Thematische Bibliographien / Model development and evaluation

Auswahl der wissenschaftlichen Literatur zum Thema „Model development and evaluation“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Model development and evaluation"

Kadir, Nuraeni. „The Integrated Silk Business Development, The Weavers Evaluation, and the Silk Development Model“. Journal of Advanced Research in Dynamical and Control Systems 12, Nr. 5 (30.05.2020): 478–86. http://dx.doi.org/10.5373/jardcs/v12i5/20201964.

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KURUM, Gul, und Sakir CINKIR. „An Authentic Look at Evaluation in Education: A School Self- Evaluation Model Supporting School Development“. Eurasian Journal of Educational Research 19, Nr. 83 (01.10.2019): 1–34. http://dx.doi.org/10.14689/ejer.2019.83.12.

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FanYun Pai. „Website Development and Evaluation Model“. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, Nr. 7 (15.04.2013): 362–71. http://dx.doi.org/10.4156/aiss.vol5.issue7.43.

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Alqalyoobi, Shehabaldin. „Prediction Model Development and Evaluation“. CHEST 165, Nr. 4 (April 2024): e131. http://dx.doi.org/10.1016/j.chest.2023.11.045.

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AHMADI, I. „Development and evaluation of full-vehicle vibration model of MF 285 tractor“. Research in Agricultural Engineering 60, No. 3 (12.09.2014): 107–14. http://dx.doi.org/10.17221/5/2013-rae.

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The vibration transmitted to the tractor driver not only leads to the driver health problems, but also reduces the driver working efficiency. One of the methods utilized to reduce driver vibration is the seat suspension system. Development of the tractor vibration model is the first step toward the implementation of the tractor seat suspension. In this research development and evaluation of full-vehicle vibration model of MF 285 tractor was considered. At validation phase, the developed model simulated the predictable outputs correctly. The modified parameters of the model reduced the simulation error by 30% compared to the model with primary parameters. Furthermore, considering the operation status of tractor engine in the simulated tractor, the simulation error was reduced from 45% to 27%.

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Kim. „Development of Optimum Traffic Safety Evaluation Model Using the Back-Propagation Algorithm“. Journal of the Korean Society of Civil Engineers 35, Nr. 3 (2015): 679. http://dx.doi.org/10.12652/ksce.2015.35.3.0679.

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Cichota, Rogerio, Russell McAuliffe, Julia Lee, Elena Minnee, Kirsty Martin, Hamish E. Brown, Derrick J. Moot und Val O. Snow. „Forage chicory model: Development and evaluation“. Field Crops Research 246 (Februar 2020): 107633. http://dx.doi.org/10.1016/j.fcr.2019.107633.

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Ellison, Constance M. „Talent development professional development evaluation model: A paradigm shift“. New Directions for Evaluation 2004, Nr. 101 (2004): 63–78. http://dx.doi.org/10.1002/ev.108.

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Favaro, Paul, und Marie Billinger. „A Comprehensive Evaluation Model for Organizational Development“. Canadian Journal of Program Evaluation 8, Nr. 2 (September 1993): 45–60. http://dx.doi.org/10.3138/cjpe.8.004.

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Abstract: Most organizations implement evaluation studies to determine how to improve aprogram or to decide if a program should be continued. However, evaluation can be used to help organizations make relevant and valid decisions for the cycle of program planning, development, implementation, and operation. This article describes a “comprehensive evaluation model” used at Sacred Heart Child and Family Centre, Toronto, Ontario, that provides a framework for understanding the importance of evaluation activities within all program phases. Four sequential evaluation stages are presented as the framework for the Sacred Heart model, and it is argued that consideration of these stages is essential to an adequate assessment of a program’s efficiency and effectiveness. The use of the comprehensive evaluation model is illustrated through two case studies: the design and implementation of an automated management information system and an evaluation of a primary prevention program.

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Divayana, Dewa Gede Hendra, P. Wayan Arta Suyasa und Ni Ketut Widiartini. „Development of instruments for DIVAYANA evaluation model“. Psychology, Evaluation, and Technology in Educational Research 3, Nr. 2 (07.04.2021): 62–76. http://dx.doi.org/10.33292/petier.v3i2.68.

