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Journal articles on the topic 'Water quality dynamic models'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Cardwell, Hal, and Hugh Ellis. "Stochastic dynamic programming models for water quality management." Water Resources Research 29, no. 4 (1993): 803–13. http://dx.doi.org/10.1029/93wr00182.

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2

Mannina, Giorgio, and Gaspare Viviani. "A parsimonious dynamic model for river water quality assessment." Water Science and Technology 61, no. 3 (2010): 607–18. http://dx.doi.org/10.2166/wst.2010.865.

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Water quality modelling is of crucial importance for the assessment of physical, chemical, and biological changes in water bodies. Mathematical approaches to water modelling have become more prevalent over recent years. Different model types ranging from detailed physical models to simplified conceptual models are available. Actually, a possible middle ground between detailed and simplified models may be parsimonious models that represent the simplest approach that fits the application. The appropriate modelling approach depends on the research goal as well as on data available for correct mod

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3

da Costa Cantos Jerônimo, Gabriel, Luiz Felipe Ramos Turci, Paulo Augusto Zaitune Pamplin, and Patrícia Neves Mendes. "Modelagem otimizada de indicadores biológicos de qualidade da água." Revista DAE 221, no. 68 (2019): 131–41. http://dx.doi.org/10.36659/dae.2020.011.

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Resumo 27/06/2018 DOI: https://doi.org/10.36659 /dae.2020.011 Turci, L. F. R Pamplin, P. A. Z https://orcid.org/0000-0001-7516-0963 https://orcid.org/0000-0001-7318-9121 O estudo de plantas aquáticas (macrófitas) é importante, uma vez que essas plantas apresentam potencial de utilização em estudos de ecotoxicologia, como bioindicadores no tratamento de águas residuárias. A mode- lagem criteriosa do crescimento dessas plantas, especificamente a Lemna minor, é útil na determinação das condições de otimização dessas aplicações; assim, deseja-se sempre obter o modelo que melhor represente a dinâmi

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4

Anderson, Terry L. "Dynamic Markets for Dynamic Environments: The Case for Water Marketing." Daedalus 144, no. 3 (2015): 83–93. http://dx.doi.org/10.1162/daed_a_00344.

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Static models used in economics and ecology ignore dynamic processes at work in both human and natural systems. In the case of water management, whether for quantity or quality, static models fail to connect changing human demands on water systems with changing supplies due to short-run climate variations and long-run climate change. Water markets provide a way of connecting human demands to nature's supplies through prices, which signal values and scarcity. For water markets to make this connection, water rights must be well-defined, enforced, and tradeable. When they are, entrepreneurs are a

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Zeng, Weibo, Youpeng Xu, Xiaojun Deng, Longfei Han, and Qianyu Zhang. "Dynamic simulation of water resources in an urban wetland based on coupled water quantity and water quality models." Water Science and Technology 72, no. 10 (2015): 1762–73. http://dx.doi.org/10.2166/wst.2015.396.

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Water quality in wetlands plays a huge role in maintaining the health of the wetland ecosystem. Water quality should be controlled by an appropriate water allocation policy for the protection of the wetlands. In this paper, models of rainfall/runoff, non-point source pollution load, water quantity/quality, and dynamic pollutant-carrying capacity were established to simulate the water quantity/quality of Xixi-wetland river network (in the Taihu basin, China). The simulation results showed a satisfactory agreement with field observations. Furthermore, a ‘node-river-node’ algorithm that adjusts t

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Lobbrecht, A. H. "Design of rural water systems using dynamic models." Water Science and Technology 39, no. 4 (1999): 221–31. http://dx.doi.org/10.2166/wst.1999.0209.

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The properties of main water ways and infrastructure of rural water systems are often determined by very general design methods. These methods are based on standards that use only little information of the actual water system. Most design methods applied in the Netherlands are based on land use and soil texture. Standards have been developed on the basis of generalized properties of water systems. Details of the actual layout of the water system and the way in which that system is controlled, are usually not incorporated. Present-day dynamic simulation programs and the computer power currently

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Dogo, Eustace M., Nnamdi I. Nwulu, Bhekisipho Twala, and Clinton Aigbavboa. "Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection." Symmetry 13, no. 5 (2021): 818. http://dx.doi.org/10.3390/sym13050818.

