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Application of information technologies to water monitoring: Features and sectoral trends

Abstract

Social attention to water pollution is increasing. Because of the complexity of the natural, institutional, technological and economical aspects involved, an efficient policy for prevention and intervention needs to consider many variables. A good knowledge of the environmental situation and evolution is the basis for any action by both public and private acting agencies. Water monitoring allows the collection and elaboration of information through a process which goes from raw environmental data to public decisions. Monitoring can also present business opportunities for firms. The large Italian and multinational companies are entering the market and making agreements with small engineering firms with strong technological capabilities. In particular, the elaboration and automation of monitoring procedures represent important tendencies towards the improvement of environmental services. The institutional framework is very relevant in the definition of public and private choices, links and opportunities. A systematic approach to water monitoring can provide a better support to public decision makers.
Authors:
Croci, E; Pesaro, G [1] 
  1. Bocconi Univ., Milan (Italy). Ist. di Economia delle Fonti di Energia
Publication Date:
Apr 01, 1991
Product Type:
Journal Article
Reference Number:
ITA-91-000564; EDB-92-023945
Resource Relation:
Journal Name: Economia delle Fonti di Energia; (Italy); Journal Volume: 34:43
Subject:
54 ENVIRONMENTAL SCIENCES; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 29 ENERGY PLANNING, POLICY AND ECONOMY; ENVIRONMENT; DATA ACQUISITION SYSTEMS; INFORMATION SYSTEMS; WATER POLLUTION MONITORS; WATER POLLUTION; AUTOMATION; DATA BASE MANAGEMENT; DECISION MAKING; MARKETING; MONITORING; PROGRAM MANAGEMENT; SOCIO-ECONOMIC FACTORS; TECHNOLOGY UTILIZATION; WATER; HYDROGEN COMPOUNDS; INSTITUTIONAL FACTORS; MANAGEMENT; MEASURING INSTRUMENTS; MONITORS; OXYGEN COMPOUNDS; POLLUTION; 540320* - Environment, Aquatic- Chemicals Monitoring & Transport- (1990-); 990301 - Information Handling- Data Handling- (1992-); 290300 - Energy Planning & Policy- Environment, Health, & Safety
OSTI ID:
6062628
Country of Origin:
Italy
Language:
Italian
Other Identifying Numbers:
Journal ID: ISSN 0391-6340; CODEN: EFENE
Submitting Site:
ITA
Size:
Pages: 103-130
Announcement Date:
Feb 15, 1992

Citation Formats

Croci, E, and Pesaro, G. Application of information technologies to water monitoring: Features and sectoral trends. Italy: N. p., 1991. Web.
Croci, E, & Pesaro, G. Application of information technologies to water monitoring: Features and sectoral trends. Italy.
Croci, E, and Pesaro, G. 1991. "Application of information technologies to water monitoring: Features and sectoral trends." Italy.
@misc{etde_6062628,
title = {Application of information technologies to water monitoring: Features and sectoral trends}
author = {Croci, E, and Pesaro, G}
abstractNote = {Social attention to water pollution is increasing. Because of the complexity of the natural, institutional, technological and economical aspects involved, an efficient policy for prevention and intervention needs to consider many variables. A good knowledge of the environmental situation and evolution is the basis for any action by both public and private acting agencies. Water monitoring allows the collection and elaboration of information through a process which goes from raw environmental data to public decisions. Monitoring can also present business opportunities for firms. The large Italian and multinational companies are entering the market and making agreements with small engineering firms with strong technological capabilities. In particular, the elaboration and automation of monitoring procedures represent important tendencies towards the improvement of environmental services. The institutional framework is very relevant in the definition of public and private choices, links and opportunities. A systematic approach to water monitoring can provide a better support to public decision makers.}
journal = []
volume = {34:43}
journal type = {AC}
place = {Italy}
year = {1991}
month = {Apr}
}