Relevant bibliographies by topics / Water quality management – Rhine River

Academic literature on the topic 'Water quality management – Rhine River'

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Published: 10 March 2023

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Journal articles on the topic "Water quality management – Rhine River"

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Zwolsman, J. J. G., and A. J. van Bokhoven. "Impact of summer droughts on water quality of the Rhine River - a preview of climate change?" Water Science and Technology 56, no. 4 (August 1, 2007): 45–55. http://dx.doi.org/10.2166/wst.2007.535.

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It is generally recognized that climate change will affect the discharge regime of the Rhine River. Especially the anticipated increase in extreme river discharges (floods and droughts) poses serious problems to water management, both with regard to water quantity and water quality. Water quality effects of climate change are not sufficiently recognized, however. The purpose of this study is to investigate the impact of droughts on the water quality of the River Rhine. Time series of river flow and water quality were analyzed for station Lobith, located at the Dutch-German border. Over the past three decades, three major droughts were identified, occurring in the years 1976, 1991, and 2003. The water quality during these dry years was compared with the water quality in reference years, characterized by average hydrological conditions and similar chemical pollution. Four groups of water quality parameters were investigated: 1, general variables (water temperature, dissolved oxygen, chlorophyll-a); 2, major ions (chloride, sodium, sulfate, fluoride, bromide); 3, nutrients; and 4, heavy metals. It was found that water quality is negatively influenced by (summer) droughts, with respect to water temperature, eutrophication, major ions and heavy metals. Effects on nutrient concentrations were small for ammonium and could not be demonstrated for nitrate, nitrite and phosphate. The decline in water quality during summer droughts is both related to the high water temperatures and to low river discharges (limited dilution of the chemical load from point sources). Moreover, the impact of the 1976 drought on water quality was far more important than that of the 2003 drought, indicating that the impact of droughts on water quality will be greater when the water quality is already poor.
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Benoist, Alfred P., and Gerard H. Broseliske. "Water Quality Prognosis and Cost Analysis of Pollution Abatement Measures in the Rhine Basin (The River Rhine Project: Ever)." Water Science and Technology 29, no. 3 (February 1, 1994): 95–106. http://dx.doi.org/10.2166/wst.1994.0072.

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For priority pollutants, the international Rhine Action Programme (RAP) aims to meet the quality objectives for the Rhine, set by the International Rhine Commission (IRC), by the year 2000. An assessment must be carried out to define additional measures exceeding best available technology (BAT) for point sources and best environmental practice (BEP) for diffuse sources for those priority pollutants still violating the quality objectives of the Rhine after implementing BAT and BEP only. To carry out the required assessments, an excessive amount of work and money is needed, including the application of sophisticated calculation models. For prioritizing reasons, the Institute for Inland Water Management and Waste Water Treatment (RIZA) initiated a project called EVER, which was conducted by DHV Water BV. EVER is the abbreviation of the Dutch equivalent for Effective Distribution of Emission Reductions (Effective Verdeling van Emissie Reducties). The aim of this project is to carry out a first and crude evaluation of the impact of abatement measures (BAT and BEP), as set by the IRC for the period 1985-1995. For those pollutants still showing a violation of the quality objectives for the Rhine in the year 1995, a range finding method is used, to predict the costs and impact of abatement measures exceeding BAT and BEP on the water quality of the Rhine. So, EVER is a management tool to prioritize the work to be done within the frame-work of the IRC, triggering the application of e.g. sophisticated calculation models for a selected number of priority pollutants. In EVER, the prognosis of the reduction of specific discharge rates for approximately forty priority pollutants is given for twelve sub-catchment areas for the year 1995. This prognosis is used to predict concentrations at eight international monitoring locations in the Rhine basin, using the discharges and concentrations of the year 1985 as a reference. The predicted concentrations for the year 1995 are compared with the (preliminary) water quality objectives as set by the IRC. The results indicate, that for six of the selected pollutants the number of available data is too small for sound predictions. Fifteen of the selected pollutants will satisfy the water quality objectives in 1995. Twenty (half) of the selected pollutants will still violate the quality objectives at several monitoring locations. These twenty pollutants are the basis for priorities to be set within the frame-work of the IRC for phase 3 (1995-2000) of the RAP. For these pollutants, additional abatement measures exceeding BAT and BEP are selected in EVER for the manageable groups of sources (anthropogenic non-point sources, industrial sources and municipal sources). Each measure is analyzed separately for costs and effectiveness. Finally the results of this project are integrated into a matrix system which will enable us to select the most effective mix of pollution abatement measures at the lowest costs. The result of the selected additional measures exceeding BAT and BEP shows that 17 pollutants will still violate the quality objectives.
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Tonderski, A., A. Grimvall, K. Sundblad, and P. Stålnacke. "An East-West perspective on riverine loads of nutrients in the Vistula and Rhine basins." Water Science and Technology 30, no. 5 (September 1, 1994): 121–30. http://dx.doi.org/10.2166/wst.1994.0230.

