From eutrophic to mesotrophic: Modelling watershed management scenarios to change the trophic status of a reservoir

Marcos Mateus, Carina Almeida, David Brito, Ramiro Neves

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Management decisions related with water quality in lakes and reservoirs require a combined land-water processes study approach. This study reports on an integrated watershed-reservoir modeling methodology: the Soil and Water Assessment Tool (SWAT) model to estimate the nutrient input loads from the watershed, used afterwards as boundary conditions to the reservoir model, CE-QUAL-W2. The integrated modeling system was applied to the Torrão reservoir and drainage basin. The objective of the study was to quantify the total maximum input load that allows the reservoir to be classified as mesotrophic. Torrão reservoir is located in the Tâmega River, one of the most important tributaries of the Douro River in Portugal. The watershed is characterized by a variety of land uses and urban areas, accounting for a total Waste Water Treatment Plants (WWTP) discharge of ~100,000 p.e. According to the criteria defined by the National Water Institute (based on the WWTP Directive), the Torrão reservoir is classified as eutrophic. Model estimates show that a 10% reduction in nutrient loads will suffice to change the state to mesotrophic, and should target primarily WWTP effluents, but also act on diffuse sources. The method applied in this study should provide a basis for water environmental management decision-making.

Original languageEnglish
Pages (from-to)3015-3031
Number of pages17
JournalInternational Journal of Environmental Research and Public Health
Volume11
Issue number3
DOIs
Publication statusPublished - 12 Mar 2014
Externally publishedYes

Funding

FundersFunder number
European Commission
Seventh Framework Programme311903

    Keywords

    • CE-QUAL-W2 model
    • Eutrophication
    • Land use
    • Pollution load reduction
    • SWAT model
    • Water environmental capacity
    • Water resources management
    • Watershed modelling and management

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