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Flood Forecasting Using Artificial Neural Networks
Flood Forecasting Using Artificial Neural Networks

Book Details

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
  • ISBN13 9781138475076
  • ISBN10 1138475076
  • Pages 112
  • Published 2017
  • Fecha de publicación 02/10/2017
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Flood Forecasting Using Artificial Neural Networks

Flood Forecasting Using Artificial Neural Networks

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