The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Wolfgang Van Berk - One of the best experts on this subject based on the ideXlab platform.
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Model-based Quality management of groundWater resources - catchment area Liedern, Germany.
Water science and technology : a journal of the International Association on Water Pollution Research, 2012Co-Authors: Christine Kübeck, Carsten Hansen, Christoph König, Dorothea Denzig, Wolfgang Van BerkAbstract:Strategies of groundWater protection in agricultural dominated areas are mainly based on a general reduction of the input of nutrients like nitrate. However, preventive measures in different parts of the catchment may provide very different effects on Raw Water Quality. Exemplified on the case study ‘Liedern’ (BEW GmbH Bocholt, Germany) it is shown that hydrogeochemical processes along the flow path and in the well strongly affect the results of agricultural measures in terms of modality and efficiency. Thus, a reduction of fertilization in the vicinity of the well gallery leads to a decrease of nitrate concentration in the Raw Water. Whereas agricultural measures in the eastern part of the catchment do not influence nitrate, but cause a reduction of the iron concentration and rate of incrustation in the wells after 18 years. In this study we present a management tool that enables assessment of future trends in Raw Water Quality. The tool is based on a reactive transport model which considers land use dynamics as an instrument to influence groundWater/Raw Water Quality. A thermodynamic equilibrium approach is applied for modelling hydrogeochemical processes between aqueous, solid and gaseous phases. Kinetically controlled reactions like the microbial degradation of organic carbon are expressed by multiplicative Michaelis–Menten equations.
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model based Raw Water Quality management manganese mobilization induced by bank filtration
Clean-soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Model Based Raw Water Quality Management – Manganese Mobilization Induced by Bank Filtration
CLEAN - Soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Retracing the development of Raw Water Quality in Water works applying reactive controlled material flux analyses
Aquatic Sciences, 2004Co-Authors: Carsten Hansen, Wolfgang Van BerkAbstract:The Fuhrberger Feld aquifer in northern Germany provides the majority of Water supply for the city of Hannover. Although parts of the recharge area have received a strong intake of nitrate from agricultural activities during the past 40 years, the extracted Raw Waters show little sign of nitrate contamination due to microbial nitrate reduction coupled with iron sulfide oxidation in the aquifer. Accordingly, iron and sulfate concentrations, in particular, are temporarily objectively high. To evaluate the contribution of quantitatively important processes to the development of Raw Water Quality, all relevant natural and anthropogenic induced processes were identified, quantified and stepwise integrated in a reactive controlled material flux model using PhreeqC. Comparing measured and modeled data, long-term trends in Raw Water Quality could be retraced. As a result, anthropogenic initiated processes such as varying nitrate influxes, conversion of wet grasslands into arable land coupled with geochemical processes (biomass degradation, oxidation of iron monosulfides in hydromorphic soils) and a partial nitrate breakthrough to the wells due to local complete consumption of iron disulfides were responsible for observed Quality changes.
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Retracing the development of Raw Water Quality in Water works applying reactive controlled material flux analyses
Aquatic Sciences - Research Across Boundaries, 2004Co-Authors: Carsten Hansen, Wolfgang Van BerkAbstract:The Fuhrberger Feld aquifer in northern Germany provides the majority of Water supply for the city of Hannover. Although parts of the recharge area have received a strong intake of nitrate from agricultural activities during the past 40 years, the extracted Raw Waters show little sign of nitrate contamination due to microbial nitrate reduction coupled with iron sulfide oxidation in the aquifer. Accordingly, iron and sulfate concentrations, in particular, are temporarily objectively high. To evaluate the contribution of quantitatively important processes to the development of Raw Water Quality, all relevant natural and anthropogenic induced processes were identified, quantified and stepwise integrated in a reactive controlled material flux model using PhreeqC.
Axel Bergmann - One of the best experts on this subject based on the ideXlab platform.
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model based Raw Water Quality management manganese mobilization induced by bank filtration
Clean-soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Model Based Raw Water Quality Management – Manganese Mobilization Induced by Bank Filtration
CLEAN - Soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Modelling Raw Water Quality: development of a drinking Water management tool.
Water science and technology : a journal of the International Association on Water Pollution Research, 2009Co-Authors: Ch. Kübeck, W. Van Berk, Axel BergmannAbstract:Ensuring future drinking Water supply requires a tough management of groundWater resources. However, recent practices of economic resource control often does not involve aspects of the hydrogeochemical and geohydraulical groundWater system. In respect of analysing the available quantity and Quality of future Raw Water, an effective resource management requires a full understanding of the hydrogeochemical and geohydraulical processes within the aquifer. For example, the knowledge of Raw Water Quality development within the time helps to work out strategies of Water treatment as well as planning finance resources. On the other hand, the effectiveness of planed measurements reducing the infiltration of harmful substances such as nitrate can be checked and optimized by using hydrogeochemical modelling. Thus, within the framework of the InnoNet program funded by Federal Ministry of Economics and Technology, a network of research institutes and Water suppliers work in close cooperation developing a planning and management tool particularly oriented on Water management problems. The tool involves an innovative material flux model that calculates the hydrogeochemical processes under consideration of the dynamics in agricultural land use. The program integrated graphical data evaluation is aligned on the needs of Water suppliers.
