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

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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.
ISBN
9781040893548
Kieli
englanti
Julkaisupäivä
2.2.2026
Kustantaja
CRC PRESS
Formaatti
  • Epub - Adobe DRM
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