scholarly journals Análisis cartográfico del nivel de afectación de los incendios forestales sobre áreas urbanizadas en la Costa del Sol occidental (1991-2013)

2019 ◽  
pp. 49-66
Author(s):  
José Romero-Padilla ◽  
Juan Francisco Martínez Murillo

Este trabajo analiza el grado de variabilidad de la afección de los siniestros de incendios forestales, ocurridos en los municipios de la Costa del Sol occidental (provincia de Málaga), sobre sus áreas urbanizadas e infraestructuras viarias durante el periodo 1991 a 2013. Primero se lleva a cabo un análisis descriptivo de los incendios forestales registrados desde 1987 hasta 2015. Posteriormente, se caracteriza el grado de afección de los incendios forestales sobre áreas urbanas e infraestructuras viarias, a partir de la medición de la cercanía del fuego a las mismas. Los resultados muestran que la Costa del Sol occidental se sitúa como el área más afectada por el fuego en la provincia de Málaga, al mismo nivel de otras regiones españolas, con una importante actividad turística y una expansión desmedida de la superficie urbanizada. Los siniestros analizados adquieren carácter de incendio de interfase urbano-forestal debido a la urbanización intensa y dispersa por su territorio y a la densidad de su red viaria. La cartografía muestra que la población e infraestructuras viarias potencialmente afectadas por el fuego tienen una variabilidad anual muy elevada, aunque cada vez es más frecuente que se vea afectada directa o indirectamente, haciendo necesario la actualización constante de los sistemas de protección a la población. This study deals with the forest fire affecting the municipalities of Western Costa del Sol (province of Málaga, South of Spain), namely, in the urban areas and the main transportation network from 1991 to 2013. To do this, firstly, a descriptive analysis of the registered forest fires included in the Andalucía Government Map Historic Database from 1987 to 2015. Secondly, the affection distance of fire to urban areas and main roads were determined considering the following intervals: 0, 100, 500 and 1,000 m; 0 metres means fire affected directly. The main results are the following: i) the Western Costal del Sol is the most affected area by the fire in the province of Málaga, as well as at the same level than other Mediterranean regions in Spain; ii) the analysed fires could be classified as wildland-urban interphase fire due to the intense urbanization and dense road network along the Costa del Sol. From the mapping analysis, it can be pointed out population and road network with possibilities of being affected by the fire is high but also very variable in time, making necessary updated protection and surveillance systems.

2019 ◽  
pp. 49-66
Author(s):  
José Romero-Padilla ◽  
Juan Francisco Martínez Murillo

Este trabajo analiza el grado de variabilidad de la afección de los siniestros de incendios forestales, ocurridos en los municipios de la Costa del Sol occidental (provincia de Málaga), sobre sus áreas urbanizadas e infraestructuras viarias durante el periodo 1991 a 2013. Primero se lleva a cabo un análisis descriptivo de los incendios forestales registrados desde 1987 hasta 2015. Posteriormente, se caracteriza el grado de afección de los incendios forestales sobre áreas urbanas e infraestructuras viarias, a partir de la medición de la cercanía del fuego a las mismas. Los resultados muestran que la Costa del Sol occidental se sitúa como el área más afectada por el fuego en la provincia de Málaga, al mismo nivel de otras regiones españolas, con una importante actividad turística y una expansión desmedida de la superficie urbanizada. Los siniestros analizados adquieren carácter de incendio de interfase urbano-forestal debido a la urbanización intensa y dispersa por su territorio y a la densidad de su red viaria. La cartografía muestra que la población e infraestructuras viarias potencialmente afectadas por el fuego tienen una variabilidad anual muy elevada, aunque cada vez es más frecuente que se vea afectada directa o indirectamente, haciendo necesario la actualización constante de los sistemas de protección a la población. This study deals with the forest fire affecting the municipalities of Western Costa del Sol (province of Málaga, South of Spain), namely, in the urban areas and the main transportation network from 1991 to 2013. To do this, firstly, a descriptive analysis of the registered forest fires included in the Andalucía Government Map Historic Database from 1987 to 2015. Secondly, the affection distance of fire to urban areas and main roads were determined considering the following intervals: 0, 100, 500 and 1,000 m; 0 metres means fire affected directly. The main results are the following: i) the Western Costal del Sol is the most affected area by the fire in the province of Málaga, as well as at the same level than other Mediterranean regions in Spain; ii) the analysed fires could be classified as wildland-urban interphase fire due to the intense urbanization and dense road network along the Costa del Sol. From the mapping analysis, it can be pointed out population and road network with possibilities of being affected by the fire is high but also very variable in time, making necessary updated protection and surveillance systems.


Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 768
Author(s):  
Jin Pan ◽  
Xiaoming Ou ◽  
Liang Xu

Forest fires are serious disasters that affect countries all over the world. With the progress of image processing, numerous image-based surveillance systems for fires have been installed in forests. The rapid and accurate detection and grading of fire smoke can provide useful information, which helps humans to quickly control and reduce forest losses. Currently, convolutional neural networks (CNN) have yielded excellent performance in image recognition. Previous studies mostly paid attention to CNN-based image classification for fire detection. However, the research of CNN-based region detection and grading of fire is extremely scarce due to a challenging task which locates and segments fire regions using image-level annotations instead of inaccessible pixel-level labels. This paper presents a novel collaborative region detection and grading framework for fire smoke using a weakly supervised fine segmentation and a lightweight Faster R-CNN. The multi-task framework can simultaneously implement the early-stage alarm, region detection, classification, and grading of fire smoke. To provide an accurate segmentation on image-level, we propose the weakly supervised fine segmentation method, which consists of a segmentation network and a decision network. We aggregate image-level information, instead of expensive pixel-level labels, from all training images into the segmentation network, which simultaneously locates and segments fire smoke regions. To train the segmentation network using only image-level annotations, we propose a two-stage weakly supervised learning strategy, in which a novel weakly supervised loss is proposed to roughly detect the region of fire smoke, and a new region-refining segmentation algorithm is further used to accurately identify this region. The decision network incorporating a residual spatial attention module is utilized to predict the category of forest fire smoke. To reduce the complexity of the Faster R-CNN, we first introduced a knowledge distillation technique to compress the structure of this model. To grade forest fire smoke, we used a 3-input/1-output fuzzy system to evaluate the severity level. We evaluated the proposed approach using a developed fire smoke dataset, which included five different scenes varying by the fire smoke level. The proposed method exhibited competitive performance compared to state-of-the-art methods.


2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Ekaterina Podolskaia ◽  
Dmitriy Ershov ◽  
Konstantin Kovganko

<p><strong>Abstract.</strong> Geospatial approaches are widely used to organize access and to manage the extinguishing of forest fires globally. Term “transport accessibility” is used in a variety of geographical and economic researches. Assessment of transport accessibility is directly related to the feasibility study to locate the fire stations in a particular region. Location analysis of objects relative to other objects, while taking into account various quantitative and qualitative parameters, is a classical problem solved by geoinformation systems.</p><p>Present research work is aimed to be used to improve the situation with forest fires in Russia where one of the main asset of operational regional firefighting in the forests is a fire-and-chemical (fire) station. Traditionally station placement is under the responsibility of Russian region to which stations are administratively subordinate. The location of fire station is determined taking into account the species structure of forests, natural fire danger, road infrastructure and some other factors. Irkutsk region, one of the territories with the constant perennial fire danger in the forests, was chosen as a test area.</p><p>Using this area as a typical example of regional extent, an analysis of fire stations placement then planning the ground movement of fire brigades from a station to the forest fire locations has been carried out. Previously obtained results to create the shortest routes within three-hour accessibility for the fire hazardous seasons 2002&amp;ndash;2017 are used. Russian regulatory documents of the forest industry are applied. Thus, topic of GIS analysis serves as a continuation of the study (http://cepl.rssi.ru/wp-content/uploads/2018/11/Podolskaya-E.S.-et.-al..pdf, in Russian) and various aspects of transportation problem are considered on the example of Irkutsk region.</p><p>We used the following input data: point layer of fire stations, road network (including roads of different classes and forest glades), and archive of forest fires detected using the spectroradiometer MODIS from the Aqua and Terra spacecraft. Additional data were collected from the open regional Internet sources. GIS analysis used ArcGIS ArcMap Desktop extensions such as Network Analyst, Spatial Analyst, and ArcGIS tools like ET GeoWizards (https://www.ian-ko.com/).</p><p>We have developed and have used a <i>forest fire transport model of ground access</i> by trucks for the Irkutsk region with the spatial arrangement of fire stations, two protection zones and road network. Speed of the forest fire trucks is classified into 5 groups, taking into account the official permissions and road class. Also every segment of road has its attributive data of speed “adjusted” by the elevation value of the ETopo2, an open-access model (https://www.ngdc.noaa.gov/mgg/global/etopo2.html). Taking into consideration these relief data allows to decrease the vehicle’s speed in the mountainous conditions.</p><p>Based on the regional specifics and available data for a fire hazardous season, the following set of evaluation parameters was proposed, namely:</p><ul><li>Road network: roads existence, length, density, and configuration;</li><li>Spatial distribution of detected forest fires;</li><li>Territory of fire stations servicing.</li></ul><p>All the listed parameters are interconnected to each other and, in combination, jointly impact the stations ground transport accessibility assessment at the regional level. We have used GIS-analysis methods such as buffering, allocation, and density, as well as geographic and directional distribution. Time frame of analysis is the full fire hazardous season. Undertaken analysis for the forest fires detected within the ground protection zone (archive of 2002&amp;ndash;2017) has shown that the fire stations’ distribution was appropriate. The analysis was based on the assumption that stations had the same weight, geographical and transport location of the stations was reviewed in conjunction to the thematical forestry recommendations. To go further in the GIS analysis some characteristics (work force and technical resources) of the weighted stations could be added.</p><p>Additional factors of influence can be the location of protected areas with their specific access regime, seasonality of road use, forest fire zoning, forestry boundaries, economic criteria, placement of fire stations in the populated area, etc. It is advisable to conduct a fire stations placement analysis as a preparation event before and after the end of the fire-hazardous season to summarize the effectiveness of actions to extinguish forest fires in the region. Practical results of the study can be used as well to prepare the regional forestry development programs and plans.</p>


