Potential Disaster Risk Research Articles

Hydrometeorological Disasters in the Context of the Climate Crisis: A Regional Disaster Inventory Study in Türkiye

The rapid growth of the global population, irregular urbanization and industrialization, present challenges to the sustainability of life and the world is currently facing an increasing prevalence of both natural and anthropogenic disasters. Climate change further exacerbates this situation by contributing to the rising frequency and intensity of hydrometeorological events. To effectively minimize the negative impacts of disasters, knowing assessing and analyzingtheir frequency, intensity, and consequences is essential. This necessitates the development of comprehensive disaster inventories. Such studies involve collecting and analyzing critical data to identify and manage potential disaster risks within specific regions. In this present study evaluates the long-term diversity of hydrometeorological disasters in the Sakarya, Kocaeli, and Istanbul provinces, situated in the Çatalca-Kocaeli section in the Marmara Region of Turkey. The study utilizes data from the General Directorate of Meteorology to analyze hydrometeorological disasters occurring from 1975 to 2020 across these provinces, with a focus on diversity, frequency, damages, and fatalities, evaluated on both an annual and seasonal basis. Damages are classified as light, moderate, or severe. This inventory is designed to offer valuable insights for researchers and policymakers aimed at mitigating loss of life and property damage. Additionally, it encompasses recommendations for disaster risk reduction strategies.

Assessment and application of tropical cyclone clustering in the South China Sea

Accurate classification of tropical cyclone (TC) tracks is essential for evaluating and mitigating the potential disaster risks associated with TCs. In this study, three commonly used methods (K-means, Fuzzy C-Means, and Self-Organizing Maps) are assessed for clustering historical TC tracks that originated in the South China Sea from 1949 to 2023. The results show that the K-means method performs the best, while the Fuzzy C-Means and Self-Organizing Maps methods are also viable alternatives. By applying the K-means method, the distinct characteristics of the four cluster types are investigated. Each type has different characteristics in terms of lifespan, wind speed, frequency of occurrence, Power Dissipation Index, and the spatial distribution of accumulated rainfall. The influence of El Niño-Southern Oscillation (ENSO) is evident in the patterns of TC activity. Specifically, there is a higher frequency of TC activity during La Niña years, whereas during El Niño years, the activity is reduced. This observation highlights the important role that ENSO plays in shaping the behavior of TCs and provides valuable information for predicting and preparing for these events. Understanding the unique characteristics of each cluster can help authorities and communities in the region better prepare for and respond to the potential impacts of TCs.

PENGARUH SOSIAL MEDIA TERHADAP MITIGASI BENCANA BANJIR

Indonesia frequently experiences natural disasters, especially floods. The National Disaster Management Agency (BNPB) utilizes social media to reduce the likelihood of disasters and disseminate information about them. Disaster mitigation is an effort to reduce the risks and impacts of disasters on communities in disaster-prone areas. These disasters can include natural events such as earthquakes, tsunamis, floods, or volcanic eruptions, as well as human-induced disasters such as social conflicts and terrorism. The goal of disaster mitigation is to minimize the risk of fatalities and injuries to residents and reduce losses when hazards occur in the future. This includes mitigating economic losses and damage to public sector infrastructure. The objective of this study is to gain an understanding of how social media can be leveraged to disseminate information about natural disasters and to build public awareness regarding potential disaster risks in the future. Keywords: Disaster mitigation, Floods, Social media, Impact, Society

Assessing Multi-Hazard Risk through Spatial Analysis: A Geographic Information Systems for Susceptibility Mapping in Java Island, Indonesia

Abstract The geographic location and population make Java Island a disaster-prone area with various threats, including earthquakes, floods, landslides, and volcanic eruptions. Based on historical data, these four types of disasters caused a total of US$24,303,159,688 in economic losses in the last 50 years. In regard to the big loss, it is considered important to identify potential disaster risks to avoid more sustainable economic losses in the future. By utilizing developments in Geographic Information Systems (GIS) technology, potential disaster risk mapping could be carried out. The process begins with preparing a map of the potential risk of earthquakes, floods, landslides, and volcanic eruptions by referring to the regulatory document of the head of the National Disaster Management Agency (BNPB) Number 2 of 2012 and Indonesian National Standard (SNI). Afterwards, the potential risk map for each type of disaster will be combined to determine the hazard level of each disaster in 1 square kilometer-sized pixels. The merging process uses annual economic loss data over a period of 50 years as a weighting factor. Based on the data, the results show that 11.554% (15.092 square kilometers) of the area of Java Island falls into the high hazard level class, 77.642% (101.413 square kilometers) into the moderate hazard level class, and 10.804% (14.112 square kilometers) into the low hazard level class. The resulting multi-hazard map could be further used for various specific purposes, such as creating an early warning system or estimating direct losses due to disasters.

