Local Disaster Research Articles

Local Community Participation Seasonal Flood Disaster in Sidoarjo Regency, East Java

Irrigation in Sidoarjo Regency Drainage System Complex area of carrier channels to irrigation of the drainage (AFVOUR) in the display of water level regulators. High water surface in the channel causes slow flow of rain water catchment to a puddle. Conditions are exacerbated by backwater in the river channel in the area near the coast when the tide, causing floods to not be directly receding. Synergy has a combination of integration of various elements (for example, stakeholders) optimizing something better, legitimacy is considered to equalize perception hoping that actions are carried out in the desired action entity, appropriate according to value norms. Case Study Case data applies certain cases are generalized. Case study data is possible to be used to explore, examine comprehensiveness of a research object. Analysis of data using atlas, The weakness of the government's supervisor handles industrial waste into the River Peraul in Sidoarjo Regency, Urban Sprawl Social Impact Urbanization in big cities, controlling urbanization Increases development using the approach to touch the needs of the community needed Village, equity, spread of village remote development, the level of participation and understanding of the community provides feedback related to the concept of handling routine flood disasters every year. Seasonal flood disaster control in Sidoarjo Regency by involving local communities is an important approach by direct supervision by local communities, counseling on good water management practices, emergency response training, community based infrastructure development, coordinating between the government, local communities, form of concrete participation Local community in Sidoarjo Regency.

Evaluating the robustness of the ARIO model for a local disaster: 2021 flooding in Germany

Abstract Given the interconnectedness of modern economies and the widespread adoption of just-in-time production methods, even minor disruptions caused by natural disasters can lead to substantial indirect economic impact. A substantial body of literature has explored this phenomenon, using input-output analysis, computable general equilibrium and agent-based models. However, these models (i) heavily rely on parameters and data that often lack empirical grounding or (ii) exhibit considerable uncertainty, making it challenging to assess their reliability. The ARIO model has been widely used in the literature and has provided theoretical foundation for several related models. Using the July 2021 floods in Germany as a case study, we assess the sensitivity of the results of this model by varying key parameters, as well as the multi-regional input-output tables (MRIOTs), which constitute its primary input data. To facilitate this analysis, we introduce a new, resource-efficient Python implementation of the ARIO model, enabling the execution of a large number of simulations. Our findings highlight the substantial impact of data source and parameter selection on model outcomes, especially so when post-disaster rebuilding is costly. To ensure the robustness of their results, future studies on indirect economic impacts should be careful about recovery dynamics, consider multiple scenarios and compare results using MRIOTs from various sources.

Coordination mechanisms applied to logistical systems for local disaster preparedness: a Latin American case

Purpose The study aims to present an agent-based simulation model (ABM) for exploring interorganizational coordination scenarios in local disaster preparedness. This approach includes local actors and logistical processes as agents to compare various strategic coordination mechanisms. Design/methodology/approach The ABM model, developed in the Latin American context, specifically focuses on a case study of Colombia. Three coordination mechanisms (centralized, decentralized and cluster-type) have been evaluated using three performance indicators: effectiveness, efficiency and flexibility. Findings Simulation results show that the decentralized scenario outperforms in terms of efficiency and flexibility. On the contrary, the centralized and cluster-type scenarios demonstrate higher effectiveness, achieving a greater percentage of requirements coverage during the disaster preparedness stage. The ABM approach effectively evaluates strategical coordination mechanisms based on the analyzed performance indicators. Research limitations/implications This study has limitations due to the application of results to a single real case. In addition, the focus of the study is primarily on a specific type of disaster, specifically hydrometeorological events such as flash floods, torrential rains and landslides. Moreover, the scope of decision-making is restricted to key actors involved in local-level disaster management within a municipality. Originality/value The proposed ABM model has the potential as a decision-making tool for policies and local coordination schemes for future disasters. The simulation tool could also explore diverse geographical scenarios and disaster types, demonstrating its versatility and broader applicability for further insights and recommendations.

