Effect of iron and manganese content on granulometric composition of suspensions in backwash effluent from filters used for groundwater treatment. [Wpływ zawartości związków żelaza i manganu na skład granulometryczny zawiesin w popłuczynach z filtrów do oczyszczania wód podziemnych]

QUOTING:

J. Łomotowski, P. Wiercik, E. Burszta-Adamiak, Effect of iron and manganese content on granulometric composition of suspensions in backwash effluent from filters used for groundwater treatment. [Wpływ zawartości związków żelaza i manganu na skład granulometryczny zawiesin w popłuczynach z filtrów do oczyszczania wód podziemnych], Ochrona Srodowiska 35 (4), (2013) 43-46.

Łomotowski J., Wiercik P., Burszta-Adamiak E.,

Abstract

Granulometric composition of suspensions contained in filter backwash water affects filter treatment technology selection. The paper describes results of granulometric composition studies on filter backwash water suspensions collected from 46 groundwater treatment plants. An original, modified Avrami equation was proposed to interpret the results of studies on granulometric composition determined by the use of laser diffractometer. The equation enabled identification of mechanism in which suspensions are formed in filter beds applied for groundwater iron and manganese removal process. The research showed that iron and manganese concentration growth in treated groundwater correlated with increase in the percentage of suspended particles with small equivalent diameter and in changeability range of particle equivalent diameters in backwash effluent. At low contents of iron and manganese compounds in treated water polydisperse suspensions were formed, characterized by narrower changeability range of particle equivalent diameters.

Contact

 

 

 

The Faculty of Environmental Engineering and Geodesy

Institute of Environmental Engineering

Wrocław University of Environmental and Life Sciences

Address:
pl. Grunwaldzki 24,
50-363 Wrocław

Project assumptions

The overall goal of the project is to develop an innovative multifactor mathematical model enabling monitoring of bath contamination used in the electropolishing process of austenitic stainless steels. This model will allow optimization and reduction of process costs and will have an impact on reducing environmental pollution during electrolytic polishing of austenitic stainless steels.

The final outcome of the project will consist in the development of a method of monitoring the gradual contamination of the electropolishing bath.

Team

The team deals with research in the field of electrochemistry, wastewater treatment, monitoring and optimization of processes in laboratory and industrial conditions. The diverse experience of individual members of the IonsMonit team is its strength.

 


 

Project: “A pioneering model for monitoring pollution of electropolishing process baths (IonsMonit)” financed by the National Center for Research and Development as part of the Lider programme.

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