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Modelling Raw Water Quality—development of a drinking Water management tool
Water Supply, 2008Co-Authors: Ch. Kübeck, W. Van Berk, Axel BergmannAbstract:Ensuring future drinking Water supply requires a tough management of groundWater resources. However, recent practice of economic resource control often does not involve aspects of the hydrogeochemical and geohydraulical groundWater system. In respect of analysing the available quantity and Quality of future Raw Water, an effective resource management requires a full understanding of the hydrogeochemical and geohydraulical processes within the aquifer. For example, the knowledge of Raw Water Quality development with time helps to work out strategies of Water treatment as well as planning finance resources. On the other hand, the effectiveness of planned measurements reducing the infiltration of harmful substances such as nitrate can be checked and optimized by using hydrogeochemical modelling. Thus, within the framework of the InnoNet program funded by Federal Ministry of Economics and Technology, a network of research institutes and Water suppliers work in close cooperation developing a planning and management tool particularly oriented on Water management problems. The tool involves an innovative material flux model that calculates the hydrogeochemical processes under consideration of the dynamics in agricultural land use. The program integrated graphical data evaluation is aligned on the needs of Water suppliers.
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modelling Raw Water Quality development of a drinking Water management tool
Water Science & Technology: Water Supply, 2008Co-Authors: Ch. Kübeck, W. Van Berk, Axel BergmannAbstract:Ensuring future drinking Water supply requires a tough management of groundWater resources. However, recent practice of economic resource control often does not involve aspects of the hydrogeochemical and geohydraulical groundWater system. In respect of analysing the available quantity and Quality of future Raw Water, an effective resource management requires a full understanding of the hydrogeochemical and geohydraulical processes within the aquifer. For example, the knowledge of Raw Water Quality development with time helps to work out strategies of Water treatment as well as planning finance resources. On the other hand, the effectiveness of planned measurements reducing the infiltration of harmful substances such as nitrate can be checked and optimized by using hydrogeochemical modelling. Thus, within the framework of the InnoNet program funded by Federal Ministry of Economics and Technology, a network of research institutes and Water suppliers work in close cooperation developing a planning and management tool particularly oriented on Water management problems. The tool involves an innovative material flux model that calculates the hydrogeochemical processes under consideration of the dynamics in agricultural land use. The program integrated graphical data evaluation is aligned on the needs of Water suppliers.
Marcelo Libânio - One of the best experts on this subject based on the ideXlab platform.
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Evaluating the surface Water Quality index fuzzy and its influence on Water treatment
Journal of Water Process Engineering, 2019Co-Authors: Mariângela Dutra De Oliveira, Oscar Luiz Teixeira De Rezende, Juliana Freitas Ramos De Fonseca, Marcelo LibânioAbstract:Abstract The RWQI (Raw Water Quality Index) was developed in compliance with deterministic models, in order to assess the treatability of natural Waters for human consumption by means of conventional process, basing on the similar procedure of the well-known Water Quality Index developed by the National Sanitation Foundation (WQINSF). The RWQI, however, seemed to require further adjustments regarding mainly rating criteria. In order to find a non-deterministic model that would allow handling uncertainties, the non-linearity of the parameters and the knowledge of the specialists, the Fuzzy Logic was used in new approach to the RWQI. In this context, the new index (named Raw Water Quality Index Fuzzy - RWQIF) was applied to data set of 24 Water sources in Brazil evaluating the correlations with the RWQI, the WQICETESB, treated Water turbidity and coagulant dose. The inverse correlation between the RWQIF with coagulant dose and treated Water turbidity was obtained. However, the low intensity of these correlations indicated that there are other intervening factors in this relation. Finally, this research points out the RWQIF as a suitable support decision-making tool that allows managers to prioritize Watershed protection actions in short, medium and long-term, aiming at minimizing the Water treatment costs and improving the treated Water Quality.
