Geo-information Based Model for Assessing and Monitoring Forest Fire Risk in the State of Missouri, United States of America

Geo-information Based Model for Assessing and Monitoring Forest Fire Risk in the State of Missouri, United States of America PDF Author: Omolola Victoria Akinola
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 78

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Book Description
Despite the fact that a lot of resources has been invested in fire protection and suppression, the number of fires recurring in Missouri in recent decades has continued to markedly increase. Much of forest research has focused on the biological and physical aspects of fire with comparatively less attention given to the importance of socio-economic variables and risk assessment. There is therefore the need to develop a framework for the assessment and monitoring of forest fire risk which is presently lacking in the state of Missouri. This is where this study derives its relevance. Missouri is currently ranked among the top seven states ravaged by wildfires in the United States. The specific objectives are to apply a geoinformation based model for the assessment of wildfire risk in Missouri; assess social vulnerability to wildfire, analyze the relationship between climate variability and wildfires; and examine wildfire policy in the United States, and the implications for wildfire risk reduction in Missouri. Forest risk and vulnerability assessment of Missouri was undertaken using some measurable environmental parameters influencing forest fire risk and vulnerability. Using the four ecological zones in Missouri and geospatial model as the basis of analysis, three forest risk zones were identified. These are high forest fire risk zones, moderate forest fire risk zone and low forest fire risk zone. Also, social vulnerability to wildfire risk in Missouri was assessed with the American Community Survey data on social and demographic variables for the state of Missouri and social vulnerability index (S0VI). The study divided Missouri into five geopolitical zones from which ten counties were randomly selected for this study. The selected counties formed the basis on which fourteen social and demographic indicators were identified and assessed using Bogardi, Birkmann and Cadona conceptual framework. The result of the analysis shows that S0VI estimated for the five geopolitical zones of Missouri is moderate with a rating scale of 1.42 – 1.71. Education, income and marital status have a rating scale of 2.0 - 3.0 attributed for the high value of Social Vulnerability to wildfire. Race / ethnicity, language spoken, employment and percentage of house units that are mobile homes had a low S0VI value of 1.0 thereby contributing positively to resilience to wildfire risk. The relationship between climate variability and wildfire occurrence in Missouri was analyzed by examining the correlation between wildfire seasonality frequency, acres burned, and temperature from 1995 to 2018 using Pearson correlation method. The results reveal no significant correlation between climate and wildfire occurrence in Missouri. However, the study observes that other factors such as arson arising from human activities could have contributed to wildfire occurrence in Missouri. Finally, the study examines the failure of wildfire mitigation policy framework in the state, and how this has impacted wildfire mitigation efforts in the state of Missouri. The study concludes that though government involvement in wildfire risk reduction is quite impressive, there is no policy framework at the local and state level towards combating wildfire hazards. This becomes necessary because wildfire in Missouri is human induced caused majorly by arson. The current social and demographic characteristics of forest landowners, land use change, wildland-urban-interface, ecological and climate change are critical factors that must be put into consideration in formulating effective and sustainable wildfire policy reduction initiatives in Missouri.

Geo-information Based Model for Assessing and Monitoring Forest Fire Risk in the State of Missouri, United States of America

Geo-information Based Model for Assessing and Monitoring Forest Fire Risk in the State of Missouri, United States of America PDF Author: Omolola Victoria Akinola
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 78

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Book Description
Despite the fact that a lot of resources has been invested in fire protection and suppression, the number of fires recurring in Missouri in recent decades has continued to markedly increase. Much of forest research has focused on the biological and physical aspects of fire with comparatively less attention given to the importance of socio-economic variables and risk assessment. There is therefore the need to develop a framework for the assessment and monitoring of forest fire risk which is presently lacking in the state of Missouri. This is where this study derives its relevance. Missouri is currently ranked among the top seven states ravaged by wildfires in the United States. The specific objectives are to apply a geoinformation based model for the assessment of wildfire risk in Missouri; assess social vulnerability to wildfire, analyze the relationship between climate variability and wildfires; and examine wildfire policy in the United States, and the implications for wildfire risk reduction in Missouri. Forest risk and vulnerability assessment of Missouri was undertaken using some measurable environmental parameters influencing forest fire risk and vulnerability. Using the four ecological zones in Missouri and geospatial model as the basis of analysis, three forest risk zones were identified. These are high forest fire risk zones, moderate forest fire risk zone and low forest fire risk zone. Also, social vulnerability to wildfire risk in Missouri was assessed with the American Community Survey data on social and demographic variables for the state of Missouri and social vulnerability index (S0VI). The study divided Missouri into five geopolitical zones from which ten counties were randomly selected for this study. The selected counties formed the basis on which fourteen social and demographic indicators were identified and assessed using Bogardi, Birkmann and Cadona conceptual framework. The result of the analysis shows that S0VI estimated for the five geopolitical zones of Missouri is moderate with a rating scale of 1.42 – 1.71. Education, income and marital status have a rating scale of 2.0 - 3.0 attributed for the high value of Social Vulnerability to wildfire. Race / ethnicity, language spoken, employment and percentage of house units that are mobile homes had a low S0VI value of 1.0 thereby contributing positively to resilience to wildfire risk. The relationship between climate variability and wildfire occurrence in Missouri was analyzed by examining the correlation between wildfire seasonality frequency, acres burned, and temperature from 1995 to 2018 using Pearson correlation method. The results reveal no significant correlation between climate and wildfire occurrence in Missouri. However, the study observes that other factors such as arson arising from human activities could have contributed to wildfire occurrence in Missouri. Finally, the study examines the failure of wildfire mitigation policy framework in the state, and how this has impacted wildfire mitigation efforts in the state of Missouri. The study concludes that though government involvement in wildfire risk reduction is quite impressive, there is no policy framework at the local and state level towards combating wildfire hazards. This becomes necessary because wildfire in Missouri is human induced caused majorly by arson. The current social and demographic characteristics of forest landowners, land use change, wildland-urban-interface, ecological and climate change are critical factors that must be put into consideration in formulating effective and sustainable wildfire policy reduction initiatives in Missouri.

