THE ROLE OF EARLY DETECTION OF FOREST FIRE IN ENVIRONMENTAL PROTECTION

2013 ◽  
Vol 3 (2) ◽  
Author(s):  
Stanimir Živanović ◽  
Darko Zigar ◽  
Dejan Krstić
Keyword(s):  
Early Detection ◽  
Real Time ◽  
Forest Fire ◽  
Forest Fires ◽  
Open Space ◽  
Modern Technology ◽  
Automated System ◽  
Fire Extinguishing ◽  
Camera Surveillance

Continuous monitoring of open space is of the utmost importance for the protection of forests against fire. Collected data in real time provide fast intervention of relevant services to extinguish the fire. Timely information about the appearance of fire reduce the number of areas affected by this fire and thereby minimizes the costs of fire extinguishing and the damage caused in the woods. The current way of detecting fire in an open area in Serbia is not in real time, and due to this, it is necessary to implement modern technology of collecting data related to early detection of fires. This paper presents an integral project of forest-fire protection on the territory of Serbia in order to provide the reference for the application of terrestrial automated system for early detection and prediction of forest fires. An automated system could be comprised of infrared and high-resolution TV camera surveillance, covering a large part of the forest area and forest land. Key words: Forest fire, prediction, early detection.

scholarly journals Peran Masyarakat dalam Pengendalian Kebakaran Hutan di BKPH Slarang KPH Pemalang

2021 ◽  
Vol 12 (2) ◽  
pp. 78-85
Author(s):  
Bambang Hero Saharjo ◽  
Yulia Eka Nurjanah
Keyword(s):  
Key Words ◽  
Community Participation ◽  
Forest Fire ◽  
Forest Fires ◽  
Forest Disturbance ◽  
Fire Control ◽  
Central Java ◽  
Causative Factors ◽  
Very High

Forest fires are a form of forest disturbance that often occurs. Every year, forest fires in Indonesia occur during the dry season. The causes of forest fires in Indonesia are natural and human factors. Forest fires cause an enormous loss in properly controlling forest fires. This study aims to analyze the factors that cause forest fires and examine the efforts to control forest fires and the role of community participation in forest fire control at BKPH Slarang, KPH Pemalang, Central Java. The highest forest fires occurred in 2015 with a frequency of 4 times that the total area of land burned was 11,10 hectares. Forest fire in BKPH Slarang caused a loss of costing IDR 50,234,000. The form of control exercised by BKPH is socialization or counseling about fires. Direct socialization or counseling is given to the community in various activities. Community participation is very high in prevention and blackout activities at BKPH Slarang KPH Pemalang. Key words: BKPH Slarang, causative factors, community participation, control of forest fire

scholarly journals A New Computerized Program for Surveillance of Prosthetic Arteriovenous Fistulas

2015 ◽  
Vol 1 (1) ◽  
pp. napoc.2015.1468
Author(s):  
Matteo Tozzi ◽  
Marco Franchin ◽  
Vincenzo Formica ◽  
Matteo Ganna ◽  
Gabriele Piffaretti
Keyword(s):  
Real Time ◽  
Graft Loss ◽  
Data Entry ◽  
Automated System ◽  
Arteriovenous Fistulas ◽  
Number Of Patients ◽  
Common Causes ◽  
Surgical Evaluation ◽  
Analysis Of Results

Stenosis and thrombosis are common causes of prosthetic vascular access (pVA) failure. The role of arteriovenous fistula (AVF) surveillance is widely debated. The aim of this paper is to present a new real-time application designed for AVF surveillance called SPIDER. Surgical staff and hemodialysis nurses are responsible for data entry. SPIDER automatically analyses data and generates alerts in case of abnormal trends. Surgical evaluation and duplex Doppler ultrasonography are then immediately performed to confirm presence of stenosis or other possible pVA defects. Surgery can be performed if required. A preliminary analysis of results will be completed at 12 months after the program begins and subsequently after 24 months. Primary assisted patency will be compared with historical using multivariate analysis. Expected results are an improvement in primary assisted pVA patency and reduction of hospitalizations. Simultaneous management of a high number of patients can become difficult due to the large amount of data required for surveillance. We want to demonstrate whether a real-time automated system could help to prevent thrombosis and graft loss.

