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Математическое моделирование процесса обезвреживания осадков сточных вод в биосульфидогенных условиях

Математическое моделирование процесса обезвреживания осадков сточных вод в биосульфидогенных условиях

Abstract

Предложена математическая модель обезвреживания осадков сточных вод в условиях биосульфидогенеза при диссимиляционном восстановлении малорастворимых сульфатов. Полученные результаты согласуются с экспериментальными данными, соответствующими динамике выходящего из биореактора биогенного газа. По характеру изменения кинетики выхода биогенного сероводорода, изменения концентрации ацетата и скорости потребления сульфатов можно осуществлять прогноз процесса биосульфидогенеза и находить наиболее оптимальные параметры системы The mathematical model of sewage sludge detoxification under biosulfidogenic condition during insoluble sulfates dissimilation recovery was formed. The results are similar to the experimental data of the biogenic gas dynamics. By the nature of change in the kinetics of biogenic hydrogen sulfide release, concentrations of acetate and sulfate consumption rate can be use for forecast of biosulfidogenic process and determine the optimal parameters of the system

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Keywords

математическая модель, sewage sludge, sulfate-reducing bacteria, биогенный сероводород, ацетат, биореактор, тяжелые металлы, biogenic hydrogen sulfide, heavy metals, сульфатвосстанавливающие бактерии, mathematical model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green