Academic literature on the topic 'Dissolved Oxygen dynamic model'

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Journal articles on the topic "Dissolved Oxygen dynamic model"

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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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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-defined function (UDF) was utilized to incorporate a dissolved oxygen model into the pond. Five designs of Lily impellers were analyzed and compared with each other. This study demonstrated that alterations in the cut sweep ratio significantly affected the distribution of dissolved oxygen, dynamic pressure, and flow velocity in the pond. The “no cut” variant exhibited the highest average dissolved oxygen value of 0.00385 kg/m3, along with a maximum dynamic pressure of 11.5 Pa and a maximum flow velocity of 0.96 m/s, resulting in the most significant outcomes. This study determined that only the immediate area surrounding the aerator possesses dissolved oxygen levels that are sufficiently elevated to support the survival of shrimp. Consequently, the installation of additional aerators is necessary to guarantee the presence of adequate dissolved oxygen throughout the entire pond.
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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 advanced model, which is made from two integrated parts a hydro dynamic and a transport-dispersion model. The structure of the two models is described and model results are compared and evaluated.
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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 of change of algae mass, bacterial mass, organic substrate, dissolved oxygen, and dissolved carbon dioxide. A fourth-order Runge-Kutta integration technique was used to predict system response at discrete time steps. The pH variation expected from changes in dissolved carbon dioxide was based upon presumptions that the system is buffered by the carbonic acid system, and that alkalinity does not change appreciably during the course of time. These assumptions were confirmed by experimental results. The model successfully predicted diurnal fluctuations in dissolved oxygen, carbon dioxide, and pH in the ABCT process. The model predicted that algae will supply sufficient oxygen during sunny and partly sunny days to eliminate the need for continuous mechanical aeration. This feature should result in significant cost savings over conventional secondary wastewater treatment schemes. Surplus dissolved oxygen produced by algae during the day should be completely depleted at night due to bacterial respiration. This lack of oxygen, in turn, resulted in reduced substrate utilization and potential effluent discharge violations. Mechanical aeration during the night might be one possible remedial strategy. Despite its dynamic behavior, the ABCT process would be a viable and potentially cost efficient wastewater treatment strategy.
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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 disturbance observation with an adaptive sliding model control. Initially, a dynamic model for controlling dissolved oxygen in a recirculating water aquaculture system was developed. The model considers external disturbances like artificial oxygenation, abrupt changes in system flow, and variations in culture oxygen consumption. Secondly, to enhance the robustness and accuracy of controlling dissolved oxygen concentration, the paper introduces a nonlinear adaptive disturbance observer for real-time estimation and observation of external disturbances and system uncertainties. This is accompanied by a sliding-mode control-based adaptive anti-disturbance strategy. Lastly, the simulation results demonstrate that the control strategy proposed in this paper shows resistance to system uncertainties and unknown external disturbances. Furthermore, it reduces the model accuracy requirements for the controller and proves to be suitable for accurately controlling dissolved oxygen in circulating water systems.
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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. The adjustment phase of the KLa model is based on typified excitations of the system through the aeration system of the plant, which allow the estimation of KLa for different values of the aeration intensity parameter, for instance, air flow rate in air diffusion systems, revolution speed in surface aerators, etc. Once the KLa model is adjusted, it is possible to evaluate the KLa value in process conditions at any time. The continuous estimation of rO is carried out starting from the oxygen mass balance in the activatedsludge reactor. This practical methodology has been successfully verified in the Badiolegi WWTP in Azpeitia (Spain), which biological process consists of a double stage AB process, with two different aeration systems: fine pore air diffusers in the A-stage and surface aerators in the B-stage.
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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 Landsat 8 Satellite Imagery, a Case Study on the coast of Tuban, using a computer unit and Seadas 4.7.3 software. Identifying the Tuban coastal area is to get the distribution of sea surface temperature (SST) in the range of 27.717136904597oC to 40.287807002664oC, while dissolved oxygen has a range from 4.670533359051 mg/L to 4.820914387703 mg/L. Dissolved Oxygen Algorithm Model y = 0.0734ln(x) + 4.8917 with R 2 = 0.2677, Sea surface temperature (SST) Algorithm Model y = 4.8634ln(x) + 44.941 with R 2 = 0.2872. The correlation between sea surface temperature (SST) and dissolved oxygen from Landsat 8 satellite imagery is a linear model Y (Dissolved Oxygen) = 91.246 X (Sea Surface Temperature) - 399.14.
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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 experimental analysis. The results show that under the condition of ensuring water quality, the control strategy can reduce aeration energy consumption and guarantee the stability of system.
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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 1 HP paddle aerators produce dissolved oxygen levels was 0.5-8.0 mg/L. The oxygen solubility level from using the paddle aerator was lowest when the shrimp culture period reached 50 days and the highest solubility was 7.5 mg/L. The oxygen solubility rate in shrimp pond waters is also influenced by the temperature stability and other abiotic factors. Finally, the oxygen production rate in the paddle aerator oscillates dynamically throughout the shrimp culture cycle with estimated oxygen production rates ranging from 0.5-8 mg/L.
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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 separation control and compound control of the major and minor loop cascade control to stabilize the given value of dissolved oxygen. The system is fast and steady which is proved by simulation and experiment results.
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Dissertations / Theses on the topic "Dissolved Oxygen dynamic model"

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Pika, Philip. "Exploring the regional and global patterns in organic matter reactivity and its influence on benthic biogeochemical dynamics." Doctoral thesis, Universite Libre de Bruxelles, 2020. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305204.