scholarly journals ASSESSMENT OF THE VISIBILITY CAPABILITIES OF FOREST FIRE LOOKOUT TOWERS: THE CASE OF GEMLIK, BURSA, TURKEY

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 27-32
Author(s):  
A. E. Akay
Keyword(s):  
Early Detection ◽  
Forest Fire ◽  
Forest Fires ◽  
Forest Resources ◽  
Forest Area ◽  
Marmara Region ◽  
Visibility Analysis ◽  
Environmental Disasters ◽  
Mediterranean Regions ◽  
The City

Abstract. In Turkey, there are forest areas that are sensitive to fire in the first degree, especially along the coastline in the Marmara region and the Aegean and Mediterranean regions. As a result of forest fires, which is one of the biggest environmental disasters on forest resources, approximately 10000 hectares of forest area is damaged annually. One of the important elements of combating forest fires is early detection. In order to achieve this goal, the correct positioning of fire lookout towers is of great importance. In this study, it was aimed to evaluate visibility capabilities of forest fire lookout tower in Gemlik Forestry Enterprise Chief (FEC) located in the city of Bursa. Firstly, the visibility analysis was implemented using in ArcGIS 10.4.1 to evaluate the existing fire tower in the FEC, and then considering the potential fire lookout tower in the study area, the visible areas from both existing and new tower were determined. According to the results, while 63.55% of the study area was visible from the existing tower, this ratio increased to 77.39% when the second tower was added. When only the forest areas are evaluated, the existing tower could see 71.73% of the forest areas, while the visible forest areas have increased to 83.36% when the two towers were taken into account. It has been seen that the visibility capacities of existing towers and potential towers can be evaluated effectively by using GIS-based visibility analysis.

scholarly journals Influence of viscosity of fire-extinguishing solution on forest fires extinguish using aviation

2017 ◽  
Vol 6 (4) ◽  
pp. 62-67 ◽  
Author(s):  
Копылов ◽  
Nikolay Kopylov ◽  
Москвилин ◽  
Evgeniy Moskvilin ◽  
Федоткин ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Tests ◽  
Fire Extinguishing

In work questions of increase in efficiency of suppression of wildfires with the use of various ad-ditives to water are considered. At specially created stand fire tests on suppression of model seats of forest fire with imitation of dumping of water from the plane are carried out. Solutions of bentonite, bischofite, etc. are investigated. On the basis of probes it is established that the additives to water, in-creasing viscosity, promote improvement of aviation suppression of the fires.

Analysis of forest fire fatalities in Greece: 1977–2013

2016 ◽  
Vol 25 (7) ◽  
pp. 797 ◽  
Author(s):  
Michalis Diakakis ◽  
Gavriil Xanthopoulos ◽  
Leontios Gregos
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Human Activities ◽  
Open Space ◽  
Forest Ecosystems ◽  
Forest Service ◽  
Meteorological Conditions ◽  
Older Individuals ◽  
Forested Areas ◽  
Human Losses

Although forest fires are considered an integral part of forest ecosystems, the abundance of human activities in forested areas has led to a significant number of human casualties and to important effects on properties and infrastructure. Over recent decades, Greece has suffered extensive forest fire disasters, with a significant number of fatalities being recorded. However, there is no coherent inventory of human losses from fires in the country. This work develops and examines a database of 208 fatalities occurring in 78 forest fires in Greece between 1977 and 2013 to provide a better understanding of the circumstances under which fatal incidents occur. Around three-quarters of the victims were civilians; the remainder were firefighters, forest service officials and aircraft crews. Most deaths occurred in July and August, generally under adverse meteorological conditions. Male and older individuals showed an overrepresentation among the victims. A significant number of fatalities occurred in open space, mostly in wildland–urban interface areas and in tall forest vegetation. Late evacuation on foot or in a vehicle and firefighting were the most common activities of victims at the time of the incidents.