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Measures proposed to reduce the load of nutrients to the Baltic Sea focus on the removal of point emissions through introduction of environmental technology in the eastern and southern parts of the drainage basin. This article draws attention to the mixed success of Western European river basin management by comparing water quality trends and turnover of nutrients in the Vistula and Rhine basins. Removal of point sources in the Rhine basin has caused a marked drop in the concentrations of phosphorus and ammonium nitrogen, whereas the long-term upward trend in the concentration of nitrate was broken only recently. As compared to the Vistula river, the Rhine is still in some respects more polluted. Expressed as area-specific export, the riverine load of nitrate from the Vistula basin is only about one sixth of that of the Rhine basin. The area-specific export of phosphorus is comparatively higher in the Vistula, but still only half of that of the Rhine. In addition to the lower input of nutrients in the Eastern European agriculture, the much lower runoff in the Vistula basin is an important explanation to the observed differences. Furthermore, in-stream processes, such as sedimentation of phosphorus, play an important role.
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Gerhardt, A., L. Janssens de Bisthoven, and E. Penders. "Quality Control of Drinking Water from the River Rhine with the Multispecies Freshwater Biomonitor." Aquatic Ecosystem Health & Management 6, no. 2 (April 2003): 159–66. http://dx.doi.org/10.1080/14634980301466.

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Mol, G. A. J., and A. P. Benoist. "Prediction of Sediment Quality in Catchment Areas of the River Rhine: Operation and Use of the Horizon Model." Water Science and Technology 29, no. 3 (February 1, 1994): 115–20. http://dx.doi.org/10.2166/wst.1994.0077.

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Suspended matter and sediments in the catchment areas of European rivers are often highly polluted. A forecast of sediment quality in relation to discharges is of importance in formulating policy pertaining to emission reduction and sediment sanitation. The model Horizon has been developed to predict the sediment quality in the long term under various emission reducing scenarios. The model schematics consist of a description of the Rhine, the Meuse and the large lakes and basins in The Netherlands. The model calculates the concentration of eight inorganic and five organic micro pollutants in surface water, suspended matter and the sediment under the influence of processes such as sorption, evaporation, degradation, sedimentation, resuspension and burial. The principles underlying the model, the modelled pollutants, the schematics and the modelled physical/chemical processes are briefly discussed. The model input, calibration, validation and model errors follow. The predictions show that emission reductions more far reaching than the Rhine Action Programme (RAP) are needed to meet the Quality Objective 2000,set out in the Dutch National Policy Document on Water Management.
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Moellenkamp, S. "The "WFD-effect" on upstream-downstream relations in international river basins – insights from the Rhine and the Elbe basins." Hydrology and Earth System Sciences Discussions 4, no. 3 (June 7, 2007): 1407–28. http://dx.doi.org/10.5194/hessd-4-1407-2007.

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Abstract. The upstream-downstream relationship in international river basins is a traditional challenge in water management. Water use in upstream countries often has a negative impact on water use in downstream countries. This is most evident in the classical example of industrial pollution in upstream countries hindering drinking water production downstream. The European Water Framework Directive (WFD) gives new impetus to the river basin approach and to international co-operation in European catchments. It aims at transforming a mainly water quality oriented management into a more integrated approach of ecosystem management. After discussing the traditional upstream-downstream relationship, this article shows that the WFD has a balancing effect on upstream-downstream problems and that it enhances river basin solidarity in international basins. While it lifts the downstream countries to the same level as the upstream countries, it also leads to new duties for the downstream states. Following the ecosystem approach, measures taken by downstream countries become increasingly more important. For example, downstream countries need to take measures to allow for migrating fish species to reach upstream stretches of river systems. With the WFD, fish populations receive increased attention, as they are an important indicator for the ecological status. The European Commission acquires a new role of inspection and control in river basin management, which finally also leads to enhanced cooperation and solidarity among the states in a basin. In order to achieve better water quality and to mitigate upstream-downstream problems, also economic instruments can be applied and the WFD does not exclude the possibility of making use of financial compensations, if at the same time the polluter pays principle is taken into account. The results presented in this article originate from a broader study on integrated water resources management conducted at Bonn University and refer to the Rhine and Elbe basins (Moellenkamp, 2006).
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Rodda, D. W. "The environmental programme for the Danube River Basin." Water Science and Technology 30, no. 5 (September 1, 1994): 135–45. http://dx.doi.org/10.2166/wst.1994.0232.

