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Decision support for diffuse pollution management

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dc.contributor.author Panagopoulos, Y en
dc.contributor.author Makropoulos, C en
dc.contributor.author Mimikou, M en
dc.date.accessioned 2014-03-01T02:08:35Z
dc.date.available 2014-03-01T02:08:35Z
dc.date.issued 2012 en
dc.identifier.issn 13648152 en
dc.identifier.uri http://hdl.handle.net/123456789/29681
dc.subject Decision support en
dc.subject Diffuse pollution en
dc.subject Genetic algorithms en
dc.subject Multi-objective optimisation en
dc.subject SWAT en
dc.subject Trade-off en
dc.subject.other Agricultural land en
dc.subject.other Annual cost en
dc.subject.other Application management en
dc.subject.other Best management practices en
dc.subject.other Catchment scale en
dc.subject.other Decision support tools en
dc.subject.other Decision supports en
dc.subject.other Diffuse pollution en
dc.subject.other Economic functions en
dc.subject.other Environmental legislations en
dc.subject.other Environmental objectives en
dc.subject.other Environmental targets en
dc.subject.other Hydrologic response units en
dc.subject.other Non-point source pollution en
dc.subject.other Optimal combination en
dc.subject.other Optimal locations en
dc.subject.other Optimisations en
dc.subject.other Soil and Water assessment tools en
dc.subject.other SWAT en
dc.subject.other Total phosphorus en
dc.subject.other Trade-off en
dc.subject.other Trade-off curves en
dc.subject.other Catchments en
dc.subject.other Commerce en
dc.subject.other Costs en
dc.subject.other Crops en
dc.subject.other Decision support systems en
dc.subject.other Economic and social effects en
dc.subject.other Genetic algorithms en
dc.subject.other Geologic models en
dc.subject.other Location en
dc.subject.other Multiobjective optimization en
dc.subject.other Phosphorus en
dc.subject.other Pollution en
dc.subject.other Runoff en
dc.subject.other Decision making en
dc.subject.other alfalfa en
dc.subject.other best management practice en
dc.subject.other catchment en
dc.subject.other database en
dc.subject.other decision support system en
dc.subject.other empirical analysis en
dc.subject.other environmental legislation en
dc.subject.other genetic algorithm en
dc.subject.other maize en
dc.subject.other nonpoint source pollution en
dc.subject.other optimization en
dc.subject.other pasture en
dc.subject.other surface water en
dc.subject.other trade-off en
dc.subject.other water pollution en
dc.subject.other Greece en
dc.subject.other Medicago sativa en
dc.subject.other Zea mays en
dc.title Decision support for diffuse pollution management en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.envsoft.2011.11.006 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.envsoft.2011.11.006 en
heal.publicationDate 2012 en
heal.abstract The effort to manage diffuse pollution at the catchment scale is an ongoing challenge that needs to take into account trade-offs between environmental and economic objectives. Best Management Practices (BMPs) are gaining ground as a means to address the problem, but their application (and impact) is highly dependant on the characteristics of the crops and of the land in which they are to be applied. In this paper, we demonstrate a new methodology and associated decision support tool that suggests the optimal location for placing BMPs to minimise diffuse surface water pollution at the catchment scale, by determining the trade-off among economic and multiple environmental objectives. The decision support tool consists of a non-point source (NPS) pollution estimator, the SWAT (Soil and Water Assessment Tool) model, a genetic algorithm (GA), which serves as the optimisation engine for the selection and placement of BMPs across the agricultural land of the catchment, and of an empirical economic function for the estimation of the mean annual cost of BMP implementation. In the proposed decision support tool, SWAT was run a number of times equal to the number of tested BMPs, to predict nitrates nitrogen (N-NO3) and total phosphorus (TP) losses from all the agricultural Hydrologic Response Units (HRUs) and possible BMPs implemented on them. The results were then saved in a database which was subsequently used for the optimisation process. Fifty different BMPs, including sole or combined changes in livestock, crop, soiland nutrient application management in alfalfa, corn and pastureland fields, were evaluated in the reported application of the tool in a catchment in Greece, by solving a three-objective optimisation process (cost, TP and N-NO3). The relevant two-dimensional trade-off curves of cost-TP, cost-N-NO3 and N-NO3-TP are presented and discussed. The strictest environmental target, expressed as a 45% reduction of TP at the catchment outlet, which also resulted in a 25% reduction of the annual N-NO3 yield was met at an affordable annual cost of 25 €/person by establishing an optimal combination of BMPs. The methodology could be used to assist in a more cost-effective implementation of environmental legislation. © 2011 Elsevier Ltd. en
heal.journalName Environmental Modelling and Software en
dc.identifier.doi 10.1016/j.envsoft.2011.11.006 en
dc.identifier.volume 30 en
dc.identifier.spage 57 en
dc.identifier.epage 70 en


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