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Journal articles on the topic 'Dissolved Oxygen dynamic model'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Martin, Scott C., Steven W. Effler, Joseph V. DePinto, et al. "Dissolved Oxygen Model for a Dynamic Reservoir." Journal of Environmental Engineering 111, no. 5 (1985): 647–64. http://dx.doi.org/10.1061/(asce)0733-9372(1985)111:5(647).

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2

Tauviqirrahman, Mohammad, Eflita Yohana, Jourdy Cakranegara, Jamari, and Budi Setiyana. "Analysis of the Effect of Cut Sweep Ratio of Lily Impeller on the Distribution of Dissolved Oxygen." Fluids 9, no. 12 (2024): 303. https://doi.org/10.3390/fluids9120303.

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The aquaculture industry encounters substantial obstacles, including organic pollution, oxygen insufficiency, and elevated levels of ammonia and carbon dioxide. Aeration systems are employed to enhance the process of oxygen transfer and promote circulation. The Lily impeller, a newly developed technology, has demonstrated reduced energy consumption in comparison to conventional impeller designs. The objective of this study is to examine how changes in the cut sweep ratio impact the distribution of dissolved oxygen in shrimp ponds, using computational fluid dynamics (CFD) simulation. A user-def

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3

Schaarup-Jensen, K., and T. Hvitved-Jacobsen. "Dissolved Oxygen Stream Model for Combined Sewer Overflows." Water Science and Technology 22, no. 10-11 (1990): 137–46. http://dx.doi.org/10.2166/wst.1990.0298.

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Dissolved oxygen (DO) depletion in receiving streams during combined sewer overflows (CSO) is aphenomenon which comprises dry weather processes, including photosynthesis, and wet weather impacts. During a CSO event a distinction between immediate and delayed DO consumption in the stream caused by biodegradation of soluble and particulate organics, respectively, is made. Two DO models have been developed in order to simulate the combined dry weather and wet weather effects. The first one is a simplified model based on the concept of an extended Streeter-Phelps equation and the second one is an

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4

Carberry, J. B., and R. W. Greene. "Model of Algal Bacterial Clay Wastewater Treatment System." Water Science and Technology 26, no. 7-8 (1992): 1697–706. http://dx.doi.org/10.2166/wst.1992.0613.

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A computer model is presented for an innovative wastewater treatment process known as the Algae-Bacterial-Clay Treatment (ABCT) system. In this process the photosynthetic production of dissolved oxygen by algae supports the bacterial breakdown of organic matter in wastewater. Clay is added to the plug flow reactor to dampen input BOD variation. The model was developed to gain an improved understanding of transient behavior of dissolved oxygen and pH in the treatment reactor during typical operation. The model consists of five nonlinear ordinary differential equations describing the time rate o

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5

Yao, Xiaonan, Gang Zhang, Song Yang, and Yuehua Chen. "Adaptive Anti-Disturbance Control of Dissolved Oxygen in Circulating Water Culture Systems." Symmetry 15, no. 11 (2023): 2015. http://dx.doi.org/10.3390/sym15112015.

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In the three-dimensional culture model, the breeding basket of the culture area is symmetrical and it is important to control the dissolved oxygen in the symmetrical region to improve the culture efficiency. Practical engineering issues, such as the influence of flow rate, pH, water temperature, and biological oxygen consumption on the dissolved oxygen content in the circulating water culture system, must be considered along with the presence of modeling errors in the control model. The authors propose an adaptive anti-disturbance control strategy for dissolved oxygen that combines nonlinear d

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6

Suescun, J., and E. Ayesa. "Practical identification of the dissolved oxygen dynamic in activated sludge plants." Water Science and Technology 45, no. 4-5 (2002): 397–404. http://dx.doi.org/10.2166/wst.2002.0634.

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This paper presents the application to a full-scale waste water treatment plant (WWTP) of a practical methodology to identify the oxygen supply and consumption terms, which regulate the dynamic behaviour of the dissolved oxygen concentration (SO) in activated sludge reactors. This methodology is based on a periodic adjustment of the selected model for oxygen mass-transfer coefficient (KLa) and a continuous estimation of the oxygen uptake rate (rO), maintaining constant the adjusted KLa model, in order to uncouple the effects that the consumption and supply terms have on the SO concentration. T

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7

Siti, Zainab, Handajani Novie, Wibisana Hendrata, and Cahya Wardhani Primasari. "Distribution of Water Quality Concerning Sea Surface Temperature and Dissolved Oxygen Using Landsat 8 Satellite Imagery on the Tuban Coast, East Java." International Journal of Innovative Science and Research Technology 7, no. 7 (2022): 1447–52. https://doi.org/10.5281/zenodo.7007228.

