Ontology-Based Wastewater Best Management Practices Recommendation

2013 ◽  
Vol 664 ◽  
pp. 299-304
Author(s):  
Zhen Feng Wang ◽  
Xiao Juan Zhu
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Water Environment ◽  
Pollution Source ◽  
Management Decision ◽  
Cognitive Differences ◽  
Best Management ◽  
Building Process ◽  
Management Decision Making

Best Management Practices (BMPs) is a good way to control pollution source. Now many BMPs have been collected and stored in database. But they are not available directly by managers due to cognitive differences. In order to recommend suitable BMP to water environment managers for treating specific contaminated river, we model BMP knowledge with ontology. In the paper, we introduce ontology building process, and a wastewater BMP ontology is built and integrated into an environment management decision-making support system. In the end, a BMP recommendation case study is also presented.

Selecting a Pesticide Fate Model at the Watershed Scale Using a Multi-criteria Analysis

2006 ◽  
Vol 41 (3) ◽  
pp. 283-295 ◽  
Author(s):  
Renaud Quilbé ◽  
Alain N. Rousseau ◽  
Pierre Lafrance ◽  
Jacinthe Leclerc ◽  
Mohamed Amrani
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Ease Of Use ◽  
Watershed Scale ◽  
Water Quality Standards ◽  
Best Management ◽  
Multi Criteria Analysis ◽  
Selection Framework ◽  
Selection Of

Abstract Numerous models have been developed over the last decades to simulate the fate of pesticides at the watershed scale. Based on a literature review, we inventoried thirty-six models categorized as management, research, screening or multimedia models, each of them having specific strengths and weaknesses. Given this large number of models, it may be difficult for potential users (stakeholders or scientists) to find the most suited one with respect to their needs. To help in this process, this paper proposes a pragmatic approach based on a multi-criteria analysis. Selection criteria are defined following the user's needs and classified in five classes: modelling characteristics, output variables, model applicability, possibilities to simulate best management practices (BMPs) and ease of use. The relative importance of each criterion is quantified by a weight and the total score of a model is calculated by adding the resulting weights of satisfied criteria. This selection framework is illustrated with a case study that consists in selecting a model to develop water quality standards at the watershed scale with respect to the implementation of BMPs. This resulted in the selection of three models: BASINS, SWAT and GIBSI.

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