SOC density while urban areas and rural areas remained relatively unchanged. GTWR model revealed the spatio-temporal non-flat stability of various driving forces. Precipitation, the proportion of forest, the proportion of grassland, the population, distance to the urban center, the slope, and the silt content are the main factors related to SOC stock change. As a result, we suggest policy makers reconceptualize the uneven variation in the SOC between urban and rural areas, emphasize suburban areas as a target for controlling SOC loss, and take into consideration the spatial and temporal heterogeneity of the factors influencing SOC stock when evaluating policies.

Research on the Effect of Pinduoduo's Agricultural Support and Poverty Alleviation in China

Upon the implementation of the 12th Five-Year Plan, our government gives great impetus to the poverty alleviation via Internet plus agriculture and e-commerce. With the popularization of rural Internet and the improvement of e-commerce related infrastructure, the project has achieved certain results. Pinduoduo is a typical case company of e-commerce poverty alleviation, because it actively responds to the national call, vigorously participates in the cause of poverty alleviation and agricultural support, uses its own advantages of e-commerce sales, integrates the entire chain including the source purchase of agricultural products, logistics distribution, consumer terminal services, and solves the problems of agricultural production and sales in remote mountainous areas, so as to support the local agricultural development, improve the local economic level, and give assistance to the government eliminate the poor population. This paper takes Pinduoduo as a case analysis object to analyze the motivation, mode and effect of poverty alleviation through Pinduoduo, and puts forward conclusions and suggestions based on personal research results.

A student-driven multilevel approach for increasing energy sustainability of remote areas in the Emilia Romagna Apennines

This paper is aimed at discussing a series of energy sustainability solutions proposed by a master class of students in environmental engineering using analytical and visual collaborative tools. The activities described are part of the class “Sustainability and renewable sources” at the University of Modena and Reggio Emilia. Six groups of 3-4 students worked on six energy efficiency and sustainability projects chosen from a remote area of the Apennines in Emilia Romagna. The specificity of the case-study framework allowed the implementation of projects where different sustainability aspects are integrated using tools of transitional thinking: agro-food production, use of renewable energy sources, waste management and social integration were considered. Each group identified the key actors for each project, allowing them to approach sustainability from a multilevel perspective. Net Present Value analyses were applied to evaluate economic viability of each project. Photovoltaic power plants and boilers fueled with local wood are the main renewable energy source identified to promote energy sustainability in each project. As result, the combination of the six works creates a powerful tool to demonstrate possible best practices for remote mountain areas.

Can information and communication technologies contribute to poverty reduction? Evidence from poor counties in China

ABSTRACT Information and communication technologies (ICTs) have received increasing attention in recent years as a promising means to address poverty challenges in rural China. This paper uses a unique three-wave panel data set of household surveys, collected from seven officially recognized poor counties in rural China during 2012–2018, to examine the effect of ICT adoption on poverty. The results show that ICTs contributed positively to poverty reduction in the sampled counties, which may have been primarily achieved through increased migration and off-farm income, instead of through improved agricultural production and farm income. This suggests that ICT development facilitated households escaping poverty by helping them diversify their livelihood strategies away from agriculture in remote mountainous areas. The findings highlight the importance of creating incentives to complement the opportunities brought by ICTs for local development. It is important to strike a balance between poverty reduction and food security objectives.

Climate change traces on Lhonak Glacier using geospatial tools

The northwestern side of Sikkim Himalayas is selected to study the climatic variability. In this study, the regional assessment of glacier lakes area increasing over the 30 years is calculated and correlated with the land surface temperature using Geospatial technology in the North West Sikkim Himalaya. For this site, glacier lakes have been mapped with Landsat (4–5) MSS/TM and Landsat 8 (OLI) satellite imagery acquired in the years 1990, 1995, 2000, 2005, 2010, 2015 and 2020. The glacier area (North Lhonak glacier, Lhonak glacier, and South Lhonak glacier) and the glacier lakes area are calculated for the given years, and found that area of the glacier is shrinking and area of the Lhonak and South Lhonak lake is increasing over the years. The land surface temperature of the area was calculated in this study to determine the rate at which the temperature of the area has increased over the years. Due to surface temperature rise, the glaciers are melting, and this melting of glaciers is increasing the area of Lhonak glacier lake and South Lhonak glacier lake. Remote sensing and GIS technique are very helpful to evaluate the risk assessment of GLOFs for remote mountainous areas.