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Automatic anomaly detection monitoring plays a vital role in water utilities’ distribution systems to reduce the risk posed by unclean water to consumers. One of the major problems with anomaly detection is imbalanced datasets. Dynamic selection techniques combined with ensemble models have proven to be effective for imbalanced datasets classification tasks. In this paper, water quality anomaly detection is formulated as a classification problem in the presences of class imbalance. To tackle this problem, considering the asymmetry dataset distribution between the majority and minority classes,

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Osidele, O. O., W. Zeng, and M. B. Beck. "A random search methodology for examining parametric uncertainty in water quality models." Water Science and Technology 53, no. 1 (2006): 33–40. http://dx.doi.org/10.2166/wst.2006.005.

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The advent of the modern high-speed digital computer has tremendously enhanced the utility of Monte Carlo methods for evaluating complex environmental simulation models. In particular, random searching is becoming popular, as thousands of model runs can now be executed quickly and with minimal effort. Indeed, the issues of computational burden and inefficiency, hitherto the bane of random searching, are now receding. This paper presents one such method, uniform covering by probabilistic rejection (UCPR), which combines a pure random search with a probabilistic rejection algorithm that signific

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9

Parker, G. T. "QualViz: a tool for visual representation of water quality models." Water Science and Technology 63, no. 1 (2011): 171–77. http://dx.doi.org/10.2166/wst.2011.028.

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As water quality models and their implementation have become increasingly diverse, complex and proprietary, a need for more thorough understanding of the differences between each alternative arises. The work presented here proposes a novel visualization paradigm for water quality applications which can be used to understand difference between implementations of identical and different conceptual models. A proof-of-concept visualization tool was developed and tested again three scenarios for four different conceptual models of biochemical kinetics. Results show representative figures illustrati

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Beck, M. B., A. J. Adeloye, B. A. Finney, and P. Lessard. "Operational Water Quality Management: Transient Events and Seasonal Variability." Water Science and Technology 24, no. 6 (1991): 257–65. http://dx.doi.org/10.2166/wst.1991.0164.

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The practical urgency of addressing problems of the transient pollution of receiving waters by stormwater overflows has done much to assist in dismantling the restrictive assumption of a steady state that has until recently dominated analyses of water quality management. Despite this, however, there are still misconceptions about the complexity and data requirements of dynamic mathematical models, and about the capacity to exercise operational control over the hour-by-hour, day-by-day performance of a wastewater treatment plant. The paper reviews some of these misconceptions, and draws attenti

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Springthorpe, S., M. Sander, K. Nolan, and S. A. Sattar. "Comparison of static and dynamic disinfection models for bacteria and viruses in water of varying quality." Water Science and Technology 43, no. 12 (2001): 147–54. http://dx.doi.org/10.2166/wst.2001.0727.

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Disinfection studies rarely use natural waters due to demands exerted on the applied disinfectants and lack of consistent disinfectant residuals. This study compared the degree of disinfection achieved in natural waters between conventional batch (static) models and a system of similar volume where disinfectant residuals were maintained at constant levels (dynamic). In the latter, disinfectant was delivered through a hollow fibre cartridge from a slipstream of a full-scale (chloramine) or pilot (chlorine) water treatment plant. The test organisms (hepatitis A virus, poliovirus, MS-2, Mycobacte

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De Keyser, W., V. Gevaert, F. Verdonck, et al. "Combining multimedia models with integrated urban water system models for micropollutants." Water Science and Technology 62, no. 7 (2010): 1614–22. http://dx.doi.org/10.2166/wst.2010.475.

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Integrated urban water system (IUWS) modeling aims at assessing the quality of the surface water receiving the urban emissions through sewage treatment plants, combined sewer overflows (CSOs) and stormwater drainage systems. However, some micropollutants tend to appear in more than one environmental medium (air, water, sediment, soil, groundwater, etc.). In this work, a multimedia fate and transport model (MFTM) is “wrapped around” a dynamic IUWS model for organic micropollutants to enable integrated environmental assessment. The combined model was tested on a hypothetical catchment using two

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13

Qian, Song S. "Water quality model structure identification using dynamic linear modeling: river cam case study revisited." Water Science and Technology 36, no. 5 (1997): 27–34. http://dx.doi.org/10.2166/wst.1997.0158.

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This paper investigates the use of dynamic linear modeling and maximum likelihood estimator for water quality model structure identification. In addition to the posterior trajectories of model's parameters, the proposed method also examines the trajectory of the estimated prediction error variance. The premise is that the model predictability should be improved as we move down in a time series. If absurd variation in either the trajectories of model's parameter or the trajectory of the model's prediction error variance is observed, the adequacy of the candidate model should be questioned. This

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Dreizis, Y. I. "Modelling of water quality management in the sea coastal zone." E3S Web of Conferences 224 (2020): 02001. http://dx.doi.org/10.1051/e3sconf/202022402001.