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The Programme has the objective of providing a regional approach to environmental management in the Danube River Basin where there is great pressure from a diverse range of human activities. Serious pollution problems exist from urban populations, from industry, and from intensive agricultural practices. Although the water quality of the main Danube river is probably better than the Rhine because of its greater flow, the same is not the case in the tributaries where there the problems are more serious. A factor which makes a compelling case for a regional approach is the deterioration of the Black Sea into which the main Danube river discharges significant loads of nutrients and a range of non-degradable contaminants. The application of limited financial resources will require fine judgement about the high priority pollution sources that will lead to cost-effective improvements. This action, and other technical assistance, also requires a considerable effort to strengthen the organisations having responsibility for environmental management, and to develop effective public participation. The paper emphasises the water pollution problems in the river basin.
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Hoogweg, P. H. A., and F. Colijn. "Management of Dutch Estuaries the Ems-Dollard and the Western Scheldt." Water Science and Technology 26, no. 7-8 (October 1, 1992): 1887–96. http://dx.doi.org/10.2166/wst.1992.0633.

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In this paper the ecological situation of two Dutch estuaries will be described in relation to efforts of the Government to maintain or restore their environmental quality. The two estuaries are the Ems-Dollard estuary and the Western Scheldt. Both form the border with Germany and Belgium respectively and therefore are a potential management problem with respect to pollution crossing the borders between the countries involved. Therefore international consultation is needed to tackle environmental problems. Both estuaries are the remaining real estuaries of the Netherlands which can be conceived as one large Delta region of the rivers Rhine, Meuse, Scheldt and Ems. Plans for the sanitation of all rivers have been proposed and are in development as e.g. the Rhine Action Plan. For the smaller rivers like the Ems and Scheldt agreements about the reduction of pollutants have been made within the framework of the North Sea ministerial conferences. The ecological values of these estuaries are diminished through pollution, resulting in a reduced biological diversity, or reduced numbers of species. At present measures are taken to improve the ecological value which is based on the former ecological situation (ten Brink et al., 1991). Besides pollution also dredging and dumping of dredged material has levelled down the biological diversity and numbers of plants and animals.
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van Vliet, M. T. H., J. R. Yearsley, W. H. P. Franssen, F. Ludwig, I. Haddeland, D. P. Lettenmaier, and P. Kabat. "Coupled daily streamflow and water temperature modelling in large river basins." Hydrology and Earth System Sciences 16, no. 11 (November 21, 2012): 4303–21. http://dx.doi.org/10.5194/hess-16-4303-2012.

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Abstract. Realistic estimates of daily streamflow and water temperature are required for effective management of water resources (e.g. for electricity and drinking water production) and freshwater ecosystems. Although hydrological and process-based water temperature modelling approaches have been successfully applied to small catchments and short time periods, much less work has been done at large spatial and temporal scales. We present a physically based modelling framework for daily river discharge and water temperature simulations applicable to large river systems on a global scale. Model performance was tested globally at 1/2 × 1/2° spatial resolution and a daily time step for the period 1971–2000. We made specific evaluations on large river basins situated in different hydro-climatic zones and characterized by different anthropogenic impacts. Effects of anthropogenic heat discharges on simulated water temperatures were incorporated by using global gridded thermoelectric water use datasets and representing thermal discharges as point sources into the heat advection equation. This resulted in a significant increase in the quality of the water temperature simulations for thermally polluted basins (Rhine, Meuse, Danube and Mississippi). Due to large reservoirs in the Columbia which affect streamflow and thermal regimes, a reservoir routing model was used. This resulted in a significant improvement in the performance of the river discharge and water temperature modelling. Overall, realistic estimates were obtained at daily time step for both river discharge (median normalized BIAS = 0.3; normalized RMSE = 1.2; r = 0.76) and water temperature (median BIAS = −0.3 °C; RMSE = 2.8 °C; r = 0.91) for the entire validation period, with similar performance during warm, dry periods. Simulated water temperatures are sensitive to headwater temperature, depending on resolution and flow velocity. A high sensitivity of water temperature to river discharge (thermal capacity) was found during warm, dry conditions. The modelling approach has potential to be used for risk analyses and studying impacts of climate change and other anthropogenic effects (e.g. thermal pollution, dams and reservoir regulation) on large rivers.
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van Vliet, M. T. H., J. R. Yearsley, W. H. P. Franssen, F. Ludwig, I. Haddeland, D. P. Lettenmaier, and P. Kabat. "Coupled daily streamflow and water temperature modelling in large river basins." Hydrology and Earth System Sciences Discussions 9, no. 7 (July 6, 2012): 8335–74. http://dx.doi.org/10.5194/hessd-9-8335-2012.

