A watershed-based system for the integrated management of surface water quality: The GIBSI system
Identifieur interne : 001575 ( Main/Curation ); précédent : 001574; suivant : 001576A watershed-based system for the integrated management of surface water quality: The GIBSI system
Auteurs : Alain Mailhot [Canada] ; Alain N. Rousseau [Canada] ; Serge Massicotte [Canada] ; Jacques Dupont [Canada] ; Jean-Pierre Villeneuve [Canada]Source :
- Water Science and Technology [ 0273-1223 ] ; 1997.
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Abstract
This paper presents a general description and the state of progress of the GIBSI system, a watershed-based software system for integrated management of surface water quality. This spatial support-decision system is designed to assist decision makers as well as water resources professionals. An integrated structure composed of mathematical models, a Geographical Information System (GIs) and a DataBase Management System (DBMS) characterizes the system. This means interactions between users and system components are made through a single user-friendly interface. A simple scenario approach is used to examine the impact of alternative urban, industrial, and agricultural management practices on surface water quality. Interpretation of results is based on comparing different management scenarios with a reference state or other previously defined scenarios.
Url:
DOI: 10.1016/S0273-1223(97)00494-0
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<front><div type="abstract" xml:lang="en">This paper presents a general description and the state of progress of the GIBSI system, a watershed-based software system for integrated management of surface water quality. This spatial support-decision system is designed to assist decision makers as well as water resources professionals. An integrated structure composed of mathematical models, a Geographical Information System (GIs) and a DataBase Management System (DBMS) characterizes the system. This means interactions between users and system components are made through a single user-friendly interface. A simple scenario approach is used to examine the impact of alternative urban, industrial, and agricultural management practices on surface water quality. Interpretation of results is based on comparing different management scenarios with a reference state or other previously defined scenarios.</div>
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