Prediction of Areas Prone to Lightning Ignition

1992 ◽  
Vol 2 (3) ◽  
pp. 123 ◽  
Author(s):  
RHD McRae
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Environmental Factors ◽  
Large Scale ◽  
Fire Management ◽  
Fire Hazard ◽  
Assessment Procedure ◽  
Historic Records ◽  
In Fire ◽  
Meso Scale

A method for handling lightning-caused ignitions as part of a comprehensive fire hazard assessment procedure is presented. The locations at which lightning ignitions tend to occur have always been difficult to predict, and do not correlate with usual environmental factors. The model described here uses geographic information system techniques to remove large-scale trends in elevation. The meso-scale residual can be used to predict sites that are prone to lightning ignitions. The model is compared to historic records of lightning ignitions for the ACT, and is found to work very well. A range of other uses for the technique in fire management are discussed.

Fire modeling and information system technology

2001 ◽  
Vol 10 (4) ◽  
pp. 343 ◽  
Author(s):  
Patricia L. Andrews ◽  
LLoyd P. Queen
Keyword(s):  
Information System ◽  
Information Systems ◽  
Fire Management ◽  
Fire Modeling ◽  
System Technology ◽  
Gis And Remote Sensing ◽  
Fire Models ◽  
Spread Model ◽  
Information System Technology ◽  
In Fire

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 Fire modeling and information system technology play an important supporting role in fuel and fire management. Modeling is used to examine alternative fuel treatment options, project potential ecosystem changes, and assess risk to life and property. Models are also used to develop fire prescriptions, conduct prescribed fire operations, and predict fire behavior. Fire models and information systems have greatly influenced fuel assessment methods. As an example, we examine the evolution of technology used to put Rothermel’s fire spread model into application. A review of fire and fuel modeling terminology is given, and the relationship between fire models and fuel models is explained. We review current fire modeling work and the influence that it will have on fuel characterization. Finally, we discuss opportunities and challenges involved in the use of advanced computers, the Internet, Geographic Information Systems (GIS), and remote sensing in fire and fuel management.

Changing fuel management strategies - The challenge of meeting new information and analysis needs

2001 ◽  
Vol 10 (4) ◽  
pp. 267 ◽  
Author(s):  
Susan G. Conard ◽  
Timothy Hartzell ◽  
Michael W. Hilbruner ◽  
G. Thomas Zimmerman
Keyword(s):  
Fire Management ◽  
Wildland Fire ◽  
Fire Suppression ◽  
Fire Hazard ◽  
Management Strategies ◽  
Scientific Basis ◽  
Fuel Management ◽  
Burned Areas ◽  
Ecological Principles ◽  
In Fire

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 ‘The earth, born in fire, baptized by lightning since before life"s beginning, has been and is a fire planet.’ E.V. Komarek Attitudes and policies concerning wildland fire, fire use, and fire management have changed greatly since early European settlers arrived in North America. Active suppression of wildfires accelerated early in the 20th Century, and areas burned dropped dramatically. In recent years, burned areas and cost of fires have begun to increase, in part due to fuel buildups resulting from fire suppression. The importance of fire as an ecosystem process is also being increasingly recognized. These factors are leading to changes in Federal agency fire and fuels management policies, including increased emphasis on use of prescribed fire and other treatments to reduce fuel loads and fire hazard. Changing fire management strategies have highlighted the need for better information and improved risk analysis techniques for setting regional and national priorities, and for monitoring and evaluating the ecological, economic, and social effects and tradeoffs of fuel management treatments and wildfires. The US Department of Interior and USDA Forest Service began the Joint Fire Science Program in 1998 to provide a sound scientific basis for implementing and evaluating fuel management activities. Development of remote sensing and GIS tools will play a key role in enabling land managers to evaluate hazards, monitor changes, and reduce risks to the environment and the public from wildland fires.

