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Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Flood routing Computer simulation"

1

Pung, HK. "Simulation study of a flood routing technique for mesh-like LANs." Computer Communications 13, no. 6 (July 1990): 354–64. http://dx.doi.org/10.1016/0140-3664(90)90058-o.

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2

Hagg, Wilfried, Stefan Ram, Alexander Klaus, Simon Aschauer, Sinan Babernits, Dennis Brand, Peter Guggemoos, and Theodor Pappas. "Hazard Assessment for a Glacier Lake Outburst Flood in the Mo Chu River Basin, Bhutan." Applied Sciences 11, no. 20 (October 12, 2021): 9463. http://dx.doi.org/10.3390/app11209463.

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The frequency of glacier lake outbursts floods (GLOFs) is likely to increase with the ongoing glacier retreat, which produces new glacial lakes and enlarges existing ones. Here, we simulate the outburst of a potentially dangerous glacial lake in Bhutan by applying hydrodynamic modelling. Although the lake volume is known, several parameters connected to the dam breach and the routing of the flood are rough estimates or assumptions, which introduce uncertainties in the results. For this reason, we create an ensemble of nine outburst scenarios. The simulation of magnitude and timing of possible inundation depths is an important asset to prepare emergency action plans. For our case study in the Mo Chu River Basin, the results show that, even under the worst case scenario, little damage to residential buildings can be expected. However, such an outburst flood would probably destroy infrastructure and farmland and might even affect the operation of a hydroelectric powerplant more than 120 km downstream the lake. Our simulation efforts revealed that, by using a 30-m elevation model instead of a 5-m raster, flood magnitude and inundation areas are overestimated significantly, which highly suggests the use of high-resolution terrain data. These results may be a valuable input for risk mitigation efforts.
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3

Cordonnier, Guillaume, Benoît Bovy, and Jean Braun. "A versatile, linear complexity algorithm for flow routing in topographies with depressions." Earth Surface Dynamics 7, no. 2 (June 19, 2019): 549–62. http://dx.doi.org/10.5194/esurf-7-549-2019.

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Abstract. We present a new algorithm for solving the common problem of flow trapped in closed depressions within digital elevation models, as encountered in many applications relying on flow routing. Unlike other approaches (e.g., the Priority-Flood depression filling algorithm), this solution is based on the explicit computation of the flow paths both within and across the depressions through the construction of a graph connecting together all adjacent drainage basins. Although this represents many operations, a linear time complexity can be reached for the whole computation, making it very efficient. Compared to the most optimized solutions proposed so far, we show that this algorithm of flow path enforcement yields the best performance when used in landscape evolution models. In addition to its efficiency, our proposed method also has the advantage of letting the user choose among different strategies of flow path enforcement within the depressions (i.e., filling vs. carving). Furthermore, the computed graph of basins is a generic structure that has the potential to be reused for solving other problems as well, such as the simulation of erosion. This sequential algorithm may be helpful for those who need to, e.g., process digital elevation models of moderate size on single computers or run batches of simulations as part of an inference study.
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4

Kiczko, A., R. J. Romanowicz, M. Osuch, and E. Karamuz. "Maximizing the usefulness of flood risk assessment for the River Vistula in Warsaw." Natural Hazards and Earth System Sciences Discussions 1, no. 3 (June 13, 2013): 2695–730. http://dx.doi.org/10.5194/nhessd-1-2695-2013.

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Abstract. The derivation of flood risk maps requires an estimation of maximum inundation extent for a flood with a given return period, e.g. 100 or 500 yr. The results of numerical simulations of flood wave propagation are used to overcome the lack of relevant observations. In practice, deterministic 1-D models are used for flow routing, giving a simplified image of flood wave propagation. The solution of a 1-D model depends on the initial and boundary conditions and estimates of model parameters which are usually identified using the inverse problem based on the available noisy observations. Therefore, there is a large uncertainty involved in the derivation of flood risk maps. Bayesian conditioning based on multiple model simulations can be used to quantify this uncertainty; however, it is too computer-time demanding to be applied in flood risk assessment in practice, without further flow routing model simplifications. In order to speed up the computation times the assumption of a gradually varied flow and the application of a steady state flow routing model may be introduced. The aim of this work is an analysis of the influence of those simplifying model assumptions and uncertainty of observations and modelling errors on flood inundation mapping and a quantitative comparison with deterministic flood extent maps. Apart from the uncertainty related to the model structure and its parameters, the uncertainty of the estimated flood wave with a specified probability of return period (so-called 1-in-10 yr, or 1-in-100 yr flood) is also taken into account. In order to derive the uncertainty of inundation extent conditioned on the design flood wave, the probabilities related to the design wave and flow model uncertainties are integrated. In the present paper we take into account the dependence of roughness coefficients on discharge. The roughness is parameterised based on the available observed historical flood waves. The approach presented allows for the relationship between flood extent and flow values to be derived thus giving a cumulative assessment of flood risk. The methods are illustrated using the Warsaw reach of the River Vistula as a case study. The results indicate that the uncertainties have a substantial influence on flood risk assessment.
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5