Geospatial Information

Geospatial Information PDF Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Forest fires
Languages : en
Pages : 88

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Book Description


Modelling, Monitoring and Management of Forest Fires II

Modelling, Monitoring and Management of Forest Fires II PDF Author: G. Perona
Publisher: WIT Press
ISBN: 1845644522
Category : Nature
Languages : en
Pages : 305

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Book Description
As in the past, future forest fire scenarios are impacted by climatic trends and changes in climatic extremes, as well as by anthropic pressure. It is to be expected that future trends, especially in the Mediterranean regions, will certainly lead to an increasing impact of human pressure on the natural environment, due to increases in tourism and to the enlargement of urban residential areas invading the countryside. Forecasting the effects of both factors (climatic and anthropic) and separating their effects on forest fires frequencies may be particularly difficult, but is essential to improve our knowledge of forest fire occurrence probability and to better organize prevention and fighting activities. At the same time, estimation of the possible increase of fire risk over coming years is important, taking into account also the diverse fire prone environments present in the Mediterranean as well as many other areas (mountain slopes, coastal zones, large islands, etc). This book contains peer-reviewed papers presented at the Second International Conference on Modelling, Monitoring and Management of Forest Fires held in Kos, Greece, in 2010. The papers covered important topics in the field of prevention and fighting of forest fires, including: Computational Methods and Experiments; Air Quality and Health Risk Models; Detection, Monitoring and Response Systems; Decision Support Systems; Resource Optimization; Risk Assessment and Vulnerability Assessment.

Forest Fire Risk Modeling of the Mark Twain National Forest

Forest Fire Risk Modeling of the Mark Twain National Forest PDF Author: Andrew C. Ferguson
Publisher:
ISBN:
Category : Electronic Dissertations
Languages : en
Pages : 91

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Book Description
Changing regional climate conditions have increased the sensitivity of many forests to fire. In Missouri, this increased risk has been realized in major stands such as Mark Twain National Forest. This thesis works towards a better understanding of the morphology of large scale forest fires and what regional conditions have the greatest effect on fire propagation. This study uses geographic information systems (GIS) coupled with fire simulation software (FARSITE) to model fire spread within Mark Twain National Forest. In particular, the goals of this research are to determine what conditions can give rise to large scale fires. The research found that precipitation has the greatest effect on fire propagation over a short time frame. However over longer time frames with only receiving precipitation on one or two of the days, the effects of precipitation are minimized. Studies of forest fire propagation under varying realistic conditions are needed to inform forestry management personnel and state decision makers of the potential for devastating large scale forest fires. These results could be used to assist in strategic fire prevention activities and preparations for mitigating damage to the forest, surrounding regions, and the local populations.

Development of GIS-based Methods for Modeling Fire Hazard

Development of GIS-based Methods for Modeling Fire Hazard PDF Author: Mohamed Mansour Elshabrawy
Publisher:
ISBN:
Category : Fire risk assessment
Languages : en
Pages : 0