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The purpose of this research showed a valid DIVAYANA evaluation model instruments were used to evaluate the implementation of e-learning. This research approach was the development of evaluation instruments. The evaluation instruments developed were in the form of interview guides and questionnaires. The interview guidelines that resulted were related to several DIVAYANA evaluation components, included: the Description component, Input component, Verification component, and Yack component. Questionnaires were generated on several DIVAYANA evaluation components, included: the Verification component, Action component, and Yack component. The subjects involved in the content validity test of the interview guidelines were two experts, including an informatics education expert and an educational evaluation expert. The content validity tests of questionnaires were conducted by six experts, including three education evaluation experts and three informatics education experts. The content validity calculation process of the interview guidelines used the Gregory formula, while the content validity of the questionnaires used Lawsheâ€™s CVR formula. The content validity average of interview guidelines on the Description, Input, Verification, and Yack components was 0.882 so it was included in the very good category. The content validity average of questionnaires on the Verification, Action, and Yack components was 0.774 so it was in a good category. The implication of this research is the realization of valid measuring instruments that can be used in evaluating the implementation of e-learning.

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Dissertationen zum Thema "Model development and evaluation"

Al-Dawood, Abdullah Saad. „Transportation and economic development evaluation model“. Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39905.

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The system dynamics methodology is used to develop a computer simulation model to determine whether to add lanes to a congested highway or build a new, more direct, facility. Fundamental to this evaluation is the incorporation of non-user measures of effectiveness to go with the traditional highway user measures of effectiveness, such as the Benefit-Cost Ratio. In the system dynamics methodology three alternative forms of the model of a system are used: verbal, visual, and mathematical. The verbal description is diagrammatic and shows cause-and-effect relationships between many variables in a simple, concise manner. The visual model or "causal diagram" is translated into a mathematical model and system equations. The model is comprised of four sectors: 1. population sector 2. economic sector 3. university sector 4. transportation sector The model applies to the area of Blacksburg, Christiansburg and Roanoke (city and county). with special treatment to Virginia Tech through the university model. The simulation results of the non-user benefits along with user benefits is used to evaluate the alternatives in the Blacksburg-Christiansburg-Roanoke corridor.
Ph. D.

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Trinh, Chau Thi My. „Earnings forecasts : model development, evaluation and theoretical analysis“. Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.686827.

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Earnings forecasts are an important input for equity valuation and asset allocation decision. Nevertheless, there are many contradictory findings about the most accurate model as well as the best proxy for the market expectation of future earnings in the literature. Hence, with the aim of providing solutions to these problems, this thesis comprises four main studies of different issues related to forecasting earnings.

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Fletcher, William P. Jr. „The Development of A Block Scheduling Evaluation Model“. Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29833.

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The purpose of the study was to develop and test a block scheduling evaluation model. Conceptual development of the model was based on a review of the literature which targeted the components of the school program most consistently identified with scheduling type: instruction, school climate, student outcomes, and operating efficiency. The model included an interview with the principal, analysis of documents, survey of teachers, and survey of students. The model was pilot tested in three high schools in Western Virginia. The principals of the three pilot schools and the researcher evaluated the model according to preestablished evaluation criteria. The evaluation identified several improvements including: instrumentation refinements aimed at providing more detailed information on teacher concerns about preparation and planning on the block schedule; data analysis refinements centering on technology; inclusion of other indicators such as standardized test scores and cost analysis; and, expansion of data collection techniques centering on systematic observation over an extended period of time.
Ed. D.

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Pandit, Ravi. „Disposable versus reusable ware : cost evaluation model development /“. Online version of thesis, 1991. http://hdl.handle.net/1850/10790.

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Tissainayagam, Prithiviraj 1967. „Visual tracking : development, performance evaluation, and motion model switching“. Monash University, Dept. of Electrical and Computer Systems Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/8944.

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Therén, Linus. „Development and Evaluation of Model-Based Misfire Detection Algorithm“. Thesis, Linköpings universitet, Fordonssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112127.

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This report present the work to develop a misfire detection algorithm for onboard diagnostics on a spark ignited combustion engine. The work is based on a previous developed model-based detection algorithm, created to meet more stringent future legislation and reduce the cost of calibration. In the existing approach a simplified engine model is used to estimate the torque from the flywheel angular velocity, and the algorithm can detect misfires in various conditions. The main contribution in this work, is further development of the misfire detection algorithm with focus on improving the handling of disturbances and variations between different vehicles. The resulting detection algorithm can be automatically calibrated with training data and manage disturbances such as manufacturing errors on the flywheel and torsional vibrations in the crankshaft occurring after a misfire. Furthermore a robustness analysis with different engine configurations is carried out, and the algorithm is evaluated with the Kullback- Leibler divergence correlated to the diagnosis requirements. In the validation, data from vehicles with four cylinder engines are used and the algorithm show good performance with few false alarms and missed detections.