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The coast of Tuban is a fairly dynamic area where the lives of fishers depend on fishing. Changes in the eco system in Tuban’s coastal area significantly affect fishing activities. One of the parameters that can be observed is the distribution of oxygen content and sea surface temperature of the water bodies on the coast. Sea surface temperature and dissolved oxygen have a vital role as a determinant of water quality and are crucial factors for the life of organisms in theocean. This study aims to analyze the distribution of nutrients in sea surface temperature and dissolved oxygen with

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8

Dai, Hou Zhao, Ming Jian Huang, Cong Li, and Ya Ning Zhang. "Research of the Dissolved Oxygen Intelligent Control System in the Aeration System of Wastewater Treatment." Applied Mechanics and Materials 433-435 (October 2013): 1136–40. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1136.

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Based on these characteristics of dissolved oxygen control in sewage treatment aeration process, such as nonlinearity, large time delay in a timely manner and difficult to model accurately, this paper puts forward an intelligent control strategy of dissolved oxygen. First, make intelligent dynamic dissolved oxygen value setting according to water quality parameters as the feed forward control, and then Fuzzy PID control and conventional PID control fan control systems compose a cascade control system to ensure the stability of dissolved oxygen value in given value. I used the simulation and ex

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9

Maharani, Kayla, Syafira Ulfa, and Heri Ariadi. "An estimation of dissolved oxygen production model by paddle aerator in whiteleg shrimp (Litopenaeus vannamei) culture." BIO Web of Conferences 136 (2024): 01004. http://dx.doi.org/10.1051/bioconf/202413601004.

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Dissolved oxygen is an important parameter in L. vannamei culture. The aim of this research is to determine of the oxygen levels produced by the paddle aerator in L. vannamei ponds. The research method used is a descriptive method by collecting research data using the causal expose-facto design which is analyzed by a dynamic modeling system. The results showed that water quality parameters were relatively stable during the shrimp culture periods. Based on dynamic modeling studies, the effectiveness of using the paddle aerator will decrease in the third week. According to modeling estimates of

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10

Li, Cong, Hui Zhang, Hou Zhao Dai, and Ming Jian Huang. "The Research of the Intelligent Given and Control for the Dissolved Oxygen in the Aeration Process of Sewage Treatment." Advanced Materials Research 945-949 (June 2014): 3530–33. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3530.

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Based on these characteristics of dissolved oxygen control in sewage treatment aeration process, such as nonlinearity, large time delay in a timely manner and difficult to model accurately, this paper puts forward an intelligent control strategy of dissolved oxygen. First, according to feed water quality parameters and environmental factors, we build a rule-based multistage fuzzy controller to make intelligent dynamic dissolved oxygen value setting. Then the feedforward tracking and constant value control are proceed, according to error source and threshold we use fuzzy tracking, fuzzy PID sep

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11

Jubb, Sarah, Philip Hulme, Ian Guymer, and John Martin. "Considering the impact of intermittent discharges when modelling overflows." Water Science and Technology 38, no. 10 (1998): 23–30. http://dx.doi.org/10.2166/wst.1998.0370.

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This paper describes a preliminary investigation that identified factors important in the prediction of river water quality, especially regarding dissolved oxygen (DO) concentration. Intermittent discharges from combined sewer overflows (CSOs) within the sewerage, and overflows at water reclamation works (WRW) cause dynamic conditions with respect to both river hydraulics and water quality. The impact of such discharges has been investigated under both wet and dry weather flow conditions. Data collected from the River Maun, UK, has shown that an immediate, transient oxygen demand exists downst

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12

郭, 庆. "Dynamic Analysis of a Dissolved Oxygen-Plankton Model with Two Time Delays." Advances in Applied Mathematics 06, no. 07 (2017): 816–30. http://dx.doi.org/10.12677/aam.2017.67099.

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13

Stigter, J. D., M. B. Beck, and R. J. Gilbert. "Identification of model structure for photosynthesis and respiration of algal populations." Water Science and Technology 36, no. 5 (1997): 35–42. http://dx.doi.org/10.2166/wst.1997.0160.

