Academic literature on the topic 'Input flooding'

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Journal articles on the topic "Input flooding"

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Rashtchi, Mojgan, and Leila Mohammad Yousefi. "Reading input flooding versus listening input flooding: Can they boost speaking skill?" Journal of Language and Cultural Education 5, no. 1 (2017): 39–58. http://dx.doi.org/10.1515/jolace-2017-0003.

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Abstract The present study compared the effects of reading input flooding and listening input flooding techniques on the accuracy and complexity of Iranian EFL learners’ speaking skill. Participants were 66 homogeneous intermediate EFL learners who were randomly divided into three groups of 22: Reading input flooding group, listening input flooding group, and control group. The reading flooded input group was exposed to the numerous examples of the target structures through reading. In the same phase, the listening group was given relatively the same task, through listening. The participants’
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Safdari, Maryam. "Input Flooding, Input Enhancement and Writing Performance: Effects and Percepts." International Journal of Instruction 12, no. 4 (2019): 281–96. http://dx.doi.org/10.29333/iji.2019.12418a.

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Rashtchi, M., and F. Etebari. "Learning the English Passive Voice: A Comparative Study on Input Flooding and Input Enhancement Techniques." International Linguistics Research 1, no. 1 (2018): p67. http://dx.doi.org/10.30560/ilr.v1n1p67.

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The purpose of this study was to compare the effect of input flooding and input enhancement on grammar knowledge of passive voice among Iranian EFL learners. Preliminary English Test (PET) was administered to 75 learners who were in six intact classes in a language institute in Tehran. Sixty female low-intermediate learners whose scores fell within the range of ±1 standard deviation were selected. These classes were then randomly assigned to receive two different treatments. Three classes in the experimental group one (Input Enhancement Group) were exposed to passive structures through input e
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Lu, Yan, and Hongwen Xu. "Effects of Soil Temperature, Flooding, and Organic Matter Addition on N2O Emissions from a Soil of Hongze Lake Wetland, China." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/272684.

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The objectives of this study were to test the effects of soil temperature, flooding, and raw organic matter input on N2O emissions in a soil sampled at Hongze Lake wetland, Jiangsu Province, China. The treatments studied were—peat soil (I), peat soil under flooding (II), peat soil plus raw organic matter (III), and peat soil under flooding plus organic matter. These four treatments were incubated at 20°C and 35°C. The result showed that temperature increase could enhance N2O emissions rate and cumulative emissions significantly; moreover, the flooded soil with external organic matter inputs sh
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Murkin, Henry R., John A. Kadlec, and Elaine J. Murkin. "Effects of Prolonged Flooding on Nektonic Invertebrates in Small Diked Marshes." Canadian Journal of Fisheries and Aquatic Sciences 48, no. 12 (1991): 2355–64. http://dx.doi.org/10.1139/f91-276.

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This study examined the response by nektonic invertebrates to prolonged flooding of a series of experimental marshes in the Delta Marsh in south-central Manitoba. Prior to flooding, nektonic invertebrate densities, biomass, and numbers of taxa were at their highest levels during midsummer in open-water sites with dense submersed vegetation; during the same period, nekton levels within the experimental marshes were minimum in stands of emergent vegetation. These differences appear to be related to available habitat structure and dissolved oxygen concentrations. Flooding to 1 m above normal elim
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Cheng, Hai Xiu, and Bi Zeng. "A Method Based on BP Neural Network to Detect SIP DOS Flooding Attack." Applied Mechanics and Materials 263-266 (December 2012): 2773–78. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2773.

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In order to detect the SIP flooding attacks in IMS (IP Multimedia Subsystem) network, the paper proposes a flooding attack detection method based on BP neural network, and analyses causes of SIP flooding attack, and thus determine the BP the input of the neural network characteristics. The simulation results show that this method has better detection performance.
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Romera, J., C. Ocampo-Martinez, V. Puig, and J. Quevedo. "Flooding management using hybrid model predictive control: application to the Spanish Ebro River." Journal of Hydroinformatics 15, no. 2 (2012): 366–80. http://dx.doi.org/10.2166/hydro.2012.164.

