scholarly journals A Framework for Rapid Impact Assessment with special reference to wildfires

Author(s):  
Isak D. Jansen Van Vuuren

Geographical Information Systems (GIS) technology is a powerful tool that can support decision-making in all the facets of disaster risk management. Being at the centre of all disaster risk management functions, GIS activities such as data acquisition, processing, analysis and visualisation should be seamless from planning to prediction, preparation, response and recovery. A case study of devastating wildfires that destroyed thousands of hectares of agricultural land during August 2011 in the North-West province, South Africa, identifies the lack of a comprehensive framework within which information-based disaster impact assessments are undertaken and which is integrated with the larger context of disaster risk management. Problems relating to the availability, quality and integration of data are typical of the ad hoc approach to the implementation of information technologies, indicating the need for an integrated and coordinated approach. The aim of this paper is to establish a framework for rapid impact assessment, with specific reference to geospatial data management. The framework is put into the theoretical context of disaster risk management and information management, with data acquisition and processing functions being anchored in the principles of information systems theory.

2011 ◽  
Vol 30 (3) ◽  
pp. 13-18
Author(s):  
Piotr Dzieszko

Analogue aerial-photopraphs external orientation reconstruction based on geoportal data For acquisition of source data for geoinformation analyses is necessary to do some field works. This way of data acquisition is time-consuming. In this case, photogrammetric and remote sensed methods can be more effective choice. Especially orthophotomap extracting is more effective process in creation of geodata. It is good foundation for further analysis and nice extension of existing geographical information systems. Despite fast growth of photogrammetry there are plenty of analogue, archival airphotos which can be used for geoinformation analysis. They are quiet up to date and scanned in very high resolution which means they can be used for really reliable analysis. The problem is very important because many of analogue, archival air photos do not contain photogrammetric warp. The aim of this paper is expression of applicability of geoportal webpage, which is part of INSPIRE directive, that can be used for external orientation reconstruction when there is no other georeference data.


2021 ◽  
Vol 939 (1) ◽  
pp. 012027
Author(s):  
S Khodjaeva ◽  
M Musaev ◽  
Sh Akhmedov

Abstract In this current research, the combination of gas transportation system in line with analytical process was applied to conduct an assessment on the risk management of gas transferring pipe lines. By this process, classification and qualification of the numerous types of transportation risks would be accessible. Index and transportation index indicate risk probability and risk severity, respectively. In this regard, total risk is calculated based on the multiplication of all risk probability using geographical information systems (GIS) classified risks that have been throughout the pipeline route using attributive information. This information also gave database alternative monitoring of gas transportation.


2000 ◽  
Vol 02 (03) ◽  
pp. 415-448 ◽  
Author(s):  
AGUSTIN RODRIGUEZ-BACHILLER

This paper and another one preceding it investigate the potential of computer technologies like Geographical Information Systems (GIS) and Expert Systems (ES) to help with Impact Assessment (IA), suggesting that one way to optimise the effectiveness of GIS is to embed these systems in a more user-friendly environment. This paper explores the experience and potential of ES to provide such decision support environment, extending the argument further into the realm of Decision Support Systems (DSS). The proposition behind this paper is that these areas (IA, GIS, ES and maybe DSS) are potentially complementary and there can be mutual benefits if they are brought together. Certain tasks in IA — like screening, scoping, or statement review — already have potential for substantial automation, as an opportunity for technology transfer within organisations involved with IA, so that relatively scarce experts can be freed up for more difficult jobs while less expert staff are promoted to answer more sophisticated questions like these. More technical tasks like impact and environmental prediction also show scope for some degree of modelling-based automation, while other less routinised and more open-ended tasks involved with the management of the whole IA process probably lend themselves better to automation of a different kind, which works more as an "aid" than a substitute for the expert, for which the more flexible DSS seem more appropriate.


2000 ◽  
Vol 02 (03) ◽  
pp. 369-414 ◽  
Author(s):  
AGUSTIN RODRIGUEZ-BACHILLER

Impact Assessment (AI) is getting over its "teething problems" of the early 1990s, and is now trying to define, consolidate and spread best practice. It has been suggested that computer technologies like Geographical Information Systems (GIS) and/or decision-support tools like Expert Systems (ES) can play an important part in this process, and in a series of two articles we critically review these technologies, their use and their potential — and drawbacks — for IA. This first article is devoted to GIS, powerful packages that can handle spatial information quite efficiently in map form, but whose analytical capabilities are rather limited and would benefit from being articulated with other tools to make their use more friendly and efficient. The proposition underlying these articles is that these three areas (IA, GIS and ES), if properly organised, are potentially complementary and there can be mutual benefits if they are brought together. We concentrate on GIS first, ES will be discussed in the next paper.


2014 ◽  
Author(s):  
Bárbara Montoro ◽  
Pedro Ferradas ◽  
Miguel Muñoz ◽  
Douglas Azabache ◽  
Orlando Chuquisengo ◽  
...  

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