A decision support procedure for integrative management of dammed raw water reservoirs

2013 ◽  
Vol 13 (2) ◽  
pp. 349-357
Author(s):  
I. Slavik ◽  
W. Uhl ◽  
B. Skibinski ◽  
S. Rolinski ◽  
T. Petzoldt ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Decision Support ◽  
Reservoir Management ◽  
Process Models ◽  
Raw Water ◽  
Water Reservoirs ◽  
Catchment Areas ◽  
Raw Water Quality ◽  
Integrative Management

Dammed drinking water reservoirs with their catchment areas and the downstream rivers are dynamic systems that change permanently under the influence of many factors. Their multifunctional use for drinking water supply, flood control, energy production, nature conservation and recreation as well as ecological constraints for the rivers downstream requires an integrative management considering and balancing between different requirements. Thus, an optimal reservoir management has to take into account scenarios of external influences and must be based on predictions of prospective raw water qualities. Furthermore, the impacts of short- and long-term changes of the raw water quality on drinking water treatment have to be considered. The problem is very complex and cannot be solved intuitively but requires the application of hydrological, ecological and process models. This approach was followed in the work presented here, as a tool to predict and evaluate the impacts of different reservoir management strategies in an integrative way is currently not available. The developed decision support procedure (DSP) allows for the estimation of the effects of different hydrological and water quantity management scenarios on raw water quality, water processing costs and ecology in the downstream river. Extreme hydrological events or changing boundary conditions (e.g. climate change) are taken into account.

IntegTa: a procedure for integrative management of dammed raw water reservoirs for drinking water production and their lower reaches

2010 ◽  
Vol 10 (5) ◽  
pp. 783-792 ◽  
Author(s):  
I. Slavik ◽  
W. Uhl ◽  
J. Völker ◽  
H. Lohr ◽  
M. Funke ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Flood Control ◽  
Reservoir Management ◽  
Water Production ◽  
Raw Water ◽  
Water Reservoirs ◽  
Drinking Water Production ◽  
The Impact

Dammed water reservoirs for drinking water production with their catchment areas and rivers downstream represent dynamic systems that change constantly and are subject to many influences. An optimized management considering and weighing up the various demands on raw water reservoirs (long-term storage for drinking water supply, flood control, ecological state of the rivers downstream, energy production, nature conservation and recreational uses) against each other is therefore very difficult. Thus, an optimal reservoir management has to take into account scenarios of possibly occurring external influences and to permit predictions of prospective raw water qualities, respectively. Furthermore, the impact of short and long term changes in raw water quality on subordinate processes should be considered. This approach was followed in the work presented here, as there currently is no tool available to predict and evaluate the impacts of raw water reservoir management strategies integratively. The strategy supported by the newly developed decision support procedure takes into account all aspects from water quality, flood control and drinking water treatment to environmental quality downstream the reservoir. Furthermore, possible extreme events or changes of boundary conditions (e.g. climate change) can be considered.

An approach for determining the most critical among a suite of chemical contaminants at a drinking water intake

2013 ◽  
Vol 13 (3) ◽  
pp. 835-845
Author(s):  
Fei Chen ◽  
William B. Anderson ◽  
Peter M. Huck
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Intake ◽  
Treatment Plant ◽  
Quality Data ◽  
Exceedance Probability ◽  
Raw Water ◽  
Water Quality Data ◽  
Treatment Processes ◽  
Raw Water Quality

An integrated approach for the identification and assessment of the most critical chemical contaminant(s) at a drinking water intake has been developed. It involves the determination of a threshold or critical raw water concentration (CRWC) for target contaminants using the observed overall removal efficiency of a specific water treatment plant (WTP) and regulated drinking water concentrations for the target contaminants. The exceedance probability relative to the CRWC based on historical raw water quality monitoring data is then calculated. Finally, the integration of the raw water quality data and the overall efficiency of a particular WTP sequence allows for identification of the most critical contaminant(s) as well as an advance indication of which contaminants are most likely to challenge a plant. The proactive nature of this approach gives a utility the impetus and time to assess current treatment processes and potential alternatives. In addition, it was found that three- or four-parameter theoretical distributions are more appropriate than two-parameter probability distributions for the fitting of raw water quality data. This study reveals that the reliance on raw and/or treated water contaminant concentrations in isolation or on theoretical removals through treatment processes can, in some circumstances, be misguided.

