Download or read book Predicting the Daily Occurrence of People caused Forest Fires written by Kourtz, Peter H and published by Chalk River, Ont. : Petawawa National Forestry Institute, Forestry Canada. This book was released on 1991 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting the Daily Occurrence of Lightning caused Forest Fires written by Peter H. Kourtz and published by Chalk River, Ont. : Petawawa National Forestry Institute. This book was released on 1991 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper describes the method currently used to predict the daily number and location of lightning-caused fires, including the various components of the model that predict occurrence, ignition, smouldering fires, and detectable fire. Evaluation results are given and discussed.
Download or read book A Logit Model for Predicting the Daily Occurrence of Human Caused Forest Fires written by Wiktor L. Adamowicz and published by . This book was released on 1995 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Logistic Model for Predicting Daily People caused Forest Fire Occurrence in Ontario written by David L. Martell and published by . This book was released on 1987 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting The Daily Occurance Of Lightning caused Forest Fires written by P. Kourtz and published by . This book was released on 1992 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development of Mathematical Models for Predicting Daily People caused Forest Fire Occurrence in Ontario written by David Leigh Martell and published by . This book was released on 1985 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Browsing Science Research at the Federal Level in Canada written by Brian B. Wilks and published by University of Toronto Press. This book was released on 2004-01-01 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wilks provides a historical background, list of publications, and description of activities for most of the major science initiatives undertaken at the federal level. He surveys a wide range of government documents and monographic and serial science collections used by both faculty and students.
Download or read book Forecasting Fire Occurrence Using 500 MB Map Correlation written by David M. Henry and published by . This book was released on 1978 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Forest Fires written by Edward A. Johnson and published by Elsevier. This book was released on 2001-03-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even before the myth of Prometheus, fire played a crucial ecological role around the world. Numerous plant communities depend on fire to generate species diversity in both time and space. Without fire such ecosystems would become sterile monocultures. Recent efforts to prohibit fire in fire dependent communities have contributed to more intense and more damaging fires. For these reasons, foresters, ecologists, land managers, geographers, and environmental scientists are interested in the behavior and ecological effects of fires. This book will be the first to focus on the chemistry and physics of fire as it relates to the ways in which fire behaves and the impacts it has on ecosystem function. Leading international contributors have been recruited by the editors to prepare a didactic text/reference that will appeal to both advanced students and practicing professionals.
Download or read book Wildland Fire Danger Estimation And Mapping The Role Of Remote Sensing Data written by Emilio Chuvieco and published by World Scientific. This book was released on 2003-09-29 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management.
Download or read book A System to Predict the Occurrence of Lightning caused Forest Fires written by P. H. Kourtz and published by 1974.. This book was released on 1974 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How to Predict the Spread and Intensity of Forest and Range Fires written by Richard C. Rothermel and published by . This book was released on 1983 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual documents procedures for estimating the rate of forward spread, intensity, flame length, and size of fires burning in forests and rangelands. Contains instructions for obtaining fuel and weather data, calculating fire behavior, and interpreting the results for application to actual fire problems.
Download or read book Predicting Forest Fire Occurrence in Ontario microform written by Brian Michael Wotton and published by Library and Archives Canada = Bibliothèque et Archives Canada. This book was released on 2004 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation documents the investigation and identification of factors influencing forest fire occurrence and describes the development and structure of models of forest fire occurrence in the forests of Ontario. An exploratory analysis of lightning strike density and rainfall relationships was carried out to determine if such a relationship could be used to improve inter-station rainfall estimation: only weak relationships between lightning and rainfall could be identified. A new moisture index, the Sheltered Duff Moisture Code (SDMC), was developed to improve lightning fire prediction capability across the country. This new index tracks forest floor moisture content at heavily sheltered areas of a stand (where lightning ignitions generally occur) better than the currently used Duff Moisture Code of the Canadian Forest Fire Weather Index (FWI) System. The SDMC can be integrated easily with the FWI System, and be adopted immediately by fire management agencies in Ontario and across the country. Logistic regression models of the probability of a lightning strike igniting a fire were developed for Ontario's fire region. The SDMC was shown to be a strong and consistent predictor in each of these models, while the presence of positive lightning strikes in an area, the timing of a lightning storm, and weather and fuel moisture conditions following a storm were also shown to have significant influence on the probability of lightning fire ignition. These daily models of lightning fire occurrence capture both low and extremely high periods of lightning fire activity well. Poisson regression methods were used to develop people-caused fire occurrence prediction models for each of the ecoregions in Ontario's fire region. Fuel moisture indices and an index of the probability of sustained flaming were identified as significant predictors of people-caused fire activity. The application of these newly developed predictive models of lightning- and people-caused fire occurrence are discussed in detail in terms of both the current daily operations of a fire management agency and the development of climate change impacts scenarios.
Download or read book A System to Predict the Occurrence of Lighting caused Forest Fires written by P. H. Kourtz and published by . This book was released on 1974 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Compendium of Forest Growth and Yield Simulators for the Pacific Coast States written by Martin W. Ritchie and published by . This book was released on 1999 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fireinform written by Fatima Anwer and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every year, thousands of forest fires occur in Canada; these fires pose risks to people's lives, health, and property and incur huge fire suppression costs. Accurate prediction of fire occurrences at finer temporal and spatial resolutions could aid in deploying fire-fighting resources efficiently. Timely deployment of resources at precise locations could help control fires at an earlier stage, which would reduce damage. We propose an approach to predicting forest fire occurrences at hourly intervals in small rectangular regions across Saskatchewan. To make these predictions, we pre- pared a suitable dataset, trained three machine learning classification models, namely Decision Tree, K-Nearest Neighbor (KNN), and Hidden Markov Model (HMM), and evaluated them using six performance measures. The hourly weather, vegetation, and forest fire ignitions datasets were integrated, cleaned, and transformed into time series classification format, to form the forest re occurrence (FFO) dataset. Any values missing from the instances were estimated using appropriate imputation techniques. To remove class imbalance from the FFO dataset, we applied a domain-specific undersampling approach. Predicting whether or not a fire will occur at the current hour at a given location is a binary classification problem. A model is used to predict a label, either fire or non-fire. The inputs to the model are, the weather conditions for the previous 24 hours and the current hour, as well as the vegetation type at the location. Predicting fire occurrences is an imbalanced learning problem because the ratio of non-fires to fires is very high. Our experiments studied the performance of machine learning classifiers as this ratio was increased. The experiments used two training regimes. With imbalanced training (IMB), the ratio is identical for the training and testing sets. With balanced training (BAL), the ratio for the training set is fixed at 50:50 while the ratio for the testing set is varied. Our results show that the Decision Tree and KNN-IMB models are better suited to forest fire occurrence prediction for finer temporal and spatial resolutions than are the KNN-BAL and HMM models. In particular, Decision Tree and KNN-IMB provide the highest F1-Scores.
Download or read book Early Warning Systems for Natural Disaster Reduction written by Jochen Zschau and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for a broad audience this book offers a comprehensive account of early warning systems for hydro meteorological disasters such as floods and storms, and for geological disasters such as earthquakes. One major theme is the increasingly important role in early warning systems played by the rapidly evolving fields of space and information technology. The authors, all experts in their respective fields, offer a comprehensive and in-depth insight into the current and future perspectives for early warning systems. The text is aimed at decision-makers in the political arena, scientists, engineers and those responsible for public communication and dissemination of warnings.