Study of the patterns of ice lake variation and the factors influencing these changes in the western Nyingchi area

Abstract The current ice lake dataset in the western region of Nyingchi requires further improvement. Due to the intricate distribution of ice lakes and imprecise boundary delineation, research tends to overlook small-scale ice lakes in this area. Moreover, most related studies have focused solely on variations in ice lake areas within key regions, such as the Himalayas, with little attention given to changes occurring in southeastern Tibet. The frequency of ice and snow disasters in the study area has been steadily increasing over the years. Therefore, this study utilizes Landsat satellite images and employs visual interpretation methods to generate more precise and comprehensive maps depicting the distribution of ice lakes in the western region of Nyingchi Province for the years 1994, 2010, 2018, and 2022. Additionally, changes in scale and spatial patterns of different types of ice lakes were investigated. Between 1994 and 2022, the ice lake area in the study area significantly increased by 22.5%, reaching a total of 35.8 ± 3.0 km2. This expansion was primarily driven by glacier-fed lakes, which experienced a remarkable growth rate of 30.8%. In contrast, the non-glacier-fed lakes experienced an increase by only 15.6%. Notably, ice lakes at higher elevations exhibited a peak in expansion, with those above 5143.0 m experiencing the most substantial growth rate of 44.8%. The long-term expansion rate of ice lakes is investigated through the measurement of changes in their boundaries, with the aim to understand the factors contributing to their growth. These findings indicate the rapid expansion of the ice lake near the glacier, with an annual growth rate of 1.3% per annum. Specifically, the glacial-fed section exhibited an expansion rate of 1.1% per annum, while the nonglacial-fed section experienced a growth rate of 0.6% per annum. The seasonal variability in marine glaciers is the primary factor influencing the expansion of ice lakes in this region, with temperature and precipitation serving as the principal driving forces impacting the transformation of these lakes. The data provided by the research results will facilitate a comprehensive understanding of the dynamics and mechanisms governing the ice lake in western Nyingchi, thereby contributing to an enhanced scientific comprehension of potential disaster risks associated with this ice lake.

Media Representasi Tentang Kesiapsiagaan Bencana di Kawasan Wisata Pantai Pangandaran

This research examines disaster preparedness in the tourist area of Pangandaran Beach, West Java. Pangandaran Beach is a popular tourist attraction and is located in an area vulnerable to natural disasters such as earthquakes and tsunamis. In the face of potential disaster risks and threats, preparedness becomes very important to protect tourists and local communities. However, awareness about preparedness is not always well implemented. This research focuses on the preparedness of tourism stakeholders such as the government, businesses, and tourists in the area. In addition, this research also highlights the role of media representation in conveying information about disaster preparedness, including the potential impact of untrue news or hoaxes. Qualitative methods and "Critical Media Discourse Analysis" are used to reveal the views and experiences of the parties related to disaster preparedness in Pangandaran Beach. The results of this research are expected to contribute to improving preparedness and risk mitigation efforts in the tourist area.

Site Selection of Medical Waste Disposal Facilities Using the Interval-Valued Neutrosophic Fuzzy EDAS Method: The Case Study of Istanbul

In recent years, as a result of the increasing demand for health services, medical waste (MW) generated from health facilities has increased significantly. Problems that threaten the environment and public health may arise as a result of inadequate medical waste management (MWM), especially in densely populated metropolitan areas. Therefore, it is very important that the disposal process of waste is carried out in a way that minimizes harm to human health and the environment. MW disposal site selection is among the most important decisions that local governments make. These decisions have many conflicting and similar criteria and alternatives. However, decision-makers may experience significant uncertainty when evaluating the alternatives. This study adopts the interval-valued neutrosophic (IVN) fuzzy EDAS method for the evaluation of MW disposal facility siting alternatives in Istanbul. This approach is used to evaluate potential sites based on a comprehensive, hierarchical criteria framework designed to address data uncertainty and inconsistency common in multi-criteria decision-making (MCDM) scenarios. Within the scope of the study, six main criteria (distance settlement area, social acceptance, costs, environmental impacts, infrastructure facilities, and disaster and emergency) and nineteen sub-criteria are meticulously analyzed. Considering the geographical location and dense urban texture of Istanbul, the study emphasizes the criteria related to distance to residential areas, logistics costs, and potential disaster risks. Among the identified criteria, land costs, topographical features, proximity to landfills, and distance to high-voltage lines are emphasized as the least important criteria. This study, which evaluated various alternatives, identified Pendik, located on the Anatolian side of Istanbul, as the most suitable site for MW disposal due to its minimal risk. The study also compares the four main alternatives and highlights their relative strengths and weaknesses.