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In this paper, the problem of flooding management using hybrid model predictive control is presented and applied to the Ebro River in Spain. The Ebro River presents flooding episodes in the city of Zaragoza during spring when snow melts in the Pyrenees. To avoid flooding in populated areas, some land outside the city is prepared for flooding. This paper presents a control approach to determine and fix the level of flooding in pre-established zones by controlling side gates that determine the water input to the land to be flooded. Finally, several scenarios are used to validate the performance
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Iuppa, Claudio, Luca Cavallaro, Rosaria Ester Musumeci, and Enrico Foti. "COASTAL FLOODING RISK ASSESSMENT BY A NEURAL NETWORK APPROACH." Coastal Engineering Proceedings, no. 36v (December 31, 2020): 9. http://dx.doi.org/10.9753/icce.v36v.papers.9.

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An effective system of coastal flooding forecasting in the case of storm is essential to mitigate coastal risks for the population living in low-land coastal zones (less than 10 m above MSL). Nowadays, predictions of coastal flooding are usually carried out by adopting nested numerical models. However, the models adopted to obtain the data in the nearshore area require high computational costs, which are often too demanding and not viable for large scale forecasting. Data-driven models, such as Artificial Neural Networks (ANNs) can help to solve the problem as they can map complex nonlinear re
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Xiao, Chuan Min. "Study and Application of EOR on Conventional Heavy Oil Reservoir." Advanced Materials Research 236-238 (May 2011): 825–28. http://dx.doi.org/10.4028/www.scientific.net/amr.236-238.825.

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According to the characters of conventional heavy oil reservoir, liquid and exploitation progress, displacement adjustment method was applied to reduce degression and enhance recovery. The experiment results showed the gel time could be controlled and the strength could be adjusted. The flooding oil rate was more 14.3% than water flooding in the lab. The pilot test showed that the test effect of moveable gel flooding was significantly good, the accumulated incremental oil production of 6 well groups is 54756t, input-output ratio is 1: 4.1, which shows satisfactory effects in improving the wate
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Saliba, Sami M., Benjamin D. Bowes, Stephen Adams, Peter A. Beling, and Jonathan L. Goodall. "Deep Reinforcement Learning with Uncertain Data for Real-Time Stormwater System Control and Flood Mitigation." Water 12, no. 11 (2020): 3222. http://dx.doi.org/10.3390/w12113222.

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Flooding in many areas is becoming more prevalent due to factors such as urbanization and climate change, requiring modernization of stormwater infrastructure. Retrofitting standard passive systems with controllable valves/pumps is promising, but requires real-time control (RTC). One method of automating RTC is reinforcement learning (RL), a general technique for sequential optimization and control in uncertain environments. The notion is that an RL algorithm can use inputs of real-time flood data and rainfall forecasts to learn a policy for controlling the stormwater infrastructure to minimiz
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Dissertations / Theses on the topic "Input flooding"

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Betancourt, José. "Functional-input metamodeling : an application to coastal flood early warning." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30097.

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Les inondations en général affectent plus de personnes que tout autre catastrophe. Au cours de la dernière décennie du 20ème siècle, plus de 1.5 milliard de personnes ont été affectées. Afin d'atténuer l'impact de ce type de catastrophe, un effort scientifique significatif a été consacré à la constitution de codes de simulation numériques pour la gestion des risques. Les codes disponibles permettent désormais de modéliser correctement les événements d'inondation côtière à une résolution assez élevée. Malheureusement, leur utilisation est fortement limitée pour l'alerte précoce, avec une simula
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Hu, Xi. "A temporal and spatial analysis of China's infrastructure and economic vulnerability to climate change impacts." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:72408c96-c0fc-4dbc-a93b-c29a6c25da0c.

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A warmer climate is expected to increase the risks of natural disasters globally. China is one of the hotspots of climate impacts since its infrastructures and industries are often hard hit. Yet little is known about the nature and the extent to which they are affected. This thesis builds novel system-of-systems risk assessment methodologies and data for China, representing infrastructures (energy, transport, waste, water and digital communications) as interdependent networks that support spatially distributed users of infrastructure services. A unique national-scale geo-spatial network databa
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Meslard, Florian. "Apports sableux par les fleuves côtiers méditerranéens et aléa de submersion marine (ASPLEC)." Electronic Thesis or Diss., Perpignan, 2023. http://www.theses.fr/2023PERP0053.