Linking regional economic impacts of temperature-related disasters to underlying climatic hazards

Abstract Temperature-induced disasters lead to major human and economic damage, but the relationship between their climatic drivers and impacts is difficult to quantify. In part, this is due to a lack of data with suitable resolution, scale and coverage on impacts and disaster occurrence. Here, we address this gap using new datasets on subnational sector-disaggregated economic productivity and geo-coded disaster locations to quantify the role of climatic hazards on economic impacts of temperature-induced disasters at a subnational scale. Using a regression-based approach, we find that the regional economic impacts of heat-related disasters are most strongly linked to the daily maximum temperature (TXx) index. This effect is largest in the agricultural sector (6.37% regional growth rate reduction per standard deviation increase in TXx anomaly), being almost twice as strong as in the manufacturing sector (3.98%), service sector (3.64%), and whole economy (3.64%). We also highlight the role of compound climatic hazards in worsening impacts, showing that in the agriculture sector, compound hot-and-dry conditions amplify the impacts of heat-related disasters on growth rates by a factor of two. In contrast, in the service and manufacturing sectors, stronger impacts are found to be associated with compound hot and wet conditions. These findings present a first step in understanding the relationship between temperature-related hazards and regional economic impacts using a multi-event database, and highlight the need for further research to better understand the complex mechanisms including compound effects underlying these impacts across sectors.

Local Wisdom-Based Disaster Mitigation Efforts in Grebeg Suran Sedekah Laut for Coastal Communities (A Folkloric Study in Mirit Sub-District, Kebumen District)

This research aims to analyse local wisdom on disaster mitigation in grebeg suran sedekah laut. The research was conducted to find disaster mitigation efforts that can be carried out by coastal communities based on local wisdom. This research used a qualitative approach with descriptive data type. The study used in this research is folklore studies. The participants in this research were community leaders who became key informants, fishing communities, and the general public in Mirit Subdistrict, Kebumen Regency. The data collection technique in this research is by conducting interviews. The results showed that grebeg suran sedekah laut consists of several series of processions and prayer poems that have fundamental meanings, functions, and roles for people's lives. The ritual structure of grebeg suran sedekah laut has a meaning that contains a form or effort of disaster mitigation based on local wisdom that can be utilised by the community to reduce the risk of disasters at sea. Disaster mitigation in the grebeg suran sedekah laut tradition is in the form of local knowledge about titen science and actions taken by the community. This research can be used as a means of educating the current generation about disaster mitigation efforts in grebeg suran sedekah laut and as cultural revitalisation.

NATECH POTENTIAL DUE TO EMERGING CLIMATE HAZARDS AND AWARENESS OF THE LOCAL STAKEHOLDERS IN THE COASTAL INDUSTRIAL SITE OF KUALA SELANGOR, MALAYSIA

Climate change may put more industrial sites at risk of Natech incidents, particularly in coastal areas due to the compounding effects of climate hazards. This study investigates industrial facilities with potential for Natech due to emerging floods and delineates awareness of the exposed stakeholders, using the best available information, to strengthen local level climate change adaptation and disaster resilience in IKS Kuala Selangor, Malaysia. Two major methods were employed, conceptual site modelling using the source-pathway-receptor-consequence approach and semi-structured interviews to get insights from the local stakeholders. Findings reveal that in the worst-case scenario, manufacturing industries are exposed to floods, have limited flood protection and unknown containment and storage measures of hazardous materials within their facilities. While the high concentration of total metals in the surrounding topsoil has not been linked directly to the manufacturing industries, they have potential for Natech in future flood events. An area with environmentally available lead and arsenic accumulation linked to agricultural activities is also a potential point source for pollution during flood events in the worst-case scenario. Although most of the exposed local stakeholders are aware of climate hazards, they are not prepared for the risks of Natech. The local adaptation plan should include awareness building on Natech targeting the exposed local stakeholders as well as adequate flood protection and updated guidance on managing the safety of hazardous materials at manufacturing industry facilities.

Construction and assessment of a fire risk index system for typical grasslands in Xinjiang, China

BackgroundFire hazards have a substantial impact on grassland ecosystems, and they are becoming more frequent and widespread because of global changes and human activities. However, there is still a lack of a widely accepted or practical method to evaluate grassland fire risk. In our study of typical grasslands in northern Xinjiang, we selected 18 evaluation indicators for grassland fires from three aspects of hazard, exposure, and vulnerability. Employing the analytic hierarchy process, weighted comprehensive evaluation method, and standard deviation classification, we determined the fire risk level thresholds, aiming to develop efficient and precise methods for assessing grassland fire risks, and ultimately created a grid-based map of grassland fire risk levels.ResultsThe risk level of grassland fires is determined by the combined spatial heterogeneity of fire-causing factors’ hazard and fire hazard-bearing bodies’ vulnerability and exposure. The hazard of grassland fire and fire hazard-bearing bodies’ vulnerability and exposure are dominated by medium level and medium–low level. Most areas of grassland fire risk levels are medium–low, medium, or medium–high risk, with few areas being high risk or low risk. The grassland fire risk exhibits a spatial distribution characterized by higher risks in the western and lower in the eastern; high and medium–high risk areas are primarily distributed in the western and some northeastern regions of the study area. The simulate result effectively represents the spatial distribution of grassland fire in the research area.ConclusionWe established a grassland fire risk index system and model, creating a spatial distribution map of grassland fire risk levels based on grid. Few grassland areas have fire risks and show a patchy distribution. The results generally reflect the spatial distribution pattern of grassland fire risks in the study area. This research provides technical support for scientifically formulating local grassland fire disaster prevention and relief strategies.