Analysing water quality changes due to reservoir management and climate change for optimization of drinking water treatment

2009 ◽  
Vol 9 (1) ◽  
pp. 99-105 ◽  
Author(s):  
I. Slavik ◽  
W. Uhl
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Treatment ◽  
Reservoir Management ◽  
Quality Changes ◽  
Short Term ◽  
Reservoir Water ◽  
Catchment Areas

Reservoir water for drinking water production may undergo major short-term and long-term quality changes. These are results of natural processes in the water body and of the water's quality entering and leaving the reservoir. Long term quality changes are due to management of catchment areas, but also to a considerable extent by external impacts like climate change. Short term quality changes are impacted by extreme events like rain storms after drought periods, which might also be a result of climate change. Furthermore, short- and mid-term quality changes are impacted by reservoir management, which also influences the ecological state of rivers downstream the reservoir. The purpose of our work is to develop a decision support tool for reservoir management which takes into account short-, mid- and long-term factors for water quality change. With the tool it is intended to simulate not only water quality, but also management impact on flood risk prevention and drinking water quality (treatment efficiency and costs) and to assist decision making for reservoir management.

Modelling raw water quality—development of a drinking water management tool

2008 ◽  
Vol 8 (5) ◽  
pp. 589-596
Author(s):  
Ch. Kübeck ◽  
W. van Berk ◽  
A. Bergmann
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Drinking Water ◽  
Agricultural Land ◽  
Groundwater Resources ◽  
Management Tool ◽  
Quality Development ◽  
Raw Water ◽  
Economic Resource ◽  
Raw Water Quality

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.

Research on raw water quality assessment oriented to drinking water treatment based on the SVM model

2015 ◽  
Vol 16 (3) ◽  
pp. 746-755 ◽  
Author(s):  
Dongsheng Wang
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Quality Assessment ◽  
Drinking Water Treatment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Raw Water ◽  
Control Scheme ◽  
Raw Water Quality

Raw water quality variation has a great effect on drinking water treatment. To improve the adaptivity of drinking water treatment and stabilize the quality of treated water, a raw water quality assessment method, which is based upon the support vector machine (SVM), is developed in this study. Compared to existing raw water quality assessment methods, the assessment method studied herein is oriented to drinking water treatment and can directly be used for the control of the chemical (alum and ozone) dosing process. To this end, based upon the productive experiences and the analysis of the operating data of water supply, a raw water quality assessment standard oriented to drinking water treatment is proposed. A raw water quality model is set up to assess the raw water quality based upon the SVM technique. Based upon the raw water quality assessment results, a feedforward–feedback control scheme has been designed for the chemical dosing process control of drinking water treatment. Thus, the chemical dosage can be adjusted in time to cope with raw water quality variations and hence, the quality of the treated water is stabilized. Experimental results demonstrate the improved effectiveness of the proposed method of raw water quality assessment and the feedforward–feedback control scheme.

scholarly journals Raw Water Quality and Pretreatment in Managed Aquifer Recharge for Drinking Water Production in Finland

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 138 ◽  
Author(s):  
Petri Jokela ◽  
Tapani Eskola ◽  
Timo Heinonen ◽  
Unto Tanttu ◽  
Jukka Tyrväinen ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Managed Aquifer Recharge ◽  
Water Production ◽  
Raw Water ◽  
Aquifer Recharge ◽  
Drinking Water Production ◽  
Raw Water Quality
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