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Obtenir des estimations précises des bilans sédimentaires sur le continuum terre-mer et comprendre comment ces bilans affectent la dynamique des littoraux est devenu un enjeu crucial dans le contexte actuel de montée du niveau marin et de recul du trait de côte. Les fleuves côtiers méditerranéens, du fait d’un caractère torrentiel lié à des événements météorologiques intenses, sont caractérisés par des épisodes de crues brefs mais violents durant lesquels la majorité du flux d’eau et de sédiments est apportée à la zone côtière en quelques jours. Ce mode de fonctionnement épisodique impacte éga
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Book chapters on the topic "Input flooding"

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Xue, Zhi-Wu, and Qiang Guo. "Bridge Comparison of Erection Solutions for Steel Box Girders Spanning from Anchorage in the Sea on Shenzhen-Zhongshan Bridge." In Advances in Frontier Research on Engineering Structures. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_32.

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AbstractThe non-navigable hole bridge in the east and west flooding area of the Shenzhen-Zhongshan Bridge 110 m continuous steel box girder system, each with 2 holes of steel box girders spanning the Lingdingyang Bridge sea anchor, which is affected by the anchor and the subsidiary structure, and its installation is difficult. In view of the characteristics of the project, three installation solutions were proposed: large section lifting, small section incremental launching and large section incremental launching. Combined with the comparative analysis of construction efficiency, temporary str
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Ciampa, Francesca. "A Digital Information Model for Coastal Maintenance and Waterfront Recovery." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_14.

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AbstractIn the context of the global climate crisis and the resulting catastrophic flooding phenomena, the contribution looks at an innovative digital model for the coastal recovery, attentive to the protection of waterfronts and their stakeholders. By intervening in the relationship between transformation and conservation of built environment, it is necessary to establish governance support tools capable of foreseeing emergency scenarios to protect the population. The research looks at the port areas of coastal cities as a contemporary and collective public space in which to test the collabor
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Al-Bahadili, Hussein. "On the Use of Discrete-Event Simulation in Computer Networks Analysis and Design." In Handbook of Research on Discrete Event Simulation Environments. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-774-4.ch019.

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This chapter presents a description of a newly developed research-level computer network simulator, which can be used to evaluate the performance of a number of flooding algorithms in ideal and realistic mobile ad hoc network (MANET) environments. It is referred to as MANSim. The simulator is written in C++ programming language and it consists of four main modules: network, mobility, computational, and algorithm modules. This chapter describes the philosophy behind the simulator and explains its internal structure. The new simulator can be characterized as: a process-oriented discrete-event si
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Tarantino, Eufemia, Antonio Novelli, Mariella Aquilino, Benedetto Figorito, and Umberto Fratino. "Comparing the MLC and JavaNNS Approaches in Classifying Multi-Temporal LANDSAT Satellite Imagery over an Ephemeral River Area." In Civil and Environmental Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch063.

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This chapter analyzes two pixel-based classification approaches to support the analysis of land cover transformations based on multitemporal LANDSAT sensor data covering a time space of about 24 years. The research activity presented in this paper was carried out using Lama San Giorgio (Bari, Italy) catchment area as a study case, being this area prone to flooding as proved by its geological and hydrological characteristics and by the significant number of floods occurred in the past. Land cover classes were defined in accordance with on the CN method with the aim of characterizing land use ba
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Bohacs, K. M., and A. Ferrin. "13 Monterey Formation, Miocene, California, U.S.A.—A Cenozoic Biosiliceous-Dominated Continental Slope to Basin Setting: A Billion-Barrel Deep-Water Mudstone Reservoir and Source Rock." In Sequence Stratigraphy: Applications to Fine-Grained Rocks. The American Association of Petroleum Geologists and Brazilpetrostudies, 2022. http://dx.doi.org/10.1306/137123081283.

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ABSTRACT The Monterey Formation illustrates the expression of sequence-stratigraphic surfaces and units in continental slope and basin settings that are quite unlike those of most mudstone units considered thus far in this book. These strata span a wide variety of siliceous, calcareous, argillaceous, phosphatic, and kerogenous composition, detrital, biogenic, and authigenic origins, and clay to cobble grain size. The Monterey Formation poses particular challenges with its deposition of dominantly biogenic sediments in a variety of deep-basinal environs in an active tectonic region. This chapte
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Cuzzocrea, Alfredo, Filippo Furfaro, Elio Masciari, and Domenico Saccà. "Improving OLAP Analysis of Multidimensional Data Streams via Efficient Compression Techniques." In Intelligent Techniques for Warehousing and Mining Sensor Network Data. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-328-9.ch002.