scholarly journals BUILDING INFORMATION MODELING (BIM) AND GEOGRAPHIC INFORMATION SYSTEM (GIS) DATA COMPATIBILITY FOR CONSTRUCTION PROJECT

2021 ◽  
Vol 6 (24) ◽  
pp. 278-289
Author(s):  
Wan Nor Fa’aizah Wan Abdul Basir ◽  
Uznir Ujang ◽  
Zulkepli Majid
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Exchange ◽  
Large Scale ◽  
Building Information Modeling ◽  
Construction Project ◽  
Geographic Information ◽  
Information Modeling ◽  
Gis Data ◽  
Building Information

Building Information Modeling (BIM) is a technology that focusing on the building element properties to the construction components which cover the interior and exterior building, while Geographic Information System (GIS) describe to the technology that can provide the large-scale information which cover inside and outside buildings (spaces and areas). In construction project application, BIM technology already been used as a worldwide tool while GIS rarely been applied. Each technology contains their own advantages that can be utilized in the construction project application. To bring the best effective approach in construction project, the integration between BIM and GIS technology can be considered. This paper presented an attempt in integrating BIM and GIS by using FME as a data integration platform to solve the limitation of BIM in construction project by using advantages of GIS. Through this research, an investigation of the data exchange during integration process between BIM and GIS will be look up. By using this approach, it is possible to store the BIM and GIS data in one environment. The end results for this paper will cover the method of the data exchange between BIM to GIS and GIS to BIM. Besides that, this paper highlight how GIS can solve the limitation in BIM in construction project.

scholarly journals Valutazione del rischio di incendi boschivi a livello locale: una proposta metodologica | Fire risk assessment on a local scale: a methodological approach

2005 ◽  
Vol 156 (9) ◽  
pp. 331-337
Author(s):  
Marco Conedera ◽  
Patrick Roth ◽  
Gabriele Corti ◽  
Daniele Ryser
Keyword(s):  
Fire Management ◽  
Landscape Planning ◽  
Fire Suppression ◽  
Fire Hazard ◽  
Methodological Approach ◽  
Fire Risk ◽  
Fire Control ◽  
Fire Risk Analysis ◽  
Planning Processes ◽  
In Fire

Fire-services are often unable to obtain a rapid overview of problems connected with wildfire fighting. In the last few decades the ideology for fire fighting has shifted from fire control(basically fire suppression) to fire management (including prevention,planning, and simulating). As a result, fire management is now included in landscape planning processes. The preliminary step in fire management is fire risk analysis, which takes into account fire hazard (probability and expected severity of a fire) and the outcome (total impact on the affected environment). In this contribution we present an approach for assessing fire risk on local levels in southern Switzerland.

Efficiencies and Benefits Gained by Small Pipeline Companies From the Implementation of Cost-Effective GIS Technology

2002 ◽  
Author(s):  
Brent A. Jones
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Large Scale ◽  
Cost Effective ◽  
Geographic Information ◽  
Data Sets ◽  
Gis Technology ◽  
Energy Company ◽  
The Cost ◽  
Gis System

Many smaller pipeline operating companies see the benefits of implementing a Geographic Information System (GIS) to organize pipeline data and meet the requirements of 49 CFR 195, but cannot justify the cost of a large-scale AM/FM/GIS system. PPL Interstate Energy Company (PPL IE) is a pipeline company with 84 miles of main that implemented a GIS solution that leverages both existing technology and facility data investments. This paper discusses the process used to acquire landbase data, to organize existing pipeline data from a variety of paper-based and digital sources, and to integrate these data sets. It will also discuss the functionality and benefits of the resultant GIS.

scholarly journals Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 60
Author(s):  
Qais Al-Madhlom ◽  
Nadhir Al-Ansari ◽  
Bashar Abid Hamza ◽  
Jan Laue ◽  
Hussain Musa Hussain
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Large Scale ◽  
Geographic Information ◽  
Effective Porosity ◽  
Important Criterion ◽  
Seepage Velocity ◽  
The West ◽  
Gis Software ◽  
Saturated Thickness

