Flood Forecasting Using Artificial Neural Networks

Author:   P Varoonchotikul (UNESCO-IHE Institute for Water Education, Delft, the Netherlands)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138475076


Pages:   112
Publication Date:   02 October 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Flood Forecasting Using Artificial Neural Networks


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Overview

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.

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Author:   P Varoonchotikul (UNESCO-IHE Institute for Water Education, Delft, the Netherlands)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138475076


ISBN 10:   1138475076
Pages:   112
Publication Date:   02 October 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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