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Book Description
Wildland fires are natural occurrences in the woodland landscape that play a vital ecological role in Canada's boreal forest region. However, they also endanger human life and can disrupt timber resources and other economic assets. Recently, wildfires have ravaged areas of British Columbia, Alberta, California, and other parts of North America, Europe, and Australia. Loss of human life, the economic repercussions in terms of suppression expenses and property damage have been staggering. Many of these fires have occurred near the wildland-urban interface, mostly natural regions increasingly subject to human development. As the population in these areas grows, there is a greater risk of economic impact and human loss. As a result, it is critical to provide an accurate classification of the green spaces as well as which areas pose the greatest risk of fire depending on the ignition sources found in the forested areas. Consequently, developing a fire risk assessment model can be used to effectively locate high risk areas/zones and form a foundational building block for conducting future research for fire prevention strategies or evacuation plans, and policy intervention. This model would also help in locating the low-risk areas/zones to be developed since they could add to the destructive consequences if ignored in the planning and expansion process. To develop an effective assessment model, this thesis has three main tasks. The first task is to provide a thorough review of existing literature, followed by background information that will help to build a contemporary, urban fire risk model. As a case study to form the basis of a fire risk model, this research uses anthropogenic, biologic, topographic, and climatic data from the City of Edmonton (CoE). This is then layered and mapped onto the City's geographic location using ArcGIS and Python scripting language and then combined with data obtained from large datasets. The datasets in this research are satellite imaginary, aerial LiDAR dataset, urban Primary Land and Vegetation Inventory (uPLVI), and Road Weather Information Systems (RWIS) data, used to extract 12 variables that represent the fire risk assessment model. Fire risk assessment maps are subsequently generated by processing and analyzing all the datasets using the analytical hierarchy process (AHP) technique. The output of this research effort is a fire risk model that identifies the locations with the highest risk of wildfire within the CoE. Secondly, this study forecasts the wildland fire risk for 2050 and 2080, given the climatic projections from IPCC RCP4.5 and RCP8.5 (Representative Concentration Pathway). This analysis offers a better understanding of the forecasted climate change by highlighting transportation development and evacuation planning and integrating a multitude of data sources, including temperatures, precipitation, wind speed, and humidity levels. Results indicate that from 2021 to 2050, the fire risk may increase by almost 20%. Furthermore, the risk will increase by another 11% from 2050 to 2080 for the City of Edmonton. Finally, a comprehensive discussion that illustrates all the findings of the fire risk maps, current and forecasted, is presented. The fire risk map and the road map of the CoE are overlayed to facilitate insight into transportation development and evacuation planning. To help create a climate resilient municipality, an ecological vulnerability classification map is constructed to identify developable areas and areas that should remain under preservation. Since creating awareness for climate adaptation and zone resiliency is a shared goal among stakeholders, a brief discussion on the role of each stakeholder is provided. The discussion covers strategies for fire prevention and mitigation in high-risk areas/zones, as well as establishing several cornerstones for strategic planning and action to strengthen climate resilience and the transportation development foundation of urban communities.

Modelling, Monitoring and Management of Forest Fires III

Modelling, Monitoring and Management of Forest Fires III PDF Author: C. A. Brebbia
Publisher: WIT Press
ISBN: 1845645847
Category : Nature
Languages : en
Pages : 259

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Book Description
Forest fires analysis and mitigation requires the development of computer codes that can take into consideration a large number of different parameters. The papers in this book, presented at the third in a successful series on the topic, cover the latest research and applications of available computational tools to analyse and predict the spread of forest fires in an attempt to prevent or reduce major loss of life and property as well as damage to the environment. Featured topics include: Risk and Vulnerability Assessment; Computational Methods and Experiments; Environmental Impact Models; Air Pollution and Health Risk Models; Eco-Remediation Models; Decision Support Systems;Monitoring Systems; Emergency Response Systems; Economic Impact; Human Behaviour and Education, Rural-Urban Interface; Case Studies.

Modelling, Monitoring and Management of Forest Fires

Modelling, Monitoring and Management of Forest Fires PDF Author: J. de las Heras
Publisher: WIT Press
ISBN: 1845641418
Category : Nature
Languages : en
Pages : 433

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Book Description
At present there is insufficient knowledge of the behavior of fires and how they propagate. This lack of information makes it very hard to control these phenomena and is one of the biggest obstacles to the development of a reliable decision support system. Public concern regarding this topic is increasing as uncontrolled fires may lead to major ecological disasters, and usually result in negative economic and health implications for the region. Containing papers presented at the First International Conference on Modelling, Monitoring and Management of Forest Fires, this book addresses the latest research and applications of available computational tools to analyse and predict the spread of forest fires in order to prevent or reduce major loss of life and property as well as damage to the environment. Such tools must be able to take into consideration a large number of different parameters. The book thus deals with all aspects of forest fires, from fire propagation in different scenarios to the optimum strategies for fire-fighting. It also covers issues related to economic, ecological, social and health effects. Featured topics include: Computer Models for Fire Propagation; Risk and Vulnerability Assessment; Fire Combustion Models; Computational Methods and Experiments; Case Studies; Emergency Response Systems; Optimization Models for Fire Mitigation; Environmental Impact Models; Air Pollution and Health Risk; Interaction between Meteorological and Forest Fires Models; Economic Impact Models; Forest Material Characterisation; Eco Remediation Models; Decision Support Systems; Monitoring Systems and Data Acquisition and Analysis.

Guidance on spatial wildland fire analysis

Guidance on spatial wildland fire analysis PDF Author: Richard D. Stratton
Publisher:
ISBN:
Category : Wildfires
Languages : en
Pages : 18

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Development of Coarse-scale Spatial Data for Wildland Fire and Fuel Management

Development of Coarse-scale Spatial Data for Wildland Fire and Fuel Management PDF Author:
Publisher:
ISBN:
Category : Forest fires
Languages : en
Pages : 50

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Forest Fires in Missouri

Forest Fires in Missouri PDF Author: Donald A. Haines
Publisher:
ISBN:
Category : Forest fires
Languages : en
Pages : 20

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Book Description