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Abstract. Realistic estimates of daily streamflow and water temperature are required for effective management of water resources (e.g. electricity and drinking water production) and freshwater ecosystems. Although hydrological and process-based water temperature modelling approaches have been successfully applied to small catchments and short time periods, much less work has been done at large spatial and temporal scales. We present a physically-based modelling framework for daily river discharge and water temperature simulations applicable to large river systems on a global scale. Model performance was tested globally at 1/2° × 1/2° spatial resolution and a daily time step for the period 1971–2000. We made specific evaluations on large river basins situated in different hydro-climatic zones and characterized by different anthropogenic impacts. Effects of anthropogenic heat discharges on simulated water temperatures were incorporated by using global gridded thermoelectric water use data sets and representing thermal discharges as point sources into the heat-advection equation. This resulted in a significant increase in the quality of the water temperature simulations for thermally polluted basins (Rhine, Meuse, Danube and Mississippi). Due to large reservoirs in the Columbia which affect streamflow and thermal regimes, a reservoir routing model was used. This resulted in a significant improvement in the performance of the river discharge and water temperature modelling. Overall, realistic estimates were obtained at daily time step for both river discharge (median normalized BIAS = 0.3; normalized RMSE = 1.2; r = 0.76) and water temperature (median BIAS = −0.3 °C; RMSE = 2.8 °C; r = 0.91) for the entire validation period, with similar performance during warm, dry periods. Simulated water temperatures are sensitive to headwater temperature, depending on resolution and flow velocity. A high sensitivity of water temperature to river discharge (thermal capacity) was found during warm, dry conditions. The modelling approach has potential to be used for risk analyses and studying impacts of climate change and other anthropogenic effects (e.g. thermal pollution, dams and reservoir regulation) on large rivers.
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Dissertations / Theses on the topic "Water quality management – Rhine River"

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Norreys, Richard. "Water quality river impact model (RIM) for river basin management." Thesis, University of Salford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305863.

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Cheung, Sheung-ching. "Transboundary water pollution between Hong Kong and the Pearl River Delta Region : Dongjiang River as a case study /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25247645.

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Griffiths, Ian Martin. "Automatic river quality monitoring." Thesis, Brunel University, 1991. http://bura.brunel.ac.uk/handle/2438/7870.

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Automatic river quality monitoring (ARQM) is potentially an important tool in water quality management for the National Rivers Authority (NRA) and similar organisations worldwide. The information produced by ARQM systems must be used in the most effective way and fully integrated with the manual monitoring effort. The status and development of ARQM systems in the freshwater and estuarine River Thames catchment are discussed and a practical appraisal of the design, operation and maintenance requirements given. Data capture, verification and presentation methods are developed and the use of ARQM data for real time management and subsequent analysis is advocated. Examples of data from the freshwater ARQM system are given which emphasise the variability of freshwater quality and the need for a comprehensive understanding of the behaviour of rivers before management decisions are made. The use of ARQM data for assessing the compliance of rivers with River Quality Objectives is examined. With respect to the tidal Thames, data processing methods to correct for the tidal movement of the waterbody are developed. ARQM data are used to highlight the principal factors affecting the water quality of the tidal Thames. The importance of the use of ARQM information in the effective management of the tidal Thames is discussed and operational examples demonstrate how it may be utilised as a basis for management decisions. The application of ARQM to the sub-tropical environment of the River Ganges, India, is investigated. An ARQM system has been designed and prototypes are operational. Extensive site surveys were carried out and the water quality status of the Ganges is discussed. Recommendations for the improvement and future development of ARQM systems are made. The use of ARQM information and its potential for improving the management of rivers is discussed.
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Cheng, Man-shun. "A review of river water quality in Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20042176.

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Andrish, Sean David, and Sean David Andrish. "Water quality management in the Quinnipiac River Basin, Connecticut." Thesis, The University of Arizona, 1997. http://hdl.handle.net/10150/626903.