The effectiveness of a disaster preparedness educational intervention for wheelchair users: A pilot study

ObjectiveThis pilot study aimed to test the effectiveness of disaster preparedness education for wheelchair users and improve their self-management skills during emergencies. MethodsA pre-post self-controlled experimental study was conducted. The intervention included one educational session covering the following: (1) Knowledge about local frequent disasters,. (2) Development of a tailored disaster preparedness plan for wheelchair users. (3) Preparation of a disaster kit. The methods included lectures, discussions, and scenario responses to disasters. Disaster preparedness knowledge, attitudes, and behaviors were assessed before, after and one month follw-up intervention. Results20 wheelchair users with average age of 41.2 ± 7.68. Most of them reported proficiency in wheelchair using. The educational intervention significantly improved knowledge and attitude scores post-intervention, with knowledge scores rising from 8.00 ± 2.25 to 13.85 ± 0.37 and attitude scores from 47.05 ± 6.45 to 52.30 ± 3.87. At the one-month follow-up, there was a slight regression in knowledge(11.00 ± 1.65) and attitude scores(50.70 ± 3.94) but still significantly higher than pre-intervention levels. Behavior scores were assessed only at pre and follow-up measurement points, with an increasing trend from 3.60 ± 1.93 to 8.60 ± 2.89, indicating sustained improvement in disaster preparedness behaviors. The study highlights the need for sustainable intervention methods due to the observed decline in knowledge retention and attitude over time. ConclusionThe tailored disaster preparedness education for wheelchair users significantly improved their knowledge, fostered positive attitudes, and encouraged proactive behaviors in response to disasters. To sustain these positive outcomes, ongoing educational reinforcement and periodic updates are essential, especially for vulnerable populations like wheelchair users.

The spatial impact of international reconstruction aid in the aftermath of the 2015 Gorkha earthquake

The 2015 Gorkha earthquake in Nepal caused significant property and life loss, triggering a large influx of international reconstruction aid. This paper investigates the spatial implications of this international aid, particularly in Lalitpur. It examines how aid from NGOs and bilateral and multilateral agencies affects urban spaces, including rent, land values, and infrastructure distribution. The study focuses on Wards hosting aid projects and personnel and compares these to earthquake-affected Wards without aid presence as a counterfactual.Two key points emerge: 1) The clustering of aid organization headquarters (operational presence) creates negative externalities, favoring a rentier class over equitable distribution of housing and infrastructure. 2) Aid-funded reconstruction projects (project presence) shift amenities and businesses, accelerating inequity in ways distinct from operational presence. Two Wards in Lalitpur show notable negative impacts, including rising rents, changes in small businesses, and a shift towards catering to the rentier class due to the effects of aid.The research provides policy recommendations for local governments and disaster management authorities in Nepal to address these unequal impacts. Recommendations include monitoring and evaluating aid effects over time, collaboration, and the promotion of transparency in urban development and fiscal resilience.

Dynamics of knowledge creation and use for disaster management in Chokwe district, Mozambique

PurposeDisaster management practices depend on societies' knowledge. As climate change rapidly reshapes knowledge, questions arise about how knowledge for disaster management is produced and (re)shaped in modern world and how effective it is to withstand the ever-growing frequency and magnitude of disasters. This paper discusses the dynamics of knowledge creation and its use for disaster management in Chokwe district, southern Mozambique.Design/methodology/approachThe study reviews historical archives to identify how disaster management knowledge has changed from pre-colonization to the present.FindingsBefore colonization, local knowledge associated with traditions of asking gods and ancestors for rain and blessings in life prevailed. With colonization, around the 1500s, Portuguese rulers attempted to eliminate these local practices through an inflow of European settlers who disseminated scientific knowledge, built dams and irrigation schemes, which changed the region’s knowledge base and regimes of flooding and drought. After independence in 1975, the new government nationalized all the private property, expelled the settlers and imposed a socialist order. All knowledge on disaster management was dictated by the new government; those against this new order were sent to re-education centers implanted nationwide. Centralization of knowledge and power was, therefore, implanted. Socialism collapsed by the 1990s, and over time, there has been an amalgam of different knowledge bases and attempts to recognize local disaster management practices.Originality/valueThe Chokwe case shows that knowledge for disaster management evolves with local socioeconomic, political and environmental changes.

