The 1976-1977 Drought Situation in Ontario

1979 ◽  
Vol 55 (3) ◽  
pp. 91-94 ◽  
Author(s):  
B. J. Stocks
Keyword(s):  
Natural Resources ◽  
Forest Fire ◽  
Reliable Method ◽  
Task Force ◽  
Atmospheric Environment ◽  
Fire Control ◽  
University Of Toronto ◽  
Environment Service

The recent drought situation in Ontario was investigated, from a forest fire control standpoint, by a task force consisting of Canadian Forestry Service, Ontario Ministry of Natural Resources, Atmospheric Environment Service and University of Toronto representatives. Results indicate that monitoring of precipitation alone is not a reliable method of establishing the duration and severity of droughts.

scholarly journals REAL TIME APPLICATION OF AN OIL SPILL MOTION PREDICTION SYSTEM

1985 ◽  
Vol 1985 (1) ◽  
pp. 235-242
Author(s):  
V. R. Neralla ◽  
S. Venkatesh
Keyword(s):  
Real Time ◽  
Oil Spill ◽  
Task Force ◽  
Primary Objective ◽  
Atmospheric Environment ◽  
Motion Prediction ◽  
Prediction System ◽  
Secondary Objective ◽  
Operational Decision Making ◽  
Environment Service

ABSTRACT This paper deals with the prediction in real time of the motion of experimental oil slicks. These slicks were the subject of an oil spill experiment organized by the joint Government/Industry Canadian Aerial Applications Task Force. These experiments offshore were conducted during September 1983 near Halifax on the east coast of Canada, at 44°30′ N, 63°00′ W. The primary objective of the experiments was to determine the suitability of oil spill dispersants as countermeasures. A secondary objective was the testing and verification of oil spill trajectory models and systems. The Atmospheric Environment Service (AES) participated in the experiments to test the capability of its oil spill motion prediction system in providing real time trajectory forecasts. The AES system resident on computer facilities at the Canadian Meteorological Centre in Montreal was accessed through standard telephone lines, with appropriate output products available on a computer terminal near the experiment site. The experiment consisted of three sets of spills. Each set had a control slick and a test slick. Sixteen barrels of crude oil were used in each spill. The test slicks were used to test the effectiveness of various dispersants, the control slicks were used to verify trajectory forecasts. The spill trajectories and oil weathering information obtained from the system during the experiments demonstrated the relative ease with which the system could handle the required input and provide timely forecasts. The accuracy of these forecast trajectories was confirmed by observations, and their utility was demonstrated by their application in the operational decision making process.

The Jiagedaqi Project: Forest Fire Control in China

1990 ◽  
Vol 66 (3) ◽  
pp. 266-270 ◽  
Author(s):  
Bob Thomas
Keyword(s):  
Natural Resources ◽  
Forest Fire ◽  
Fire Management ◽  
Northeastern China ◽  
Federally Funded ◽  
Fire Control ◽  
Forest Fire Management ◽  
History Of ◽  
Management Project

In 1982, the Ontario Ministry of Natural Resources agreed to become principal executing agency in a federally funded initiative aimed at creating a model forest-fire management project in northeastern China. The article gives a brief history of the project, which is expected to reach a successful conclusion in December 1991.

scholarly journals Recognition of Forest Fire Spruce Type Tagging using Machine Learning Classification

2019 ◽  
Vol 8 (3) ◽  
pp. 4309-4313
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Natural Resources ◽  
Forest Fire ◽  
Performance Metrics ◽  
Forest Area ◽  
Experimental Result ◽  
Fire Control ◽  
Machine Learning Classification ◽  
Fire Type

In recent times, the natural resources are demolished due to the technological growth. The agricultural and the forest area are transformed to industries, Storage Warehouse and Container logistics companies to facilitate the living standards. This leads to scarcity of natural resources for the people to live a comfortable life. Due to the change of natural environment and fluctuations in the climate conditions, the forest has the chance of occurrence of fire. The forest fire is the resultant of high temperature, land mine, flight crashes and satellite damages from the environment. The precaution must be taken in advance to protect the coverage of fire. The less attention to fire control may lead to entire damage of the forest and the spreading of fire occurs due to the high wind blow. This makes researchers to focus on helping the forest area to overcome from the fire attack. The detection of fire type is a challenging task after the occurrence of the damage. With this view, we address the prediction of fire type classification using machine learning classification algorithms. The Forest Cover Type dataset is downloaded from UCI Data warehouse repository and done with classification analysis. The prediction of absent hours is achieved in the methodology of four steps. At first, the important feature attributes are found and depicted as a chart. Secondly, the raw dataset is applied to all the classification models like Logistic regression, Kernel SVM, KNN, Decision Tree, Naïve Bayes and Random Forest. Thirdly, the dataset is reduced with PCA and then the reduced dataset is fitted to all the classifiers. Fourth, Performance analysis is done by analyzing the performance metrics like Accuracy, FScore, Recall and Precision. The real time execution is performed by python in Anaconda Spyder Navigator Integrated Development Environment. Experimental Result shows that the Random Forest classifier is obtained with the accuracy of 92% before applying PCA. After applying PCA, the classifier namely Random forest is analyzed to be having the accuracy of 78% for 15 components, 83% for 20 components and 89% for 25 components.

