Advances in 3D visualization of air quality data

José, Roberto San; Pérez, J. L.; Gonzalez, Richard

doi:10.1051/3u3d/201202002

Cited by 12 publications

(2 citation statements)

References 13 publications

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“…Remote sensing, using satellite imagery and aerial photography, monitors air quality from space, analyzing data in GIS to map pollutant concentrations over large areas. GIS tools create 3D visualizations of air pollution data, such as pollutant plumes or dispersion patterns, enhancing understanding of pollutant spatial distribution [70][71][72][73][74][75][76][77][78]. These techniques are crucial for understanding air pollution spatial patterns, assessing its impact, and developing effective air quality management strategies.…”

Section: Gis Applications In Air Pollution Mitigationmentioning

confidence: 99%

Remote Sensing and GIS in Air Pollution Mitigation: A Bibliometric Review of Chhattisgarh, India

Tikader,

Mukhopadhyay,

Dabhadker

2024

IJECC

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Remote sensing and GIS serve as indispensable tools in the ongoing battle against air pollution and in the quest to improve air quality. These technologies, including satellite imagery and aerial mapping, provide a wealth of data pertaining to atmospheric conditions and the presence of pollutants. Through the integration of this data within Geographic Information Systems (GIS) software, researchers and policymakers gain valuable insights into the distribution and concentration of pollutants such as sulphur dioxide, nitrogen oxides, and particulate matter, all of which have significant implications for human health and the environment. The utilization of remote sensing allows for the monitoring of pollutant movement over large geographical areas, enabling the identification of pollution sources and the assessment of their impact on surrounding regions. GIS, on the other hand, facilitates the visualization of this data through the creation of maps and spatial analyses, offering a comprehensive understanding of air pollution patterns and their correlations with demographic characteristics and land use practices. By leveraging these technologies, decision-makers can pinpoint areas with heightened pollution levels, such as urban centers or regions with extensive industrial activity. Armed with this information, targeted mitigation strategies can be devised and implemented to alleviate pollution burdens and safeguard public health. Furthermore, the integrated approach provided by remote sensing and GIS enables the monitoring of the effectiveness of these strategies over time, allowing for adjustments and refinements as needed. In the context of Chhattisgarh, India, where air pollution poses a significant challenge, the application of remote sensing and GIS holds particular promise. By highlighting the advancements and innovations in these fields within the state, we aim to underscore the potential for informed decision-making and proactive measures to combat air pollution and enhance air quality for the benefit of all residents. In this review paper we aim to highlight the advancements in this field that has occurred in controlling air pollution in the state of Chhattisgarh, India.

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Section: Gis Applications In Air Pollution Mitigationmentioning

confidence: 99%

Remote Sensing and GIS in Air Pollution Mitigation: A Bibliometric Review of Chhattisgarh, India

Tikader,

Mukhopadhyay,

Dabhadker

2024

IJECC

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“…A central challenge for implementing visualization as a communication tool in urban planning is visual representation [10]. To facilitate communication with the public, information must be presented in an engaging easy-to-understand manner [11,12]. Traditionally, 2D-maps are used to analyze and communicate environmental impacts from e.g., noise or air pollution.…”

Section: Introductionmentioning

confidence: 99%

Visualizing Invisible Environmental Data in VR: Development and Implementation of Design Concepts for Communicating Urban Air Quality in a Virtual City Model

Larsson

Wästberg

Sjölie

et al. 2023

Communications in Computer and Information Science

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As cities continue to grow, the desire to combine densification with sustainability and greenery may present a challenge to air quality, resulting from reduced ventilation caused by dense buildings and vegetation. To support the careful urban planning required, effective and interactive tools that can visualize and communicate information about air quality to stakeholders are essential. In a transdisciplinary research project aiming to explore such visualizations a prototype pedagogical virtual reality tool was developed, allowing users to explore the impact of aspects of the built environment upon urban air quality. The tool was evaluated with adolescents in upper secondary school through interviews and observations, as well as with the general public through a questionnaire study. This paper provides insights, potential solutions, and initial assessments relevant to data visualization in 3D and immersive analytics in urban planning and stakeholder communication. Identified challenges include difficulties with color association and data distinguishability, and as well as tool complexity relating to the many features requested by experts involved in a transdisciplinary project.

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A Repository of Information Visualization Techniques to Support the Design of 3D Virtual City Models

Métral

Ghoula

Silva

et al. 2014

Lecture Notes in Geoinformation and Cartography

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KEY WORDS: 3D visualization, information visualization, 3D city model, 3D virtual environment, 3D GIS, knowledge base ABSTRACT:Virtual 3D city models are used for different applications such as urban planning, navigation, pedestrian behaviour, historical information, and disaster management. These applications require rich information models that associate urban objects not only with their geometric properties but also with other types of information. When designing such models the choice of visualization techniques is far from trivial because the city objects must be displayed together with additional information, such as historical facts, planning projects, pollutant concentration, noise level, etc. Finding relevant techniques depends on a set of criteria such as the type of information, but also on the tasks that will be performed and the associated context. Furthermore, a technique that is relevant when used in isolation may generate visual incompatibilities when used in conjunction with another one. We have defined a model for the representation of information visualization techniques in 3D city models. We have implemented this model in the form of an ontology and a knowledge base of techniques currently used in 3D city models or 3D GIS. The goal of such an approach is to provide a knowledge repository to support the design of 3D virtual city models in which non-geometric information must be presented. In this paper we describe the model and the ontology of information visualization techniques that we designed. We also show how the associated knowledge base can be used for the selection of visualization techniques depending on different criteria including task and context, and for the detection of visual incompatibilities between techniques when used in the same scene.

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Advances in 3D visualization of air quality data

Cited by 12 publications

References 13 publications

Remote Sensing and GIS in Air Pollution Mitigation: A Bibliometric Review of Chhattisgarh, India

Remote Sensing and GIS in Air Pollution Mitigation: A Bibliometric Review of Chhattisgarh, India

Visualizing Invisible Environmental Data in VR: Development and Implementation of Design Concepts for Communicating Urban Air Quality in a Virtual City Model

A Repository of Information Visualization Techniques to Support the Design of 3D Virtual City Models

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