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The paper introduces a methodology for model evaluation based upon (i) a controlled random search algorithm used for calibration and (ii) a recursive prediction error algorithm used as a verification tool. The method is applied to a case study in north west Georgia involving the dynamic simulation of a population of algae in a standing body of water. Efforts to identify a model structure for the dissolved oxygen dynamics associated with photosynthesis and respiration are made, with some success.

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14

Novia, Fanny, and Laila Febrina. "Dinamika Konsentrasi Oksigen Terlarut Akibat Limbah Cair Domestik di Hulu Sungai Citarum Menggunakan Model Dinamik." Dampak 15, no. 2 (2018): 65. http://dx.doi.org/10.25077/dampak.15.2.7-13.2018.

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High pollutant load from municipal discharges around the upstream of Citarum River contributes to the water quality problems of the river. Dynamic modelling was developed to analyze the behaviour of dissolved oxygen in upper of Citarum river using STELLA® as a tool. The modelling area consist of four segments namely Wangisagara, Jembatan Koyod, after Cisirung WWTP and Nanjung. Calibration and validation was done to get the most approaching simulated data to actual data. Average Mean Error (AME) and Average Variation Error (AVE) for all segments was 1.65% and 5.8%, therefore the developed model

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15

Cox, B. A., and P. G. Whitehead. "Impacts of climate change scenarios on dissolved oxygen in the River Thames, UK." Hydrology Research 40, no. 2-3 (2009): 138–52. http://dx.doi.org/10.2166/nh.2009.096.

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A water quality model is used to assess the impact of possible climate change on dissolved oxygen (DO) in the Thames. The Thames catchment is densely populated and, typically, many pressures are anthropogenic. However, that same population also relies on the river for potable water supply and as a disposal route for treated wastewater. Thus, future water quality will be highly dependent on future activity. Dynamic and stochastic modelling has been used to assess the likely impacts on DO dynamics along the river system and the probability distributions associated with future variability. The mo

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16

Kalra, Tarandeep S., Neil K. Ganju, and Jeremy M. Testa. "Development of a submerged aquatic vegetation growth model in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST v3.4) model." Geoscientific Model Development 13, no. 11 (2020): 5211–28. http://dx.doi.org/10.5194/gmd-13-5211-2020.

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Abstract. The coupled biophysical interactions between submerged aquatic vegetation (SAV), hydrodynamics (currents and waves), sediment dynamics, and nutrient cycling have long been of interest in estuarine environments. Recent observational studies have addressed feedbacks between SAV meadows and their role in modifying current velocity, sedimentation, and nutrient cycling. To represent these dynamic processes in a numerical model, the presence of SAV and its effect on hydrodynamics (currents and waves) and sediment dynamics was incorporated into the open-source Coupled Ocean–Atmosphere–Wave–

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17

Wang, Zhong Qi, and Cheng Zhao. "Study on the Fuzzy Neural Network Control Used in Wastewater Treatment." Applied Mechanics and Materials 71-78 (July 2011): 3127–32. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.3127.

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In this paper, we introduce the study on fuzzy neural network control used in wastewater treatment. An effective fuzzy neural network controller is proposed. The simulation result shows that the system gives strong robustness and good dynamic characteristics. It is used to control dissolved oxygen and forecast water quality. The result indicates that the concentration of dissolved oxygen can reach expectation fleetly and effectively. The model has better precision of forecasting and faster speed of convergence.

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18

Hosomi, M., M. Okada, and R. Sudo. "Assessment of Eutrophication Control Programs Using an Ecological Model for a Dimictic Lake." Water Science and Technology 24, no. 6 (1991): 339–48. http://dx.doi.org/10.2166/wst.1991.0174.

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An ecological model of Lake Yunoko, a dimictic lake, was developed to assess various programs for eutrophication control. A multi-component dynamic model for nutrients in the bottom sediment-water system was incorporated into the model, a one-dimensional water temperature-water quality-ecological model. Good agreement between the model calculations and observed nutrients, chlorophyll-a, and dissolved oxygen concentrations in the water and nutrient concentrations in the bottom sediment was noted. The agreement between the model calculations and the measured nutrient flux from bottom sediment du

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19

Antonopoulos, Vassilis Z., and Soultana K. Gianniou. "Energy Budget, Water Quality Parameters and Primary Production Modeling in Lake Volvi in Northern Greece." Sustainability 15, no. 3 (2023): 2505. http://dx.doi.org/10.3390/su15032505.

