• Title/Summary/Keyword: forest fires

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A Study of Safety Evaluation Based on the Road closure Simulation, and on the Isolation Risk in Times of Disaster (재해시 위험가능성과 도로폐쇄시뮬레이션에 의한 방재안전성에 관한 연구 - 일본 오이타현 사이키시를 대상으로 -)

  • Kim, Daeill;Park, Sungchan;Go, Jooyeon;Yeom, Chunho
    • Journal of the Korean Society of Safety
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    • v.35 no.2
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    • pp.84-93
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    • 2020
  • In recent years, the scale of damage from disasters such as earthquakes and large-scale fires and floods that are occurring in Korea is increasing. Accordingly, interest in urban disaster prevention that combines living infrastructure such as roads and parks is boosting, and it is urgent to prepare measures to reduce the damage scale of local cities. The purpose of this study is to derive implications for disaster prevention measures in areas where disaster prevention safety of local cities is weak through examples of disaster prevention safety of local cities in case of disaster. To this end, this study analyzed the regional characteristics, current status, and disaster prevention problems of regional cities in Japan, and selected disaster-vulnerable areas, and considered the distance relationship between disaster prevention bases through road network analysis. In addition, road closure simulation using ArcGIS Network Analyst was conducted to analyze disaster prevention safety in the area. As a result, the situation of the village which has a high possibility of isolation by natural disasters was grasped in advance. Through this, the suburbs confirmed the necessity of supplementing the disaster prevention function through transportation maintenance such as forest roads, and it was found that the city needs to prepare a risk management system. Furthermore, this study suggests the need for research on areas with a high possibility of isolation, especially in areas where disaster prevention functions are weak in local cities in case of disaster, and shows countermeasures for disaster prevention measures and resident education.

Research on the Consciousness of Disaster Prevention to Analyze Disaster Characteristics of Gangwon Province (강원도 재난특성 분석을 위한 방재의식 조사)

  • Jun, Kye-Won;Lee, Ho-Jin
    • Journal of the Korean Society of Hazard Mitigation
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    • v.7 no.3
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    • pp.51-58
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    • 2007
  • The present study surveyed 750 graduate and undergraduate students who were living or not living in Gangwon province concerning the characteristics of disasters in Gangwon province, people's consciousness of disaster prevention, etc. According to the results of analysis, all the respondents thought that the possibility of disasters is higher in Gangwon province(74.0%) than in any other province. Compared to non-residents, Gangwon province residents tended to perceive that the possibility of storm and flood disasters and forest fires is high in Gangwon province. As to reasons for frequent disasters in Gangwon province, the respondents mentioned disadvantageous natural conditions, the shortage of disaster prevention facilities and local residents' low consciousness of disaster prevention. As to methods for enhancing people's consciousness of disaster prevention in Gangwon province, they considered essential the expansion of disaster prevention facilities and education on disaster prevention. In particular, 62.1% of the respondents did not have experiences in disaster education. This suggests the necessity for extending disaster education.

Analysis of Spatial Variability of Surface Wind during the Gangwon Yeongdong Wind Experiments (G-WEX) in 2020 (2020 강원영동 강풍 관측에서 지상 바람의 공간 변동성 분석)

  • Kim, Yu-Jeong;Kwon, Tae-Yong
    • Atmosphere
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    • v.31 no.4
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    • pp.377-394
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    • 2021
  • The recent largest forest fire in the Yeongdong region, Goseung/Okgae fires of 2019 occurred during YangGang wind event. The wind can be locally gusty and extremely dry, particularly in the complex terrain of Yeongdong. These winds can cause and/or rapidly spread wildfires, the threat of which is serious during the dry spring season. This study examines the spatial variability of the surface wind and its coupling with the upper atmospheric wind using the data during the IOP of the Gangwon Yeongdong Wind Experiments (G-WEX) conducted in 2020 and the data during YangGang wind event on 4~5 April 2019. In the case of IOPs, strong wind at the surface with a constant wind direction appears in the mountain area, and weak wind with large variability in wind direction appears from foothill to the coast in the vicinity of Gangneung region. However, in the 2019 event, strong wind at the surface with a constant wind direction appears in the entire region from the mountain to the coast, even with the stronger wind in the coast than in some part of the mountain area. The characteristics of the upper atmospheric wind related with the spatial distribution of surface wind show that during IOPs of G-WEX, a strong downdraft exists near the mountaintop in the level of about 1 to 4 km. However, in the 2019 event a strong downdraft is reinforced, when its location moves toward the coast and descends close to the ground. These downdrafts are generated by the breaking of mountain waves.