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Sensor networks represent a leading case of data stream sources coming from real-life application scenarios. Sensors are non-reactive elements which are used to monitor real-life phenomena, such as live weather conditions, network traffic etc. They are usually organized into networks where their readings are transmitted using low level protocols. A relevant problem in dealing with data streams consists in the fact that they are intrinsically multi-level and multidimensional in nature, so that they require to be analyzed by means of a multi-level and a multi-resolution (analysis) model accordin
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Hadeed, Muhammad Zakwan, Muhammad Safdar, Aitizaz Ali, et al. "Role of Remote Sensing and GIS for Sustainable Crop Production Under Climate Change." In Advancements in Climate and Smart Environment Technology. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3807-0.ch012.

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Geospatial techniques are being increasingly used in agriculture to optimize production, manage resources, and mitigate climate change impacts. These techniques include GPS, GIS, and remote sensing, which map and monitor crop growth and yield variability, allowing for more efficient application of inputs like fertilizers, water, and pesticides. They also create models that simulate crop growth under different climate scenarios, allowing farmers to plan for future conditions and adapt their practices accordingly. Geospatial data is used to create detailed maps of soil properties, helping farmer
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Ganesan, Sangeetha, Vijayalakshmi Muthuswamy, Ganapathy Sannasi, and Kannan Arputharaj. "A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch057.

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Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the
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de Souza Campelo, Nilton, Arlene Maria Lamêgo da Silva Campos, Marcos Valério Mendonça Baia, et al. "Challenges in the Construction of Highways in the Brazilian Amazonia Environment: Part I - Identification of Engineering Problems." In Applied Methods in Design and Construction of Bridges, Highways and Roads - Theory and Practice [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104642.

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The construction of highways in the Brazilian Amazonia Region is always problematic, mainly because it involves environmental obstacles but also technical, economic, and natural challenges. The environmental issues concern the deforestation of the virgin forest and the resulting environmental impacts. The technical ones are related to the natural subgrade, formed by the geologically young alluvial soils that are plastic, being highly compressible or expansive, present in the vast Amazon Basin, whereas the economic issues refer to the final costs of inputs for the construction of the layers of
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Juo, Anthony S. R., and Kathrin Franzluebbers. "Properties and Management of Smectitic Soils." In Tropical Soils. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195115987.003.0016.

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Smectitic soils of the tropics are medium- to fine-textured alluvial soils containing moderate to large amounts (20% or more) of smectite, a shrinking and swelling clay mineral, in the clay fraction. Small to moderate amounts of other layer silicate minerals, such as illite, chlorite, vermiculite, and kaolinite, are also present in the clay fraction. Smectitic soils have moderate to high values of CEC (10-50 cmol/kg of soil), high base saturation, and high water-retention capacity. These soils are usually developed on alluvial materials rich in basic cations, especially Mg. Smectitic soils com
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Conference papers on the topic "Input flooding"

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Buxton, David, Petra Ernst, Gareth John, and Tom Wewer. "Cathodic Protection within Narrow Gaps of Offshore Wind Turbine Foundations." In CORROSION 2020. NACE International, 2020. https://doi.org/10.5006/c2020-14750.

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Abstract Cathodic protection (CP) is routinely applied to the external surfaces of offshore wind turbine monopile foundations to minimize corrosion. When the monopile internals are free-flooding, and therefore also exposed to oxygenated seawater, again, cathodic protection may be applied. In cases of unplanned water exchange through cable entry seals, a small additional surface area, in a gap between the seal and the ‘cable entry hole’ through the steel monopile is then exposed to flowing seawater. Cathodic protection calculations were undertaken to assess whether protection (either applied ex
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Yu, K. D. S., R. R. Tan, and J. R. Santos. "Impact estimation of flooding in Manila: An inoperability input-output approach." In 2013 IEEE Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2013. http://dx.doi.org/10.1109/sieds.2013.6549492.

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Jenk, Ulf, and Jochen Schreyer. "Pollutant Release Level Prognosis: A Major Input Into the Flooding Concept for the Former ISL Uranium Mine at Königstein (Germany)." In ASME 2001 8th International Conference on Radioactive Waste Management and Environmental Remediation. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/icem2001-1259.