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Applicability of statistical tools for evaluation of Water treatment plants
Desalination and Water Treatment, 2015Co-Authors: Lívia Duarte Ventura Melo, Marcelo Libânio, Misael Dieimes De Oliveira, Sílvia Corrêa OliveiraAbstract:AbstractThis paper aims to demonstrate the use of some statistical tools to evaluate the performance of Water treatment plants (WTP) in terms of Water Quality effluent. On such a purpose, mean values of daily recorded data on Raw Water and treated Water Quality were accounted within the period between 2001 and 2011 at six WTP of which average inflow rate varied from 0.033 to 4.4 m3 s−1. In order to evaluate the seasonality effect on the Raw Water Quality and the performance of such plants, the results found during the wet and dry season were set apart. The results pointed out the feasibility of these statistical tools, and considering the effluent turbidity as the main parameter, the statistical analysis showed that performance level of the plants is not dependent on their sizes or Raw Water Quality. Additionally, all plants evaluated had their performance reduced during the wet season compared to the dry season.
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Nova abordagem do Índice de Qualidade de Água Bruta utilizando a Lógica Fuzzy A new approach to the Raw Water Quality Index using the Fuzzy Logic
2014Co-Authors: Mariângela Dutra De Oliveira, Oscar Luiz, Teixeira De Rezende, Sílvia Maria, Alves Correa Oliveira, Marcelo LibânioAbstract:For the performance evaluation of Water treatment plants, the Raw Water Quality presents significant relevance. In Brazil, the Index of Quality of Raw Water for Public Supply (IAP) and the Index of Quality of Raw Water (IQAB), developed according to deterministic models, can evaluate the treatability of natural Waters. However, the IAP presents a high cost for actual implementation and the IQAB needs some adjustments related to the input parameters and grading criteria. Aiming at a non-deterministic model, able to deal with uncertain, nonlinearity of the parameters and expert knowledge, Fuzzy Logic was applied to a new approach of the IQAB. The Fuzzy Raw Water Quality Index (IQABF), in comparison with the original IQAB, presented more restrictive, more consistent and more flexible for future adjustments. Its application for six Water sources of Southeast Region showed practically the same hierarchy in terms of the treatability in comparison with the original IQAB.
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Proposal of a Raw Water Quality Index influent to conventional Water treatment plants
Engenharia Sanitaria E Ambiental, 2009Co-Authors: Maria Eugênia Tavares Abreu De Souza, Marcelo LibânioAbstract:This paper has the objective of proposing a Raw Water Quality Index (RWQI) influent for the conventional Water treatment plants that allow the comparison of the treatability of distinct surface Water sources. The Delphi methodology was employed similarly to that employed for the development of Water Quality Index, in the beginning of the 1970's, with a panel composed by 24 specialists. According to the panel opinion, the RWQI was composed by eight Water Quality parameters usually monitored in a significant portion of Brazilian plants. Its application on five surface Water sources allows the recommendation of its use as an additional tool for the assessment of the performance of Water treatment plants operated by the Brazilian sanitation companies.
Carsten Hansen - One of the best experts on this subject based on the ideXlab platform.
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Model-based Quality management of groundWater resources - catchment area Liedern, Germany.
Water science and technology : a journal of the International Association on Water Pollution Research, 2012Co-Authors: Christine Kübeck, Carsten Hansen, Christoph König, Dorothea Denzig, Wolfgang Van BerkAbstract:Strategies of groundWater protection in agricultural dominated areas are mainly based on a general reduction of the input of nutrients like nitrate. However, preventive measures in different parts of the catchment may provide very different effects on Raw Water Quality. Exemplified on the case study ‘Liedern’ (BEW GmbH Bocholt, Germany) it is shown that hydrogeochemical processes along the flow path and in the well strongly affect the results of agricultural measures in terms of modality and efficiency. Thus, a reduction of fertilization in the vicinity of the well gallery leads to a decrease of nitrate concentration in the Raw Water. Whereas agricultural measures in the eastern part of the catchment do not influence nitrate, but cause a reduction of the iron concentration and rate of incrustation in the wells after 18 years. In this study we present a management tool that enables assessment of future trends in Raw Water Quality. The tool is based on a reactive transport model which considers land use dynamics as an instrument to influence groundWater/Raw Water Quality. A thermodynamic equilibrium approach is applied for modelling hydrogeochemical processes between aqueous, solid and gaseous phases. Kinetically controlled reactions like the microbial degradation of organic carbon are expressed by multiplicative Michaelis–Menten equations.