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A lake’s water quality and its ecosystem structure are mainly determined by heat storage change through its energy budget, dissolved oxygen, nutrients and primary productivity. A one-dimensional water quality model for lakes was used to estimate temperature, dissolved oxygen, phytoplankton (as chlorophyll-α), and inorganic and organic phosphorus. Evaporation, energy budget and surface water temperature were also computed. The results of the mathematical model simulation are presented and evaluated. Data from Lake Volvi in Central Macedonia (in northern Greece) for three successive years (2013

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20

Peña, M. A., S. Katsev, T. Oguz, and D. Gilbert. "Modeling dissolved oxygen dynamics and hypoxia." Biogeosciences 7, no. 3 (2010): 933–57. http://dx.doi.org/10.5194/bg-7-933-2010.

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Abstract. Hypoxia conditions are increasing throughout the world, influencing biogeochemical cycles of elements and marine life. Hypoxia results from complex interactions between physical and biogeochemical processes, which can not be understood by observations alone. Models are invaluable tools at studying system dynamics, generalizing discrete observations and predicting future states. They are also useful as management tools for evaluating site-specific responses to management scenarios. Here we review oxygen dynamics models that have significantly contributed to a better understanding of t

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21

Joassin, P., B. Delille, K. Soetaert, et al. "A mathematical modelling of bloom of the coccolithophore <i>Emiliania huxleyi</i> in a mesocosm experiment." Biogeosciences Discussions 5, no. 1 (2008): 787–840. http://dx.doi.org/10.5194/bgd-5-787-2008.

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Abstract. A dynamic model has been developed to represent biogeochemical variables and processes observed during a bloom of Emiliania huxleyi coccolithophore. This bloom was induced in a mesocosm experiment during which the ecosystem development was followed over a period of 23-days through changes in various biogeochemical parameters such as inorganic nutrients (nitrate, ammonium and phosphate), total alkalinity (TA), dissolved inorganic carbon (DIC), partial pressure of CO2 (pCO2), dissolved oxygen (O2), photosynthetic pigments, particulate organic carbon (POC), dissolved organic carbon (DOC

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22

Supriatna and M. Mahmudi. "Dynamic model of dissolved oxygen in intensive concrete pond of white leg shrimp (Litopenaeus vannamei) in Bomo Village, East Java." IOP Conference Series: Earth and Environmental Science 919, no. 1 (2021): 012058. http://dx.doi.org/10.1088/1755-1315/919/1/012058.

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Abstract This study is to understand a simple model of dissolved oxygen (DO) and other water quality factors that affect it in two seasons in intensive white leg shrimp ponds. Water quality parameters in the dry and rainy seasons in several ponds were sampled daily, including temperature, pH, (DO), salinity, twice a week, including ammonium, nitrite, nitrate, orthophosphate, total alkalinity, and total bacteria. Besides daily, dissolved oxygen is also measured before the harvest every two hours by using dark bottles and light bottles. Pond water quality parameters are still suitable for white

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23

Li, Muhang, Ran Tang, Yifei Li, and Junning Cui. "Modeling and Dynamic Parameterized Predictive Control of Dissolved Oxygen in Dual−Tank Bioreactor Systems." Bioengineering 12, no. 7 (2025): 690. https://doi.org/10.3390/bioengineering12070690.

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Uneven distribution and delayed system response of dissolved oxygen (DO) in dual−tank recirculating bioreactor systems pose significant challenges for oxygen supply. To address these issues, a dynamic parameterized predictive control (DPPC) approach is proposed and validated through simulation and bench−scale experiments. This method is underpinned by a mathematical model that integrates mass transfer kinetics and chemical thermodynamic principles, accurately capturing oxygen dissolution and transfer within a recirculating environment. By predicting future DO variations and continuously integr

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24

Feng, M. L., T. Sun, L. X. Zhang, and X. M. Shen. "Net Ecosystem Metabolism Simulation by Dynamic Dissolved Oxygen Model in Yellow River Estuary, China." Procedia Environmental Sciences 13 (2012): 807–17. http://dx.doi.org/10.1016/j.proenv.2012.01.074.

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25

Sekerci, Yadigar, and Sergei Petrovskii. "Pattern Formation in a Model Oxygen-Plankton System." Computation 6, no. 4 (2018): 59. http://dx.doi.org/10.3390/computation6040059.