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The Quinnipiac River Basin, located in South-Central Connecticut, flows 38 miles from its headwaters in New Britain and Plainville, Connecticut to its mouth in New Haven Harbor. The basin is heavily developed, with the majority of the land in the basin classified as residential and urban. The five municipal water pollution control facilities and one large privately-owned water pollution control facility operating in the Quinnipiac Basin are responsible for maintaining acceptable levels of water quality in the Quinnipiac River. While the current water quality management practices within the Quinnipiac River basin are capable of meeting the various water quality standards, changes in the water quality management system may require an adjustment or alteration of the current management practices. The focus of this study is the identification of possible improvements to the current water resources management practices in the Quinnipiac Basin and a discussion of the feasibility of the proposed improvements.
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Maeda, Shigeya. "Optimization of wasteload allocation for river water quality management." Kyoto University, 2002. http://hdl.handle.net/2433/78139.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(農学)
甲第9623号
農博第1251号
新制||農||843(附属図書館)
学位論文||H14||N3655(農学部図書室)
UT51-2002-G381
京都大学大学院農学研究科地域環境科学専攻
(主査)教授 河地 利彦, 教授 青山 咸康, 教授 高橋 強
学位規則第4条第1項該当
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Lindenschmidt, Karl-Erich. "River water quality modelling for river basin and water resources management with a focus on the Saale River, Germany." [Potsdam] : [Bibliothek des Wissenschaftsparks Albert Einstein], 2006. http://deposit.d-nb.de/cgi-bin/dokserv?idn=981609600.

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Boitsidis, Periklis. "Aspects of water quality management in an urban river : the Upper River Tame." Thesis, University of Birmingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404172.

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This research addresses the mechanistic behaviour of urban catchments, particularly under the effects of rainfall, using the case study of the River Tame in West Midlands. The catchment response in wet weather is dominated by combined sewer overflow (CSO) discharges into the river, causing water quality deterioration. Severe dissolved oxygen depletions often occur resulting in exceedence of fundamental intermittent standards; high ammonia values are also induced but un-ionised ammonia is constrained by the prevailing neutral pH. The five most dominant responses of ammonia to rainfall are identified based on antecedent dry period, the magnitude and timing of ammonia peaks, the initial rainfall intensity gradient and the patterns of rainfall intensity. Field studies support data analysis of the historic database and establish a temporal picture of BOD during storms. Simulation of river flow and water quality in low flow and storm conditions is achieved by employing MIKE 11, a deterministic mathematical model, with variable fidelity due to temporal and spatial variability of inputs. The model is tested as part of a decision support system for river water quality management. Simulations of various management schemes indicate that real time CSO control and on-line storage cannot guarantee water quality improvements and that on-line storage can be useful in combating excessively high pollutant concentrations.
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Thoe, Wai. "Integrated river management of the East River field studies, hydrologic and water quality modelling /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38997575.

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Momoh, Jinnah Samuel. "Decision support system for river water quality forecasting and management." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246651.

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Books on the topic "Water quality management – Rhine River"

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Hunt, Constance Elizabeth. Mississippi/Rhine exchange. Washington, D.C: World Wildlife Fund, 1997.

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River water quality monitoring. Chelsea, Mich: Lewis Publishers, 1985.

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Montana. Department of Fish, Wildlife, and Parks. Smith River management plan. [Place of publication not identified]: The Dept., 1988.

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Deamer, Nora. Roanoke River basinwide water quality plan. Raleigh, N.C: Dept. of Environment and Natural Resources, Division of Water Quality, 2006.

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Raquet, Michelle. New River basinwide water quality plan. Raleigh, N.C: NC Dept. of Environment & Natural Resources, Division of Water Quality, 2005.

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North Carolina. Division of Water Quality. Water Quality Section. New River basinwide water quality plan. Raleigh, N.C: The Section, 2000.

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Raquet, Michelle. Watauga River basinwide water quality plan. Raleigh, N.C: NC Department of Environment & Natural Resources, Division of Water Quality, 2007.

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Toronto Area Watershed Management Strategy Steering Committee (Ont.). Humber River water quality management plan, 1986. Toronto: Ministry of the Environment, 1986.

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Canada, Canada Environment, and Sask Water, eds. South Saskatchewan River Basin study. Regina, Sask: Environment Canada, 1992.

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A, Flanders Richard, Kline Michael, New Hampshire. Dept. of Environmental Services., and Vermont. Dept. of Environmental Conservation., eds. Connecticut River water quality assessment report. Concord, N.H: New Hampshire Dept. of Environmental Services, 1994.

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Book chapters on the topic "Water quality management – Rhine River"

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Herzog, Laura Mae Jacqueline, and Karin Ingold. "Collaboration in Water Quality Management: Differences in Micro-Pollutant Management Along the River Rhine." In Networks in Water Governance, 203–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46769-2_8.

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Gieskes, W. W. C., and B. E. M. Schaub. "Correlation of the Seasonal and Annual Variation of Phytoplankton Biomass in Dutch Coastal Waters of the North Sea with Rhine River Discharge." In Estuarine Water Quality Management, 311–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75413-5_46.

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Gieskes, W. W. C., and B. E. M. Schaub. "Correlation of the seasonal and annual variation of phytoplankton biomass in Dutch coastal waters of the North Sea with Rhine River discharge." In Estuarine Water Quality Management Monitoring, Modelling and Research, 311–20. Washington, D. C.: American Geophysical Union, 1990. http://dx.doi.org/10.1029/ce036p0311.