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Coastal territories are one of the most dynamically developing regions. Sea resorts focused on recreational and tourist activities are developing especially quickly. For such territories, their ecological status, especially the quality of coastal zone water resources, plays an important role in their sustainable development. Analysis of physical factors of water exchange and assessment of water resources quality of the coastal zone of the sea, including in closed and semi-enclosed water areas, was carried out. It has been shown that water exchange is the most important factor in the management

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Schoumans, O. F., J. Mol-Dijkstra, L. M. W. Akkermans, and C. W. J. Roest. "SIMPLE: Assessment of non-point phosphorus pollution from agricultural land to surface waters by means of a new methodology." Water Science and Technology 45, no. 9 (2002): 177–82. http://dx.doi.org/10.2166/wst.2002.0233.

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In the past, environmental Phosphorus (P) parameters like soil P indices have been used to catogorize the potential risk of P losses from agricultural land. In order to assess the actual risk of P pollution of groundwater and surface waters, dynamic process oriented soil and water quality models have been frequently used. Recently, an approximating model for phosphorus, called SIMPLE, has been developed. This model approximates the output from a complex dynamic water quality model. The approximating model is called a metamodel. This simple P-model proves to be a powerful tool for quick assessm

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Dreizis, Yuriy. "Water quality management in the coastal zone of the sea." E3S Web of Conferences 215 (2020): 04003. http://dx.doi.org/10.1051/e3sconf/202021504003.

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Sea resort areas are currently one of the most successful developing regions. At the same time, the ecological condition of such regions is important, especially those that specialize in the provision of recreational and tourist services. The quality of coastal water resources played an important role in the sustainable development of those coastal tourist areas. Analysis of physical factors of water exchange was carried out and assessment of water resources quality of the coastal zone of the sea was made, including in closed and semi-enclosed water areas. It has been shown that water exchange

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Head, R., D. Shepherd, G. Butt, and G. Buck. "OTTER mathematical process simulation of potable water treatment." Water Supply 2, no. 1 (2002): 95–101. http://dx.doi.org/10.2166/ws.2002.0012.

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Process modelling has been used for many years in the chemical engineering field and more recently has become well established for as a tool for analysing and optimising the performance of wastewater treatment works. In the clean water area, models are routinely used for simulating distribution networks. In contrast, however, the use of modelling tools on potable water treatment works is relatively new and has yet to become well established. A range of tools have been suggested, including artificial neural networks, computational fluid dynamics and process simulation. WRc have developed a dyna

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18

Zhao, Jun, Juliang Jin, Xiaomin Zhang, and Yaqian Chen. "Dynamic risk assessment model for water quality on projection pursuit cluster." Hydrology Research 43, no. 6 (2012): 798–807. http://dx.doi.org/10.2166/nh.2012.095.

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With the aim of reducing the losses from water pollution, a dynamic risk assessment model for water quality is studied in this paper. This model is built on the projection pursuit cluster principle and risk indexes in the complex system, proceeding from the whole structure and its component parts. In this paper, the fuzzy analytic hierarchy process is used to screen out index system and determine index weight, while the further value of an index is simulated by hydrological model. The proposed model adopts the comprehensive dynamic evaluation method to analyze the time dimension data, and eval

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19

Beck, M. B., and A. Reda. "IDENTIFICATION AND APPLICATION OF A DYNAMIC MODEL FOR OPERATIONAL MANAGEMENT OF WATER QUALITY." Water Science and Technology 30, no. 2 (1994): 31–41. http://dx.doi.org/10.2166/wst.1994.0026.

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The paper summarises recent progress in a long-term programme of research on an integrated approach to the management, md real-time control of water quality in river basins. The focus of this progrmnme is the development, md application of simulation models for the dynamic behaviour of wastewater treatment plants, and in-stream water quality. The model for the latter is based on a multiple continuously stirred tank reactor (MCSTR) approximation of fluid and solute propagation along a river system. Results are presented for the identification (calibration) of this model with reference to field

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Liu, Baoling, Gang Li, Hong You, Mingrui Sui, and Shutao Wang. "Evaluation of dynamic groundwater quality simulation based on Cloud-GIS: a case study in Harbin urban area, China." Water Supply 14, no. 6 (2014): 1095–104. http://dx.doi.org/10.2166/ws.2014.070.