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Van, Der Heide George, und n/a. „Developing a model of community development for health promotion“. University of Canberra. Education, 1990. http://erl.canberra.edu.au./public/adt-AUC20061109.163647.

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The thesis is concerned with finding strategies of community development suitable for health promotion and a matching method of evaluation. The thesis contains two literature reviews. The first examines the history and practice of community development, the problems in the field of drug abuse prevention, especially in its evaluation, and recent developments in health promotion within the context of the new public health movement. The second literature review chapter examines qualitative methodology and in particular recent developments in the use of case studies. The design of the study in the thesis utilises multiple-case studies and explanation-building with data matrix construction as the method of analysis. Two multiple case studies of thirteen and twelve cases respectively use data from the Community Approach to Drug Abuse Prevention (CADAP) Project. Detailed analysis of ten matrices are presented for the First Stage Multiple-Case Study and three for the second. Major conclusions are drawn about how a successful performance in the processes of preparation and training in community development lead to later successful community activity. Whether the preparation and training is done by staff of the CADAP Project or by trained staff of host organisations makes no difference to this outcome. Conclusions are drawn about community development in general, its application to health promotion and its evaluation.

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Schnell, Thomas. „The development of a PC-based pavement-marking visibility evaluation model“. Ohio University / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1178732568.

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Tonsor, Glyndall Tully. „Feedlot cattle crush : joint distribution model development, evaluation, and application /“. Search for this dissertation online, 2006. http://wwwlib.umi.com/cr/ksu/main.

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Spiessl, Sabine Maria. „Development and evaluation of a reactive hybrid transport model (RUMT3D)“. [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974569038.

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Bücher zum Thema "Model development and evaluation"

Amey, Peter. Development and evaluation of a crime management model. London: Home Office Police Research Group, 1996.

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A, Finney Mark. FARSITE, Fire Area Simulator--model development and evaluation. Ogden, UT (324 25th St., Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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Finney, Mark Arnold. FARSITE, fire area simulator--model development and evaluation. Ogden, UT (324 25th St., Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2004.

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Unger Unruh, Gabriela, und Osiris Canciglieri Junior. Human Needs' Analysis and Evaluation Model for Product Development. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12623-9.

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W, Cherrie John, Institute of Occupational Medicine (Edinburgh, Scotland) und Great Britain. Health and Safety Executive., Hrsg. Evaluation and further development of the EASE model 2.0. Sudbury: HSE, 2003.

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Gray, D. M. Development and performance evaluation of an energy budget snowmelt model. Edmonton, Alta: Research Management Division, Alberta Environment, 1988.

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Banker, Rajiv D. Performance evaluation metrics for information systems development: A principal-agent model. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1991.

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Banker, Rajiv D. Performance evaluation metrics for information systems development: A principal-agent model. Cambridge, Mass: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1992., 1992.

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G, Thomas Veronica, Stevens Floraline I und American Evaluation Association, Hrsg. Co-constructing a contextually responsive evaluation framework: The talent development model of school reform. San Francisco, Calif: Jossey-Bass, 2004.

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Townsend, Robert M. Financial deepening, inequality, and growth: A model-based quantitative evaluation. Washington, D.C: International Monetary Fund, Research Department, 2003.

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Buchteile zum Thema "Model development and evaluation"

Von Gadow, Klaus, und Gangying Hui. „Model evaluation“. In Modelling Forest Development, 181–89. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4816-0_6.

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Vavpotič, Damjan, Marko Bajec und Marjan Krisper. „Software Development Methodology Evaluation Model“. In Constructing the Infrastructure for the Knowledge Economy, 141–53. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-4852-9_9.

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Tudevdagva, Uranchimeg. „Application of SURE Model and Its Future Development“. In Structure-Oriented Evaluation, 89–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44806-6_5.

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Banzhaf, Sabine, Peter Builtjes, Andreas Kerschbaumer, Martijn Schaap, Eric van der Swaluw, Rainer Stern und Eberhard Reimer. „Wet Deposition: Model Development and Evaluation“. In Air Pollution Modeling and its Application XXI, 459–65. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1359-8_77.

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Groth, Troy J., und Joseph N. Gray. „Development of a Neutron Radiography Simulation Model“. In Review of Progress in Quantitative Nondestructive Evaluation, 335–42. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2848-7_43.

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Unger Unruh, Gabriela, und Osiris Canciglieri Junior. „Human Needs Model (Hune)“. In Human Needs' Analysis and Evaluation Model for Product Development, 37–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12623-9_3.