Author(s):  
Rudolf Kovalev ◽  
◽  
Irina Enaleeva-Bandura ◽  
Alexandr Nikonchuk ◽  
◽  
...  

Currently, we can state the fact that there is no developed unified scientific approach to determining the degree of the total ecological and economic damage from forest fires based on the ecosystem approach, taking into account the multipurpose of forest benefits and the dependence of achieving the effectiveness of forestry and fire-fighting measures on the level of development of the transportation network on the territory of the forest fund. Hence, we can conclude that the development of a method for assessing the magnitude of ecological and economic damage from fires to forest ecosystems considering the factor of planning a forest road network is an urgent scientific issue. In this regard, the purpose of the article is to develop a methodology for assessing the degree of ecological and economic damage from fires to forest ecosystems, taking into account the planning factor of the forest road network and its testing. Within this framework, the article outlines the issues under study concerning the need for forecasting: the probability of forest fires, the area of their spread over the territory of the forest fund, the assessment of the degree of the possible ecological and economic damage to forest ecosystems. The study of these issues is necessary for the timely implementation of fire-prevention and restoration measures, as well as the determination of the value of optimal reserves sufficient to eliminate the consequences of forest fires, the assessment of the correlation of the indicator of total ecological and economic damage from fires with the level of development of the transportation network, which directly affects this indicator. The article presents a mathematical model developed by the authors, which forms the basis of the proposed method for assessing the degree of ecological and economic damage from fires considering the factor of planning the creation and development of the forest road network. The presented methodological development is based on the tools of economic and mathematical modeling, elements of the theory of probability and combinatorics, as well as an integrated interdisciplinary approach to the research object. The article also presents the results of a computational and numerical experiment using the developed methodological apparatus. The methodology proposed by the authors can be used in identifying the most fire-hazardous areas of the forest fund, development of measures to preserve biodiversity, planning logging, reforestation work, etc.


Author(s):  
A. E. Akay

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.


2021 ◽  
Vol 886 (1) ◽  
pp. 012001
Author(s):  
A M Rafii ◽  
S Millang

Abstract The Covid-19 pandemic poses a threat of forest destruction, especially forest fires, along with the increase of intensity of humans entering and exploring the forest. It is suspected that many people who live in urban areas have lost their jobs due to layoffs and moved to villages, and then opened new lands because their supporting facilities were no longer relevant to the current conditions, the COVID-19 pandemic. These people who abruptly start their activities in the forest and do not understand the rules of preventing forest fires are making the forests vulnerable to fires. The purpose of this study was to determine the effect of the COVID-19 pandemic on the dangers of forest and land fires in South Sulawesi. It used a descriptive method, and data was collected through in-depth interviews with communities that are affected by the COVID-19 pandemic and live around the fire-prone forest areas. The results of the observation were processed by descriptive analysis to get the conclusion. The results showed that about 72% of the affected people are carried out activities in forest areas which 78% of them did not understand the rules of forest and land fire hazards. The results of this study will be recommended to the government, particularly to the policymakers in controlling forest and land fires, especially during the Covid-19 pandemic.