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This paper consists of two parts. The first part addresses the joint modeling of both spatial and temporal elements to perform dynamic evaluation of groundwater quality. In this part, a grey prediction method was used to predict missing values and then, on the basis of an entropy-weighting method, to build a dynamic weight model which continually changes with time; finally, a fuzzy evaluation method was used to evaluate groundwater quality. MATLAB was used to integrate these mathematical models. The second part describes the construction of a dynamic simulation platform which integrated mathem

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21

Pothof, I. W. M., and E. J. M. Blokker. "Dynamic hydraulic models to study sedimentation in drinking water networks in detail." Drinking Water Engineering and Science Discussions 5, no. 1 (2012): 121–37. http://dx.doi.org/10.5194/dwesd-5-121-2012.

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Abstract. Sedimentation in drinking water networks can lead to discolouration complaints. A sufficient criterion to prevent sedimentation in drinking water networks is a daily maximum velocity of 0.25 m s−1. Flushing experiments have shown that this criterion is a sufficient condition for a clean network, but not a necessary condition. Drinking water networks include many locations with a maximum velocity well below 0.25 m s−1 without sediment. Other criteria need to be developed to predict which locations are susceptible to sedimentation and to prevent sedimentation in future networks. More d

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22

Bash, Jesse O., Patricia Bresnahan, and David R. Miller. "Dynamic Surface Interface Exchanges of Mercury: A Review and Compartmentalized Modeling Framework." Journal of Applied Meteorology and Climatology 46, no. 10 (2007): 1606–18. http://dx.doi.org/10.1175/jam2553.1.

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Abstract This paper presents a review of recent natural surface mercury exchange research in the context of a new modeling framework. The literature indicates that the mercury biogeochemical flux is more dynamic than the current models predict, with interacting multimedia storage and processes. Although several natural mercury emissions models have been created and incorporated into air quality models (AQMs), none are coupled with air quality models on a mass balance basis, and all lack the capacity to explain processes that involve the transport of mercury across atmosphere–surface media conc

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Gomes, Leonaldo Silva, Francisco Alexandre A. Souza, Ricardo Silva Thé Pontes, Tobias R. Fernandes Neto, and Rui Alexandre M. Araújo. "Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models." International Journal of Computational Intelligence and Applications 14, no. 03 (2015): 1550013. http://dx.doi.org/10.1142/s1469026815500133.

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A common step in most of water treatment plants is the chemical coagulation. The chemical coagulation is the process of destabilizing the colloidal particles suspended in raw water by the addition of coagulants. Generally, the determination of the quantity of coagulant to be added to water is made manually by jar tests. However, the manual control has slow response to changes of raw water and it requires intensive laboratory analysis. To reduce the manual effort and to improve the response to change in raw water quality, this work proposes the determination of the coagulant dosage using dynami

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Shortle, James, David Abler, Zach Kaufman, and Katherine Y. Zipp. "Simple vs. Complex: Implications of Lags in Pollution Delivery for Efficient Load Allocation and Design of Water-quality Trading Programs." Agricultural and Resource Economics Review 45, no. 2 (2016): 367–93. http://dx.doi.org/10.1017/age.2016.18.

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Water-quality markets that allow point-nonpoint trades assume that nonpoint best management practices (BMPs) achieve the targeted reductions as soon as they are implemented. However, changes in water quality in response to BMPs occur over time—from a few months to decades. We simulate emission allocations using static and dynamic-optimization models to determine whether a simple static allocation can produce results comparable economically and environmentally to complex multi-period designs for nitrogen emissions to Chesapeake Bay. We find that static rules provide relatively large cost saving

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Pothof, I. W. M., and E. J. M. Blokker. "Dynamic hydraulic models to study sedimentation in drinking water networks in detail." Drinking Water Engineering and Science 5, no. 1 (2012): 87–92. http://dx.doi.org/10.5194/dwes-5-87-2012.

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Abstract. Sedimentation in drinking water networks can lead to discolouration complaints. A sufficient criterion to prevent sedimentation in the Dutch drinking water networks is a daily maximum velocity of 0.25 m s−1. Flushing experiments have shown that this criterion is a sufficient condition for a clean network, but not a necessary condition. Drinking water networks include many locations with a maximum velocity well below 0.25 m s−1 without accumulated sediments. Other criteria need to be developed to predict which locations are susceptible to sedimentation and to prevent sedimentation in

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Yuan, Lifeng, Tadesse Sinshaw, and Kenneth J. Forshay. "Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models." Geosciences 10, no. 1 (2020): 25. http://dx.doi.org/10.3390/geosciences10010025.