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Marine sediments are a key component of the global carbon cycle and climate system. They host one of the largest carbon reservoirs on Earth, provide the only long-term sink for atmospheric CO2, recycle nutrients and represent the most important climate archive. Early diagenetic pro- cesses in marine sediments are thus central to our understanding of past, present and future biogeochemical cycling and climate. Because all early diagenetic processes can be directly or indirectly linked back to the degradation of organic matter (OM), advancing this understand- ing requires disentangling the different factors that control the fate of OM (sedimentation, degradation and burial) on different spatial and temporal scales. In general, the heterotrophic degradation of OM in marine sediments is controlled by the quantity and, in particular, by the ap- parent reactivity of OM that settles onto marine sediments. While the potential ((micro)biological, chemical and physical) controls on OM reactivity are increasingly well understood, their relative significance remains difficult to quantify. Traditionally, integrated data-model approaches are used to quantify apparent OM reactivity (i.e. OM degradation rate constants) at well-studied drill-sites. These approaches rely on Reaction-Transport Models (RTMs) that typically account for transport (advection, molecular diffusion, bioturbation, and bioirrigation) and reaction (pro- duction, consumption, equilibrium) processes, but vary in complexity. Apparent OM reactivity (i.e. the OM degradation rate constant) is generally considered as a free parameter that is used to fit observed depth-profiles, reaction rates or benthic-pelagic exchange fluxes. Currently, no quantitative framework exists to predict apparent OM reactivity in areas where comprehensive benthic data sets are not available.To evaluate the impact of this knowledge gap, the sensitivity of benthic biogeochemical reaction rates, as well as benthic-pelagic exchange fluxes to variations in apparent OM reactivity (i.e. reactive continuum model parameters a and ν) is explored by means of a complex, numerical diagenetic model for shelf, slope and deep sea depositional environments. Model results show that apparent OM reactivity exerts a dominant control on the magnitude of biogeochemical reaction rates and benthic-pelagic exchange fluxes across different environments. The lack of a general framework to quantify OM reactivity thus complicates the parametrization of regional and global scale diagenetic models and, thus, compromises our ability to quantify global benthic-pelagic coupling in general and OM degradation dynamics in particular.To make a first step towards an improved systematic and quantitative knowledge of OM reac- tivity, apparent OM reactivity (i.e. reactive continuum model parameters a and ν) is quantified by inverse modelling of organic carbon, sulfate (and methane) sediment profiles, as well as the location of the sulfate-methane transition zone using a complex, numerical diagenetic model for 14 individual sites across different depositional environments. Model results highlight again the dominant control of OM reactivity on biogeochemical reaction rates and benthic exchange fluxes. In addition, results show that, inversely determined ν-values fall within a narrow range (0.1 < ν < 0.2). In contrast, determined a-values span ten orders of magnitude (1 · 10−3 < a < 1·107) and are, thus, the main driver of the global variability in OM reactivity. Exploring these trends in their environmental context reveals that apparent OM reactivity is determined by a dynamic set of environmental controls rather than traditionally proposed single environmental controls (e.g. water depth, sedimentation rate, OM fluxes). However, the high computational demand associated with such a multi-species inverse model approach, as well as the limited availability of comprehensive pore water data, limits the number of apparent OM reactivity estimates. Therefore, while providing important primers for a quantification of OM reactivity on the global scale, inverse model results fall short of providing a predictive framework.To overcome the computational limitations and expand the inverse modelling of apparent OM reactivity to the global scale, the analytical model OMEN-SED is extended by integrating a nG- approximation of the reactive continuum model that is fully consistent with the general structure of OMEN-SED. The new version OMEN-SED-RCM thus provides the computational efficiency required for the inverse determination of apparent OM reactivity (i.e. reactive continuum model parameters a and ν) on the global scale. The abilities of the new model OMEN-SED-RCM in capturing observed local, as well as global patterns of diagenetic dynamics are rigorously tested by model-data, as well as model-model comparison.OMEN-SED-RCM is then used to inversely determine apparent OM reactivity by inverse modelling of 394 individual dissolved oxygen utilisation (DOU) rate measurements. DOU is commonly used as a proxy for OM reactivity, it is more widely available than comprehensive porewater data sets and global/regional benthic maps of dissolved oxygen utilisation rates (DOU) have been derived based on the growing DOU data set. Sensitivity test show that, while inverse modelling of DOU rates fails to provide a robust estimate of RCM parameter ν, it is a good indicator for RCM parameter a. Based on previous findings, parameter ν was thus assumed to be globally constant. Inversely determined a-values vary over order of magnitudes from a = 0.6 years in the South Polar region to a = 5.6 · 106 in the oligotrophic, central South Pacific. Despite a high intra- as well as interregional heterogeneity in apparent benthic OM reactivity, a number of clear regional patterns that broadly agree with previous observations emerge. High apparent OM reactivities are generally observed in regions dominated by marine OM sources and characterized by efficient sinking of OM and a limited degradation during sinking. In contrast, the lowest apparent OM reactivities are observed for regions characterized by low marine primary production rates, in combination with a great distance to the continental shelf and slope, as well as deep water columns. Yet, results also highlight the importance of lateral transport processes for apparent OM reactivity. In particular, deep sea sediments in the vicinity of dynamic continental margin environments or under the influence of strong ocean currents can receive comparably reactive OM inputs from more productive environments and, thus, reveal OM reactivities that are higher than traditionally expected. Finally, based on the observed strong link between apparent OM reactivity (i.e. RCM parameters a) and DOU rate, a transfer function that predicts the order of magnitude of RCM parameter a as a function of DOU is used to derive, to our knowledge, the first global map of apparent OM reactivity.Finally, we use the new global map of apparent OM reactivity to quantify biogeochemical dynamics and benthic-pelagic coupling across 22 benthic provinces that cover the entire global ocean. To this end, the numerical diagenetic model BRNS model is set-up for each province and forced with regionally averaged boundary conditions derived from global data sets, as well as apparent OM reactivities informed by the global OM reactivity map. The 22 regional model set-ups were then used to quantify biogeochemical process rates, as well as benthic carbon and nutrient fluxes in each province and on the global scale. Model results of regional and global fluxes and rates fall well within the range of observed values and also agree with general globally observed patterns. Results also highlight the role of the deeper ocean for benthic-pelagic cycling and indicate towards a large regional variability in benthic cycling at great depth. This is a first step towards a more refined global estimate of benthic biogeochemical cycling that accounts for the global heterogeneity of the seafloor environment. This aspect is critical to improve our understanding of benthic feedbacks on benthic-pelagic coupling and on the carbon-climate system, which can then be incorporated in benthic processes in Earth System Models.