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Decreasing level of dissolved oxygen has recently been reported as a growing ecological problem in seas and oceans around the world. Concentration of oxygen is an important indicator of the marine ecosystem’s health as lack of oxygen (anoxia) can lead to mass mortality of marine fauna. The oxygen decrease is thought to be a result of global warming as warmer water can contain less oxygen. Actual reasons for the observed oxygen decay remain controversial though. Recently, it has been shown that it may as well result from a disruption of phytoplankton photosynthesis. In this paper, we further ex

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26

Sutherland, Kevin M., Scott D. Wankel, and Colleen M. Hansel. "Dark biological superoxide production as a significant flux and sink of marine dissolved oxygen." Proceedings of the National Academy of Sciences 117, no. 7 (2020): 3433–39. http://dx.doi.org/10.1073/pnas.1912313117.

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The balance between sources and sinks of molecular oxygen in the oceans has greatly impacted the composition of Earth’s atmosphere since the evolution of oxygenic photosynthesis, thereby exerting key influence on Earth’s climate and the redox state of (sub)surface Earth. The canonical source and sink terms of the marine oxygen budget include photosynthesis, respiration, photorespiration, the Mehler reaction, and other smaller terms. However, recent advances in understanding cryptic oxygen cycling, namely the ubiquitous one-electron reduction of O2 to superoxide by microorganisms outside the ce

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27

Tsydenov, Bair O. "A mathematical model of dissolved oxygen transport during the thermal bar evolution." Vestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika, no. 86 (2023): 176–87. https://doi.org/10.17223/19988621/86/14.

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The article describes а 2.5D non-hydrostatic model of dissolved oxygen transport in a freshwater lake. The oxygen dynamics are carried out through oxygen exchange with the atmosphere and physical transfer due to the effect of the thermal bar. An intraday change in wind speed (that influences the rate of oxygen transition from gas to liquid) is taken into account at the air-water interface. Space-time distributions of temperature and dissolved oxygen concentration were obtained during the spring thermal bar on an example of Barguzin Bay of Lake Baikal. The results of simulation showed that the

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28

Stahl, Baruch, and Christopher G. Uchrin. "Dissolved oxygen dynamics in the mid‐passaic river: Mathematical model." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering 24, no. 2 (1989): 175–93. http://dx.doi.org/10.1080/10934528909375473.

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29

Peña, M. A., S. Katsev, T. Oguz, and D. Gilbert. "Modeling dissolved oxygen dynamics and coastal hypoxia: a review." Biogeosciences Discussions 6, no. 5 (2009): 9195–256. http://dx.doi.org/10.5194/bgd-6-9195-2009.

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Abstract. Hypoxia occurs in marine ecosystems throughout the world, influences biogeochemical cycles of elements and may have severe impacts on marine life. Hypoxia results from complex interactions between physical and biogeochemical processes, which can not be addressed by observations alone. In this paper, we review oxygen dynamical models that have been applied in studies of factors controlling coastal hypoxia and in predictions of future states. We also identify scientific issues that need further development and point out some of the major challenges. Over recent decades, substantial pro

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30

Totok, Soehartanto, Putu Eka Widya Pratama I, Firdaus Mujiyanti Safira, et al. "Dissolved oxygen control system in polishing unit using logic solver." Bulletin of Electrical Engineering and Informatics 12, no. 2 (2023): 760–70. https://doi.org/10.11591/eei.v12i2.4445.

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The research consists of two parts, the first one is to design the dynamic plant model of polishing unit using artificial neural network (ANN) type backpropagation, and the second one is to design a simulation of a close loop control system on Simulink consisting of logic solver, control valve and ANN polishing unit. The ANN polishing unit was trained and obtained the best model structure 4-24-3 with four inputs chemical oxygen demand (COD) influent, oil in water (OIW) influent, urea, and triple superphosphate (TSP), twenty-four hidden layer nodes, and three outputs (OIW effluent, COD effluent

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31

Petruck, A., D. Jäger, and F. Sperling. "Dynamic simulation of the effects of combined sewage overflow on small urban streams." Water Science and Technology 39, no. 9 (1999): 235–42. http://dx.doi.org/10.2166/wst.1999.0485.

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The recently developed water quality simulation model FGSM of the German Association for Water Pollution Control (ATV) has been set up to simulate major water quality parameters of a small urban stream. After collecting the necessary input data the model was calibrated for dry weather conditions. Based on the calibrated model typical combined sewage overflow events were simulated. The model was able to simulate dry weather conditions well. For the simulation of combined sewage overflow events a typical event was simulated. The model was able to simulate high peak flows almost without damping.