Seepage velocity is a very important criterion in infrastructure construction. The planning of numerous large infrastructure projects requires the mapping of seepage velocity at a large scale. To date, however, no reliable approach exists to determine seepage velocity at such a scale. This paper presents a tool within ArcMap/Geographic Information System (GIS) software that can be used to map the seepage velocity at a large scale. The resultant maps include both direction and magnitude mapping of the seepage velocity. To verify the GIS tool, this study considered two types of aquifer conditions in two regions in Iraq: silty clayey (Babylon province) and sandy (Dibdibba in Karbala province). The results indicate that, for Babylon province, the groundwater flows from the northwest to southeast with a seepage velocity no more than 0.19 m/d; for the Dibdibba region, the groundwater flows from the west to the east with a seepage velocity not exceeding 0.27 m/d. The effectiveness of the presented tool in depicting the seepage velocity was thus demonstrated. The accuracy of the resultant maps depends on the resolution of the four essential maps (groundwater elevation head, effective porosity, saturated thickness, and transmissivity) and locations of wells that are used to collect the data.

scholarly journals Archaeоlogical Map of Bulgaria – Transport and Pipeline Infrastructure Projects

2019 ◽  
Author(s):  
Nadezhda Kecheva
Keyword(s):  
European Union ◽  
Information System ◽  
Geographic Information System ◽  
Scale Development ◽  
Large Scale ◽  
Geographic Information ◽  
The European Union ◽  
Price List ◽  
Archaeological Data

When the European Union began to finance transport and pipeline infrastructure constructions in Bulgaria, large-scale development-led archaeological projects emerged. After 2011, many 'polluter pays' projects were executed with the outlined workflow containing preliminary reports and fieldwork activities in accordance with Bulgarian legislation and a defined price list. As part of the process the national 'sites and monuments' archaeological information system 'Archaeological Map of Bulgaria' (AIS AKB) plays an important part as a source of archaeological data for the territory of Bulgaria. This centralised structure controls the quality of the archaeological fieldwork and data standardisation. The aim is to transform the 'sites and monuments' information system to an archaeological geographic information system (GIS) based on geospatial features, largely using an accumulation of standardised data.

Using Geographic Information System to Infollow the Fertilizers Pollution Migration

2010 ◽  
pp. 456-477
Author(s):  
Gehan A.H. Sallam ◽  
Tahani Youssef ◽  
Mohamed El-Sayed Embaby ◽  
Fatma Shaltot
Keyword(s):  
Information System ◽  
Statistical Analysis ◽  
Geographic Information System ◽  
Spatial Data ◽  
Water Reuse ◽  
Large Scale ◽  
Drainage Water ◽  
Geographic Information ◽  
Water Demands ◽  
Drainage Water Reuse

In recent years, many countries have faced great challenges due to their limited water resources. According to these challenges, they have undertaken large scale projects to reuse agricultural drainage water in irrigation purpose. The Governments in these countries can enhance water management and sustainable development by adopting policies that enable them to meet water demands and supply management. Therefore, there is a need for unconventional methods to provide better tools for the assessment and management of water quality problems to adopt management policies and set the limits for sustainable drainage water reuse. The implementation of Geographic Information System (GIS) in this field offers an ideal tool for measurements with limited number of sampled points. Statistical analysis that can be provided within GIS is rapidly becoming an impressive tool for statistical analysis of continuous data. The main objective of this chapter is to discuss using GIS to in-follow the pollution caused by fertilizers migration to the water and the soil by applying statistical analysis within the GIS using geostatistical analyst. Geostatistical analyst is an extension of Arc Map™ that bridges the gap between geostatistics and GIS and provides a powerful collection of tools for the management and visualization of spatial data by applying Spatial Statistics.

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