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Wang, Zhao-Yin, Joseph H. W. Lee, and Charles S. Melching. "Water Quality Management." In River Dynamics and Integrated River Management, 555–631. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-25652-3_10.

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Makowski, Marek, and László Somlyódy. "River Basin Water Quality Management." In Model-Based Decision Support Methodology with Environmental Applications, 311–32. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9552-0_12.

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Allan, R. J. "Chlorophenolics in the Fraser River and Estuary." In Estuarine Water Quality Management, 449–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75413-5_66.

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Webster, Jackson R., Ernest F. Benfield, Kristen K. Cecala, John F. Chamblee, Carolyn A. Dehring, Ted Gragson, Jeffrey H. Cymerman, et al. "Water Quality and Exurbanization in Southern Appalachian Streams." In River Conservation and Management, 91–106. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119961819.ch8.

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Nilkens, B., F. Schlaeger, and J. Köngeter. "Application of the Integrated Water Management Approach to the River Spree." In Water Resources Quality, 215–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56013-2_12.

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Novotny, Vladimir, and Andrea Capodaglio. "Use of Water Quality Models." In Remediation and Management of Degraded River Basins, 35–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57752-9_2.

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Habel, Michał, Dawid Szatten, Zygmunt Babiński, and Grzegorz Nadolny. "Sediment Management in River Basins: An Essential Element of the River Basin Management Plans." In Quality of Water Resources in Poland, 263–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64892-3_12.

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Conference papers on the topic "Water quality management – Rhine River"

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Christoffels, E. "Online water quality monitoring: a network to support water management in the Erft river basin." In RIVER BASIN MANAGEMENT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/rbm130341.

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Barros, M. L. C., P. C. C. Rosman, and J. C. F. Telles. "Water quality modelling in tidal wetlands considering flooding and drying processes." In RIVER BASIN MANAGEMENT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/rbm130351.

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Ashby, S. "Impacts of hydrology and hydropower on water quality in reservoir tailwaters." In RIVER BASIN MANAGEMENT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/rm090061.

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Sun, Pengcheng, Jining Chen, and Siyu Zeng. "Risk-Based Water Quality Management in River System." In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering. IEEE, 2008. http://dx.doi.org/10.1109/icbbe.2008.1169.

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PANDAN, MARY ANN, VINCENZO NADDEO, TIZIANO ZARRA, VINCENZO BELGIORNO, and FLORENCIO BALLESTEROS, JR. "ODOUR EMISSION CAPACITY AS A SURROGATE PARAMETER FOR THE ASSESSMENT OF RIVER WATER QUALITY." In RIVER BASIN MANAGEMENT 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/rbm170051.

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Guo, Jun-Hong, Ru-Bing Zheng, Guo-He Huang, and Yong-Ping Li. "Study of River Water Quality Management Expert System — A Xiangxi River Case." In 2015 International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814723008_0115.

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Gholikandi, G. Badalians, E. Jalilzadeh, H. R. Orumieh, and H. R. Tashaouie. "Determination of thermal stratification and its effects on water quality in dams using analytical methods." In RIVER BASIN MANAGEMENT 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/rm110321.

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Kerachian, R., M. Karamouz, and A. Vejdan Naseri. "River Water Quality Management: Application of Stochastic Genetic Algorithm." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)437.

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Thuong, N. T., M. Yoneda, and Y. Matsui. "Initial improvement of a sewage system after embankment: a combined index of water and sediment quality." In RIVER BASIN MANAGEMENT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/rbm130371.

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Widyastuti, Indri, and Suntoyo. "Modelling Water Quality in Welang River Estuary, Pasuruan." In The 7th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0010218702750280.

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Reports on the topic "Water quality management – Rhine River"

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Desiderati, Christopher. Carli Creek Regional Water Quality Project: Assessing Water Quality Improvement at an Urban Stormwater Constructed Wetland. Portland State University, 2022. http://dx.doi.org/10.15760/mem.78.