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Watershed-scale nonpoint source (NPS) pollution models have become important tools to understand, evaluate, and predict the negative impacts of NPS pollution on water quality. Today, there are many NPS models available for users. However, different types of models possess different form and structure as well as complexity of computation. It is difficult for users to select an appropriate model for a specific application without a clear understanding of the limitations or strengths for each model or tool. This review evaluates 14 more commonly used watershed-scale NPS pollution models to explai

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Marsili-Libelli, S., E. Caporali, S. Arrighi, and C. Becattelli. "A georeferenced river quality model." Water Science and Technology 43, no. 7 (2001): 223–30. http://dx.doi.org/10.2166/wst.2001.0429.

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Water quality models have reached a high degree of sophistication, but their weak side remains user interface and output georeferencing. The aim of this paper is to propose an interfacing procedure between two widespread but specialised programming environments: ArcVIEW as a Geographical Information System (GIS) and Matlab as a scientific programming tool for numerical analysis. The proposed solution is based on a Dynamic Data Exchange (DDE) between the two programs in order to operate a Matlab-based water quality model from within the GIS environment. It is shown how special GIS objects must

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Jones, Timothy D., and Nick A. Chappell. "Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms." Hydrology Research 45, no. 6 (2014): 868–92. http://dx.doi.org/10.2166/nh.2014.155.

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With the aim of quantifying the purely hydrological control on fast water quality dynamics, a modelling approach was used to identify the structure (and dynamic response characteristics or DRCs) of the relationship between rainfall and hydrogen ion (H+) load, with reference to rainfall to streamflow response. Unlike most hydrochemistry studies, the method used makes no a priori assumptions about the complexity of the dynamics (e.g., number of flow-paths), but instead uses objective statistical methods to define these (together with uncertainty analysis). The robust models identified are based

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Langhammer, Jakub. "Geostatistical classification of dynamics of water quality changes in the Elbe river basin." Geografie 110, no. 1 (2005): 15–31. http://dx.doi.org/10.37040/geografie2005110010015.

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With regard to the water quality changes, the area of the Czech part of the Elbe river basin is extraordinarily dynamic. In the 20th century it experienced an enormous increase of load of pollution. Since the beginning of the 1990's due to the political and economical changes, we have witnessed a particularly intensive decrease in the emission volume and a related increase in water quality of watercourses. However, positive changes in the pollution load balance have occurred mainly in the biggest watercourses and these changes have not been accompanied by similar development in the whole river

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Haberlandt, U. "From hydrological modelling to decision support." Advances in Geosciences 27 (August 23, 2010): 11–19. http://dx.doi.org/10.5194/adgeo-27-11-2010.

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Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two

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Berber, R., M. Yuceer, and E. Karadurmus. "A parameter identifiability and estimation study in Yesilirmak River." Water Science and Technology 59, no. 3 (2009): 515–21. http://dx.doi.org/10.2166/wst.2009.878.

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Water quality models have relatively large number of parameters, which need to be estimated against observed data through a non-trivial task that is associated with substantial difficulties. This work involves a systematic model calibration and validation study for river water quality. The model considered was composed of dynamic mass balances for eleven pollution constituents, stemming from QUAL2E water quality model by considering a river segment as a series of continuous stirred-tank reactors (CSTRs). Parameter identifiability was analyzed from the perspective of sensitivity measure and col

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Nandalal, K. D. W., and Janos J. Bogardi. "Optimal operation of a reservoir for quality control using inflows and outflows." Water Science and Technology 31, no. 8 (1995): 273–80. http://dx.doi.org/10.2166/wst.1995.0319.

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This paper presents two optimization models developed for the derivation of operation policies for a reservoir when the quality considerations are important besides satisfying the quantity requirement. In one model only the releases are controlled. In the other model both inflows and releases are controlled. Reservoir operational policy is based on the Incremental Dynamic Programming technique. Complete mixing is assumed to be occurring in the reservoir throughout the year. The models are applied to a reservoir on the Shapur river in Southern Iran. The results obtained from the models show the

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Yurchenko, E. E., E. A. Yurchenko, A. A. Kakosyan, L. U. Ovchinnikova, V. E. Yurchenko, and E. K. Birukbaev. "Response of structure models to sinusoidal dynamic action." E3S Web of Conferences 224 (2020): 01005. http://dx.doi.org/10.1051/e3sconf/202022401005.