scholarly journals Strategy for increasing the participation of masyarakat peduli api in forest fire control

2018 ◽  
Vol 126 ◽  
pp. 012148 ◽  
Author(s):  
N L K Ni’mah ◽  
H Herdiansyah ◽  
T E B Soesilo ◽  
E F Mutia
Keyword(s):  
Forest Fire ◽  
Fire Control

scholarly journals PERFIL DOS INCÊNDIOS FLORESTAIS NO BRASIL DE 1994 A 1997

FLORESTA ◽  
2002 ◽  
Vol 32 (2) ◽  
Author(s):  
Ronaldo Viana Soares ◽  
Juliana Ferreira Santos
Keyword(s):  
Forest Fire ◽  
Vegetation Type ◽  
Secondary Growth ◽  
Minas Gerais ◽  
Size Class ◽  
Fire Season ◽  
Burned Area ◽  
Native Forest ◽  
Fire Statistics ◽  
Fire Control

O conhecimento do perfil dos incêndios florestais é muito importante para o planejamento do controle dos mesmos. O objetivo deste trabalho foi estabelecer o perfil dos incêndios florestais no país através de dados coletados, em áreas protegidas, no período de 1994 a 1997, através de formulários preenchidos por empresas e instituições florestais. Foram registrados e informados 1.957 incêndios e apesar deste número não representar a totalidade dos incêndios ocorridos no período estudado, constituiu-se numa base confiável para se conhecer as principais características dos incêndios. Os resultados mostraram que a área média atingida por incêndio no período analisado foi de aproximadamente 135 ha, sendo Minas Gerais o estado líder, tanto em número de incêndios informados (62,7% do total) como em área queimada (25,2%). O grupo Incendiários foi a principal causa dos incêndios, com 56,6% das ocorrências, vindo a seguir as Queimas para limpeza com 22,1%. Com relação à área queimada o grupo Queimas para limpeza , com 74,1% da superfície atingida, foi a principal causa, ficando o grupo Incendiários em segundo lugar com 19,8%. A principal estação de incêndios no país se estende de julho a novembro, quando ocorreram 79,2% dos incêndios, correspondendo a 98,6% da área atingida. O maior número de incêndios (39,7% das ocorrências) foi registrado em Outro tipo de vegetação, que inclui cerrado, capoeira e campo. Com relação à área atingida, entretanto, 92,5% foi registrada em Florestas Nativas. Quanto à distribuição dos incêndios através das classes de tamanho, 23,9% foi enquadrado na classe I ( 0,1 ha). É importante ressaltar que quanto maior a eficiência no combate aos incêndios, maior é a concentração dos mesmos na classe I. Apesar de corresponder a apenas 2,4% das ocorrências, os incêndios da classe V ( 200,0 ha) foram responsáveis por 94,5% da área queimada. FOREST FIRE STATISTICS IN BRAZIL FROM 1994 TO 1997 Abstract Forest fire statistics knowledge is an important tool for fire control planning. The objective of this research was to collect information on forest fire occurrence in Brazilian protected areas in the period of 1994 to 1997. The analyzed variables were the number of fires and burned areas per state of the federation, monthly distribution, probable causes, affected vegetation, size class distribution, and average burned area per fire. Results showed that the average burned area per fire was approximately 135 ha and Minas Gerais ranked first, both in number of registered fires (62.7%) and burned surface (25.2%). Incendiary, with 56.6% of the occurrences was the leading cause, followed by debris burning with 22.1%. However, as for the affected area, Debris burning was the leading cause (74.1%), followed by Incendiary (19.8%). The fire season extends from July to November, when 79.2% of the fires occurred, corresponding to 98.6% of the burned surface. Miscellaneous, that includes savanna, secondary growth forest, and grassland were the most affected vegetation type (39.7% of the occurrences). In relation to the burned surface, Native Forest (92.5%) ranked first. The distribution of the registered fires through the size classes presented 23.9% of the occurrences in Class I ( 0.1 ha), whereas 94.5% of the burned area were result of Class V ( 200 ha) fires. Size Class II (0.1 to 4.0 ha), with 49.1% of the occurrences, ranked first in number of registered fires during the analyzed period.