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32

Stokes, A. J., J. R. West, C. F. Forster, R. C. A. Kruger, M. de Bel, and W. J. Davies. "Improvements to a stoat model of a full scale wastewater treatment works through the use of detailed mechanistic studies." Water Science and Technology 36, no. 5 (1997): 277–84. http://dx.doi.org/10.2166/wst.1997.0216.

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The performance of a wastewater treatment works has been simulated using a dynamic modelling package from WRc, STOAT. The estimation of appropriate parameter values has been performed both prior to and after detailed investigations of the mechanisms of oxygen transfer and mixing within the aeration lanes of the activated sludge plant. Interpretation of reactor mixing characteristics in the light of dissolved oxygen data is considered. The need for accurate information concerning solids retention times is exemplified by the model's sensitivity to sludge wastage rates.

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33

Sadeghassadi, M., C. J. B. Macnab, and D. Westwick. "Design of a generalized predictive controller for a biological wastewater treatment plant." Water Science and Technology 73, no. 8 (2016): 1986–2006. http://dx.doi.org/10.2166/wst.2016.050.

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This paper presents a generalized predictive control (GPC) technique to regulate the activated sludge process found in a bioreactor used in wastewater treatment. The control strategy can track dissolved oxygen setpoint changes quickly, adapting to the system uncertainties and disturbances. Tests occur on an Activated Sludge Model No. 1 benchmark of an activated sludge process. A T filter added to the GPC framework results in an effective control strategy in the presence of coloured measurement noise. This work also suggests how a constraint on the measured variable can be added as a penalty te

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34

Prasad, B. S. R. V., P. D. N. Srinivasu, P. Sarada Varma, A. V. Raman, and Santanu Ray. "Dynamics of Dissolved Oxygen in Relation to Saturation and Health of an Aquatic Body: A Case for Chilka Lagoon, India." Journal of Ecosystems 2014 (February 20, 2014): 1–17. http://dx.doi.org/10.1155/2014/526245.

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Dissolved oxygen (DO) is essential for an aquatic ecosystem since it controls the biological productivity. Here, we propose a unidimensional dynamic model for DO by incorporating biological (photosynthesis, respiration, and mineralization), physical (atmospheric reaeration) and chemical (nitrification) processes so characteristic of shallow coastal water bodies. The analytical study of the proposed model is focussed on supersaturation and undersaturation of oxygen in the water body. The controllability of the ecosystem health has also been investigated. Model results indicate that, while under

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35

Lindberg, C. F., and B. Carlsson. "Estimation of the respiration rate and oxygen transfer function utilizing a slow do sensor." Water Science and Technology 33, no. 1 (1996): 325–33. http://dx.doi.org/10.2166/wst.1996.0032.

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In this paper a software sensor for estimating the respiration rate and the nonlinear oxygen transfer functionKLa is presented. The respiration rate and the oxygen transfer function were estimated from measurements of the dissolved oxygen concentration (DO) and airflow rate by a Kalman filter. In particular, a filtering procedure was applied for the case when the DO sensor dynamic cannot be neglected. In the estimation scheme the time varying respiration rate was modelled by a filtered random walk model, and the nonlinearKLa function was modelled with an exponential model. A numerical study il

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36

Soehartanto, Totok, I. Putu Eka Widya Pratama, Safira Firdaus Mujiyanti, et al. "Dissolved oxygen control system in polishing unit using logic solver." Bulletin of Electrical Engineering and Informatics 12, no. 2 (2023): 760–70. http://dx.doi.org/10.11591/eei.v12i2.4445.

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The research consists of two parts, the first one is to design the dynamic plant model of polishing unit using artificial neural network (ANN) type backpropagation, and the second one is to design a simulation of a close loop control system on Simulink consisting of logic solver, control valve and ANN polishing unit. The ANN polishing unit was trained and obtained the best model structure 4-24-3 with four inputs chemical oxygen demand (COD) influent, oil in water (OIW) influent, urea, and triple superphosphate (TSP), twenty-four hidden layer nodes, and three outputs (OIW effluent, COD effluent

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37

Cao, Wang. "A Comparison Study of Seawater Dissolved Oxygen Using Dynamic Changes Prediction Models." Journal of Water Resources and Ocean Science 5, no. 6 (2016): 87. http://dx.doi.org/10.11648/j.wros.20160506.12.