Disaster Assessment, Monitoring, and Prediction Using Remote Sensing and GIS (원격탐사를 이용한 재난 감시 및 예측과 GIS 분석)

  • Jung, Minyoung;Kim, Duk-jin;Sohn, Hong-Gyoo;Choi, Jinmu;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1341-1347
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    • 2021
  • The need for an effective disaster management system has grown these days to protect public safety as the number of disasters causing massive damage increases. Since disaster-induced damage can develop in various ways, rapid and accurate countermeasures must be prepared soon after disasters occur. Numerous studies have continuously developed remote sensing and GIS (Geographic Information System)-based techniques for disaster monitoring and damage analysis. This special issue presents the research results on disaster prediction and monitoring based on various remote sensors on different platforms from ground to space and disaster management using GIS techniques. The developed techniques help manage various disasters such as storms, floods, and forest fires and can be combined to achieve an integrated and effective disaster management system.

Pyrolysis and Combustion Characteristics of an Pinus densiflora and Thinning-out Tree (적송 생목과 간벌목의 열분해 및 연소 특성 연구)

  • Choi, Gyeong-Ho;Kim, Seung-Soo
    • Applied Chemistry for Engineering
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    • v.22 no.6
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    • pp.636-641
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    • 2011
  • Since the mid-1990s, the number of fires continue to increase and the size has been also larger. However, the pyrolysis and combustion characteristics of the various species of the medium such as fallen leaves, herbaceous plants, conifers and broadleaf trees have scarcely been studied. In this paper, we investigate the pyrolysis and combustion of the typical domestic needle-leaf tree of Pinus densiflora and thinning-out tree by thermogravimetric analysis (TGA). Pinus densiflora was ignited at $200^{\circ}C$ and pyrolysis from $230^{\circ}C$. In case of thinning-out tree was ignited and pyrolysis at $180^{\circ}C$ and $205^{\circ}C$, respectively. The values of activation energy for pyrolysis were increased as the conversion efficiency increasing from 10% to 80%, whereas the values was decreased during combustion.

Study on the Quadcopter for Person Search using PID Control and HSV (PID 제어 및 HSV를 활용한 인명 수색용 쿼드콥터에 관한 연구)

  • Ji, Min-Seok;Kim, Byeong-Kwan;Kim, Jun-Woo;Park, Nae-Hyeok;Park, Hyoung-keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.139-146
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    • 2022
  • Mountain accidents such as forest fires and missing people are increasing as hikers increase due to indoor activities restrictions caused by the prolonged COVID-19 incident. If a dangerous situation occurs at outside where rescue workers cannot reach, the search time for person can be reduced using a quadcopter. Considering this, in this paper, Multiwii is used to smoothly hover the quadcopter by setting optimized PID values of the x-axis, y-axis, and z-axis (Yaw) according to the change in the inclination of the gas. In addition, after installing Open CV on Raspberry Pie, the camera uses HSV color space to filter the color such as the description of the person, and uses a thermal imaging camera to receive thermal sensing images in real time in environments where color extraction is difficult. As a result, it was confirmed that hovering was possible at a height of 2 to 8 m, blue extraction was possible at a height of 5 m, and heat detection was possible at a distance of less than 10 cm.

A Study on Fire and Disaster prevention for Wooden Architecture Heritage: Focusing on the Wooden Catholic Secondary Station in Dangjin (목조건축유산 화재와 방재에 관한 연구: 당진지역 목조 공소건축을 중심으로)

  • Lee, Sanghee
    • Journal of Internet of Things and Convergence
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    • v.7 no.4
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    • pp.15-21
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    • 2021
  • This study aims to derive the problems of firefighting and safety measures for architectural heritage with a wooden structure in rural areas and present their improvement measures. To identify those problems, this study grasped the features of the cultural heritage through the building structure and environment of a wooden Catholic secondary station in Dangjin, and analyzed fires that may occur and safety factors. As a result, although the mission station is an important cultural property in terms of its history, place and local identity, it had problems with disaster prevention systems such as vulnerable safety including fire and difficulties in fire recognition and initial firefighting. Therefore, this study concluded through its review and analysis that a disaster prevention system such as stronger firefighting is needed; that fire fighting facilities suitable for the characteristics of the secondary station with a wooden structure should be installed and a main player should be arranged in fire prevention activities to improve the fire prevention system of the cultural property; and that as most mission stations are located in rural areas, it is necessary to more thoroughly protect wooden-structure secondary stations from natural disasters such as forest fire and to improve fire response measures.