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Stormwater management is an ongoing challenge in the United States and the world at-large. As state and municipal agencies grapple with conflicting interests like encouraging land development, complying with permits to control stormwater discharges, “urban stream syndrome” effects, and charges to steward natural resources for the long-term, some agencies may turn to constructed wetlands (CWs) as aesthetically pleasing and functional natural analogs for attenuating pollution delivered by stormwater runoff to rivers and streams. Constructed wetlands retain pollutants via common physical, physicochemical, and biological principles such as settling, adsorption, or plant and algae uptake. The efficacy of constructed wetlands for pollutant attenuation varies depending on many factors such as flow rate, pollutant loading, maintenance practices, and design features. In 2018, the culmination of efforts by Clackamas Water Environment Services and others led to the opening of the Carli Creek Water Quality Project, a 15-acre constructed wetland adjacent to Carli Creek, a small, 3500-ft tributary of the Clackamas River in Clackamas County, OR. The combined creek and constructed wetland drain an industrialized, 438-acre, impervious catchment. The wetland consists of a linear series of a detention pond and three bioretention treatment cells, contributing a combined 1.8 acres of treatment area (a 1:243 ratio with the catchment) and 3.3 acre-feet of total runoff storage. In this study, raw pollutant concentrations in runoff were evaluated against International Stormwater BMP database benchmarks and Oregon Water Quality Criteria. Concentration and mass-based reductions were calculated for 10 specific pollutants and compared to daily precipitation totals from a nearby precipitation station. Mass-based reductions were generally higher for all pollutants, largely due to runoff volume reduction on the treatment terrace. Concentration-based reductions were highly variable, and suggested export of certain pollutants (e.g., ammonia), even when reporting on a mass-basis. Mass load reductions on the terrace for total dissolved solids, nitrate+nitrite, dissolved lead, and dissolved copper were 43.3 ± 10%, 41.9 ± 10%, 36.6 ± 13%, and 43.2 ± 16%, respectively. E. coli saw log-reductions ranging from -1.3 — 3.0 on the terrace, and -1.0 — 1.8 in the creek. Oregon Water Quality Criteria were consistently met at the two in-stream sites on Carli Creek for E. coli with one exception, and for dissolved cadmium, lead, zinc, and copper (with one exception for copper). However, dissolved total solids at the downstream Carli Creek site was above the Willamette River guidance value 100 mg/L roughly 71% of the time. The precipitation record during the study was useful for explaining certain pollutant reductions, as several mechanisms are driven by physical processes, however it was not definitive. The historic rain/snow/ice event in mid-February 2021 appeared to impact mass-based reductions for all metals. Qualitatively, precipitation seemed to have the largest effect on nutrient dynamics, specifically ammonia-nitrogen. Determining exact mechanisms of pollutant removals was outside the scope of this study. An improved flow record, more targeted storm sampling, or more comprehensive nutrient profiles could aid in answering important questions on dominant mechanisms of this new constructed wetland. This study is useful in establishing a framework and baseline for understanding this one-of-a-kind regional stormwater treatment project and pursuing further questions in the future.
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Cram, Jana, Mary Levandowski, Kaci Fitzgibbon, and Andrew Ray. Water resources summary for the Snake River and Jackson Lake Reservoir in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway: Preliminary analysis of 2016 data. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2285179.

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This report summarizes discharge and water quality monitoring data for the Snake River and Jackson Lake reservoir levels in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway for calendar year 2016. Annual and long-term discharge summaries and an evaluation of chemical conditions relative to state and federal water quality standards are presented. These results are considered provisional, and may be subject to change. River Discharge: Hydrographs for the Snake River at Flagg Ranch, WY, and Moose, WY, exhibit a general pattern of high early summer flows and lower baseflows occurring in late summer and fall. During much of 2016, flows at the Flagg Ranch monitoring location were similar to the 25th percentile of daily flows at that site. Peak flows at Flagg Ranch were similar to average peak flow from 1983 to 2015 but occurred eleven days earlier in the year compared to the long-term average. Peak flows and daily flows at the Moose monitoring station were below the long-term average. Peak flows occurred four days later than the long-term average. During summer months, the unnatural hydro-graph at the Moose monitoring location exhibited signs of flow regulation associated with the management of Jackson Lake. Water Quality Monitoring in the Snake River: Water quality in the Snake River exhibited seasonal variability over the sampling period. Specifically, total iron peaked during high flows. In contrast, chloride, sulfate, sodium, magnesium, and calcium levels were at their annual minimum during high flows. Jackson Lake Reservoir: Reservoir storage dynamics in Jackson Lake exhibit a pattern of spring filling associated with early snowmelt runoff reaching maximum storage in mid-summer (on or near July 1). During 2016, filling water levels and reservoir storage began to increase in Jackson Lake nearly two weeks earlier than the long-term average and coincident with increases in runoff-driven flows in the Snake River. Although peak storage in Jackson Lake was larger and occurred earlier than the long-term average, minimum storage levels were similar to the long-term average.
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Albright, Jeff, Kim Struthers, Lisa Baril, John Spence, Mark Brunson, and Ken Hyde. Natural resource conditions at Glen Canyon National Recreation Area: Findings & management considerations for selected resources. National Park Service, April 2022. http://dx.doi.org/10.36967/nrr-2293112.