<br>Les sédiments marins sont un élément clé du cycle mondial du carbone et du système climatique. Ils abritent l’un des plus grands réservoirs de carbone sur Terre, fournissent le seul puits à long terme pour le CO2 atmosphérique, recyclent les nutriments et constituent les archives climatiques les plus importantes. Les processus de la diagénèse précoce dans les sédiments marins sont donc au cœur de notre compréhension des cycles et du climat biogéochimiques passés, présents et futurs. Étant donné que tous les processus diagénétiques précoces peuvent être directement ou indirectement liés à la dégradation de la matière organique (MO), faire progresser cette compréhension nécessite de démêler les différents facteurs qui contrôlent le devenir de la MO (sédimentation, dégradation et enfouissement) à différentes échelles spatiales et temporelles. En général, la dégradation hétérotrophique de la MO dans les sédiments marins est contrôlée par la quantité et, en particulier, la réactivité apparente de la MO qui se dépose sur les sédiments marins. Bien que les contrôles potentiels ((micro) biologiques, chimiques et physiques) de la réactivité de la MO soient de mieux en mieux compris, leur importance relative reste difficile à quantifier. Traditionnellement, des approches de modèle de données intégrées sont utilisées pour quantifier la réactivité apparente de la MO (c’est-à-dire les constantes de vitesse de dégradation de la MO) sur des sites de forage bien étudiés. Ces approches reposent sur des modèles de réaction-transport (RTM) qui tiennent généralement compte des processus de transport (advection, diffusion moléculaire, bioturbation et bio-irrigation) et de réaction (production, consommation, équilibre), mais leur complexité varie. La réactivité apparente de la MO est généralement considérée comme un paramètre libre qui est utilisé pour ajuster les profils de profondeur, les taux de réaction ou les flux d’échange benthique-pélagique observés. À l’heure actuelle, aucun cadre quantitatif n’existe pour prédire la réactivité apparente de la MO dans les zones où aucun ensemble complet de données benthiques n’est disponible.Pour évaluer l’impact de ce manque de connaissance, nous avons exploré la sensibilité des taux de réaction biogéochimiques benthiques, ainsi que des flux d’échange benthique-pélagique aux variations de la réactivité apparente de la MO (c.-à-d. les paramètres du modèle de con- tinuum réactif a et ν) au moyen d’un modèle diagénétique numérique complexe appliqué aux zones de dépôts sur les plateaux, les talus et en haute mer. Les résultats du modèle montrent que la réactivité apparente de la MO exerce un contrôle dominant sur l’ampleur des taux de réaction biogéochimiques et des flux d’échange benthique-pélagique dans différents environ- nements. L’absence d’un cadre général pour quantifier la réactivité de la MO complique donc la paramétrisation des modèles diagénétiques à l’échelle régionale et mondiale et, ainsi, compromet notre capacité à quantifier le couplage benthique-pélagique global en général et la dynamique de dégradation de la MO en particulier.Pour tendre à meilleure connaissance systématique et quantitative de la réactivité de la MO, la réactivité apparente OM (c.-à-d. les paramètres du modèle de continuum réactif a et ν) est quantifiée par modélisation inverse des profils de sédiments organiques de carbone, de sulfate (et de méthane), ainsi que localisation de la zone de transition sulfate-méthane à l’aide d’un modèle diagénétique numérique complexe pour 14 sites individuels à travers différents environnements de dépôt. Les résultats du modèle mettent à nouveau en évidence le contrôle dominant de la réactivité de l’OM sur les taux de réaction biogéochimiques et les flux d’échanges benthiques. De plus, les résultats montrent que les valeurs déterminées inversement déterminées se situent dans une plage étroite (0,1 <ν<0,2). En revanche, les valeurs déterminées s’étendent sur dix ordres de grandeur (1 ·10−3 <ν< 1·107) et sont donc le principal moteur de la variabilité globale de la réactivité OM. L’exploration de ces tendances dans leur contexte environnemental révèle que la réactivité apparente de l’OM est déterminée par un ensemble dynamique de contrôles environnementaux plutôt que par des contrôles environnementaux uniques traditionnellement proposés (par exemple, la profondeur de l’eau, le taux de sédimentation, les flux OM). Cependant, la forte demande de calcul associée à une telle approche de modèle inverse multi-espèces, ainsi que la disponibilité limitée de données complètes sur l’eau interstitielle, limitent le nombre d’estimations apparentes de la réactivité OM. Par conséquent, tout en fournissant des amorces importantes pour une quantification de la réactivité de l’OM à l’échelle mondiale, les résultats du modèle inverse sont loin de fournir un cadre prédictif.Pour surmonter les limites de calcul et étendre la modélisation inverse de la réactivité apparente de l’OM à l’échelle mondiale, le modèle analytique OMEN-SED est étendu en intégrant une approximation nG du modèle de continuum réactif qui est pleinement cohérente avec la structure générale d’OMEN-SED. La nouvelle version OMEN-SED-RCM fournit ainsi l’efficacité de calcul requise pour la détermination inverse de la réactivité apparente de l’OM (c’est-à-dire les paramètres du modèle de continuum réactif a et ν) à l’échelle mondiale. Les capacités du nouveau modèle OMEN-SED-RCM à capturer les modèles locaux et globaux de dynamique diagénétique observés sont rigoureusement testés par les données du modèle, ainsi que la comparaison modèle- modèle.OMEN-SED-RCM est ensuite utilisé pour déterminer inversement la réactivité apparente de l’OM par modélisation inverse de 394 mesures individuelles du taux d’utilisation de l’oxygène dissous (DOU). Le DOU est couramment utilisé comme indicateur de la réactivité de l’OM, il est plus largement disponible que les ensembles de données exhaustifs sur l’eau interstitielle et les cartes benthiques mondiales/régionales des taux d’utilisation de l’oxygène dissous (DOU) ont été dérivées sur la base de l’ensemble de données DOU croissant. Le test de sensibilité montre que, bien que la modélisation inverse des taux de DOU ne fournisse pas une estimation robuste du paramètre RCM ν, c’est un bon indicateur pour le paramètre RCM a. Sur la base des résultats précédents, le paramètre ν a donc été supposé être globalement constant. Les valeurs a déterminées à l’inverse varient selon l’ordre de grandeur, de a = 0,6 an dans la région polaire sud à a = 5, 6 · 106 dans le Pacifique sud oligotrophique central. Malgré une forte hétérogénéité intra et interrégionale dans la réactivité apparente de la MO benthique, un certain nombre de schémas régionaux clairs qui correspondent largement aux observations précédentes émergent. Des réactivités apparentes élevées de l’OM sont généralement observées dans les régions dominées par des sources marines de MO et caractérisées par un naufrage efficace de l’OM et une dégradation limitée pendant le naufrage. En revanche, les réactivités MO apparentes les plus faibles sont observées pour les régions caractérisées par de faibles taux de production primaire marine, en combinaison avec une grande distance du plateau continental et de la pente, ainsi que des colonnes d’eau profonde. Pourtant, les résultats mettent également en évidence l’importance des processus de transport latéral pour la réactivité apparente de l’OM.En particulier, les sédiments des mers profondes au voisinage d’environnements de marge continentale dynamiques ou sous l’influence de forts courants océaniques peuvent recevoir des apports OM de réactivité comparable provenant d’environnements plus productifs et, ainsi, révéler des réactivités OM plus élevées que ce qui était traditionnellement prévu. Enfin, sur la base du lien fort observé entre la réactivité apparente de l’OM (c’est-à-dire le paramètre RCM a) et le taux DOU, une fonction de transfert qui prédit l’ordre de grandeur du paramètre RCM a en fonction de DOU est utilisée pour dériver, pour nos connaissances, la première carte mondiale de la réactivité apparente de l’OM. Les résultats du modèle des flux et des taux régionaux et mondiaux se situent bien dans la gamme des valeurs observées et également d’accord avec les tendances générales observées au niveau mondial. Les résultats mettent également en évidence le rôle de l’océan profond pour le cycle benthique-pélagique et indiquent une grande variabilité régionale du cycle benthique à grande profondeur. Il s’agit d’une première étape vers une estimation mondiale plus précise du cycle biogéochimique benthique qui tient compte de l’hétérogénéité mondiale du milieu marin. Cet aspect est essentiel pour améliorer notre compréhension des rétroactions benthiques sur le couplage benthique-pélagique et sur le système carbone-climat, qui peuvent ensuite être incorporées aux processus benthiques dans les modèles du système terrestre.<br>Doctorat en Sciences<br>info:eu-repo/semantics/nonPublished
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Cox, Brian A. "Dynamic modelling of dissolved oxygen : a case-study for the River Thames." Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250691.

