A decision support system to assist the sustainable management of navigation activities in the St. Lawrence River Estuary, Canada

2011 ◽  
Vol 26 (12) ◽  
pp. 1403-1418 ◽  
Author(s):  
L. Parrott ◽  
C. Chion ◽  
C.C.A. Martins ◽  
P. Lamontagne ◽  
S. Turgeon ◽  
...  
Author(s):  
Vera Van Lancker ◽  
Frederic Francken ◽  
Lars Kint ◽  
Nathan Terseleer ◽  
Dries Van den Eynde ◽  
...  

For sustainable management of marine geological resources, a geological knowledge base is being built for the Belgian and southern Netherlands part of the North Sea. Voxel models of the subsurface are used for predictions on sand and gravel quantities and qualities, to ensure long-term resource use. The voxels are filled with geological data from boreholes and seismic lines, but other information can be added also. The geology provides boundary conditions needed to run environmental impact models that calculate resource depletion and regeneration under various scenarios of aggregate extraction. Such analyses are important in monitoring progress towards good environmental status, as outlined in the Marine Strategy Framework Directive. By including uncertainty, data products can be generated with confidence limits, which is critical for assessing the significance of changes in the habitat or in any other resource-relevant parameter. All of the information is integrated into a cross-domain, multi-criteria decision support system optimised for user-friendliness and online visualisation.


2005 ◽  
Vol 52 (12) ◽  
pp. 189-198 ◽  
Author(s):  
D. DeSilva ◽  
S. Burn ◽  
G. Tjandraatmadja ◽  
M. Moglia ◽  
P. Davis ◽  
...  

Wastewater pipeline leakage is an emerging concern in Europe, especially with regards to the potential effect of leaking effluent on groundwater contamination and the effects infiltration has on the management of sewer reticulation systems. This paper describes efforts by Australia, in association with several European partners, towards the development of decision support tools to prioritize proactive rehabilitation of wastewater pipe networks to account for leakage. In the fundamental models for the decision support system, leakage is viewed as a function of pipeline system deterioration. The models rely on soil type identification across the service area to determine the aggressiveness of the pipe environment and for division of the area into zones based on pipe properties and operational conditions. By understanding the interaction between pipe materials, operating conditions, and the pipe environment in the mechanisms leading to pipe deterioration, the models allow the prediction of leakage rates in different zones across a network. The decision support system utilizes these models to predict the condition of pipes in individual zones, and to optimize the utilization of rehabilitation resources by targeting the areas with the highest leakage rates.


2002 ◽  
Vol 27 (4) ◽  
pp. 532-541 ◽  
Author(s):  
Yasin Al-Zu' bi ◽  
Muhammad Shatanawi ◽  
Odeh Al-Jayoussi ◽  
Atef Al-Kharabsheh

2002 ◽  
Vol 46 (6-7) ◽  
pp. 131-139 ◽  
Author(s):  
Y.-C. Chang ◽  
N.-B. Chang

The effects of urbanization on the aquatic environment, and solutions to the deterioration of water quality and stream ecology in the Love River have long been the main focus of environmental management in southern Taiwan. Apart from choosing the regular strategies of installing an intercept and sewer system, coastal wastewater treatment plant, and ocean outfall pipe, a new opportunity for improving the overall managerial efficiency is to design and implement a web-based Decision Support System (DSS). This DSS must be capable of managing storm water impacts when overflow is inevitable, river water quality variations leading to influences on the ecosystem, and changing land use programs along river corridors and adjacent urban areas simultaneously. This paper presents a new design framework for building such a DSS. By using the advanced information technology in the “Internet” environment, the proposed DSS may perform normal queries and statistical analyses in a web-enabled database, spatial analysis via the use of a Geographic Information System (GIS) in the Internet environment, and essential data warehousing/data mining. Possible linkage with various analytical models is anticipated. Such a DSS must be helpful for achieving the rehabilitation of the estuarine ecosystem and satisfying the goals for sustainable management in a regional sense.


2004 ◽  
Vol 96 (1-3) ◽  
pp. 85-98 ◽  
Author(s):  
B. Manos ◽  
Th. Bournaris ◽  
N. Silleos ◽  
V. Antonopoulos ◽  
J. Papathanasiou

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