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The use of small-sized models of structures printed on 3-D printers is possible due to the electroelastic properties of ABS plastic. A comparison of their reactions with analogs made of plexiglas, used in studies of concrete structures, was made. The influence of the environment - water or sea sand, support conditions - free support or pinching, shape - simple or complex in planon the response of models from two different materials was investigated. The laboratory setup simulated a dynamic sinusoidal effect using: a digital frequency generator from 1 to 10000 Hz, an acoustic system diffuser, a

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Lindenschmidt, K. E., K. Poser, and M. Rode. "Impact of morphological parameters on water quality variables of a regulated lowland river." Water Science and Technology 52, no. 6 (2005): 187–93. http://dx.doi.org/10.2166/wst.2005.0167.

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An efficient method to investigate which morphological changes have greatest impact on the water quality is to carry out a computer modelling exercise. In this study, three models, a hydrodynamic (DYNHYD), a eutrophication model (EUTRO), and a sediment and micro-pollutant transport model (TOXI), were coupled together in the High Level Architecture (HLA) platform. DYNHYD dynamically simulates the propagation of a wave through a river reach one-dimensionally by solving the full dynamic wave equation. Important parameters that describe the river morphology are the roughness coefficient and the we

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Rojano, Fernando, David Huber, Ifeoma Ugwuanyi, Vadesse Noundou, Andrielle Kemajou-Tchamba, and Jesus Chavarria-Palma. "Net Ecosystem Production of a River Relying on Hydrology, Hydrodynamics and Water Quality Monitoring Stations." Water 12, no. 3 (2020): 783. http://dx.doi.org/10.3390/w12030783.

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Flow and water quality of rivers are highly dynamic. Water quantity and quality are subjected to simultaneous physical, chemical and biological processes making it difficult to accurately assess lotic ecosystems. Our study investigated net ecosystem production (NEP) relying on high-frequency data of hydrology, hydrodynamics and water quality. The Kanawha River, West Virginia was investigated along 52.8 km to estimate NEP. Water quality data were collected along the river using three distributed multiprobe sondes that measured water temperature, dissolved oxygen, dissolved oxygen saturation, sp

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Sava, Nina, and Galina Marusic. "DIGITAL TECHNIQUES FOR WATER POLLUTION CONTROL." Journal of Engineering Science XXVIII, no. 2 (2021): 138–48. http://dx.doi.org/10.52326/jes.utm.2021.28(2).12.

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This paper is a detailed description and analysis of the most popular techniques digital for water quality control nowadays. It is illustrated how these techniques can be applied to solve problems that have arisen as a result of water pollution of aquatic ecosystems in different countries of the world. The advantages and disadvantages of using dynamic simulation software tools are presented and are based on an analysis of their operation. For each software product are highlighted the water quality parameters that can be simulated. It also presents the analysis of software products regarding th

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Bosklopper, Th G. J., L. C. Rietveld, R. Babuska, B. Smaal, and J. Timmer. "Integrated operation of drinking water treatment plant at Amsterdam water supply." Water Supply 4, no. 5-6 (2004): 263–70. http://dx.doi.org/10.2166/ws.2004.0116.

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Water treatment plants are in general robust and designs are based on the performance of individual processes with pre-set boundary conditions. It is assumed that an integral approach of the entire treatment plant can lead to more efficient operation. Taking into account the developments in sensoring, automation and computation, it is a challenge to improve quality and reliability of the treatment plants and to make maximal use of the installed infrastructure, postponing new investments. At Amsterdam Water Supply (AWS), the first steps have been taken to come to an integral dynamic model of th

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Kisi, Ozgur, Ali Keshavarzi, Jalal Shiri, Mohammad Zounemat-Kermani, and El-Sayed Ewis Omran. "Groundwater quality modeling using neuro-particle swarm optimization and neuro-differential evolution techniques." Hydrology Research 48, no. 6 (2017): 1508–19. http://dx.doi.org/10.2166/nh.2017.206.