Urban planning for health: experiences from 12 European cities of building resilience at the local level

ABSTRACT Emergencies can become transformative experiences for cities: an opportunity to rethink, replan and rebuild, and to push for changes that can make them more healthy, sustainable, equitable and resilient. As part of the Protecting environments and health by building urban resilience project led by the WHO European Centre for Environment and Health, we conducted semi-structured interviews with local government representatives in 12 European cities on their practical experiences with local emergencies and disasters. Interviews focused on how the cities had approached urban planning and infrastructure design as a lesson learned from experienced disasters, in order to become more resilient to future events. Through a thematic analysis, specific plans and actions are compiled under 5 main topics: coordinate and communicate; go local; go green; rethink, rebuild and regulate; maintain a long-term vision. These lessons learned are then applied to three well-known healthy urban planning principles: (i) reducing risk exposure through planning; (ii) ensuring local access to basic services; and (iii) promoting active mobility.

Multi‐Hazard Interrelationships and Risk Scenarios in Urban Areas: A Case of Nairobi and Istanbul

AbstractThis paper introduces a methodology for characterizing the breadth of natural hazard types, hazard interrelationships, and risk scenarios in Global South urban areas, focusing on Nairobi, Kenya, and Istanbul, Türkiye. Our approach involves (a) a comprehensive characterization of multi‐hazards and their interrelationships in an urban setting, (b) collaborative development of relevant multi‐hazard scenarios with local disaster risk reduction (DRR) stakeholders, and (c) analysis of the potential for integrating these scenarios into urban DRR efforts. Using a critical review of 135 sources (academic and gray literature, databases, online, and social media), we identify 19 natural hazard types that might influence Nairobi and 23 in Istanbul. We further identified in Nairobi 88 and Istanbul 105 hazard interrelationship pairs (e.g., an earthquake triggering landslides) out of a possible 576 interrelationships. These findings are cataloged in an extensive database, which informs the creation of multi‐hazard risk scenario exemplars for each city. These exemplars are refined through stakeholder engagement, involving four workshops (47 participants) and nine semi‐structured interviews with local DRR stakeholders. Despite the identified benefits, this engagement reveals a significant gap in integrating multi‐hazards into current urban policy and practice. Governance challenges are highlighted as a key barrier, but opportunities for better integration are also identified, including evolving policies and growing awareness among urban actors. Our approach, particularly relevant in data‐scarce urban areas of low‐ and middle‐income countries, provides a framework for exploring multi‐hazard issues in various urban contexts.

Macro–micro correlation analysis on the loess from Ili River Valley subjected to freeze–thaw cycles

The Ili River Valley in Xinjiang, China, is a typical seasonal frozen area where loess landslide disasters have become increasingly common during the freeze–thaw periods in recent years. This study analyzed the macroscopic mechanical strength and microstructure changes of the Ili loess under different freeze–thaw cycles (FTCs) through the post-freeze–thaw triaxial compression test on the unsaturated soil in laboratory. Apart from the scanning electron microscopy (SEM), and the nuclear magnetic resonance (NMR), the macro–micro correlation analysis and the cluster-principal component analysis were applied for the theoretical discussion. The results indicated that the cohesive force of the loess exhibits an initial decreases, followed by the increases, and eventually keep stable after various FTCs, while the internal friction angle showed the opposite developing trend before the final constant. Similar to the strong correlation between the cohesive force and the particle abundance, the internal friction angle is also closely related to the abundance and orientation fractal dimension of the loess particles. However, the principal component analysis results showed that cohesive force strongly correlates with the average maximum pore size and the pore size fractal dimension, for which the internal friction angle most strongly affected by the average maximum particle size. The possible reason is that the extracted principal components represent a class of microscopic parameters with the same or similar change trend, although there may be a certain offset between them. The mechanical deterioration of loess is attributed to the repeated frost heaving force and the migration potential caused by FTCs. The alterations of the microstructure accelerated the deterioration of the macroscopic mechanical properties of the loess, which further widens the understanding of the mechanism behind the deterioration of loess mechanical strength in the Ili River Valley under FTCs, and contributes to the prevention and management of the local landslide disasters.