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Glen Canyon National Recreation Area (GLCA) encompasses more than 0.5 million ha (1.25 million ac) and extends over 322 km (200 mi) from its northern boundary in southern Utah to its southern boundary in northern Arizona. It is one of the most rugged, remote, and floristically diverse national parks on the Southern Colorado Plateau (Thomas et. al 2005) and has more than 4,900 km (3,045 mi) of waterways flowing through its eight Hydrologic Unit Code (HUC 8) watersheds. GLCA’s larger perennial rivers include the Colorado, Escalante, Dirty Devil, San Juan, and Paria, with smaller perennial and intermittent streams flowing into each of these rivers. After the creation of the Glen Canyon Dam, Lake Powell formed, covering 13% of the park’s total land area when full and the national recreation area attracts over 4 million visitors annually, and in 2019 GLCA ranked 19th highest in recreational visits out of all national parks. The National Park Service Natural Resource Condition Assessment Program selected GLCA to pilot its new NRCA project series. NRCA projects evaluate the best available science to provide park managers with reliable, actionable information pertaining to natural resource conditions in their park. For the park-selected focal study resources, this includes consideration of drivers and stressors known or suspected of influencing resource conditions; assessment of current conditions and trends for indicators of condition; and potential near-term and future activities or actions managers can consider, improving their knowledge and management of natural resources in parks. For focal resources that lack adequate data to assess current conditions, a gap analysis is provided (in lieu of a condition assessment) to highlight the present status of knowledge of the resource and to suggest useful indicators, data, and studies for further consideration and investigation. Park managers are encouraged to identify information needs and pose questions during the NRCA scoping process, with the understanding that information will be provided to help address those needs and answer those questions when possible. For a comprehensive list of GLCA managers’ questions and needs, please refer to Appendix A, Table A-1. The focus of GLCA’s NRCA study was the water-dependent resources—tinajas, springs & seeps, including water quality, riparian zone, amphibians, including the northern leopard frog (Lithobates pipiens), and small, native fishes—that are found off the mainstem Colorado River. Managers were interested in these particular environments and the natural resources that depend on them because they are less studied, and the habitats are “biodiversity hotspots” due to the intersection of complex desert and freshwater ecosystems in a region limited by water. The following summaries highlight the key findings of GLCA’s focal resource drivers and stressors (Chapter 2), states (Chapter 3), and manager responses (Chapter 4).
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Johnson, Billy, and Zhonglong Zhang. The demonstration and validation of a linked watershed-riverine modeling system for DoD installations : user guidance report version 2.0. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40425.

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A linked watershed model was evaluated on three watersheds within the U.S.: (1) House Creek Watershed, Fort Hood, TX; (2) Calleguas Creek Watershed, Ventura County, CA; and (3) Patuxent River Watershed, MD. The goal of this demonstration study was to show the utility of such a model in addressing water quality issues facing DoD installations across a variety of climate zones. In performing the demonstration study, evaluations of model output with regards to accuracy, predictability and meeting regulatory drivers were completed. Data availability, level of modeling expertise, and costs for model setup, validation, scenario analysis, and maintenance were evaluated in order to inform installation managers on the time and cost investment needed to use a linked watershed modeling system. Final conclusions were that the system evaluated in this study would be useful for answering a variety of questions posed by installation managers and could be useful in developing management scenarios to better control pollutant runoff from installations.
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Water-quality and algal conditions in the Clackamas River basin, Oregon, and their relations to land and water management. US Geological Survey, 2003. http://dx.doi.org/10.3133/wri024189.

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Water-quality and algal conditions in the North Umpqua River basin, Oregon, 1992-95, and indications for resource management. US Geological Survey, 1998. http://dx.doi.org/10.3133/wri984125.

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Assessment of water quality, nutrients, algal productivity, and management alternatives for low-flow conditions, South Umpqua River basin, Oregon, 1990-92. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri964082.

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Evaluation of agricultural best-management practices in the Conestoga River headwaters, Pennsylvania : characterization of surface-runoff and ground-water quantity and quality in a small carbonate basin near Churchtown, Pennsylvania, prior to terracing and implementation of nutrient management : water-quality study of the Conestoga River headwaters, Pennsylvania. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri934119.

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Evaluation of agricultural best-management practices in the Conestoga River headwaters, Pennsylvania; effects of nutrient management on water quality in the Little Conestoga Creek headwaters, 1983-89. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri954046.

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Evaluation of agricultural best-management practices in the Conestoga River headwaters, Pennsylvania; description and water quality of the Little Conestoga Creek headwaters prior to the implementation of nutrient management. US Geological Survey, 1992. http://dx.doi.org/10.3133/wri904131.

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