Liquefaction potential hazard assessment and its effect on toll road construction in Seyegan Subdistrict, Yogyakarta

Toll road construction is a vital infrastructure connecting the two economic centers on Java Island. However, given the potential disaster risks in the region, it is essential to assess the geological and geotechnical conditions to determine the potential for liquefaction in the area. The special region of Yogyakarta is susceptible to earthquakes and associated disasters. One of the most significant earthquakes occurred on May 27, 2006 with a magnitude of 6.3 Mw resulting from the Opak Fault. Furthermore, the toll road is constructed above the Mataram Irrigation Canal, characterized by a shallow groundwater level and young volcanic deposits that are vulnerable to liquified. The study aimed to determine the potential for liquefaction in the area and predicted the vertical settlement caused by liquified soil. The analysis of liquefaction potential utilized the simplified procedure to obtain factor of safety and Liquefaction Severity Index (LSI) to assess the vulnerability index of liquefaction. Results indicated the research area had a very low to medium liquefaction susceptibility index. In addition, the calculation of vertical settlement using Idriss and Boulanger (2008) equation showed a predicted vertical settlement range of 0.4 cm – 44.64 cm. The predicted vertical settlement range underscores the importance of considering the potential for liquefaction to mitigate any adverse effects on the toll road’s construction and operation.

Rapid urban expansion and potential disaster risk on the Qinghai-Tibetan Plateau in the 21st century

ContextCities are still expanding in many parts of the world in the 21st century, especially in developing regions, where socioeconomic transition has triggered urbanization. The Qinghai-Tibetan Plateau, characterized by its high elevation, developing economy, and fragile environment, has undergone rapid urbanization in the past twenty years, potentially heightening the region’s risk of geological and hydrometeorological disasters.ObjectivesThis article examines the process of urbanization on the Qinghai-Tibetan Plateau in order to better understand the relationship between urban expansion and population change and to explore whether geological and hydrometeorological disasters threaten urban expansion.MethodsWe created a high-resolution urban built-up boundary dataset from 2000 to 2020 based on remote sensing and GIS. By examining the spatio-temporal pattern of urban expansion and its population dynamics from 2000 to 2020 in 15 cities across the Qinghai-Tibetan Plateau, we quantified the urban expansion characteristics and explored the rising geological and hydrometeorological disaster risks urban areas face.ResultsThe Qinghai-Tibetan Plateau has experienced rapid and uneven urbanization in the past 20 years. The total expansion rate was over 252% – 1.48 and 2.81 times higher than that of China and the world, respectively. Urban expansion exceeded population growth in most cities throughout the whole period. The urban built-up areas and population of the Qinghai-Tibetan Plateau tended to concentrate in the Yellow River-Huangshui River Valley of Qinghai Province and the Yarlung Zangbo River and its two tributaries of Tibet. High-density urban built-up areas and population distribution were exposed to geological and hydrometeorological disasters. The urban boundary dataset produced in this study has better accuracy than the other five existing datasets, for the given area and time range.ConclusionsThis study will not only provide a scientific reference for urban development research and future urban planning on the Qinghai-Tibetan Plateau at the regional scale, but will also contribute to research on the urbanization process of the plateau and mountainous regions on a global scale, raising awareness of geological and hydrometeorological disaster risk prevention in these areas worldwide

Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation

Monitoring and assessing coastal subsidence is crucial to mitigating potential disaster risks associated with rising sea levels. Nansha District in Guangzhou City, representing global coastal soft-soil urban areas, faces significant challenges related to ground subsidence. However, the current understanding of the status, causative factors, and risk (includes subsidence susceptibility and vulnerability) assessment of ground subsidence in Nansha District is unclear. To address this gap, we utilized the SBAS-InSAR technique, analyzing 49 Sentinel-1A images from December 2015 to June 2019, for systematic ground subsidence monitoring. Subsequently, we assessed subsidence risk using a comprehensive index method and a risk matrix. Our findings indicate that subsidence velocity primarily ranged from −40 to −5 mm/a, with a spatial pattern of increasing subsidence from inland to coastal areas. The cumulative subsidence process unfolded in four distinct stages. The genesis of land subsidence was linked to an endogenous geological context dominated by soft-soil deposition, influenced by external factors such as surface loading and groundwater extraction. High-risk zones were concentrated in key engineering development areas, transportation pipeline trunk lines, and densely populated regions, demanding special attention. This study provides a foundational resource for disaster prevention and control strategies in Nansha District and similar coastal cities.

Analysis of Potential Natural Disaster Risks in Buleleng Regency

Buleleng is one of the regency in the Province of Bali which has various potential disaster risks, mainly dominated by natural disaster. This condition is influenced by the topography of the Buleleng Regency area which has the characteristics of Nyegara Gunung, namely to the north is a coastal area while to the south is a hill’s area. Based on these conditions, it is necessary to have a risk analysis of natural disasters that have the potential to occur, so that alternative disaster management can be made. This study aims to determine the potential for disaster risk in Buleleng Regency and how the priorities for handling from the level of risk and intensity of the threat. The method used in this study is an analysis of potential natural disaster risks obtained from a combination of hazard, vulnerability and capacity data. Threat data was obtained from data released by BNPB from the inarisk.bnpb.go.id, while vulnerability and capacity data were obtained from interviews and secondary data from related agencies. The entire data obtained was then conducted an FGD with BPBD Buleleng Regency which was then analyzed descriptive qualitative. Based on the research results, it was found that the potential for disasters in Buleleng Regency were categorized into 2, namely: disasters that have a high risk impact are Earthquakes and Tsunamis, while disasters with high incident intensity are floods, extreme weather, extreme waves and abrasion, drought, landslides, flash floods and fires.

Identification of Understanding of Disaster Preparedness in the School Environment

Flores Island is vulnerable towards natural disasters. Therefore, it requires an effective disaster warning ma-nagement. In this context, schools play an important role in disaster warning system. However, not all schools implement Disaster Risk Reduction (DRR) procedures effectively. Therefore, efforts are needed to improve disaster warning system among schools by integrating the three pillar principles, which include safe facilities, effective disaster management, and resilience education. This study aims to understand the state of school readiness in the Flores region and assess the extent to which these schools apply the three pillar criteria for school disaster warning system. The research method used is a qualitative descriptive ap-proach, with data collection through an open questionnaire distributed using Google Forms. The result showed that the locations of the respondent's schools are spread across the most disaster-prone areas of Flo-res, especially along the coastal areas. In addition, there are still many schools in the region that have diffe-rent levels of understanding and awareness regarding to disaster warning system. Based on that issue, the program for activating the disaster warning system in school area is very important to apply and can increase public awareness of disaster warning system. To achieve that idea, a collaboration between school commit-tees, external parties, and the Flores community is essential to strengthen the school infrastructure and to build an effective response towards potential disaster risks and threats.

Study of Safety Facilities for Potential Disaster Risks Reduction in The Public Elementary School Buildings in Girimulyo District, Kulon Progo Regency, Yogyakarta

<p>Bangunan sekolah dasar negeri yang terbangun di Kecamatan Girimulyo, Kabupaten Kulon Progo, Daerah Istimewa Yogyakarta sebagian besar merupakan bangunan lama yang dibangun di atas kurun waktu sepuluh tahun. Bangunan-bangunan SD negeri tersebut telah mengalami beberapa kali perubahan dan perbaikan yang disesuaikan dengan situasi dan kondisinya. Dengan adanya potensi resiko bencana yang ada di kawasan Daerah Istimewa Yogyakarta, identifikasi dan kajian terhadap ketersediaan fasilitas penunjang keamanan bangunan-bangunan SD negeri di Kecamatan Girimulyo dilakukan oleh penulis melalui kerja sama antara LSM Mitra Anak Sejati, Child Fund Indonesia dan Fakultas Teknik Universitas Atma Jaya Yogyakarta. Kajian ini dilakukan dengan bertujuan untuk dapat mengidentifikasi potensi resiko bencana dan implementasi fasilitas penanggulangan bencana pada bangunan-bangunan SD negeri di Kecamatan Girimulyo. Hasil dari kajian ini diharapkan dapat memberikan kontribusi kepada pemerintah daerah dan pembuat kebijakan terkait infrastruktur pendidikan untuk dapat mewujudkan fasilitas bangunan pendidikan/sekolah yang siap dan aman terhadap bencana. Metode yang dilakukan adalah dengan melakukan survey dan observasi di lapangan dan juga melakukan interview dengan pihak sekolah. Hasil yang didapatkan dianalisis secara kualitatif deskriptif untuk mengidentifikasi faktor-faktor kunci yang penting dalam implementasi fasilitas keselamatan yang terkait dengan penanggulangan potensi resiko bencana pada bangunan sekolah dasar secara umum. </p>