scholarly journals Trade Agreements, Competition, and the Environment: Gridlock at the Crossroads

1994 ◽  
Vol 26 (1) ◽  
pp. 97-107 ◽  
Author(s):  
James L. Seale ◽  
Gary F. Fairchild
Keyword(s):  
International Trade ◽  
Natural Resources ◽  
World Economy ◽  
Uruguay Round ◽  
Task Force ◽  
Trade Agreements ◽  
Southern Region ◽  
Agricultural Commodities ◽  
Trade And The Environment ◽  
The World

In the 1980s, few agricultural economists, particularly from the Southern Region, published works on international trade or the globalization of the world economy. The initiation of the Uruguay Round of the General Agreement on Tariffs and Trade (GATT) in 1986 stimulated such writings as the Southern Agriculture in a World Economy series by the Southern Region Extension International Trade Task Force (Rosson et al.). An even smaller number of agricultural economists were writing on policy linkages between trade and the environment. An early effort to remedy this situation was the Workshop on Linkages between Natural Resources and International Trade in Agricultural Commodities (Sutton).

scholarly journals PERSEPSI MASYARAKAT DALAM UPAYA PENGENDALIAN KEBAKARAN HUTAN DI TAMAN NASIONAL GUNUNG CIREMAI Community Role to the Forest Fire Control in Mount Ciremai National Park

2017 ◽  
Vol 8 (2) ◽  
pp. 141-146
Author(s):  
Bambang Hero Saharjo ◽  
Guntala Wibisana
Keyword(s):  
National Parks ◽  
Forest Fire ◽  
Forest Fires ◽  
National Park ◽  
Human Factor ◽  
Negative Impact ◽  
Primary Data ◽  
Fire Control ◽  
Questionnaire Research

Forest fires cause losses and negative impact. Forest fire in mountain Ciremai national park caused by human factor. Efforts to control forest fires currently preferred by involving the community. This research is done using primary data and information obtained from filling the questionnaire. Research is taking samples from three villages namely Cibuntu village, Padabeunghar villages, and Kaduela village. Respondents were interviewed 90 respondents. Based on researches known that the area around the national park had high perception of Ciremai national existance. They argue that the mountain Ciremai national parks useful in life and the management of mountain Ciremai national parks better. Based on the scoring of 90 respondents 70 of them have a highperception of the forest fire control in mountain Ciremai national park, it means that most of people have participated in efforts to control forest fire.Key words: Forest fire,community role, forest fire control

scholarly journals Forest Fire in East Nusa Tenggara during 2015-2019: Comparison to Forest Fire in Kalimantan and Sumatera

2021 ◽  
Vol 893 (1) ◽  
pp. 012010
Author(s):  
Sumaryati ◽  
D F Andarini ◽  
N Cholianawati ◽  
A Indrawati
Keyword(s):  
Carbon Monoxide ◽  
Forest Fire ◽  
Forest Fires ◽  
Forest Biomass ◽  
Comparison Method ◽  
Atmospheric Environment ◽  
Annual Average ◽  
Statistical Comparison ◽  
Fire Area ◽  
Total Column

Abstract East Nusa Tenggara is one of the provinces in Indonesia that has big forest fires following some provinces in Kalimantan and Sumatra. However, forest fires in East Nusa Tenggara have less attention in forest fires discussion in Indonesia. This study aims to analyze forest fires in East Nusa Tenggara and their impact on reducing visibility and increasing carbon monoxide (CO) from 2015 to 2019. In this study, hotspot, forest fire area, Oceanic Niño Index, visibility, and CO total column data were used to analyze the forest fires using a statistical comparison method in East Nusa Tenggara, Kalimantan, and Sumatra. The result shows that the number of hotspots in East Nusa Tenggara less than in Kalimantan and Sumatra for the same forest fire area. The forest fires in East Nusa Tenggara do not harm the atmospheric environment significantly. East Nusa Tenggara dominantly consists of savanna areas with no peatland, hence, the forest biomass burning produces less smoke and CO. Furthermore, the forest fire in East Nusa Tenggara has not an impact on decreasing visibility and increasing CO total column, in contrast, visibility in Sumatra and Kalimantan has fallen to 6 km from the annual average, and CO total column rise three times of normal condition during peak fire.

Basing Airtankers for Forest Fire Control in Ontario

1996 ◽  
Vol 44 (5) ◽  
pp. 677-686 ◽  
Author(s):  
James I. MacLellan ◽  
David L. Martell
Keyword(s):  
Forest Fire ◽  
Fire Control
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