NDLI: Architecture design of an early warning monitoring system for chemical water bodies contamination

Content Provider	IEEE Xplore Digital Library
Author	Manfredonia, I. Stallo, C. Ruggieri, M. Buonasera, K. Pezzotti, G.
Copyright Year	2014
Description	Author affiliation: Inst. of Crystallogr., Monterotondo Scalo, Italy (Buonasera, K.; Pezzotti, G.) \|\| CTIF, Univ. of Tor VergataCTIF, Rome, Italy (Manfredonia, I.; Stallo, C.; Ruggieri, M.)
Abstract	Monitoring of critical phenomena such as water pollution represents one of the most relevant issues that Europeans are worried about. Recent smart integrated systems/tools to support capabilities for “early warning” and collaborative decision making on natural disasters, can successfully be applied to this scope integrating brilliant hi-tech solutions like advanced satellite platforms, swarm intelligence based on useful devices for the fast, simple, cheap and reliable screening of many real samples like biosensors and data mining. This paper describes the architecture and design of a potential cost effective solution to overcome the limits encountered by some important end-users (e.g. the Institute for Environmental Protection and Research ISPRA, the Regional Agency for Environmental Protection ARPA) in the prompt detection and in the effective dissemination of the pre/post occurrence information to the competence centers, and from these to the in field professionals.
Starting Page	1
Ending Page	4
File Size	856360
Page Count	4
File Format	PDF
ISBN	9781479946266
e-ISBN	9781479946242
DOI	10.1109/VITAE.2014.6934484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-11
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biosensor COSMO-SKyMed Water pollution Software Pollution measurement Swarm Network Biosensors Monitoring Contamination Early Warning
Content Type	Text
Resource Type	Article

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