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Shi, Jianhua. "Steady-state and dynamic modelling of the dissolved oxygen concentration in rivers." Thesis, University of Ulster, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413292.

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Kieffer, Janna Marie. "DEVELOPMENT OF A NUTRIENT AND DISSOLVED OXYGEN WATER QUALITY MODEL FOR THE SAINT LOUIS BAY WATERSHED." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042002-152829/.

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Nutrient enrichment, which can be detrimental to the health of aquatic systems, is one of the leading causes of impairment of our Nations? waters. Development and initial calibration of a hydrologic, hydrodynamic, and water quality model of dissolved oxygen and nutrient concentration for the St. Louis Bay watershed in coastal Mississippi is documented herein. The model was developed using the USEPA BASINS 3.0 analysis system and WinHSPF, a comprehensive watershed loading and transport modeling software. The resulting model simulates significant watershed and instream physical, chemical and biological processes including rainfall runoff and associated water quality from a variety of land use categories. Extensive data describing the study area, land use practices, hydrology and water quality are presented, analyzed and discussed relative to model development and adequacy to support future modeling projects. Integration of this data into a valuable water quality assessment model and preliminary model calibration is also presented.
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D'Amico, Daniel Frank. "Dissolved Oxygen in the Oceans: An Examination of the Late Ordovician and the Near Future Using an Earth System Climate Model." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1502977719709906.

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Yin, Weiwei. "The role and regulatory mechanisms of nox1 in vascular systems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44833.

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As an important endogenous source of reactive oxygen species (ROS), NADPH oxidase 1 (Nox1) has received tremendous attention in the past few decades. It has been identified to play a key role as the initial "kindle," whose activation is crucial for amplifying ROS production through several propagation mechanisms in the vascular system. As a consequence, Nox1 has been implicated in the initiation and genesis of many cardiovascular diseases and has therefore been the subject of detailed investigations. The literature on experimental studies of the Nox1 system is extensive. Numerous investigations have identified essential features of the Nox1 system in vasculature and characterized key components, possible regulatory signals and/or signaling pathways, potential activation mechanisms, a variety of Nox1 stimuli, and its potential physiological and pathophysiological functions. While these experimental studies have greatly enhanced our understanding of the Nox1 system, many open questions remain regarding the overall functionality and dynamic behavior of Nox1 in response to specific stimuli. Such questions include the following. What are the main regulatory and/or activation mechanisms of Nox1 systems in different types of vascular cells? Once Nox1 is activated, how does the system return to its original, unstimulated state, and how will its subunits be recycled? What are the potential disassembly pathways of Nox1? Are these pathways equally important for effectively reutilizing Nox1 subunits? How does Nox1 activity change in response to dynamic signals? Are there generic features or principles within the Nox1 system that permit optimal performance? These types of questions have not been answered by experiments, and they are indeed quite difficult to address with experiments. I demonstrate in this dissertation that one can pose such questions and at least partially answer them with mathematical and computational methods. Two specific cell types, namely endothelial cells (ECs) and vascular smooth muscle cells (VSMCs), are used as "templates" to investigate distinct modes of regulation of Nox1 in different vascular cells. By using a diverse array of modeling methods and computer simulations, this research identifies different types of regulation and their distinct roles in the activation process of Nox1. In the first study, I analyze ECs stimulated by mechanical stimuli, namely shear stresses of different types. The second study uses different analytical and simulation methods to reveal generic features of alternative disassembly mechanisms of Nox1 in VSMCs. This study leads to predictions of the overall dynamic behavior of the Nox1 system in VSMCs as it responds to extracellular stimuli, such as the hormone angiotensin II. The studies and investigations presented here improve our current understanding of the Nox1 system in the vascular system and might help us to develop potential strategies for manipulation and controlling Nox1 activity, which in turn will benefit future experimental and clinical studies.
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Moatar-Bertrand, Florentina. "Modélisations statistiques et déterministes des paramètres physico-chimiques utilisés en surveillance des eaux de rivières : application à la validation des séries de mesures en continu (cas de la Loire moyenne)." Grenoble INPG, 1997. http://www.theses.fr/1997INPG0219.

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Pour la surveillance hydroecologique des centrales nucleaires, des stations automatiques mesurent en continu quatre parametres physico-chimiques : la temperature de l'eau, l'oxygene dissous, le ph et la conductivite electrique. Ces stations produisent a chaque heure des mesures de la qualite de l'eau prelevee en amont, en aval et au droit du rejet des centrales. Ce travail propose un ensemble d'outils permettant la critique et la validation de ces donnees. Ces outils devraient permettre de detecter les valeurs aberrantes, les discontinuites et les derives des enregistrements les plus frequemment observees. La procedure mise au point compare, a travers des tests statistiques classiques, la mesure a d'autres informations : autres mesures ou previsions de modele. Les modeles s'appuient soit sur les proprietes internes de la serie temporelle de chaque variable consideree, soit sur des relations avec des variables externes hydro-meteorologiques : temperature de l'air, rayonnement solaire et debit. Ces liaisons peuvent s'exprimer soit par un modele totalement ou partiellement deterministe, soit par un modele statistique, l'un comme l'autre necessitant une calibration sur des donnees anciennes. On a notamment utilise les modeles de box et jenkins, les reseaux de neurones ou des modeles deterministes comme calnat ou une adaptation de biomox (edf- chatou). Ces methodes et outils ont ete developpes et appliques en validation croisee sur cinq annees de donnees pour la loire a dampierre (1990-1994).
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Cathey, Anna M. "The calibration, validation, and sensitivity analysis of DoSag an in-stream dissolved oxygen model /." 2005. http://purl.galileo.usg.edu/uga%5Fetd/cathey%5Fanna%5Fm%5F200505%5Fms.

