Design of a Web Environmental Decision Support System

Autor: C. Giansante, G. Iacobellis, F. Parisi, G. Rotunno
Rok vydání: 2019
Předmět:
Zdroj: SMC
Popis: The large-scale management and monitoring of environment is a complex issue for administrators and public authorities responsible for the detection of emergencies. They need to rank all possible environment issues and then solve them. A Decision Support System can be used to simplify such operations, to perform better analysis and to provide more widespread coverage to data. This paper presents a Web Environmental Decision Support System designed to estimate environmental condition, which includes a Data Mining Module (DMM) that computes an Environmental Condition Index by processing historical and real time data and a Hazard Detection Module (HDM). The HDM comprises a mobile APP that allows users to report environmental events of emergency, hazards and waste, in order to help public authorities in managing and planning activities. The collected data are processed by the Web Environmental Decision Support System which assigns automatically an Environmental Emergency Index to every report. This approach allows monitoring of wide environmental areas letting communities be part of the “sensors system”.
Databáze: OpenAIRE