• Title/Summary/Keyword: forest fires

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Wireless Sensor Networks based Forest Fire Surveillance System

  • Son, Byung-Rak;Kim, Jung-Gyu
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.123-126
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    • 2005
  • Wireless Sensor Networks will revolutionize applications such as environmental monitoring, home automation, and logistics. We developed forest fire surveillance system. In this paper, Considering the fact that in Korea, during November to May, forest fires occur very frequently causing catastrophic damages on the valuable environment, Although exists other forest fire surveillance system such as surveillance camera tower, infrared ray sensor system and satellite system. Preexistence surveillance system can't real-time surveillance, monitoring, database and automatic alarm. But, forest fire surveillance system(FFSS) support above. In this paper, we describes a system development approach for a wireless sensor network based FFSS that is to be used to measure temperature and humidity as well as being fitted with a smoke detector. Such a device can be used as an early warning fire detection system and real-time surveillance in the area of a bush fire or endangered public infrastructure. Once the system has being development, a mesh network topology will be implemented with the chosen sensor node with the aim of developing a sophisticated mesh network.

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ECOREGION CLASSIFICATION WITH CLIMATE FACTORS AND FOREST FIRE

  • Shin, Joon-Hwan
    • Proceedings of the Korean Quaternary Association Conference
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    • 2002.12a
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    • pp.94-95
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    • 2002
  • South Korea is divided into five ecoprovinces and sixteen ecoregions. The criteria for ecoprovince classification are ecosystem connectivity and cultural homogeneity. Ecoregions are classified by cluster analysis. The variables used in the analysis are latitude, longitude, seasonal mean temperature, and seasonal precipitation. The large forest fires occurred in the specific ecoregions including Kangwon coastal ecoregion, WoolYoung coastal ecoregion, Hyungsan Taehwa coastal ecoregion, Upper Nagdong river basin ecoregion and Southeastern inland ecoregion. The largest forest fire in the korean history occurred in Kangwon coastal ecoregion in the year 2000. The fire devastated the forestland over 25,000ha. Korea Forest Service, Ministry of Environment, Province Kangwon and NGO organized an investigation committee for the restoration of the burnt area. The committee suggested restoration principles and also forged a restoration strategy of the Kangwon burnt area.

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The Study of Burned-Area Analysis Method for Forest-fire Damaged Area - Investigation for ImSil County, GyeongJu City - (산불피해 현장답사를 통한 연소면적 산출 연구 - 임실, 경주 산불을 중심으로 -)

  • Kang, Seo-Young;Lee, Jung-Yun;Kim, Hong
    • Journal of the Korean Society of Safety
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    • v.27 no.3
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    • pp.176-181
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    • 2012
  • In this research the 2009 spring occurred during forest fire ImSil and research destination GyeongJu has been selected. Research in the field of the target time exploratory Boundary Data through after air photos, satellite photos and topographic map by using the combustion area was calculated. 2009 March 1-forest fire occurs on the day of the weather information and weather changes wildfire in the check in any affected. Study research destination of combustion is ImSil 161 ha, GyeongJu 270.93 ha. The impact of the weather-temperature dry weather forest fires this favorable situation to occur and the wind directions and the spread of the mountain wind speed was less impact has no arguments.

Mechanical and Electrical Properties of Overhead Conductor due to Forest Fire (산불에 노출된 가공송전선의 기계적 및 전기적 특성 거동)

  • Kim, Byung-Geol;Jang, Young-Ho;Kim, Shang-Shu;Han, Se-Won
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.21 no.11
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    • pp.1042-1048
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    • 2008
  • Forest Fire can cause a serious damage to overhead conductors. Therefore, the detailed investigation for the changes of mechanical and electrical properties of damaged conductors should be carried out to understand the effect of forest fires on conductors. This is very much important to maintain transmission line safely. Especially, this paper describes the changes of mechanical and electrical properties of flame exposed conductor. Overhead conductors temperature were almostly 55$\sim$65% of ambient temperature. Tensile Strength decreased according to incerase of Forest Fire temperature. The detailed will be given in the text.

A Characteristics of Leakage Current and Temperature on Forest Fire of EHV Polymer Insulator for 154KV T/L (154kV 송전용 폴리머 애자의 산불에 대한 누설전류 및 온도 특성)

  • Choi, In-Hyuk;Choi, Jang-Hyun;Park, Jun-Ho;Lee, Dong-Il;Kim, Tae-Young
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.06a
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    • pp.517-518
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    • 2006
  • In this paper, to understand the effect of forest fires on polymer insulators for transmission lines, it was observed the aging of the housing surface of the polymer insulators. And, this paper shows the way how to create the artificial field testing in order to simulate forest fire. As the results of, maximum leakage current peaks by influence of flame increased from 1[mA] to 1.4[mA], and SEM results show the inorganic component on the housing surface because the organic component matters disappeared. Therefore, the case of exposed by forest fire, polymer insulator can be used in the early stage, but an exchange needs active countermeasure to be stabilize power delivery.