Identifying Land-Use Related Potential Disaster Risk Drivers in the Ayeyarwady Delta (Myanmar) during the Last 50 Years (1974–2021) Using a Hybrid Ensemble Learning Model

Land-use and land-cover change (LULCC) dynamics significantly impact deltas, which are among the world’s most valuable but also vulnerable habitats. Non-risk-oriented LULCCs can act as disaster risk drivers by increasing levels of exposure and vulnerability or by reducing capacity. Making thematically detailed long-term LULCC data available is crucial to improving understanding of those dynamics interlinked at different spatiotemporal scales. For the Ayeyarwady Delta, one of the least studied mega-deltas, such comprehensive information is still lacking. This study used 50 Landsat and Sentinel-1A images spanning five decades from 1974 to 2021 in five-year intervals. A hybrid ensemble model consisting of six machine-learning classifiers was employed to generate land-cover maps from the images, achieving accuracies of about 90%. The major identified potential risk-relevant LULCC dynamics include urban growth towards low-lying areas, mangrove deforestation, and the expansion of irrigated agricultural areas and cultivated aquatic surfaces. The novel area-wide LULCC products achieved through the analyses provide a basis to support future risk-sensitive development decisions and can be used for regionally adapted disaster risk management plans and models. Developed with freely available data and open-source software, they hold great potential to increase research activity in the Ayeyarwady Delta and will be shared upon request.

Evaluation of land resilience against natural disasters using ecosystem services approach in Kendari City, Southeast Sulawesi, Indonesia

Kendari City has multiple disasters hazard, especially floods and landslides. Consequently, the city requires systematic preventive efforts to minimize the potential disaster risk. This study aims to create a spatial model to determine the resilience of the land against floods and landslides with an ecosystem services approach. We used Sentinel-2 and DEMNAS (National Digital Elevation Model of Indonesia) as our primary data collection tools. Sentinel-2 was used to compile land use maps, and DEMNAS was the basis for compiling landform maps. The integration of the two was carried out by the analytic hierarchy process (AHP). The results showed that 8,259.98 acres (30.01 percent) of land in Kendari had low resilience to disasters. Those areas are located in a residential area on the TWH (Rocky hill over mixed sedimentary rocks) and KHY (Coalescent estuarine/riverine plain) landforms. The dominant disaster hazard in the area is inundation flooding that occurs almost every year in Kendari. Poor soil infiltration capacity is one factor affecting the area become vulnerable to flooding.

Establishing a Potential Disaster Risk Assessment System Based on Grid Data

Establishing a Potential Disaster Risk Assessment System Based on Grid Data

Bayesian assessment of utility tunnel risk based on information sharing mechanism

The main body of the utility tunnel is all kinds of pipelines, so the normal operation of the pipelines is very important for the operation benefit of the comprehensive utility tunnel; meanwhile, identifying the potential risks of the pipelines in time can reduce the losses caused by the uncertain risks to the comprehensive utility tunnel. This paper uses the Stackelberg game model to analyze the risk information sharing among utility tunnel institutions which concludes in utility tunnel company and pipeline company, which is helpful for understanding the decision-making process in the game and its equilibrium results can guide utility tunnel company’s decision-making behavior in seeking utility tunnel risk treatment. On this basis, this paper analyzes the potential disaster risk factors in the operation process of utility tunnel, and constructs the risk early warning model of integrated pipeline corridor based on Bayesian network. The results show that the potential disaster risk during the operation of utility tunnel is evaluated, and the overall risk probability level, the key path and key risk factors of the occurrence of disaster risk events are obtained.

