Estimation of suspended sediment concentration from turbidity measurements using artificial neural networks

Author:

Bayram Adem,Kankal Murat,Önsoy Hizir

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference38 articles.

1. Agarwal, A., Mishra, S. K., Ram, S., & Singh, J. K. (2006). Simulation of runoff and sediment yield using artificial neural networks. Biosystems Engineering, 94, 597–613.

2. Alp, M., & Cigizoglu, H. K. (2007). Suspended sediment load simulation by two artificial neural networks methods using hydrometeorological data. Environmental Modelling and Software, 22, 2–13.

3. APHA. (1992). American Public Health Association. Standard methods for the examination of water and wastewater (18th ed.). Washington: APHA.

4. Bayram, A., Kankal, M., Onsoy, H., & Bulut, V. N. (2010a). The effects of hydraulics structures in the stream Harşit on suspended sediment transport. In H. Karahan & N. O. Baykan (Eds.), VI. Ulusal Hidroloji Kongresi (pp. 873–882). Turkey: Denizli (in Turkish with English abstract).

5. Bayram, A., Onsoy, H., Bulut, V. N., Tufekci, M. (2010b). Dissolved oxygen levels in the stream Harşit (Turkey). In: 9th International Congress on Advances in Civil Engineering (full text in CD: ACE2010-HYD-041) Trabzon, Turkey.

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