Edukasi dan Mitigasi Bencana yang Optimal melalui “Pos Iklim” Desa Pakis Kabupaten Jember

In terms of Indonesian geography lies in an area that's in the Pacific ring, putting Indonesia in the form of a country with a high threat of disaster. Team of PPK Ormawa IMPA Akasia took issue of breis in jember district pakis as the village historic there was a flood that caused loss of property, objects, to the lives of villagers. The purpose of this devotion is divided into three, namely, young people and rural communities that are conscious and understanding of the urgency of the education of transcanaan, the two create bastions of communities focused on addressing climate adaptation and mitigation, and the third is creating a map of the location of village disaster and a reduced location of vulnerable areas in the village. The method employed is divided into three preparatory, implementation, and supervision processes. The climate post is expected to solve the problems of the existing in the pakis village and can independently develop programs consistent with existing potential in the village to address the optimum climate post with the needs of village people.

Communication Strategy of BPBD of East Java Province in Reducing Disaster Risk: Case Study of Disaster Prevention Socialization

This study focuses on the effectiveness of the communication strategy of the East Java Provincial Disaster Management Agency (BPBD) in disaster socialization. Using a qualitative approach and case study method, this study evaluates the selection of communicators, target setting, messages, and communication media used. The results of the study indicate that selecting the right communicator, including collaboration with the Regency/City BPBD and experts, significantly increases public understanding of disaster risk. In addition, adjusting messages according to local characteristics and disaster vulnerability levels is effective in clarifying information to the public. Social media and innovations such as the Disaster Management Education Car (MOSIPENA) and the Disaster Education Tent (TEMPINA) have been proven to expand reach and increase community involvement. The novelty of this study includes an in-depth analysis of the strategy for selecting communicators and cross-sectoral collaboration in disaster communication, as well as the adjustment of innovative and specific messages according to the characteristics of disaster-prone areas. This study also highlights the use of technology and social media to improve the effectiveness of socialization, as well as the implementation of innovative methods in delivering disaster information. These findings offer a practical model for more effective disaster socialization and open up opportunities for further research in the development of disaster communication methods.

Turning every disaster into an opportunity: An exploratory study on refugees’ perceived emergency management capacity and community resilience

This article explores the perceived emergency management capabilities and community resilience among refugees residing in Texas. Adopting the theoretical framework of structural and cognitive social capital, we conducted in-depth interviews with refugees from Afghanistan, Congo, Iran, Myanmar, Somalia, and Thailand. The study identifies the specific needs of the refugee community regarding disaster management and their simultaneous vulnerability and resilience. Based on our research findings, we suggest that local disaster management agencies identify and collaborate with the community leaders in refugee communities to efficiently achieve their communication goals, strengthen refugees' community resilience, and better integrate refugee communities into the local community's resilience development.

Automated Disaster Monitoring From Social Media Posts Using AI-Based Location Intelligence and Sentiment Analysis

Worldwide disasters like bushfires, earthquakes, floods, cyclones, and heatwaves have affected the lives of social media users in an unprecedented manner. They are constantly posting their level of negativity over the disaster situations at their location of interest. Understanding location-oriented sentiments about disaster situation is of prime importance for political leaders, and strategic decision-makers. To this end, we present a new fully automated algorithm based on artificial intelligence (AI) and natural language processing (NLP), for extraction of location-oriented public sentiments on global disaster situation. We designed the proposed system to obtain exhaustive knowledge and insights on social media feeds related to disaster in 110 languages through AI- and NLP-based sentiment analysis, named entity recognition (NER), anomaly detection, regression, and Getis Ord Gi* algorithms. We deployed and tested this algorithm on live Twitter feeds from 28 September to 6 October 2021. Tweets with 67 515 entities in 39 different languages were processed during this period. Our novel algorithm extracted 9727 location entities with greater than 70% confidence from live Twitter feed and displayed the locations of possible disasters with disaster intelligence. The rates of average precision, recall, and F₁-Score were measured to be 0.93, 0.88, and 0.90, respectively. Overall, the fully automated disaster monitoring solution demonstrated 97% accuracy. To the best of our knowledge, this study is the first to report location intelligence with NER, sentiment analysis, regression and anomaly detection on social media messages related to disasters and has covered the largest set of languages.