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38

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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39

Rocha, RRA, SM Thomaz, P. Carvalho, and LC Gomes. "Modeling chlorophyll-a and dissolved oxygen concentration in tropical floodplain lakes (Paraná River , Brazil)." Brazilian Journal of Biology 69, no. 2 suppl (2009): 491–500. http://dx.doi.org/10.1590/s1519-69842009000300005.

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The need for prediction is widely recognized in limnology. In this study, data from 25 lakes of the Upper Paraná River floodplain were used to build models to predict chlorophyll-a and dissolved oxygen concentrations. Akaike's information criterion (AIC) was used as a criterion for model selection. Models were validated with independent data obtained in the same lakes in 2001. Predictor variables that significantly explained chlorophyll-a concentration were pH, electrical conductivity, total seston (positive correlation) and nitrate (negative correlation). This model explained 52% of chlorophy

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Banjongproo, P., and B. Wett. "Mass balance of a wastewater loaded canal system: case study of Bangkok." Water Science and Technology 46, no. 11-12 (2002): 451–56. http://dx.doi.org/10.2166/wst.2002.0777.

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A dynamic water quality model was applied in order to investigate self-purification processes in highly loaded canals in the centre of Bangkok, capital city of Thailand. Oxygen production by aquatic plants induces a significant diurnal variation of the dissolved oxygen concentration. The corresponding profiles of heterotrophic growth and BOD5 concentration demonstrate the limiting impact of oxygen shortage during night time. Both self-purification mechanisms - biological degradation and settling - are considered and water-sediment interactions are calculated. Simulation results and measurement

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Tsydenov, Bair O., Dmitriy V. Degi, Andrey A. Bart, Nikita S. Trunov, and Vladislava V. Churuksaeva. "A mathematical model of the dynamics of biogeochemical processes in a freshwater lake including oxygen circulation with the development of the thermal bar." Vestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika, no. 93 (2025): 41–57. https://doi.org/10.17223/19988621/93/4.

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In this paper, а nonhydrostatic mathematical model is described for reproducing hydrophysical and biogeochemical processes including the dynamics of dissolved oxygen in a freshwater lake during the thermal bar. The biogeochemical part of the model includes the following variables: oxygen, nitrate, ammonium, phosphate, chlorophyll a, phytoplankton, zooplankton, and small and large detritus. The oxygen supply from the atmosphere to the lake is parameterized taking into account the solubility of oxygen in water and the variability of wind speed on the lake surface. The biochemical dynamics of oxy

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Castro-Olivares, Adrián, Marisela Des, Maite deCastro, et al. "Coupled Hydrodynamic and Biogeochemical Modeling in the Galician Rías Baixas (NW Iberian Peninsula) Using Delft3D: Model Validation and Performance." Journal of Marine Science and Engineering 12, no. 12 (2024): 2228. https://doi.org/10.3390/jmse12122228.

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Estuaries are dynamic and resource-rich ecosystems renowned for their high productivity and ecological significance. The Rías Baixas, located in the northwest of the Iberian Peninsula, consist of four highly productive estuaries that support the region’s economy through key fisheries and aquaculture activities. Numerical modeling of biogeochemical processes in the rias is essential to address environmental and anthropogenic pressures, particularly in areas facing intense human development. This study presents a high-resolution water quality model developed using Delft3D 4 software, integrating

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Hermanowicz, S. W. "Dynamic Changes in Populations of the Activated Sludge Community: Effects of Dissolved Oxygen Variations." Water Science and Technology 19, no. 5-6 (1987): 889–95. http://dx.doi.org/10.2166/wst.1987.0267.

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A simple dynamic mathematical model was developed to describe a microbial system composed of two populations: filamentous and floc-forming bacteria. Growth rates of both microorganisms depend on the concentration of a single organic substrate and on the dissolved oxygen (DO) concentration. Biokinetic parameters were estimated from the experimental data reported in the literature. Using these parameters population changes were examined under variable DO concentrations. The comparison of the numerical simulations and experimental data indicated a possibility of controlling population composition

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Li, Dashe, Jingzhe Hu, Mengdi Li, and Siwei Zhao. "A long-term dissolved oxygen prediction model in aquaculture using transformer with a dynamic adaptive mechanism." Expert Systems with Applications 259 (January 2025): 125258. http://dx.doi.org/10.1016/j.eswa.2024.125258.