VR Panoramic Technology in Urban Rail Transit Vehicle Engineering Simulation System

Rail transit is a kind of rail transit based on fixed lines, which is carried out through special vehicles, passengers, and goods. However, urban rail transit construction activities are mostly underground activities, the construction environment and construction technology are complex, and the potential disaster risks are different. At present, the traditional 3D simulation technology is lack of interactive experience, but with the development of VR technology, 3D panorama technology, as a branch of VR technology, is rapidly popularized with its interactive and immersive characteristics. VR reality technology is applied in aerospace, real estate, education, entertainment, games, and other fields. Therefore, authors propose the application of VR panoramic technology based on the Unity3D engine and HTC Vive interactive equipment in the urban rail transit vehicle engineering simulation system. Furthermore, the content construction scheme and the overall development process of the simulation system are given. The function of VR technology in the simulation system and the main technology of real-time interaction for vehicle maintenance are discussed. The methods of literature analysis, expert interviews, on-site data acquisition, and questionnaire surveys are applied. By determining the intensity of protection measures, improving the construction quality of urban rail transit, preventing and controlling risks, and making the best plan and measures from a systematic point of view. From the final results of this study, user can gradually change the traditional ideas and methods of urban rail transit disaster prevention and mitigation and implement VR technology in the urban rail transit vehicle engineering simulation system, which plays a very important role in improving the safety management efficiency of urban rail transit construction.

Quantifying Disaster Casualties Centered on Flooding in the Chikugo River Middle Basin in the Past 400 Years to Determine the Historical Context of the July 2017 Northern Kyushu Torrential Rainfall

In this study, we collated the number of deaths caused by disasters that took place in the Chikugo River middle basin on the island of Kyushu, Japan, from the 1600s to 2017. The compilation of quantitative statistics of floods in Japan began in the modern era, while the statuses of previous disasters are described by vague indices and are thus difficult to quantify. In this study, we geographically restricted our investigation to the Chikugo River middle basin. We quantified the scale of each disaster by using the number of deaths recorded in historical documents. We then compared the disasters that took place in the area since the 1600s to identify the potential disaster risks harbored by our study area. During the period examined, the great famine from 1732 to 1733 was the greatest disaster and caused the most deaths. However, this is the only recorded famine for which fatalities were documented. Meanwhile, floods occurred frequently through this period, 26 of which resulted in fatalities: they had a total death toll of 292. Thus, famines occur infrequently but cause severe damage, whereas floods occur frequently but cause relatively minor damage. During the approximately 400 years examined, there were four floods with death tolls exceeding 30 people. Three of these occurred after 1868, when the modern era of Japan began. Meanwhile, there have been almost no small-scale floods during and after the modern era. By quantitatively assessing the disasters’ scales, we were able to establish that the 2017 northern Kyushu torrential rainfall was the fourth gravest water-related disaster, in terms of its death, toll since the 1600s. If only the north bank of the Chikugo River middle basin is considered, it was the greatest flood disaster to occur in this period.

STUDY ON THE DISTRIBUTION OF GEOLOGICAL HAZARDS BASED ON FRACTAL CHARACTERISTICS – A CASE STUDY OF DACHUAN DISTRICT

Abstract. It is a complicated process to analyze the cause of geological hazard. Through the analysis function of GIS software, 250 landslides were randomly selected from 395 landslide hazards in the study area, superimposed with the types of landforms, annual rainfall and vegetation coverage respectively. It used box dimension method of fractal dimension theory to study the fractal characteristics of spatial distribution of landslide disasters in Dachuan district, and analyse the statistical results. Research findings showed that the The fractal dimension of the landslides in the Dachuan area is 0.9114, the correlation coefficient is 0.9627, and it has high autocorrelation. Zoning statistics according to various natural factors, the fractal dimension between landslide hazard points and deep hill, middle hill area is strong as well as the area whose average annual rainfall is 1050 mm–1250 mm and vegetation coverage is 30 %–60 %. Superposition of the potential hazard distribution map of single influence factors to get the potential hazard zoning of landslides in the area. Verifying the potential hazard zoning map of the potential landslides with 145 remaining disaster points, among them, there are 74 landslide hazard points in high risk area, accounting for 51.03 % of the total. There are 59 landslides in the middle risk area, accounting for 40.69 % of the total, and 12 in the low risk area, accounting for 8.28 % of the total. The matching degree of the verifying result and the potential hazard zoning is high. Therefore, the fractal dimension value divided the degree of geological disaster susceptibility can be described the influence degree of each influence factor to geological disaster point more intuitively, it also can divide potential disaster risk areas and provide visual data support for effective management of geological disasters.