Species richness and turnover patterns for tropical and temperate plants on the elevation gradient of the eastern Himalayan Mountains

Understanding species’ elevational distributions in mountain ecosystems is needed under climate change, but remote biodiverse mountain areas may be poorly documented. National Forest Inventories (NFIs) offer a potential source of data. We used NFI records from Bhutan to ask three questions about elevational richness patterns of Himalayan woody plant species. First, does the mean elevation for all species differ from those species whose entire elevational distribution is recorded in the survey? Second, how does the elevation of maximum richness differ when combining species originating from temperate and tropical regions vs. analyzing them separately? And third, do the highest species turnover rates adjoin elevation zones of maximum species richness? We used 32,198 species records from 1685 forest plots along a 7570 m gradient to map species elevation ranges. Species whose entire range was documented were those whose lowest records are located above 400 m, while bare rock defined all species’ upper limits. We calculated species richness and turnover using 400 m elevation bands. Of 569 species, 79% of temperate and 61% of tropical species’ elevation ranges were fully sampled within the NFI data. Mean elevation of tree and shrub species differed significantly for temperate and tropical species. Maximum combined species richness is from 1300 to 1700 m (277 species), differing significantly from maximum tropical (900–1300 m, 169) and temperate species richness (2500–2900 m, 92). Temperate tree turnover rate was highest in the bands adjoining its maximum species richness (2500–2900 m). But turnover for tropical trees was highest several bands above their maximum species richness, where turnover and decrease in richness interact. Shrub species turnover patterns are similar, but rates were generally higher than for trees. Bhutan’s NFI records show that woody plant species are arrayed on the Himalaya in part according to floristic origins, and that combining temperate- and tropical-originating floras for gradient-based studies such as species richness and turnover obscures actual elevational patterns. In addition, species whose ranges extend below the Himalayan elevation gradient should be accounted for in future studies that correlate climate and environment factors with elevational species richness patterns.

The Influence of Popular Science Short Video on the Cognitive Construction of Minors in Remote Mountainous Areas in China

With the comprehensive advancement of Chinese Internet infrastructure construction, the gap between urban and rural netizens has gradually narrowed, and the penetration of the Internet into minors in remote mountainous areas has gradually increased. In recent years, short video platforms, the number of users, and the number of works have exploded. Popular science videos, as an important branch of short videos, provide young people in remote areas with a window into science, narrowing the “knowledge gap” of urban and rural minors. The supervision and review of the content of short videos cannot be adapted in a timely manner. Under the trend of "flow monetization", people with ulterior motives rely on vulgar and marginal content to win the public's attention, and at the same time, minors in remote mountainous areas cannot correctly judge short videos of popular science. The quality of the content and the lack of timely and appropriate supervision are not conducive to the growth of minors in remote mountainous areas and the shaping of their outlook on life, values, and world outlook. By sorting out and analyzing the cognitive construction of minors in remote mountainous areas through the dissemination of popular science short videos, this paper proposes corresponding solutions from three aspects: society, school and family, and expects to contribute little to the solution of the problem.

Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain

Future communication networksrequire higher bandwidth, greater coverage, and better throughput. The Space-Air-Ground Integrated Network (SAGIN) has the advantage of wide-area coverage and can cover global communications. It can meet the needs of network resources for maritime activities and remote mountainous areas, which is of great significance to the realization of a new generation of communications networks. With the development of the network and the emergence of delay-sensitive applications such as the Internet of Things, improving the delay performance of the system has received extensive attention. SAGIN involves multiple networks and is more complex than other networks. If there is no reasonable management between different networks, it is easy to lead to difficult link deployment and high time delay. On the basis of research and customization of SFC technology, it can provide a wide range of services and other advantages. It has significant performance in application scenarios involving multi network integration. In order to solve the above problems, this paper studies the SAGIN architecture of SFC based on business types. A service function chain mapping method based on delays prediction is proposed. Calculate the delay of the deployment path and select the path with the lowest delay as the SFC mapping path. The service model is constructed according to the mapping path, and the network slices are divided based on the service type. The simulation results show that the SFC mapping algorithm based on time delay prediction is compared with the traditional SFC mapping scheme. The algorithm does not affect other indicators, the CPU resource utilization rate is 27.8 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> higher, and the link resource utilization rate is 22.7 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> higher. The service acceptance rate increased by 21.5 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> , the latency performance increased by 38.2 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> , and the total resource consumption is reduced by 25.2 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> .