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PARVEEN, NUZHAT. "DEVELOPMENT OF REFINED DO MODEL FOR HIGHLY POLLUTED GOMTI RIVER AT LUCKNOW STRETCH." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15103.

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This analysis was aimed to determine the current status of river Gomti along the Lucknow stretch. Physico-chemical characteristics, level of organic matter, various heavy metals and sewage pollution and their variation has been studied from upstream to downstream of Lucknow. Gaughat is upstream region and Pipraghat is downstream of Lucknow. Analysis has been done from upstream to downstream regions of the river. Water samples are subjected to analysis like BOD and DO. Study concluded that large number of drains are responsible for pollution in river Gomti that enter directly into the river carrying untreated industrial and domestic waste. Some other causes are like removal of solid wastes at pumping stations is still manual, sometimes pumping station does not work , so the sewage waste is by passed directly to the river Gomti or when most of the branch and trunk sewers do not function properly. Study indicates that the water quality has been deteriorated from Gaughat to Pipraghat due to discharge of untreated waste water from about 26 major drains in its entire course. Water of the river Gomti at upstream of Lucknow i.e.Gaughat showed minimum BOD and maximum dissolved oxygen. But due to the presence of 26 drains dissolved oxygen level decreases along its stretch and showed minimum DO at Pipraghat.
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Chang, Wei-Sheng, and 張偉陞. "Application and Modification of Sediment Intrusion and Dissolved Oxygen Transport Model SIDO for Gravel-Bed Rivers." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/12905813922398802448.

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碩士<br>國立臺灣大學<br>農業工程學研究所<br>89<br>This study applies and modifies the SIDO model (Sediment Intrusion and Dissolved Oxygen Transport Model) to evaluate salmonid embryo survival in gravel-bed rivers. SIDO model, developed by NRCS and ARS of USDA, includes computation of stream and redd domains. The model uses open-channel flow and sediment-transport equations to determine water surface profile, bedload transport rate, and suspended load concentration. These results are used to evaluate the distributions of pore velocity, sediment deposition, DO, and embryo survival in the redd domain, and the impact of watershed soil erosion on salmonid spawning gravels. This study uses the SIDO input data of the existing and restored watershed conditions in the simulation. The results indicate that the restoration measures in the watershed reduce sediment input and thus significantly increase survival rate. This study uses the SIDO geometry parameter to carry out simulations under different redd conditions. The results indicate that the redd morphology produced by female salmonid benefits the pore velocity and embryo survival. This study also compares the Tappel and Bjornn formula and Wu formula for evaluating embryo survival. The results reveal that the survival rates predicted by Tappel and Bjornn formula are generally higher, while the survival rates predicted by Wu formula are very sensitive to pore velocity. This study uses SIDO model to simulate the penetrative intrusions of all sediment and fine sediment (silt and clay) and evaluate the effect of coarse sand on pore blockage. The results show that coarse sands block the pores faster but fine sediments are more influential to embryo survival. This study develops a modified SIDO model that combines the filtration mechanism of coarse sand and penetration mechanism of fine sediment, and compares the modified model with the SIDO penetrative intrusion model. The results indicate that the combined intrusion mechanism is governed by filtration mechanism. The pores in the surface layer are rapidly clogged by the coarse sand. Accordingly, the pore velocities are reduced and the survival rate reaches a constant value. The results of SIDO penetrative intrusion do not reveal significant changes in the early stages of simulation. However, the embryo survival rate reduces sharply when the accumulated sediment starts to block the pores, which indicates that the fine sediment may have larger effect on embryo survival in the late incubation period.
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Books on the topic "Dissolved Oxygen dynamic model"

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Shi, Jianhua. Steady-state and dynamic modelling of the dissolved oxygen concentration in rivers. The Author], 2003.

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Cusimano, Robert F. Snohomish River estuary dry season TMDL study, phase I: Water quality model calibration. Washington State Dept. of Ecology, Environmental Investigations and Laboratory Services Program, Watershed Assessments Section, 1995.

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Cusimano, Robert F. Snohomish River estuary dry season TMDL study, phase II: Water quality model confirmation and pollutant loading capacity recommendations. Washington State Dept. of Ecology, Environmental Investigations and Laboratory Services Program, Watershed Assessments Section, 1997.

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), Reno (Nev, Sparks (Nev ), and Geological Survey (U.S.), eds. Documentation for a digital computer model of nutrient and dissolved-oxygen transport in the Truckee River and Truckee Canal downstream for Reno, Nevada. Dept. of the Interior, U.S. Geological Survey, 1987.

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Ou-yang, Ying. Dynamic mathematical model of oxygen and carbon dioxide exchange between soil and atmosphere. 1986.

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Chesapeake Bay dissolved oxygen goal for restoration of living resource habitats: A synthesis of living resource habitat requirements with guidelines for their use in evaluating model results and monitoring information. Maryland Dept. of Natural Resources, Tidewater Administration, Chesapeake Bay Research and Monitoring Division for the Chesapeake Bay Program, 1992.

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Book chapters on the topic "Dissolved Oxygen dynamic model"

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Yalin, Liu, Wei Yaoguang, and Chen Yingyi. "Dissolved Oxygen Prediction Model Which Based on Fuzzy Neural Network." In Computer and Computing Technologies in Agriculture VII. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54341-8_57.

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Wan, Yingxing, Cuili Yang, and Yilong Liang. "Design of Dissolved Oxygen Online Controller Based on Adaptive Dynamic Programming Theory." In International Conference on Neural Computing for Advanced Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5844-3_4.

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Wang, Yigang, and Xi Li. "3D Hydro Environmental Model of Dissolved Oxygen Distribution in Yangtze Estuary." In Advances in Water Resources and Hydraulic Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89465-0_119.

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Bahita, Mohamed, Mouatez Bilah M’Haimoud, and Abdelmoula Ladjabi. "Model Based Model Reference Adaptive Control of Dissolved Oxygen in a Waste Water Treatment Process." In Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97196-0_39.

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Mukherjee, Sayantika, Srimanta Gupta, and Sumanta Nayek. "Water Quality Predictive Analysis and Forecasting Dissolved Oxygen (DO) Using Neural Network Model." In Intelligent Systems and Simulation. CRC Press, 2025. https://doi.org/10.1201/9781003638414-15.

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García, A., J. A. Revilla, R. Medina, C. Álvarez, and J. A. Juanes. "A model for predicting the temporal evolution of dissolved oxygen concentration in shallow estuaries." In Nutrients and Eutrophication in Estuaries and Coastal Waters. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-2464-7_17.

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Pinheiro, M. J., C. M. Ferreira, and G. Gousset. "Multicomponent Reactive Gas Dynamic Model for Low-Pressure Discharges in Flowing Oxygen." In Molecular Physics and Hypersonic Flows. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0267-1_31.