scholarly journals Forest Fire Detection System

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1138-1142
Keyword(s):  
Real Time ◽  
Forest Fire ◽  
Forest Fires ◽  
Detection System ◽  
Fire Detection ◽  
Wildlife Habitat ◽  
Support Vector ◽  
Time Data ◽  
Temporal Segmentation ◽  
Forest Fire Detection

The forest is one of the most important wealth of every country. The forest fires destroys the wildlife habitat, damages the environment, affects the climate, spoils the biological properties of the soil, etc. So the forest fire detection is a major issue in the present decade. At the same time the forest fire have to be detected as fast as possible. In the proposed method, a color spatial segmentation, temporal segmentation, global motion compensation, Support Vector Machine (SVM) classifications are used to detect the fire and to segment the fire from the video sequence. The method is implemented over the two real time data sets. The proposed method is most suitable for segmenting fire events over unconstrained videos in real time.

The role of central government and local government and the moderating effect of good governance on forest fire policy in Indonesia

2019 ◽  
Vol 26 (1) ◽  
pp. 147-159
Author(s):  
Raffles Brotestes Panjaitan ◽  
Sumartono Sumartono ◽  
Sarwono Sarwono ◽  
Choirul Saleh
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Local Governments ◽  
Central Government ◽  
Good Governance ◽  
Fire Prevention ◽  
Fire Policy ◽  
Content Type ◽  
Forest Fire Prevention

Purpose The purpose of this paper is to investigate forest fires and their relationship to prevention and mitigation strategies based on the empirical problems raised by this study. Public policy implementation (in this case, the policy of forest fire management) is influenced by the role played by government and by the participation of the public and stakeholders (in this case, companies), as well as the effects of good governance. Thus, from the empirical problems associated with theoretical problems and normative problems, this study raises the influence of the role of central and local government on the implementation of forest fire prevention policy in Indonesia, which is moderated by the good governance variable. Design/methodology/approach This study used a quantitative approach by adopting survey methodology. The study has aimed to assess both large and small population groups, by selecting and reviewing carefully chosen samples of the population to find the incidence, distribution and relative interrelation of the variables considered (Kerlinger and Lee, 2000). The survey was undertaken in areas of Indonesia that have a high level of vulnerability to forest fires. There are currently six provinces – Riau, Jambi, South Sumatra, West Kalimantan, East Kalimantan and South Kalimantan – that have the highest intensity of forest fires. The study population was taken from 105 villages in those six major provinces experiencing forest fires. Sample size precision was determined by using Slovin’s formula with a precision of 10 percent and, thus, a sample size of 52 was obtained. Findings The central government’s activities have no significant effect on regional forest fire prevention. However, the results found that there is a significant effect caused by the interaction between the central and local governments and their governance of forest fire prevention. Even though the direct effect is not significant, the interaction effect significantly influences the forest fire prevention governance variable, which is a pure moderator. This study found that the role of central government has no effect on forest fire prevention. If the role of the central government is high, it will not impact the effectiveness of forest fire prevention, which is reflected in the aspects of prevention and early warning, reward and punishment, the improvement and management of ecosystems by reviewing courts, law enforcement and national and regional synergy. Originality/value This is one of the few public administration science studies to have investigated the relationship between good governance and forest fire policy in Indonesia, particularly the combined roles played by central and local governments.

scholarly journals Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shaoxiong Zheng ◽  
Weixing Wang ◽  
Zeqian Liu ◽  
Zepeng Wu
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Monitoring System ◽  
Forest Fire ◽  
Forest Fires ◽  
Operating Cost ◽  
Operating Efficiency ◽  
Rescue Operation ◽  
Fire Monitoring ◽  
Forest Farm

Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire monitoring, this paper proposes a forest fire monitoring system based on drones and deep learning. The proposed system aims to solve the shortcomings of traditional forest fire monitoring systems, such as blind spots, poor real-time performance, expensive operational costs, and large resource consumption. The image processing techniques are used to determine whether the frame returned by a drone contains fire. This process is accomplished in real time, and the resultant information is used to decide whether a rescue operation is needed. The proposed method has simple operations, high operating efficiency, and low operating cost. The experimental results indicate that the relative accuracy of the proposed algorithm is 81.97%. In addition, the proposed technique provides a digital ability to monitor forest fires in real time effectively. Thus, it can assist in avoiding fire-related disasters and can significantly reduce the labor and other costs of forest fire disaster prevention and suppression.

scholarly journals A YOLO based Technique for Early Forest Fire Detection

2020 ◽  
Vol 9 (4) ◽  
pp. 1357-1362
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Forest Fire ◽  
Forest Fires ◽  
Learning Algorithm ◽  
State Of The Art ◽  
Mobile App ◽  
Raspberry Pi ◽  
Time Data ◽  
Alert Message

Forest fires, wildfires and bushfires are a global environmental problem that causes serious damage each year. The most significant factors in the fight against forest fires involve earliest possible detection of the fire, flame or smoke event, proper classification of the fire and rapid response from the fire departments. In this paper, we developed an automatic early warning system that incorporates multiple sensors and state of the art deep learning algorithm which has a minimum number of false positives and give a good accuracy in real time data and in the lowest cost possible to our drone to monitor forest fire as early as possible and report it to the concerned authority. The drones will be equipped with sensors, Raspberry pi 3, neural stick, APM 2.5, GPS, Wifi. The neural stick will be used for real time image processing using our state-of-the-art deep learning model. And as soon as forest fire is detected the UAV will send an alert message to the concerned authority on the mobile App along with location coordinates of the fire, image and the amount of area in which forest is spread using a mesh messaging. So that immediate action will be taken to stop it from spreading and causing loss of millions of lives and money. Using both deep learning and infrared cameras to monitor the forest and surrounding area, we will take advantage of recent advances in multi-sensor surveillance technologies. This innovative technique helps the forest department to detect fire in first 12 hours of its initialization , which is the most effective time to control the fire.

scholarly journals Parameters and operation modes optimization of specialized truck for extinguishing forest fires

2021 ◽  
Vol 937 (2) ◽  
pp. 022028
Author(s):  
A S Ustinov ◽  
S S Rogozin ◽  
E A Pitukhin ◽  
M P Astafyeva
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Optimization Problem ◽  
Negative Impact ◽  
Production Capacity ◽  
Mathematical Optimization ◽  
Auxiliary Equipment ◽  
Operating Modes ◽  
Control Factors ◽  
Fire Extinguishing

Abstract Recently, due to the warming of the climate, frequent forest fires have begun to cause significant damage to the environment. To effectively solve this problem, it is necessary to use a specialized forest fire truck designed for extinguishing forest fires. The rationale for optimizing the parameters and operating modes of a forest fire truck is given. As the objective function of the mathematical optimization problem, the production capacity is accepted, namely the area that a forest fire truck is able to extinguish. The parameters of the main and auxiliary equipment, the thermophysical properties of structural materials and the time of the estimated period of the production process of the forest fire truck are considered as control factors. The solution of the nonlinear optimization problem will allow us to calculate the production capacity, determine the required thermal and physical properties and offer new structural fire-resistant materials, recommend the main and auxiliary equipment, improve the ergonomic performance of cabins during fire extinguishing, increase the safety of the working conditions of the operator of a forest fire truck, and, as a result, to reduce the negative impact of forest fires on the environment.

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