Analysis of Water Quantity and Quality Trade-Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-02936-x.pdf
Reference27 articles.
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2. Ahmadi M, Haddad OB, Loáiciga HA (2015) Adaptive reservoir operation rules under climatic change. Water Resour Manag 29(4):1247–1266. https://doi.org/10.1007/s11269-014-0871-0
3. Aygun O, Jonoski A, Popescu I (2019). Salinity control on saigon river downstream of dautieng reservoir within multi-objective simulation-optimisation framework for reservoir operation. In: Computational science-ICCS2019 (Vol. Lecture Notes in Computer Science, vol 11539). Springer, Cham, pp. 329–345. https://doi.org/10.1007/978-3-030-22474-0_26
4. Azadi F, Ashofteh P-S, Loáiciga HA (2019) Reservoir water-quality projections under climate-change conditions. Water Resour Manag 33(1):401–421. https://doi.org/10.1007/s11269-018-2109-z
5. Bartley R, Speirs WJ, Ellis TW, Waters DK (2012) A review of sediment and nutrient concentration data from Australia for use in catchment water quality models. Mar Pollut Bull 65(4):101–116. https://doi.org/10.1016/j.marpolbul.2011.08.009
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1. A CPSOCGSA-tuned neural processor for forecasting river water salinity: Euphrates river, Iraq;Cogent Engineering;2022-11-29
2. Correction to: Analysis of Water Quantity and Quality Trade‑Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems;Water Resources Management;2021-12-08
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