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Cortiñas, Alejandro, Carlo Bernaschina, Miguel R. Luaces und Piero Fraternali. „Enabling Agile Web Development Through In-Browser Code Generation and Evaluation“. In Model and Data Engineering, 311–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66854-3_24.

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Adelman, Leonard, und Sharon L. Riedel. „Overview: Development Models, Evaluation Dimensions, and Evaluation Models“. In Handbook for Evaluating Knowledge-Based Systems, 17–62. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6171-2_2.

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Engel, Jürgen, Christian Herdin und Christian Märtin. „Evaluation of Model-Based User Interface Development Approaches“. In Lecture Notes in Computer Science, 295–307. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07233-3_28.

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Cioroaica, Emilia, Karsten Albers, Wolfgang Boehm, Florian Pudlitz, Christian Granrath, Roland Rosen und Jan Christoph Wehrstedt. „Development and Evaluation of Collaborative Embedded Systems using Simulation“. In Model-Based Engineering of Collaborative Embedded Systems, 255–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_12.

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AbstractEmbedded systems are increasingly equipped with open interfaces that enable communication and collaboration with other embedded systems, thus forming collaborative embedded systems (CESs). This new class of embedded systems, capable of collaborating with each other, is planned at design time and forms collaborative system groups (CSGs) at runtime. When they are part of a collaboration, systems can negotiate tactical goals, with the aim of achieving higher level strategic goals that cannot be achieved otherwise. The design and operation of CESs face specific challenges, such as operation in an open context that dynamically changes in ways that cannot be predicted at design time, collaborations with systems that dynamically change their behavior during runtime, and much more. In this new perspective, simulation techniques are crucially important to support testing and evaluation in unknown environments. In this chapter, we present a set of challenges that the design, testing, and operation of CESs face, and we provide an overview of simulation methods that address those specific challenges.

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Konferenzberichte zum Thema "Model development and evaluation"

„Investigation and Evaluation of UML Action Languages“. In International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004699902640273.

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Kurilova, Julija, Saulius Minkevicius und Eugenijus Kurilovas. „ON PERSONALISED LEARNING SCENARIOS EVALUATION MODEL“. In International Technology, Education and Development Conference. IATED, 2017. http://dx.doi.org/10.21125/inted.2017.0650.

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Tong, Lizhong, Jiajia Yi und JinDan Wang. „An Innovative Urban sustainable development level evaluation Model“. In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00097.

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Baek, E. „Development of an Ultrasonic Testing Simulator Using the Mass-Spring Lattice Model“. In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711607.

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Bloom, J. G. P., F. H. Dijkstra, A. W. F. Volker, Donald O. Thompson und Dale E. Chimenti. „MODEL-BASED ULTRASONIC INSPECTION TECHNIQUE DEVELOPMENT AND EVALUATION“. In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: 34th Annual Review of Progress in Quantitative Nondestructive Evaluation. AIP, 2008. http://dx.doi.org/10.1063/1.2902644.

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Jovanovikj, Ivan, Vishwak Narasimhan, Gregor Engels und Stefan Sauer. „Context-specific Quality Evaluation of Test Cases“. In 6th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006724405940601.

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Genius, Daniela, Letitia W. Li, Ludovic Apvrille und Tullio Tanzi. „Multi-level Latency Evaluation with an MDE Approach“. In 6th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006535902950302.

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Vera-Mejia, Carlos, Maria Granda und Otto Parra. „Empirical and Theoretical Evaluation of USE and OCLE Tools“. In 9th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010263102460253.

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Cheng, Huan, und X. K. Yang. „A Comprehensive Evaluation Model for Earthquake Emergency Shelter“. In Ninth Asia Pacific Transportation Development Conference. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412299.0050.

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Al-tekreeti, Mustafa, Kshirasagar Naik, Atef Abdrabou, Marzia Zaman und Pradeep Srivastava. „Test Generation for Performance Evaluation of Mobile Multimedia Streaming Applications“. In 6th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006609302250236.

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Berichte der Organisationen zum Thema "Model development and evaluation"

McKay, S., Nate Richards und Todd Swannack. Ecological model development : evaluation of system quality. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45380.

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Ecological models are used throughout the US Army Corps of Engineers (USACE) to inform decisions related to ecosystem restoration, water operations, environmental impact assessment, environmental mitigation, and other topics. Ecological models are typically developed in phases of conceptualization, quantification, evaluation, application, and communication. Evaluation is a process for assessing the technical quality, reliability, and ecological basis of a model and includes techniques such as calibration, verification, validation, and review. In this technical note (TN), we describe an approach for evaluating system quality, which generally includes the computational integrity, numerical accuracy, and programming of a model or modeling system. Methods are presented for avoiding computational errors during development, detecting errors through model testing, and updating models based on review and use. A formal structure is proposed for model test plans and subsequently demonstrated for a hypothetical habitat suitability model. Overall, this TN provides ecological modeling practitioners with a rapid guide for evaluating system quality.

