Flood Forecasting Using Artificial Neural Networks

Specificaties
Gebonden, 112 blz. | Engels
CRC Press | 1e druk, 2017
ISBN13: 9781138475076
Rubricering
CRC Press 1e druk, 2017 9781138475076
€ 169,81
Levertijd ongeveer 10 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781138475076
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:112
Uitgever:CRC Press
Druk:1
€ 169,81
Levertijd ongeveer 10 werkdagen

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        Flood Forecasting Using Artificial Neural Networks