Author(s):  
Kruti Patel

Inundation and related problems have become more uncontrollable all over the world leading to unexpected deaths, severe damage to infrastructure, and epidemics like conditions every year. A great number of cities in India have reported a series of heavy hazardous precipitation events during past few years. The immediate effects observed of floods specifically in urban areas are on the transportation network leading to its disruption. Most of the studies on transportation susceptibility including immediate and shortly after inundation events consider topographic properties along with supply and demand side of transportation system to access the disruption caused. In response to such events, this study aims to provide framework to access the susceptibility to urban road network due to inundation events. An integrated framework between meteorological information, land use functions, and hydrodynamic model simulated in HEC-RAS with rainfall event with 1-in-100 year is used for the analysis of the impacts being generated on the transportation infrastructure by such event. A critical map and index is developed to identify affected road length susceptible to flood. It has been observed that more than 40 percent of road length across the network has been affected by such unpredictable events. Also, there is a significant decrease in average speed of movement as compared to average normal speed observed on the normal days.


2018 ◽  
Vol 29 (1) ◽  
pp. 110-130 ◽  
Author(s):  
Kolawole Ewedairo ◽  
Prem Chhetri ◽  
Ferry Jie

Purpose The purpose of this paper is to measure and map the potential transportation network impedance to last-mile delivery (LMD) using spatial measures representing attributes of road network and planning controls. Design/methodology/approach The transport network impedance is estimated as the potential hindrance to LMD as imposed by the characteristics of the built and regulatory environment. A matrix of key transport and planning measures are generated and overlaid in geographical information systems to compute and visualise the levels of transportation network impedance to LMD using a composite indexing method. Findings The mapped outputs reveal significant spatial variation in transportation network impedance to LMD across different part of the study area. Significant differences were detected along the road segments that connect key industrial hubs or activity centres especially along tram routes and freight corridors, connecting the Port of Melbourne and logistic hub with the airport and the Western Ring Road. Research limitations/implications The use of static measures of transport and urban planning restricts the robustness of the impedance index, which can be enhanced through better integration of dynamic and real-time movements of business-to-business LMD of goods. Spatial approach is valuable for broader urban planning at a metropolitan or council level; however, its use is somewhat limited in assisting the daily operational planning and logistics decision making in terms of dynamic routing and vehicle scheduling. Practical implications The built and regulatory environment contributes to the severity of LMD problem in urban areas. The use of land use controls as instruments to increase city compactness in strategic nodes/hubs is more likely to deter the movement of urban freight. The mapped outputs would help urban planners and logisticians in mitigating the potential delay in last-mile deliveries through devising localised strategies such as dedicated freight corridors or time-bound deliveries in congested areas of road network. Originality/value This is the first study that measured the potential transport network impedance to LMD and improved understanding of the complex interactions between urban planning measures and LMD. Micro-scale mapping of transportation network impedance at the street level adds an innovative urban planning dimension to research in the growing field of city logistics.


2019 ◽  
Vol 10 (1) ◽  
pp. 102-115 ◽  
Author(s):  
Adji Achmad Rinaldo Fernandes ◽  
Raffles Brotestes Panjaitan ◽  
Solimun Solimun

Purpose The purpose of this research is to analyze the effect of community and company participation on corporate governance and forest fire prevention in the forest zone, which has a high level of vulnerability to forest fires, in Indonesia. Design/methodology/approach The survey method in this research used a quantitative approach with the survey method, with the sample being forest areas having a high level of vulnerability to forest fires in Indonesia. This study used a questionnaire instrument and was conducted from January to March 2017. The research population was 105 villages located in forest areas in six major provinces known to endure the largest forest fires in Indonesia. From a total population of 258 villages, 52 were selected for this study. The proportional random sampling area technique was used. The data analysis methods selected in this research were descriptive analysis and inferential statistical analysis using the partial least squares method. Findings Community and company participation has a significant effect on the implementation of good governance. The implementation of good governance has a significant effect and community and company participation has no direct effect on the forest fire policy, but through good governance mediation, an indirect effect of community participation on the forest fire policy is seen. Originality/value No previous research has comprehensively studied the role of community and company participation and implementation of good forest fire governance on the forest fire policy.


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