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Henmi, Teizi, und Roger Vega. Development of Mesoscale Model Performance Evaluation Programs. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada252110.

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Finney, Mark A. FARSITE: Fire Area Simulator-model development and evaluation. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 1998. http://dx.doi.org/10.2737/rmrs-rp-4.

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Preller, Ruth H., und Dong S. Ko. Relocatable Models Development and Evaluation. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada628345.

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Preller, Ruth H., und Dong S. Ko. Relocatable Models Development and Evaluation. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada625117.

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Herman, Brook, Paula Whitfield, Jenny Davis, Amanda Tritinger, Becky Raves, S. Dillon, Danielle Szimanski, Todd Swannack, Joseph Gailani und Jeffery King. Swan Island resilience model development; Phase I : conceptual model. Engineer Research and Development Center (U.S.), Januar 2023. http://dx.doi.org/10.21079/11681/46402.

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This report documents the development of an integrated hydrodynamic and ecological model to test assumptions about island resilience. Swan Island, a 25-acre island in Chesapeake Bay, Maryland, was used as a case study. An interagency, interdisciplinary team of scientists and engineers came together in a series of workshops to develop a simplified resilience model to examine the ability of islands to reduce waves and erosion and the impacts to nearby habitats and shorelines. This report describes the model development process and the results from this first key step: model conceptualization. The final conceptual model identifies four main components: vegetative biomass, island elevation, waves/currents, and sediment supply. These components interact to form and support specific habitat types occurring on the island: coastal dunes, high marsh, low marsh, and submerged aquatic vegetation. The pre-and post-construction field data, coupled with hydrodynamic ecological models, will provide predictive capabilities of island resilience and evaluations of accrued benefits for future island creation and restoration projects. The process and methods described can be applied to island projects in a variety of regions and geographic scales.

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Henmi, Teizi, Robert Flanigan und Richard Padilla. Development and Application of an Evaluation Method for the WRF Mesoscale Model. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada438387.

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Peacock, Richard D., Kevin McGrattan, Bryan Klein, Walter W. Jones und Paul A. Reneke. CFAST - consolidated model of fire growth and smoke transport (version 6) software development and model evaluation guide. Gaithersburg, MD: National Institute of Standards and Technology, 2008. http://dx.doi.org/10.6028/nist.sp.1086.

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Peacock, Richard D., und Paul A. Reneke. CFAST – Consolidated Model of Fire Growth and Smoke Transport (Version 6) Software Development and Model Evaluation Guide. National Institute of Standards and Technology, März 2013. http://dx.doi.org/10.6028/nist.sp.1086r1.

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Gaines, Roger, Stephen Sanborn, William McAnally und Christopher Wallen. Mississippi River Adaptive Hydraulics model development and evaluation, Commerce to New Madrid, Missouri, Reach. Engineer Research and Development Center (U.S.), Januar 2020. http://dx.doi.org/10.21079/11681/39519.

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A numerical, two-dimensional hydrodynamic model of the Mississippi River, from Thebes, IL, to Tiptonville, TN (128 miles/206 km), was developed using the Adaptive Hydraulics model. The study objective assessed current patterns and flow distributions and their possible impacts on navigation due to Birds Point New Madrid Floodway (BPNMF) operations and the Len Small (LS) levee break. The model was calibrated to stage, discharge, and velocity data for the 2011, 2015–2016, and 2017 floods. The calibrated model was used to run four scenarios, with the BPNMF and the LS breach alternately active/open and inactive/closed. Effects from the LS breach being open are increased river velocities upstream of the breach, decreased velocities from the breach to Thompson Landing, no effects on velocity below the confluence, and cross-current velocities greater than 3.28 ft/s (1.0 m/s) within 1186.8 ft (60 m) of the bankline revetment. Effects from BPNMF operation are increased river velocities above the confluence, decreased velocities from the BPNMF upper inflow crevasse (Upper Fuseplug) to New Madrid, cross-current velocities greater than 1.5 ft/s (0.5 m/s) only near the right bank where flow re-enters the river from the BPNMF lower inflow/outflow crevasse Number 2 (Lower Fuseplug) and St. Johns Bayou.

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