Topological mapping of complex networks from high slope deformation time series for landslide risk assessment

With the continuous expansion of infrastructure coverage, construction is gradually shifting to remote mountainous areas, where high slopes are very prone to safety problems, such as landslides and collapses. Existing projects involving high slopes generally avoid engineering accidents by monitoring the deformation at discrete observation points on the slope. However, this approach tends to ignore the interaction between observation points and fails to assess the risk of excessive slope deformation from a systematic perspective. Existing methods rely mainly on the comparison between observed/predicted values and national standards/design requirements, which may lead to risk assessment bias and wrong decisions due to their subjective nature. In this paper, a method based on the analysis of observed data is proposed, by transforming high slope deformation time series into a complex network, which is then used to calculate and determine its network parameters, aiming to analyze the internal topology of the data and assess the potential risk of excessive slope deformation. China's Menghua Coal Transportation Railway was used as an example to verify the effectiveness of the method. The results showed that the method can reveal the systematic characteristics of the interaction between and influence of different observation points on the slope at the macro level and explore the topological characteristics within the deformation time series at the micro level. The relationship between the macroscopic and microscopic network characteristics and the environmental risk distribution across the high slope is established, which can accurately assess the deformation risk of high-slope construction from a systematic perspective and provide theoretical support for risk assessment and safety management in real projects.

Equilibrium of Tiered Healthcare Resources during the COVID-19 Pandemic in China: A Case Study of Taiyuan, Shanxi Province.

COVID-19 has caused more than 500 million infections and 6 million deaths. Due to a continuous shortage of medical resources, COVID-19 has raised alarm about medical and health resource allocation in China. A balanced spatial distribution of medical and health resources is a key livelihood issue in promoting the equalization of health services. This paper explores the spatial allocation equilibrium of two-tier medical and health resources and its influencing factors in Taiyuan. Using extracted POIs of medical and health resources of AMAP, we evaluated the spatial quantitative characteristics through the Health Resources Density Index, researched the spatial distribution pattern by kernel density analysis, hot spot analysis, and service area analysis, and identified the influencing factors of the spatial distribution equilibrium by the Geodetector model. The findings are as follows. The overall allocation level of medical and health resources in Taiyuan is low. There are tiered and regional differences; the response degree of primary care facilities to external factors is greater than that of hospitals; and the comprehensive influence of economic and topographic systems is crucial compared with other factors. Therefore, in order to promote the rational spatial distribution of medical and health resources in Taiyuan and to improve the construction of basic medical services within a 15 min radius, it is important to continuously improve the tiered healthcare system, uniformly deploy municipal medical and health resources, and increase the resource allocation to surrounding counties and remote mountainous areas. Future research should focus on collecting complete data, refining the research scale, analyzing qualitative differences, and proposing more accurate resource allocation strategies.

New Insights into Ice Avalanche-Induced Debris Flows in Southeastern Tibet Using SAR Technology

Drastic climate change has led to glacier retreat in southeastern Tibet, and the increased frequency and magnitude of heavy rainfall and intense snow melting have intensified the risk of ice avalanche-induced debris flows in this region. To prevent and mitigate such hazards, it is important to derive the pre-disaster evolutionary characteristics of glacial debris flows and understand their triggering mechanisms. However, ice avalanche-induced debris flows mostly occur in remote alpine mountainous areas that are hard for humans to reach, which makes it extremely difficult to conduct continuous ground surveys and optical remote sensing monitoring. To this end, synthetic aperture radar (SAR) images were used in this study to detect and analyze the pre-disaster deformation characteristics and spatial evolution in the Sedongpu Basin and to detect changes in the snowmelt in the basin in order to improve our understanding of the triggering mechanism of the ice avalanche-induced debris flows in this region. The results revealed that the maximum average deformation rate in the basin reached 57.3 mm/year during the monitoring period from January 2016 to October 2018. The deformation displacement in the gully where the ice avalanche source area was located was intimately correlated with the summer snowmelt and rainfall and was characterized by seasonal accumulation. Clear acceleration of the deformation was detected after both the most recent earthquake and the strong rainfall and snowmelt processes in the summer of 2018. This suggests that earthquakes, snowmelt, and rainfall were significant triggers of the Sedongpu ice avalanche-induced debris flows. The results of this study provide new insights into the genesis of the Sedongpu ice avalanche-induced debris flows, which could assist in disaster warning and prevention in alpine mountain regions.