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Talbot-Pedersen, A., M. R. Neuman, G. M. Saidel, and E. Jacobsen. "Estimation of the Determinants of Transcutaneous Oxygen Tension Using a Dynamic Computer Model." In Continuous Transcutaneous Monitoring. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1927-6_49.

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Sarmiento, J. L., and J. R. Toggweiler. "A Preliminary Model of the Role of Upper Ocean Chemical Dynamics in Determining Oceanic Oxygen and Atmospheric Carbon Dioxide Levels." In Dynamic Processes in the Chemistry of the Upper Ocean. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5215-0_18.

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Kirchheck, Daniel, Dominik Saile, and Ali Gülhan. "Rocket Wake Flow Interaction Testing in the Hot Plume Testing Facility (HPTF) Cologne." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53847-7_9.

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Abstract Rocket wake flows were under investigation within the Collaborative Research Centre SFB/TRR40 since the year 2009. The current paper summarizes the work conducted during its third and final funding period from 2017 to 2020. During that phase, focus was laid on establishing a new test environment at the German Aerospace Center (DLR) Cologne in order to improve the similarity of experimental rocket wake flow–jet interaction testing by utilizing hydrogen–oxygen combustion implemented into the wind tunnel model. The new facility was characterized during tests with the rocket combustor model HOC1 in static environment. The tests were conducted under relevant operating conditions to demonstrate the design’s suitability. During the first wind tunnel tests, interaction of subsonic ambient flow at Mach 0.8 with a hot exhaust jet of approx. 920 K was compared to previously investigated cold plume interaction tests using pressurized air at ambient temperature. The comparison revealed significant differences in the dynamic response of the wake flow field on the different types of exhaust plume simulation.
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Conference papers on the topic "Dissolved Oxygen dynamic model"

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Mack, Robert. "Stress Corrosion Cracking of High Strength Steels in Aqueous Solutions Containing CO2." In CORROSION 2001. NACE International, 2001. https://doi.org/10.5006/c2001-01076.

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Abstract CO2-SCC of seven quenched and tempered, high strength low alloy steels has been demonstrated in a series of laboratory experiments that were designed to study the effect of temperature, specimen loading (dynamic and static), strain rate, oxygen variation via deaeration technique, test temperature, and yield strength. The mode of fracture was exclusively intergranular. In this study, stress corrosion cracking experiments were performed in aqueous solutions with and without NaCl, and 0 to 1000 psi (6900 kPa) CO2, while at temperatures from 150° to 400°F (66° to 204°C). For these quenched and tempered, high strength, low alloy steels, the susceptibility to CO2- SCC increased with dissolved oxygen, CO2 partial pressure, and yield stress. The effect of NaCl varied. Maximum susceptibility occurred between 150° and 350°F (66° and 177°C). Dynamic straining at low rates, i.e., 2 × 10-6 sec-1 and less, demonstrated a wider range of materials and temperatures for which CO2-SCC can occur. Although no field failures are known to have occurred downhole by this mechanism, these results cause concern regarding the use of these steels in production environments with high concentrations of CO2. More work is required to fully define the environmental and material envelopes of use of high strength steels in sweet high temperature, high pressure wells.
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Adane, Kofi Freeman, Aaron Fuhr, and Martin Huard. "Modeling Abrasion-Corrosion in Horizontal Pipeline Slurry Flows." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13125.

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Abstract Abrasion-corrosion wear rates in horizontal pipeline slurry flow were modelled using novel semi-empirical and numerical approaches. The numerical approach, computational fluid dynamic (CFD) was only used to model abrasive wear. The abrasive wear model that came with the CFD software was also used. The novel semi-empirical approach adopts several existing models to predict abrasion-corrosion wear rates. The objective of the study was to assess a simple tool that can be used to identify risk, perform “what-if-scenarios” and/or pipeline system optimization, especially situations where there is no accurate measured or computed local flow parameters available. Predicted results were compared with previously acquired hydrodynamic and wear data in our pilot-scale slurry flow loop for both mild steel and dual-phase stainless steel pipe spools. Slurry consisted of sand mixed with municipal water. The study was done in a 193.7 mm (7.625 in) horizontal pipe with mixture velocity of 4.5 and 7 m/s at solids concentration of about 20 v/v% and dissolved oxygen concentration of 1.0 ppm. Our proposed novel modeling approach results were found to be in reasonable agreement with measured data, and can easily be integrated with existing hydrodynamic models or tools. However, further improvement maybe required if quantitative accuracy is needed. The abrasive model that came with CFD software package fails to predict both wear pattern and magnitude. It seems to be somewhat inversely correlated with wall shear stress which is contrary to measured data. Also, CFD fails to predict expected solids velocity profile in stratified or slurry flow with moving bed. Further investigation is required for this flow regime.
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Liu, Hongmei, and Shuai Zhao. "Integrated Heterogeneous Fusion Transformer Model for Marine Dissolved Oxygen Prediction." In 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). IEEE, 2024. https://doi.org/10.1109/icftic64248.2024.10913281.

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Ferri, Vito, Sele Okeoghene Thomas, Andrea Bordone, et al. "A Multi-Stage Model for Dissolved Oxygen Monitoring of Coastal Seawater." In 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). IEEE, 2024. https://doi.org/10.1109/metrosea62823.2024.10765778.

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Pably, Philipp, Jakob K. Huusom, and Julian Kager. "Model Predictive Control to Avoid Oxygen Limitations in Microbial Cultivations - A Comparative Simulation Study." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.140003.

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Maintaining sufficient amounts of dissolved oxygen throughout a microbial cultivation is a classic control task in bioprocess engineering to avoid negative effects onto cell physiology and productivity. But traditional PID-based algorithms struggle when faced with pulsed substrate additions and the resulting sudden surge of oxygen uptake. In this work a nonlinear MPC is employed and compared to a PID setup for the cultivation of an E. coli strain exposed to intermittent feeding. Both controllers are tuned for a fast pulse response combined with efficient and robust control action. Their performance was tested in-silico with isolated feed pulses, as well as throughout a full cultivation run. Further, the effects of parameter uncertainty were investigated to assess the impact of a model-plant mismatch. The results showed that the predictive nature of the MPC is well suited for maintaining the dissolved oxygen levels above a threshold and outperforms the PID in almost all investigated simulation scenarios.
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Brandolin, Gustavo, Matheus Biava, Nathalia Mota, et al. "Corrosion Resistance of AISI 316 (UNS S31600) Stainless Steel at near Deaerated-Seawater Systems under Stagnant and Dynamic Flow Conditions." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19283.