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Abstract Recently, the capabilities of artificial neural networks (ANNs) in simulating dynamic systems have been proven. However, the common training algorithms of ANNs (e.g., back-propagation and gradient algorithms) are featured with specific drawbacks in terms of slow convergence and probable entrapment in local minima. Alternatively, novel training techniques, e.g., particle swarm optimization (PSO) and differential evolution (DE) algorithms might be employed for conquering these shortcomings. In this paper, ANN-PSO and ANN-DE models were applied for modeling groundwater qualitative parame

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Wang, Linhui, Xuejun Yue, Huihui Wang, et al. "Dynamic Inversion of Inland Aquaculture Water Quality Based on UAVs-WSN Spectral Analysis." Remote Sensing 12, no. 3 (2020): 402. http://dx.doi.org/10.3390/rs12030402.

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The inland aquaculture environment is an artificial ecosystem, where the water quality is a key factor which is closely related to the economic benefits of inland aquaculture and the quality of aquatic products. Compared with marine aquaculture, inland aquaculture is normally smaller and susceptible to pollution, with poor self-purification capacity. Considering its low cost and large-scale monitoring ability, many researches have developed spectrum sensor on-board satellite platforms to allow remote monitoring of inland water surface. However, there remain many problems, such as low image res

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Davis, Aaron M., Richard G. Pearson, Jon E. Brodie, and Barry Butler. "Review and conceptual models of agricultural impacts and water quality in waterways of the Great Barrier Reef catchment area." Marine and Freshwater Research 68, no. 1 (2017): 1. http://dx.doi.org/10.1071/mf15301.

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Adequate conceptual frameworks that link land use to water quality and ecosystem health are lacking for tropical and subtropical freshwater systems, so we review here extensive water-quality research undertaken in the Great Barrier Reef catchment area (GBRCA) and present conceptual models synthesising the dynamics of agricultural pollutants and their ecological effects. The seasonal flow regime defines the following key periods of water-quality risk over the annual hydrological cycle for diverse GBRCA ecosystems: initial ‘pre-flush’ flows during the transition from the dry to the wet season; e

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Ockenden, Mary C., Wlodek Tych, Keith J. Beven, et al. "Prediction of storm transfers and annual loads with data-based mechanistic models using high-frequency data." Hydrology and Earth System Sciences 21, no. 12 (2017): 6425–44. http://dx.doi.org/10.5194/hess-21-6425-2017.

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Abstract. Excess nutrients in surface waters, such as phosphorus (P) from agriculture, result in poor water quality, with adverse effects on ecological health and costs for remediation. However, understanding and prediction of P transfers in catchments have been limited by inadequate data and over-parameterised models with high uncertainty. We show that, with high temporal resolution data, we are able to identify simple dynamic models that capture the P load dynamics in three contrasting agricultural catchments in the UK. For a flashy catchment, a linear, second-order (two pathways) model for

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Peiro-Alcantar, Maria Teresa, René Funes-Rodríguez, Reginaldo Durazo, Raúl O. Martínez-Rincón, Rogelio González-Armas, and Sergio Hernández Trujillo. "Predictive models of the preferential distribution of demersal fish larvae in the southern part of the California Current." Scientia Marina 84, no. 3 (2020): 253. http://dx.doi.org/10.3989/scimar.04996.11a.

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Habitat characterization provides predictive information about the distribution of species and is useful for assessing habitat quality and population stability. Larval abundance of six frequent and abundant demersal species and the relationship of each with the environment were analysed through generalized additive models to determine their preferential distribution and predictive response to the environmental variables in the southern part of the California Current (25-31°N) between two periods of data collection: 1997-2000 and 2006-2010. Essentially, the main associated variables governing

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Maryns, F., and W. Bauwens. "The application of the activated sludge model No. 1 to a river environment." Water Science and Technology 36, no. 5 (1997): 201–8. http://dx.doi.org/10.2166/wst.1997.0198.

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The current tendency towards an integrated approach for water quality management gives rise to a demand for consistent methods for linking dynamic wastewater treatment models with river water quality models. Linking such models is difficult because of the mutual structural differences with regard to variable and parameter definitions as well as process descriptions. This paper proposes to use the same modelling approach for the simulation of activated sludge treatment and natural self-purification in rivers. Since the standard Activated Sludge Model No. 1 (ASM1) is found to be far more concept

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Kovacevic, R., R. Mohan, and Y. M. Zhang. "Cutting Force Dynamics as a Tool for Surface Profile Monitoring in AWJ." Journal of Engineering for Industry 117, no. 3 (1995): 340–50. http://dx.doi.org/10.1115/1.2804339.

