Developing a comprehensive framework for eutrophication management in off-stream artificial lakes
| Autor: | Hamed Khorasani, Reza Kerachian, Siamak Malakpour-Estalaki |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Upstream (petroleum industry)
Watershed 010504 meteorology & atmospheric sciences Flood myth Detention basin 010501 environmental sciences 01 natural sciences Arid Water resources Environmental science Water treatment Eutrophication Water resource management 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Journal of Hydrology. 562:103-124 |
| ISSN: | 0022-1694 |
| Popis: | In this paper, a comprehensive and interdisciplinary framework for management of eutrophication in off-stream artificial lakes in semi-arid and arid regions is proposed. Identification of the lake’s water resources system components and stakeholders, simulation of Phosphorus (P) export from upstream watershed, simulation of the lake water quality as well as simulation of water demands and supply, development of management scenarios for the lake and selecting the best scenario using social choice methods (i.e. discrete and fuzzy Borda counts) are the four main parts of the framework. The proposed framework is applied on Chitgar Artificial Lake (ChAL), the largest intra-urban artificial lake in Tehran which has been constructed in 2010–2013 for recreational purposes. The Load Apportionment Model (LAM) is used for the simulation of P loads from the point and non-point (diffusive) sources and the LakeMab model is used for the simulation of P dynamics in the lake. The management scenarios contain optimized rule curves for water intake/outtake blended with P management plans (i.e. removal of point sources of P load in the upstream watershed, construction of a hydroponic bio-filter or an advanced water treatment plant beside the lake for reduction of external loading of P and recycling lake water, alum treatment of lake sediments for controlling the internal loading of P as well as construction of a dry detention basin). The most preferred scenarios selected by the discrete Borda count are the low-cost alum treatment and dry detention basin, while the most preferred scenario according to fuzzy Borda count, which considers the uncertainty of model inputs, is the costly water treatment plant. In all preferred scenarios, water intake is conducted from flood flows in order to avoid conflict with downstream agricultural demands. In addition to decentralized decision making and stakeholders’ participation, the proposed framework promotes the integration of the technical aspects such as the role of internal loading in lake eutrophication and separation of flood and non-flood flows in the off-stream lakes’ systems. |
| Databáze: | OpenAIRE |
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