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model based Raw Water Quality management manganese mobilization induced by bank filtration
Clean-soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Model Based Raw Water Quality Management – Manganese Mobilization Induced by Bank Filtration
CLEAN - Soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Retracing the development of Raw Water Quality in Water works applying reactive controlled material flux analyses
Aquatic Sciences, 2004Co-Authors: Carsten Hansen, Wolfgang Van BerkAbstract:The Fuhrberger Feld aquifer in northern Germany provides the majority of Water supply for the city of Hannover. Although parts of the recharge area have received a strong intake of nitrate from agricultural activities during the past 40 years, the extracted Raw Waters show little sign of nitrate contamination due to microbial nitrate reduction coupled with iron sulfide oxidation in the aquifer. Accordingly, iron and sulfate concentrations, in particular, are temporarily objectively high. To evaluate the contribution of quantitatively important processes to the development of Raw Water Quality, all relevant natural and anthropogenic induced processes were identified, quantified and stepwise integrated in a reactive controlled material flux model using PhreeqC. Comparing measured and modeled data, long-term trends in Raw Water Quality could be retraced. As a result, anthropogenic initiated processes such as varying nitrate influxes, conversion of wet grasslands into arable land coupled with geochemical processes (biomass degradation, oxidation of iron monosulfides in hydromorphic soils) and a partial nitrate breakthrough to the wells due to local complete consumption of iron disulfides were responsible for observed Quality changes.
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Retracing the development of Raw Water Quality in Water works applying reactive controlled material flux analyses
Aquatic Sciences - Research Across Boundaries, 2004Co-Authors: Carsten Hansen, Wolfgang Van BerkAbstract:The Fuhrberger Feld aquifer in northern Germany provides the majority of Water supply for the city of Hannover. Although parts of the recharge area have received a strong intake of nitrate from agricultural activities during the past 40 years, the extracted Raw Waters show little sign of nitrate contamination due to microbial nitrate reduction coupled with iron sulfide oxidation in the aquifer. Accordingly, iron and sulfate concentrations, in particular, are temporarily objectively high. To evaluate the contribution of quantitatively important processes to the development of Raw Water Quality, all relevant natural and anthropogenic induced processes were identified, quantified and stepwise integrated in a reactive controlled material flux model using PhreeqC.
Christine Kübeck - One of the best experts on this subject based on the ideXlab platform.
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Model-based Quality management of groundWater resources - catchment area Liedern, Germany.
Water science and technology : a journal of the International Association on Water Pollution Research, 2012Co-Authors: Christine Kübeck, Carsten Hansen, Christoph König, Dorothea Denzig, Wolfgang Van BerkAbstract:Strategies of groundWater protection in agricultural dominated areas are mainly based on a general reduction of the input of nutrients like nitrate. However, preventive measures in different parts of the catchment may provide very different effects on Raw Water Quality. Exemplified on the case study ‘Liedern’ (BEW GmbH Bocholt, Germany) it is shown that hydrogeochemical processes along the flow path and in the well strongly affect the results of agricultural measures in terms of modality and efficiency. Thus, a reduction of fertilization in the vicinity of the well gallery leads to a decrease of nitrate concentration in the Raw Water. Whereas agricultural measures in the eastern part of the catchment do not influence nitrate, but cause a reduction of the iron concentration and rate of incrustation in the wells after 18 years. In this study we present a management tool that enables assessment of future trends in Raw Water Quality. The tool is based on a reactive transport model which considers land use dynamics as an instrument to influence groundWater/Raw Water Quality. A thermodynamic equilibrium approach is applied for modelling hydrogeochemical processes between aqueous, solid and gaseous phases. Kinetically controlled reactions like the microbial degradation of organic carbon are expressed by multiplicative Michaelis–Menten equations.
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model based Raw Water Quality management manganese mobilization induced by bank filtration
Clean-soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
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Model Based Raw Water Quality Management – Manganese Mobilization Induced by Bank Filtration
CLEAN - Soil Air Water, 2009Co-Authors: Christine Kübeck, Carsten Hansen, Axel Bergmann, Stefan Kamphausen, Christoph König, Wolfgang Van BerkAbstract:In many countries bank filtration is used as the first step of drinking Water treatment. River Water percolates the riverbed and aquifer sediments which serve as a natural filter removing substances like nitrate, particular and dissolved organic matter and trace elements. Raw Water Quality, therefore, depends on both river Water Quality as well as hydrogeochemical processes within the sediment. Exemplified by the case study of Auf dem Grind, Well II (Dusseldorf, Germany), the geohydraulic and hydrogeochemical processes of a catchment area that is strongly influenced by bank filtration were investigated. Raw Water extracted from Well II showed significantly elevated manganese concentrations compared to river Water and to Raw Water from other wells in the catchment area. A reactive transport model was developed for retracing the measured Raw Water Quality. Retrospective modeling revealed the principles of long and midterm changes in Raw Water Quality, especially fluctuations in manganese concentrations. Based on the model-scenario, the effects of varying river Water qualities and/or agricultural fertilization practices can be predicted. The quantitative understanding of coupled hydrogeochemical and hydraulic processes enables the development of sustainable strategies optimizing Raw Water Quality, e. g. with regard to a cost effective Water treatment.
