Search

Atmospheric emission inventories are useful tools to support informed decision making in air quality management. In the framework of Apulia Region emission inventory, a tool for the industrial atmospheric emission management called Territorial Emissions Cadastre (CET) was developed. CET is a Web-based system able to store all data related to the industrial plants and to perform spatial queries; its components are used for synchronizing, exporting and querying the underlined database. CET also enables access to information that is useful to support air quality monitoring experts in their decision-making process. An innovative feature of CET is CETGE. It allows the users to visualize the industrial plants and the associated emissions in Google Earth® which provides an effective tool to display the most relevant industrial emission sources on a Regional area view. CETGE can be used by the stakeholders to evaluate and present alternative solutions for areas characterized by high impact emission sources. [ABSTRACT FROM AUTHOR]

Emission inventories are useful tools in air quality management policies. In the framework of Apulia Region (South of Italy) inventory, the Territorial Emission Cadastre (CET) was developed. CET stores the huge amount of data concerning industrial plants. In order to easily interact with input data and analyze them, a graphical user interface that includes a GIS (Geographical Information System) component was integrated (CETGIS). This paper focuses on the development of CETGIS and analysis possibilities provided by GIS technology, which allow decision makers to monitor the state of air quality and to evaluate the targets to be achieved. [ABSTRACT FROM AUTHOR]

In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usable form. This process of 'data wrangling' often constitutes the most tedious and time-consuming aspect of analysis. Though data cleaning and integration arelongstanding issues in the database community, relatively little research has explored how interactive visualization can advance the state of the art. In this article, we review the challenges and opportunities associated with addressing data quality issues. We argue that analysts might more effectively wrangle data through new interactive systems that integrate data verification, transformation, and visualization. We identify a number of outstanding research questions, including how appropriate visual encodings can facilitate apprehension of missing data, discrepant values, and uncertainty; how interactive visualizations might facilitate data transform specification; and how recorded provenance and social interaction might enable wider reuse, verification, and modification of data transformations. [ABSTRACT FROM AUTHOR]