Relaying of 4G Signal over 5G Suitable for Disaster Management following 3GPP Release 18 Standard

  • Jayanta Kumar Ray;Ardhendu Shekhar Biswas;Arpita Sarkar;Rabindranath Bera;Sanjib Sil;Monojit Mitra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.369-390
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    • 2023
  • Technologies for disaster management are highly sought areas for research and commercial deployment. Landslides, Flood, cyclones, earthquakes, forest fires and road/train accidents are some causes of disasters. Capturing video and accessing data in real time from the disaster site can help first responders make split second decisions which may save human lives and valuable resource destructions. In this context the communication technologies performing the task should have high bandwidth and low latency which only 5G can deliver. But unfortunately in India, deployment of the 5G mobile communication systems is yet to give a shape and again in remote areas unavailability of 4G signals is still severe. In this situation the authors have proposed, simulated and experimented a 4G-5G communication scheme where from the disaster site the signals will be transmitted by a 5G terminal to a nearby 4G-5G gateway installed in a mobile vehicle. The received 5G signal will be further relayed by the 4G-5G gateway to the fixed 4G base station for onward transmission towards the disaster management station for decision making, deployment and relief monitoring. The 4G-5G gateway acts as a relay and converter of 5G signal to 4G signal and vice versa. This relayed system can be further mounted on a vehicle mounted relay (VMR) as proposed by 3GPP in Release 18. The scheme is also in the same line of context with Verizon's, "Tactical Humanitarian Operations Response" (THOR) vehicle concept. The performance of the link is studied in different channel conditions, the throughput achieved is superb. The authors have implemented the above mentioned system towards smart campus networking and monitoring landslides activities which are common in their regions.

Implementation of IoT Application using Geofencing Technology for Mountain Management (산악 관리를 위한 지오펜싱 기술을 이용한 IoT 응용 구현)

  • Hyeok-jun Kweon;Eun-Gyu An;Hoon Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.3
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    • pp.300-305
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    • 2023
  • In this paper, we confirmed that an efficient sensor network can be established at a low cost by applying Geofencing technology to a LoRa-based sensor network and verified its effectiveness in disaster management such as forest fires. We detected changes through GPS, gyro sensors, and combustion detection sensors, and defined the validity size of the Geofencing cell accurately. We proposed a LoRa Payload Frame Structure that has a flexible size according to the size of the sensor information.

Analysis of Disaster Occurrences in Mongolia Based on Climatic Variables (기후변수를 기반으로 한 몽골 재해발생 분석)

  • Da Hye Lee;Onon-Ujin Otgonbayar;In Hong Chang
    • Journal of Integrative Natural Science
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    • v.17 no.3
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    • pp.93-103
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    • 2024
  • Mongolia's diverse geographical landscape and harsh climate make it particularly susceptible to various natural disasters, including forest fires, heavy rains, dust storms, and heavy snow. This study aims to explore the relationships between key climatic variables and the frequency of these disasters. We collected monthly data from January 2022 to April 2024, encompassing average temperature, temperature variability (absolute temperature difference), average humidity, and precipitation across the capitals of Mongolia's 21 provinces and the capital city Ulaanbaatar. The data were analyzed using multiple statistical models: Linear Regression, Poisson Regression, and Negative Binomial Regression. Descriptive statistics provided initial insights into the variability and distribution of the climatic variables and disaster occurrences. The models aimed to identify significant predictors and quantify their impact on disaster frequencies. Our approach involved standardizing the predictor variables to ensure comparability and interpretability of the regression coefficients. Our findings indicate that climatic variables significantly affect the frequency of natural disasters. The Negative Binomial Regression model was particularly suitable for our data, which exhibited overdispersion common characteristic in count data such as disaster occurrences. Understanding these relationships is crucial for developing targeted disaster management strategies and policies to mitigate the adverse effects of climate change on Mongolian communities. This research provides valuable insights into how climatic changes impact disaster occurrences, offering a foundation for informed decision-making and policy development to enhance community resilience.