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UAV Path Creation Tool for Wildfire Reconnaissance in CPS Environment (CPS환경에서 산불 정찰을 위한 무인기 비행경로 생성 도구)

  • Ji-Won Jeong;Chang-Hui Bae;EuTeum Choi;SeongJin Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.6
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    • pp.327-333
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    • 2023
  • Existing studies on the UAV (Unmanned Aerial Vehicle)-based CPS (Cyber Physical System) environment lack forest fire monitoring and forest fire reconnaissance using real-world UAVs. So, it is necessary to monitor forest fires early through CPS based on real-world UAVs with high reliability and resource management efficiency. In this paper presents an MFG (Misstion File Generater) that automatically generates a flight path of an UAV for forest fire monitoring in a CPS environment. MFG generates flight paths based on a hiking trail with a high fire probability due to a true story of an entrant. We have confirmed that the flight path generated by MFG can be applied to the UAV. Also, we have verified that the UAV flies according to the flight path generated by MFG in simulation, with a negligible error rate.

Development of the National Integrated Daily Weather Index (DWI) Model to Calculate Forest Fire Danger Rating in the Spring and Fall (봄철과 가을철의 기상에 의한 전국 통합 산불발생확률 모형 개발)

  • Won, Myoungsoo;Jang, Keunchang;Yoon, Sukhee
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.20 no.4
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    • pp.348-356
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    • 2018
  • Most of fires were human-caused fires in Korea, but meteorological factors are also big contributors to fire behavior and its spread. Thus, meteorological factors as well as topographical and forest factors were considered in the fire danger rating systems. This study aims to develop an advanced national integrated daily weather index(DWI) using weather data in the spring and fall to support forest fire prevention strategy in South Korea. DWI represents the meteorological characteristics, such as humidity (relative and effective), temperature and wind speed, and we integrated nine logistic regression models of the past into one national model. One national integrated model of the spring and fall is respectively $[1+{\exp}\{-(2.706+(0.088^*T_{mean})-(0.055^*Rh)-(0.023^*Eh)-(0.014^*W_{mean}))\}^{-1}]^{-1}$, $[1+{\exp}\{-(1.099+(0.117^*T_{mean})-(0.069^*Rh)-(0.182^*W_{mean}))\}^{-1}]^{-1}$ and all weather variables significantly (p<0.01) affected the probability of forest fire occurrence in the overall regions. The accuracy of the model in the spring and fall is respectively 71.7% and 86.9%. One integrated national model showed 10% higher accuracy than nine logistic regression models when it is applied weather data with 66 random sampling in forest fire event days. These findings would be necessary for the policy makers in the Republic of Korea for the prevention of forest fires.

Vulnerability of Pinus densiflora to forest fire based on ignition characteristics

  • Seo, Hyung-Soo;Choung, Yeon-Sook
    • Journal of Ecology and Environment
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    • v.33 no.4
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    • pp.343-349
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    • 2010
  • In Korea, man-caused forest fires are known originate primarily in coniferous forests. We have hypothesized that the vulnerability of Pinus densiflora forests is principally a consequence of the ignition characteristics of the species. To assess this hypothesis, we conducted two combustion experiments using fallen leaves with a reference species, Quercus variabilis. In the first experiments, in which a cigarette was employed as a primary heat source for the initiation of a forest fire, the Pinus leaves caught fire significantly faster (1'1" at Pinus, 1'31" at Quercus, P < 0.001), and ignition proceeded normally. Quercus leaves, on the other hand, caught fire but did not ignite successfully. In the second set of experiments utilizing different moisture contents and fuel loads, the maximum flame temperature of the Pinus leaves was significantly higher ($421^{\circ}C$ at Pinus, $361^{\circ}C$ at Quercus, P < 0.001) and the combustion persisted for longer than in the Quercus leaves (8'8" at Pinus, 3'38" at Quercus, P < 0.001). The moisture contents of the leaves appeared to be a more important factor in the maximum temperature achieved, whereas the most important factor in burning time was the amount of fuel. Overall, these results support the assumption that Pinus leaves can be ignited even by low-heat sources such as cigarettes. Additionally, once ignited, Pinus leaves burn at a relatively high flame temperature and burn for a prolonged period, thus raising the possibility of frequent fire occurrences and spread into crown fires in forests of P. densiflora.

Efficient Forest Fire Detection using Rule-Based Multi-color Space and Correlation Coefficient for Application in Unmanned Aerial Vehicles

  • Anh, Nguyen Duc;Van Thanh, Pham;Lap, Doan Tu;Khai, Nguyen Tuan;Van An, Tran;Tan, Tran Duc;An, Nguyen Huu;Dinh, Dang Nhu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.381-404
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    • 2022
  • Forest fires inflict great losses of human lives and serious damages to ecological systems. Hence, numerous fire detection methods have been proposed, one of which is fire detection based on sensors. However, these methods reveal several limitations when applied in large spaces like forests such as high cost, high level of false alarm, limited battery capacity, and other problems. In this research, we propose a novel forest fire detection method based on image processing and correlation coefficient. Firstly, two fire detection conditions are applied in RGB color space to distinguish between fire pixels and the background. Secondly, the image is converted from RGB to YCbCr color space with two fire detection conditions being applied in this color space. Finally, the correlation coefficient is used to distinguish between fires and objects with fire-like colors. Our proposed algorithm is tested and evaluated on eleven fire and non-fire videos collected from the internet and achieves up to 95.87% and 97.89% of F-score and accuracy respectively in performance evaluation.