Design of a Socially Inclusive Climate Risk Transfer Mechanism: A Case Study in La Guajira, Colombia

The primary aim of this study was to develop a model of a socially inclusive climate risk insurance (CRI) mechanism based on the differential risk transfer approach. This study focused on the department of La Guajira, Colombia, as a case study. La Guajira is the department in Colombia that, due to its critical disaster risk conditions, presents the adequate configuration for implementing a climate risk transfer mechanism. The article starts by analyzing risk conditions by using secondary data. Based on fieldwork, this research explored the perspectives of the most vulnerable sectors in La Guajira Department on the socioeconomic impacts and needs they experience regarding climate-related hazards, their adaptive measures for risk reduction, and their willingness to adopt CRI. This represents the fundamental input for the formulation of the CRI model. Consequently, this research proposed an operational structure as input for future implementations of the model. The results indicate that national and local disaster risk management public policies align with the sectors’ needs and priorities. Strengthening sectoral associations can enhance representation in CRI projects. In-kind indemnization is preferred for women entrepreneurs and the indigenous community. The CRI model includes a risk pool through the family compensation fund of La Guajira as a sectoral agglomerator, with contingent credit and traditional/parametric insurance. The methodology developed in this study can be applied in different contexts worldwide as a guidance for informing national and international climate risk finance initiatives.

Study on the Prototype of Platform Tools and Practice Related to the “Sustainability Scoring Index” for Disaster Resilience of Local Governments in Japan

With the intensification and rising frequency of disasters in recent years, implementing disaster preparedness measures has become increasingly important. However, local governments must be prepared for disasters, with their limited resources of personnel and budget, to make the redressal plans relevant for facing problems such as population decline. This study aims to enhance resilience in the field of disaster management by facilitating identification of problems in the disaster management plan of local governments, and promotion of mutual understanding among those involved. For this purpose, a tool has been developed to evaluate local disaster management measures from the viewpoints of both local governments and residents, and to promote smooth communication and coordination among the stakeholders. A questionnaire survey was conducted using an index for self-assessment by local government officials, which was formulated based on the literature of the United Nations Office for Disaster Risk Reduction. Based on the survey results, the elements of resilience were classified into three groups depicting the abilities to collaborate and organize, adapt to the environment, and manage for the next generation. The evaluation was conducted in four local governments. In two regions, the residents’ awareness and preparedness for a disaster were surveyed. The survey results revealed that the questionnaire should be improved; nevertheless, the authors were able to identify the problems of local governments and the fields that the residents do not know sufficiently about. The results indicate the possibility to apply this method in other regions in the future.

The Application of Remote Sensing Technology in Post-Disaster Emergency Investigations of Debris Flows: A Case Study of the Shuimo Catchment in the Bailong River, China

The Bailongjiang River Basin is a high-risk area for debris flow in China. On 17 August 2020, a debris flow occurred in the Shuimo catchment, Wen County, which blocked the Baishui River, forming a barrier lake and causing significant casualties and property damage. In this study, remote sensing, InSAR, field surveys, and unmanned aerial vehicle (UAV) techniques were used to analyze the causal characteristics, material source characteristics, dynamic processes, and disaster characteristics after the debris flow. The results showed that the Shuimo catchment belongs to low-frequency debris flows, with a recurrence cycle of more than 100 years and concealed features. High vegetation coverage (72%) and a long main channel (11.49 km) increase the rainfall-triggering conditions for debris flow occurrence, making it more hidden and less noticed. The Shuimo catchment has a large drainage area of 31.26 km2, 15 tributaries, significant elevation differences of 2017 m, and favorable hydraulic conditions for debris flow. The main sources of debris flow material supply are channel erosion and slope erosion, which account for 84.4% of the total material. The collapse of landslides blocking both sides of the main channel resulted in an amplification of the debris flow scale, leading to the blockage of the Baishui River. The scale of the accumulation fan is 28 × 104 m3, and the barrier lake area is 37.4 × 104 m2. The formation mechanism can be summarized as follows: rainfall triggering → shallow landslides → slope debris flow → channel erosion → landslide damming → dam failure and increased discharge → deposition and river blockage. The results of this study provide references for remote sensing emergency investigation and analysis of similar low-frequency and concealed debris flows, as well as a scientific basis for local disaster prevention and reduction.