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Abrasive waterjet cut surface is characterized using static and dynamic characterization techniques. A novel method of auto regressive moving average model identification called model distance method is utilized here for surface profile and dynamic force characterization. More information about the surface profile generating mechanism is derived through wavelength decomposition of the ARMA models. The dynamic workpiece normal force in abrasive waterjet is influenced by process parameters such as fluctuations in water pressure, change in abrasive flow rate, vibration of the positioning system,

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Brdys, M. A., and K. Chen. "Joint Estimation of State and Parameters of Integrated Quantity and Quality Models of Dynamic Water Supply and Distribution Systems." IFAC Proceedings Volumes 29, no. 1 (1996): 4004–9. http://dx.doi.org/10.1016/s1474-6670(17)58306-8.

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van Griensven, A., and W. Bauwens. "Concepts for river water quality processes for an integrated river basin modelling." Water Science and Technology 48, no. 3 (2003): 1–8. http://dx.doi.org/10.2166/wst.2003.0145.

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Although there are various ways to model the bio-chemical processes in rivers, two main trends can be distinguished: the traditional QUAL2E-type models and the RWQM-type models, developed by extending and adapting the ASM equations. Both approaches have their weak and strong points. This paper focuses on the application of these concepts in an integrated modelling context. To this purpose, the models were adapted to respect the mass balances, to enable linkage to WWTP outputs and to diffuse pollution sources. Both approaches have been included in ESWAT - Extended Soil and Water Assessment Tool

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Härtel, L., and H. J. Pöpel. "A Dynamic Secondary Clarifier Model including Processes of Sludge Thickening." Water Science and Technology 25, no. 6 (1992): 267–84. http://dx.doi.org/10.2166/wst.1992.0128.

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Dynamic simulation models of the activated sludge process are a planning and designing tool solving and answering problems that cannot be dealt with by static design models or procedures. In dynamic modelling, however, the settling and thickening processes have to be taken into account which have been neglected until now. Therefore, a dynamic model simulating the processes of settling and of thickening in the secondary clarifier is developed and finally integrated into a dynamic biochemical reaction model. The validity of the model approach is evaluated by simulation runs showing the velocitie

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Man, Xiamei, Chengwang Lei, Cayelan C. Carey, and John C. Little. "Relative Performance of 1-D Versus 3-D Hydrodynamic, Water-Quality Models for Predicting Water Temperature and Oxygen in a Shallow, Eutrophic, Managed Reservoir." Water 13, no. 1 (2021): 88. http://dx.doi.org/10.3390/w13010088.

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Many researchers use one-dimensional (1-D) and three-dimensional (3-D) coupled hydrodynamic and water-quality models to simulate water quality dynamics, but direct comparison of their relative performance is rare. Such comparisons may quantify their relative advantages, which can inform best practices. In this study, we compare two 1-year simulations in a shallow, eutrophic, managed reservoir using a community-developed 1-D model and a 3-D model coupled with the same water-quality model library based on multiple evaluation criteria. In addition, a verified bubble plume model is coupled with th

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Gong, N., X. Ding, T. Denoeux, J. L. Bertrand-Krajewski, and M. Clément. "Stormnet: a connectionist model for dynamic management of wastewater treatment plants during storm events." Water Science and Technology 33, no. 1 (1996): 247–56. http://dx.doi.org/10.2166/wst.1996.0024.

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Models for solid transport in sewers during storm events are increasingly used. An important application of these models is the management of treatment plants during storm events so as to improve the quality of receiving waters. However, a major difficulty that prevents more general use of these tools is their calibration, which requires field data, accurate information about catchments and sewers, and a specific methodology. For that reason, a connectionist model called STORMNET has been designed to reproduce and replace usual conceptual and deterministic models. This model requires fewer dat

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Andersen, S. T., A. C. Erichsen, O. Mark, and H. J. Albrechtsen. "Effects of a 20 year rain event: a quantitative microbial risk assessment of a case of contaminated bathing water in Copenhagen, Denmark." Journal of Water and Health 11, no. 4 (2013): 636–46. http://dx.doi.org/10.2166/wh.2013.210.

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Quantitative microbial risk assessments (QMRAs) often lack data on water quality leading to great uncertainty in the QMRA because of the many assumptions. The quantity of waste water contamination was estimated and included in a QMRA on an extreme rain event leading to combined sewer overflow (CSO) to bathing water where an ironman competition later took place. Two dynamic models, (1) a drainage model and (2) a 3D hydrodynamic model, estimated the dilution of waste water from source to recipient. The drainage model estimated that 2.6% of waste water was left in the system before CSO and the hy

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