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Abstract The detrimental effect of natural seawater on corrosion resistance of stainless steels has been studied over the years by the Oil and Gas industry. Based on past studies, it is known that oxygenated-seawater systems limit the material selection, where only high Pitting Resistance Equivalent number (PREN above 40) CRAs are technically feasible for such environments. Oxygen scavengers have been used to treat seawater at certain levels of dissolved oxygen (DO), allowing the use of UNS(1) S31600 steel on treated-seawater systems.1 The aim of this paper is to define practical safe limits for UNS S31600 (i.e., operating standpoint) of dissolved oxygen in seawater-carrying systems for flowing conditions, as well as identify the effectiveness of the proposed preservation solutions in stagnant flow under different bisulfite additions and periods of immersion. Immersion tests per ASTM(2) G31,2 creviced and non-creviced samples, base metal and welded joints, were performed to evaluate the corrosion performance of the alloy under near-deaerated stagnant condition for 1 and 3 months, simulating the preservation of piping systems when not in normal operation. In addition, customized test under dynamic flowing condition in a piping loop were also performed in near-deaerated environment, simulating the operating scenario, where the parameters dissolved oxygen, pH and temperature were automatically monitored for 3 months (test duration). The results showed that localized corrosion was higher in dynamic flow condition in comparison to stagnant flow condition. However, crevice corrosion seems to be more detrimental to the alloy (especially for welded joints), considering specific test scenarios.
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Xu, Xiao, Chen Guo, Jia Fan, Hongbo Xu, Yang Yu, and Peng Wan. "A Multi-Step Prediction Model Based on Wavelet Transform and Deep Learning Techniques for Predicting Dissolved Oxygen Concentration." In 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2024. https://doi.org/10.1109/acait63902.2024.11022269.

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Sundararajan, Guru Prasad, Andrzej Anderko, Sinchana Rao, Deepti Ballal, and Tom Bos. "Improved Localized Corrosion Models for Stainless Steels in Aqueous Chloride Environments with Low Levels of Dissolved Oxygen." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-17955.

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ABSTRACT Experimental foundation has been established for improving corrosion models for stainless steels exposed to aqueous chloride media with low levels of dissolved oxygen. Accurate repassivation potentials were measured for UNS S31603 and UNS S32305 alloys in chloride electrolytes at room and elevated temperatures using Tsujikawa-Hisamatsu Electrochemical (THE) and Cyclic Potentiodynamic Polarization (CPP) methods. It was observed that the repassivation potential values measured from CPP methods were lower than the ones obtained from THE method for the same environmental conditions. Cyclic polarization scans in aqueous chloride media were conducted at different reverse scan rates resulting in varied repassivation potentials. Medium-term corrosion potentials were measured in chloride media with controlled oxygen levels ranging from 20 – 400 ppb. These results were used as inputs for improving model prediction for repassivation and corrosion potentials. With a flexible definition of the repassivation current density, the previously developed mechanistic repassivation model reproduces the experimental repassivation potentials obtained using THE and CPP methods. Dependence of corrosion potential on dissolved oxygen has been modeled using a mixed-potential model. It has been demonstrated that the effect of agitation (caused by bubbling of oxygen) needs to be accounted for to describe the corrosion potential, especially at low dissolved oxygen where mass transport is important.
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Kurban, Sena, Asli Yasmal, Oktay Samur, et al. "Future Forecasting of Dissolved Oxygen Concentration in Wastewater Treatment Plants using Deep Learning Techniques." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.137038.

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Predicting water quality is essential for effective environmental management and pollution control. Dissolved oxygen (DO), one of key water quality parameters, plays a vital role in biological wastewater treatment [1]. This study aims to forecast DO levels in activated sludge tanks of an oil refinery�s wastewater treatment plant (WWTP). Proper oxygen concentration is critical for microbial activity, as inadequate levels can disrupt the biological breakdown of pollutants. The objective is to develop predictive models to identify operational risks early, enhancing treatment efficiency and optimizing resources like chemicals, bacterial cultures, and aeration systems. Additionally, the study aims to provide early warnings to operators, minimizing reliance on laboratory tests and ensuring optimal conditions for bacteria, leading to better operational performance, cost reduction, and improved water quality ultimately promoting sustainable wastewater treatment. Various deep learning models, including Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long-Short Term Memory (LSTM), were applied to a two-year real-time dataset with 24 features and 8-hour intervals. Model performance was assessed using process data for training, validation, and testing. The results reveal that GRU-based models effectively predict DO concentration in sludge tanks, achieving an R� of 0.7, MSE of 0.01, and MAE of 0.07. These soft sensors demonstrate strong potential for system control.
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Hettiarachchi, S., and M. E. Indig. "Electrochemical Studies on Corrosion of Zircaloy 2 and Zircaloy 4." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93189.

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Abstract Studies on the corrosion of Zircaloys in high temperature aqueous environments has received increasing attention in the recent years. The present investigation shows that Zircaloy undergoes dynamic active/passive transitions at lower temperatures, and the transitions disappear at 289°C in the presence of ~ 250 ppb O2. However, the active/ passive transitions reappear at lower oxygen contents at 289°C. It is postulated that stable passivity of Zircaloys in high temperature aqueous environments requires a high dissolved oxygen content
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Reports on the topic "Dissolved Oxygen dynamic model"

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Yang, Zhaoqing, Tarang Khangaonkar, Rochelle G. Labiosa, and Taeyun Kim. Puget Sound Dissolved Oxygen Modeling Study: Development of an Intermediate-Scale Hydrodynamic Model. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1001512.

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Khangaonkar, Tarang, Brandon Sackmann, Wen Long, Teizeen Mohamedali, and Mindy Roberts. Puget Sound Dissolved Oxygen Modeling Study: Development of an Intermediate Scale Water Quality Model. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1140111.

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Bevelhimer, Mark S., and Charles C. Coutant. Assessment of Dissolved Oxygen Mitigation at Hydropower Dams Using an Integrated Hydrodynamic/Water Quality/Fish Growth Model. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/934797.

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Eliason, D. E. A one dimensional numerical model, with an application to the vertical distribution of dissolved oxygen in the ocean. Manual: M1D. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10175243.

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Metcalf, William G., Marvel C. Stalcup, and Marguerite E. Zemanovic. Hydrographic station data : Caribbean Sea, Atlantis II cruise 78 and Knorr cruise 37. Woods Hole Oceanographic Institution, 2022. http://dx.doi.org/10.1575/1912/28637.