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Abstract At the Königstein mine uranium was extracted by an underground in situ leaching method. WISMUT developed a flooding concept which allows the reduction of pollutant concentrations and prevent pollutant migration into the aquifers above and downstream the mine. The development of the concept and the documentation for permit application were based on a multitude of scientific and engineering studies and prognoses on substance output using two different approaches (upscaling of a flooding experiment, Numeric box model). Both modelling tools provide similar prognoses of flooding. With the
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Khan, Mohammad Rasheed, Shams Kalam, Sidqi A. Abu-khamsin, and Abdul Asad. "Machine Learning for Prediction of CO2 Foam Flooding Performance." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211426-ms.

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Abstract In a move towards development of sustainable and efficient hydrocarbon production, the industry looks forward to the deployment of carbon neutral and even carbon negative solutions. Accordingly, CO2 EOR is a viable option to improve recovery and has been applied in mature fields for over four decades. The downsides of poor sweep efficiency linked to viscous fingering and gravity segregation can be sorted through generation of CO2 foams in the reservoir. This work proposes the utilization of machine learning techniques, to predict foam flood performance which will thereby aid in optimi
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Wang, Chenhui, Ran Zhang, Xiaoyun Huang, Chao Wang, and Meng Zhao. "Application of Self-Developed Advanced Three-Dimensional Simulation Software in Internal Flooding of Nuclear Power Plant." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-93264.

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Abstract Internal flooding in nuclear power plants is a possible internal disaster, which will lead to serious accidents in nuclear power plants, so it is necessary to evaluate for safety. CNIFA software is an advanced three-dimensional simulation software with independent intellectual property rights developed by China Nuclear Power Engineering Co., Ltd., which is specially used for internal flooding analysis of nuclear power plants. Compared with traditional flood analysis software, CNIFA has the advantages of good applicability and visualization. Interacted with E3D or PDMS software, the ex
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Kaliatka, Tadas, Eugenijus Ušpuras, and Algirdas Kaliatka. "Modelling of QUENCH 03 and QUENCH 06 Experiments Using RELAP/SCDAPSIM Code." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15894.

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An important accident management measure for controlling severe accident transients in Light Water Reactors is the injection of water to cool the degrading core. Flooding of the overheated core, which causes quenching of the fuel rods, is considered a worst-case scenario regarding hydrogen generation rates which should not exceed safety-relevant critical values. Within the frame of the QUENCH test-program the loss of coolant accidents with the following flooding of overheated core in Light Water Reactors is analysed using an experimental facility. The modelling of QUENCH-03 and QUENCH-06 exper
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Fengxiang, Zhang, and Shunji Abe. "A Heuristic DDoS Flooding Attack Detection Mechanism Analyses based on the Relationship between Input and Output Traffic Volumes." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317915.

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Kinate, Bright Bariakpoa, Uchenna Daniel Elikee, and Ikechi Igwe. "Injection Order: A Determinant for the Performance of Alkaline-Surfactant and Polymer Flooding Scheme." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221755-ms.

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Abstract The combined approach of alkali, surfactant, and polymer (ASP) injection is considered the most promising and enhances oil recovery by reducing residual oil saturation and improving sweep efficiency. However, the performance of ASP flooding is highly sensitive to various factors. Among these factors, the injection order of the chemical components significantly impacts the effectiveness of the process. To optimize ASP flooding, it is essential to understand the chemical interactions and mechanisms involved in each injection order. Hence, this work will evaluate the impact of injection
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Kumar, Saket, Akshay Aggarwal, Ashutosh Yadav, Surej Kumar Subbiah, and Ying Ru Chen. "Automating the Workflow for Integration of Experimental Polymer Flooding Results in the Numerical Model." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/225141-ms.

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Abstract Polymer flooding is a widely accepted enhanced oil recovery (EOR) technique that effectively reduces the mobility of injected water without adversely affecting hydrocarbon phases. This process enhances sweep and displacement efficiencies in mature reservoirs. However, accurately modelling the mechanisms of polymer EOR in reservoir simulations remains challenging. Key parameters—such as polymer concentration, viscosity, adsorption on rock minerals, permeability reduction, and inaccessible pore volume—profoundly impact the physics of this process. Each oil reservoir presents unique cond
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Odo, J. E., C. C. Ahamefule, O. I. Nwanwe, P. U. Ekeopara, C. C. Monsonagor, and C. C. Nwanwe. "Feasibility Study of Thermal EOR Techniques in Unconventional Heavy Oil Reservoirs in the Niger Delta: An Experimental and Numerical Simulation Approach." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217243-ms.

