Flood Forecasting Using Artificial Neural Networks - P Varoonchotikul

Flood Forecasting Using Artificial Neural Networks

Buch | Hardcover
112 Seiten
2017
CRC Press (Verlag)
978-1-138-47507-6 (ISBN)
219,95 inkl. MwSt
This work examines the use of advance warning models to predict flooding and flood damage. Specifically, it includes an examination of the Artificial Neural Network (ANN) rainfall-runoff model, its suitability, uses and limitations.
This dissertation considers various questions with respect to the effects of salinity on nutrification: what are the main inhibiting factors causing the effects, do all salts have similar effects, what is the maximum acceptable salt level, are ammonia oxidisers or nitrite oxidizers most sensitive to salt stress, can nitrifiers adapt to long term salt stress and are some specific nitrifiers more resistant to salt stress than others? Research was carried out at laboratory scale and in full-scale plants and modelling was employed in both phases to provide a mathematical description for salt inhibition on nitrification and to facilitate the comparison. The result has led to an improved understanding of the effect of salinity on nitrification. The results can be used to improve the sustainability of the exisisting wastewater treatment plants operated under salt stress.

P Varoonchotikul

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 453 g
Themenwelt Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Technik Umwelttechnik / Biotechnologie
Wirtschaft
ISBN-10 1-138-47507-6 / 1138475076
ISBN-13 978-1-138-47507-6 / 9781138475076
Zustand Neuware
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