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During Cruise 37 of the Research Vessel KNORR,91 hydrographic stations were occupied,most of them in the general area of the Windward Passage, eastern Cayman Basin, Mona Passage and across the Caribbean Sea from Puerto Rico to Venezuela. Vertical profiles of potential temperature, salinity, dissolved oxygen and dissolved silicate are presented. The data lists include, in addition to the observed parameters, such computed values as pressure, potential temperature, potential density, specific volume anomaly, sound velocity, dynamic height, potential energy, Vaisala frequency and Vaisala period. Also included in the data lists are 28 hydrographic stations occupied during November 1973 on Cruise 78 of the Research Vessel ATIANTIS II in the Windward Passage, Central Caribbean Sea and the Atlantic Ocean just east of the Lesser Antilles.
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Lieth, J. Heiner, Michael Raviv, and David W. Burger. Effects of root zone temperature, oxygen concentration, and moisture content on actual vs. potential growth of greenhouse crops. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7586547.bard.

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Soilless crop production in protected cultivation requires optimization of many environmental and plant variables. Variables of the root zone (rhizosphere) have always been difficult to characterize but have been studied extensively. In soilless production the opportunity exists to optimize these variables in relation to crop production. The project objectives were to model the relationship between biomass production and the rhizosphere variables: temperature, dissolved oxygen concentration and water availability by characterizing potential growth and how this translates to actual growth. As part of this we sought to improve of our understanding of root growth and rhizosphere processes by generating data on the effect of rhizosphere water status, temperature and dissolved oxygen on root growth, modeling potential and actual growth and by developing and calibrating models for various physical and chemical properties in soilless production systems. In particular we sought to use calorimetry to identify potential growth of the plants in relation to these rhizosphere variables. While we did experimental work on various crops, our main model system for the mathematical modeling work was greenhouse cut-flower rose production in soil-less cultivation. In support of this, our objective was the development of a Rose crop model. Specific to this project we sought to create submodels for the rhizosphere processes, integrate these into the rose crop simulation model which we had begun developing prior to the start of this project. We also sought to verify and validate any such models and where feasible create tools that growers could be used for production management. We made significant progress with regard to the use of microcalorimetry. At both locations (Israel and US) we demonstrated that specific growth rate for root and flower stem biomass production were sensitive to dissolved oxygen. Our work also identified that it is possible to identify optimal potential growth scenarios and that for greenhouse-grown rose the optimal root zone temperature for potential growth is around 17 C (substantially lower than is common in commercial greenhouses) while flower production growth potential was indifferent to a range as wide as 17-26C in the root zone. We had several set-backs that highlighted to us the fact that work needs to be done to identify when microcalorimetric research relates to instantaneous plant responses to the environment and when it relates to plant acclimation. One outcome of this research has been our determination that irrigation technology in soilless production systems needs to explicitly include optimization of oxygen in the root zone. Simply structuring the root zone to be “well aerated” is not the most optimal approach, but rather a minimum level. Our future work will focus on implementing direct control over dissolved oxygen in the root zone of soilless production systems.
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Jones, Thomas, Richard Strachan, David Mackie, Mervyn Cooper, Brian Frame, and Jan Vorstius. Phase Field & Monte Carlo Potts Simulation of Grain Growth and Morphology of Vertically Upwards Cast Oxygen Free Copper. University of Dundee, 2021. http://dx.doi.org/10.20933/100001287.

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A 2-D Phase-Field coupled Monte Carlo-Potts model, using PhasePot of vertically upwards continuous casting (VUCC) of oxygen free copper (OFCu) was investigated to reveal the grain growth morphology and the withdrawal parameters required to produce a high-quality homogeneity within the grain structure. A dynamic moving reference frame was used as an approximation to the complex withdrawal parameters. The simulation results were validated alongside cast rod grain structures produced under the same cast parameters, at Rautomead Ltd on a RS080 VUCC machine.
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8

Schofield, Ian S., Paul L. Brown, Mark J. Logsdon, and Matthew P. Wickham. Waste Rock Dump Characterization Studies at the Bingham Canyon Mine. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/mp-179.

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The Bingham Canyon Mine, located near Salt Lake City, Utah, is surrounded by more than 6 billion tons of waste rock developed over the open cut mining history from 1903 to present; the surface area of the waste rock is approximately 5000 acres. Waste rock dumps have a thickness of more than 1 200 feet from crest to toe. From 1930 to 2000, selected portions of the waste rock dumps were commercially leached using a ferric-sulfate-based lixiviant to extract copper, whereas other portions have only received meteoric leaching. From 2011 to present, Rio Tinto Kennecott has studied the evolution and geochemical controls on water chemistry associated with the waste rock dumps at the Bingham Canyon Mine. In this program, the waste rock dumps have been characterized in detail from the field logging of, and data collected from instrumentation installed within, 13 paired borings. At 12 of the 13 locations, the borings penetrated the full depth of the dumps, through the pre-mine soil contact, and into bedrock. Borings were installed to depths approaching 900 feet below ground surface using roto-sonic drilling methods to enable (1) core recovery and (2) measurement of near in situ properties. Field logging of the borings included Unified Soil Classification System descriptions, clast lithology, relative oxidation, paste pH, and geophysical methods (gyroscopic, temperature, neutron, and gamma). Core from the borings was analyzed for geotechnical properties (density, grain size distribution, moisture content, plasticity index and limit, and direct and block shear), quantitative evaluation of minerals by scanning electron microscopy (QEMSCAN), modified acid-base accounting (ABA), modified synthetic precipitation leaching procedure (SPLP), and hyperspectral analysis by CoreScan. If water was encountered during the drilling process at sufficient volumes for collection from the core barrel, samples were collected for chemical analysis. Instrumentation installed within the borings included lysimeters, thermistor nodes, direct temperature sensing (DTS) fiber optic cables, time domain reflectometry (TDR), shear cables, gas (oxygen, carbon dioxide) measurement tubes, and vibrating wire piezometers (VWPs). Additionally, each drill site had multiple measurements of oxygen consumption in the surface layer of the local waste rock. Data acquired from the borings were linked with historical information (covering a period of greater than 50 years) from extensive drilling, mineralogical and litho-geochemical evaluations, hydraulic and tracer testing, and 20 years of seepage f low and water chemistry data to develop a conceptual model that describes the hydraulic, geochemical, and physical behavior of the waste rock dumps. Pyrite and other sulfide minerals in the waste rock dumps are oxidized by both diffusive and convective ingress of air, producing acidic, high-total dissolved solids effluents, and jarosite that has formed within the waste rock as a secondary phase that stores additional acidity. The dominant air ingress mechanism is convection, which accounts for greater than 90% of the sulfide oxidation within the waste rock dumps. Based on temperature profiles and water balance for the dumps, moisture loss to geochemical reactions is a significant part of the water budget.
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