A GIS based component-oriented integrated system for estimation, visualization and analysis of road traffic air pollution

Rebolj, Danijel; Sturm, Peter-Johann

doi:10.1016/s1364-8152(99)00017-1

Cited by 55 publications

(20 citation statements)

References 3 publications

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“…The missing functions (air quality modelling, visualisation tools) can be complemented or shared through dynamic-link libraries. The integrated emission evaluation systems, which offer alternative ways of using the emission models together with selected functionality of GISs, are described by Rebolj (1999). A number of software applications are focused on the design of relational databases and their interconnection together with standard air quality modelling systems.…”

Section: Methods Of Integration Air Quality Models Into Gismentioning

confidence: 99%

Spatial modelling of air pollution in urban areas with GIS: a case study on integrated database development

Matějı́ček

2005

Adv. Geosci.

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Abstract.A wide range of data collected by monitoring systems and by mathematical and physical modelling can be managed in the frame of spatial models developed in GIS. In addition to data management and standard environmental analysis of air pollution, data from remote sensing (aerial and satellite images) can ehance all data sets. In spite of the fact that simulation of air pollutant distribution is carried out by standalone computer systems, the spatial database in the framework of the GIS is used to support decision-making processes in a more efficient way. Mostly, data are included in the map layers as attributes. Other map layers are carried out by the methods of spatial interpolation, raster algebra, and case oriented analysis. A series of extensions is built into the GIS to adapt its functionality. As examples, the spatial models of a flat urban area and a street canyon with extensive traffic polluted with NO x are constructed. Different scales of the spatial models require variable methods of construction, data management, and spatial data sources. The measurement of NO x and O 3 by an automatic monitoring system and data from the differential absorption LIDAR are used for investigation of air pollution. Spatial data contain digital maps of both areas, complemented by digital elevation models. Environmental analyses represent spatial interpolations of air pollution that are displayed in horizontal and vertical planes. Case oriented analyses are mostly focused on risk assessment methods. Finally, the LIDAR monitoring results and the results obtained by modelling and spatial analyses are discussed in the context of environmental management of the urban areas. The spatial models and their extensions are developed in the framework of the ESRI's ArcGIS and ArcView programming tools. Aerial and satellite images preprocessed by the ERDAS Imagine represent areas of Prague.

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Section: Methods Of Integration Air Quality Models Into Gismentioning

confidence: 99%

Spatial modelling of air pollution in urban areas with GIS: a case study on integrated database development

Matějı́ček

2005

Adv. Geosci.

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“…In recent years, GIS has been used actively and popularly in dynamic changes of resources and environment, forestry resource management, comprehensive assessment, planning-decision service. In summary, applied research of GIS in forestry are as following: forest resource information management, forest operating optimized decision, forest classified management division, forestry sample design, forestry thematic mapping, forest cutting plan, afforestation planning programming, forest protection, forest resource administration net GIS, precision forestry [7].…”

Section: Application Of Gis To Forestrymentioning

confidence: 99%

Application and Development at Home of Geographical Information System in Forestry Resource

Zeng¹,

Liao²

2016

Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

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Abstract. Geographic Information System (GIS) is a comprehensive spatial data processing technique, of which fundamental meaning, function, background and developing process are introduced in the paper. It is reviewed and emphasized that GIS has been applied to forestry industry fully and systematically in recent years as following: information management, operating optimized decision, classified management division, sample design, thematic mapping, cutting plan, afforestation planning programming, protection, resource administration net GIS, precision forestry. Also the further study and development are discussed finally

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“…Producing a buffer or service area around a feature is a basic command of a GIS (Basnyat et al, 2000, Sieber et al, 2009, which has been exercised by numerous researchers. Rebolj and Sturm (1999) generated a buffer to identify the population residing in a vicinity of a road that is affected by noise pollution above the recommended levels. Žalik et al (2003) presented a four steps algorithm for constructing the buffer of a given line segments, using a sweep-line approach.…”

Section: Introductionmentioning

confidence: 99%

Introducing an Agent-Based Object Recognition Operator for Proximity Analysis

Behzadi

Alesheikh

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Object selection is a basic procedure in a Geographic Information System (GIS). Most current methods for doing so, select objects in two phases: create a simple distance-bounded geometric buffer; and intersect it with available features. This paper introduces a novel and intelligent selection operator based on the autonomy of the agent-based approach. The proposed operator recognizes objects around one object only in one step. In the proposed approach, each point object acts as an agent-automata object. It then senses its vicinity and identifies the surrounding objects. To assess the proposed model, the operator is designed, implemented, and evaluated in a case study. Finally, the results are evaluated and presented in details in the paper.

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A GIS based component-oriented integrated system for estimation, visualization and analysis of road traffic air pollution

Cited by 55 publications

References 3 publications

Spatial modelling of air pollution in urban areas with GIS: a case study on integrated database development

Spatial modelling of air pollution in urban areas with GIS: a case study on integrated database development

Application and Development at Home of Geographical Information System in Forestry Resource

Introducing an Agent-Based Object Recognition Operator for Proximity Analysis

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