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Wei, Wei, Nan Chen, Min Zuo, and Zai-Wen Liu. "Disturbance rejection control for the dissolved oxygen in a wastewater treatment process." Measurement and Control 53, no. 5-6 (2020): 899–907. http://dx.doi.org/10.1177/0020294020909953.

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In wastewater treatment processes, the concentration of dissolved oxygen affects the performance of wastewater treatment directly. It is one of the key factors that determines effluent quality of the wastewater treatment. However, a simple closed-loop control has a high-energy consumption, and it cannot guarantee the effluent quality due to large perturbations in wastewater treatment plants, such as the influent rate, the temperature, and the complex biochemical reactions. In this paper, a new disturbance rejection controller is designed to address those perturbations. Dynamics of dissolved ox

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Deksissa, T., and P. A. Vanrolleghem. "Integrated modelling of conventional pollutants and organic contaminant fate in rivers: a microcosm study." Water Science and Technology 52, no. 12 (2005): 73–81. http://dx.doi.org/10.2166/wst.2005.0430.

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A new conceptual dynamic integrated model is presented which can be used to describe both conventional pollutants and organic contaminant fate in rivers. The model is designed to assess the short-term fate of organic contaminants in two compartments (bulk water and benthic sediment), taking into account the effect of nutrient dynamics. The biodegradation submodel was refined using a microcosm (artificial river) study and Linear Alkylbenzene Sulphonate (LAS) as an example. Based on data generated during the microcosm study, the model was calibrated and validated in both steady state (continuous

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WALDHANI, GESTI ESSA WALDHANI. "Hopf bifurcation in a dynamic mathematical model in facultative waste stabilization pond." Jurnal Matematika, Statistika dan Komputasi 21, no. 2 (2025): 544–59. https://doi.org/10.20956/j.v21i2.41888.

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In this paper, we discuss the predator-prey model using Holling type II functional response with the time delay in facultative stabilization pond. In this research, we discuss the predator-prey model using Holling type II functional response with the time delay, determining the equilibrium point, the stability analysis of predator-prey model using Holling type II functional response with the time delay and numerical simulation of the predator-prey model using Holling type II functional response with the time delay. The method used to analyse the problem is by literature study. The steps used a

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Kumar, Bipul, and Takeshi Mizunoya. "Sustainability Assessment Model of the Buriganga River Restoration Project in Bangladesh: A System Dynamics and Inclusive Wealth Study." Sustainability 14, no. 2 (2022): 873. http://dx.doi.org/10.3390/su14020873.

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The Bangladesh government initiated the Buriganga River Restoration Project in 2010 to clean the heavily polluted Turag-Buriganga River. This study assessed the dynamic impact of the project on intergenerational well-being and developing a sustainable river system. The project outcomes were modeled for three future scenarios—varying waste control, streamflow, and migration control levels. System dynamics modeling—based on Streeter-Phelps’ water quality model and inclusive wealth (IW) index—was applied to secondary data (including remotely sensed data). The simulation model indicated that the p

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Reda, A. L. L., and M. B. Beck. "Simulation model for real-time decision support in controlling the impacts of storm sewage discharges." Water Science and Technology 39, no. 9 (1999): 225–33. http://dx.doi.org/10.2166/wst.1999.0483.

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The impacts of combined sewage discharges on river water quality are studied using the MCSTR (Multiple Continuously Stirred Tank Reactor) dynamic model. The potential for applying this model in a real-time context is demonstrated as a tool to support decisions regarding treatment plant operating during storm events, when it is often not possible to sustain full treatment of the incoming sewage flow. Discharges to the River Cam of treated and untreated urban wastewaters from Cambridge and the Cambridge Sewage Works are addressed as a hypothetical case study. Alternative treatment strategies are

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di Cicco, Maria Rosa, Antonio Masiello, Antonio Spagnuolo, et al. "Real-Time Monitoring and Static Data Analysis to Assess Energetic and Environmental Performances in the Wastewater Sector: A Case Study." Energies 14, no. 21 (2021): 6948. http://dx.doi.org/10.3390/en14216948.

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Real-time monitoring of energetic-environmental parameters in wastewater treatment plants enables big-data analysis for a true representation of the operating condition of a system, being still frequently mismanaged through policies based on the analysis of static data (energy billing, periodic chemical–physical analysis of wastewater). Here we discuss the results of monitoring activities based on both offline (“static”) data on the main process variables, and on-line (“dynamic”) data collected through a monitoring system for energetic-environmental parameters (dissolved oxygen, wastewater pH

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