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Abstract The exploration and production of unconventional hydrocarbon reservoirs have gained significant attention in recent years due to their increasing importance as a source of energy. Acquiring a comprehensive understanding of the unique characteristics of unconventional reservoirs is essential to optimize the recovery of these resources. The Niger Delta region, while currently undergoing the secondary recovery phase for some conventional projects, has significant potential for unconventional hydrocarbon reserves. This study employed a combination of laboratory experiments and numerical s
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Reports on the topic "Input flooding"

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Jettestuen, Espen, Olav Aursjø, Jan Ludvig Vinningland, Aksel Hiorth, and Arild Lohne. Smart Water flooding: Part 2: Important input parameters for modeling and upscaling workflow. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.200.

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This document presents some guidelines on how to conduct numerical investigations of the physicochemical effects of Smart Water flooding on different length scales. The National IOR Centre of Norway (NIORC) has developed several simulation tools. The objective of this report is to describe how three NIORC-developed simulation tools BADChIMP, IORCoreSim, and IORSim, can be used to investigate Smart Water effects on different length scales. We present which input parameters are needed by the simulation tools, and we discuss which processes these tools are suited to study. When working with diffe
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Hasan, Abdulghani. Flood Modelling Tool : an integrated GIS and hydrological modelling tool for planning nature-based solutions in the urban environment. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.5s9t2ca774.

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The risk of pluvial flooding is going to increase as climate change causes an increase in intense precipitation along with urbanisation leading to an increase in impermeable surfaces. In the last decade, cities such as Malmö and Copenhagen have already experienced severe pluvial flooding that has caused extensive damage. Adapting to climate change by creating flood resilient urban areas is therefore important and blue-green infrastructure (BGI) may be one measure to accomplish this. A hydrological model called TFM-DYN has been used to investigate whether BGI can aid the mitigation of pluvial f
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Trotz, Maya, Alex Webb, Amanda Brinton, et al. Nature-Based Solutions Workshop Report: Placencia, Belize (report no. 3). Strong Coasts, 2023. http://dx.doi.org/10.5038/leey7236.

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On August 30th, 2023, over 90 members of the Placencia Peninsula community gathered for a collaborative workshop to address escalating threats to Belize’s coastline. Hosted by Fragments of Hope Ltd. and WWF Mesoamerica, the event introduced an international initiative, Strong Coasts, which studies Nature-Based Solutions to flooding and erosion risks. Through interactive presentations, discussions, and hands-on exercises, attendees shared diverse perspectives on protecting vital yet vulnerable ecosystems like mangroves and coral reefs. Five key areas of concern emerged from participants: govern
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McKinnon, Mark, Sean DeCrane, and Steve Kerber. Four Firefighters Injured in Lithium-Ion Battery Energy Storage System Explosion -- Arizona. UL Firefighter Safety Research Institute, 2020. http://dx.doi.org/10.54206/102376/tehs4612.

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On April 19, 2019, one male career Fire Captain, one male career Fire Engineer, and two male career Firefighters received serious injuries as a result of cascading thermal runaway within a 2.16 MWh lithium-ion battery energy storage system (ESS) that led to a deflagration event. The smoke detector in the ESS signaled an alarm condition at approximately 16:55 hours and discharged a total flooding clean agent suppressant (Novec 1230). The injured firefighters were members of a hazardous materials (HAZMAT) team that arrived on the scene at approximately 18:28 hours. The HAZMAT team noted low-lyin
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Beach-fx Version 1.1.9. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45980.

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Beach-fx is a Monte Carlo simulation model developed by the U.S. Army Corps of Engineers that incorporates a new framework for performing engineering-economic analyses associated with storm damage reduction studies. This event-based framework replaces older frequency-based analyses that are derived from riverine flooding approaches, which are not as suitable for the coastal storm damage problem. Beach-fx utilizes a database that describes the coastal area under study, a suite of historically-based plausible storm events that can impact the area, an inventory of structures that can be damaged,
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Beach-fx Version 3.0. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48632.

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Abstract:
Beach-fx is a Monte Carlo simulation model developed by the U.S. Army Corps of Engineers that incorporates a new framework for performing engineering-economic analyses associated with storm damage reduction studies. This event-based framework replaces older frequency-based analyses that are derived from riverine flooding approaches, which are not as suitable for the coastal storm damage problem. Beach-fx utilizes a database that describes the coastal area under study, a suite of historically-based plausible storm events that can impact the area, an inventory of structures that can be damaged,
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