Ter River influence on Sau Reservoir limnology. Empirical and watershed-scale modeling
[eng] The role of the materials coming from the watershed on the reservoir water quality is an emergent area of high scientific interest with many practical implications. In this study we investigated the influence of the materials coming from the Ter River watershed on the eutrophication process of...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2007 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/35306 |
| Acceso en línea: | https://hdl.handle.net/2445/35306 http://www.tdx.cat/TDX-0919107-113118 http://hdl.handle.net/10803/1437 |
| Access Level: | acceso abierto |
| Palabra clave: | Pantans (Enginyeria civil) Qualitat de l'aigua Eutrofització Ter (Catalunya : Curs d'aigua) Sau (Catalunya : Pantà) Reservoirs Water quality Eutrophication Ter (Catalonia : River) Sau (Catalonia : Swamp) |
| Sumario: | [eng] The role of the materials coming from the watershed on the reservoir water quality is an emergent area of high scientific interest with many practical implications. In this study we investigated the influence of the materials coming from the Ter River watershed on the eutrophication process of Sau Reservoir, located in Barcelona (Spain). First, we present a new methodology to calculate nutrient river loads, using fuzzy logic and tools from neural-networks optimization algorithms. The new method was more efficient and accurate than classical procedures. Then, we demonstrate the effect of river materials (especially that of dissolved organic carbon) on the development of anoxic layers in the bottom layers of the reservoir. These results are not limited to Sau Reservoir, since other reservoirs in the world have shown the same responses. The second part of the dissertation develops a watershed-scale model for the Ter River and the Sau Reservoir using HSPF. This included hydrology, river water temperature, and river total phosphorus concentration. Results were satisfactory, and the model implementation allowed testing state-of-the-art algorithms to calibrate complex models, based on the Bayesian statistical theory. On the other hand, different alternatives to model river water temperature were tested. Finally, we explored the possibility of using field data collected at the river reach scale, following the Nutrient Spiralling Concept, to parameterize the river total phosphorus model in the Ter watershed, with encouraging results. |
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