Kiczko, A., R. J. Romanowicz, M. Osuch, and E. Karamuz. "Maximising the usefulness of flood risk assessment for the River Vistula in Warsaw." Natural Hazards and Earth System Sciences 13, no. 12 (December 23, 2013): 3443–55. http://dx.doi.org/10.5194/nhess-13-3443-2013.

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Анотація:
Abstract. The derivation of the flood risk maps requires an estimation of maximum inundation extent for a flood with a given return period, e.g. 100 or 500 yr. The results of numerical simulations of flood wave propagation are used to overcome the lack of relevant observations. In practice, deterministic 1-D models are used for that purpose. The solution of a 1-D model depends on the initial and boundary conditions and estimates of model parameters based on the available noisy observations. Therefore, there is a large uncertainty involved in the derivation of flood risk maps using a single realisation of a flow model. Bayesian conditioning based on multiple model simulations can be used to quantify this uncertainty; however, it is too computer-time demanding to be applied in flood risk assessment in practice, without further flow routing model simplifications. We propose robust and feasible methodology for estimating flood risk. In order to decrease the computation times the assumption of a gradually varied flow and the application of a steady state flow routing model is introduced. The aim of this work is an analysis of the influence of those simplifying assumptions and uncertainty of observations and modelling errors on flood inundation mapping and a quantitative comparison with deterministic flood extent maps. Apart from the uncertainty related to the model structure and its parameters, the uncertainty of the estimated flood wave with a specified probability of return period (so-called 1-in-10 yr, or 1-in-100 yr flood) is also taken into account. In order to derive the uncertainty of inundation extent conditioned on the design flood, the probabilities related to the design wave and flow model uncertainties are integrated. In the present paper that integration is done whilst taking into account the dependence of roughness coefficients on discharge. The roughness is parameterised based on maximum annual discharges. This approach allows for the relationship between flood extent and flow values to be derived, thus giving a cumulative assessment of flood risk. The methods are illustrated using the Warsaw reach of the River Vistula as a case study. The results indicate that deterministic and stochastic flood inundation maps cannot be quantitatively compared. We show that the proposed simplified approach to flood risk assessment can be applied even when breaching of the embankment occurs, with the condition that the flooded area is small enough to be filled rapidly.
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6

Dang, Chao, Yu Ding, Zun Lan Cheng, and Na Na Chu. "A Simple Model for Natural Dam Break: I Formulation." Advanced Materials Research 243-249 (May 2011): 838–43. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.838.

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A mathematical model to simulate the natural dam break process and to forecast the flood hydrograph in the breach is developed in this paper. The breach is assumed trapezoidal, coupling with the bottom width and side slope angle keeping constants during the overall process of dam breach. Simulation of dam breach evolution is based on the conservation of mass of reservoir capacity and sediment transport capacity. Particularly, broad-crest weir relation is utilized to simulate the outflow in the breach, and an empirical equation is used to compute the rate of erosion in the breached section. Because of the implicit form of these equations, an iterative solution is proposed with convergence achieved in a few iterations. The model can be used by engineers or decision makers for a wide range of applications including risk assessment of natural dams, flood routing forecasting in the downstream reach as well as floodplain inundation mapping .
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7

Tseng, Ming-Hseng. "Kinematic wave computation using an efficient implicit method." Journal of Hydroinformatics 12, no. 3 (January 7, 2010): 329–38. http://dx.doi.org/10.2166/hydro.2010.068.

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The kinematic wave theorem is the simplest and widely employed distributed routing method used in practical applications for the computation of flood wave propagation in overland and open-channel flows with steep topography. In this paper, an efficient finite-difference implicit MacCormack scheme is developed for the simulation of one-dimensional kinematic wave flows. Simulated results are compared with two analytical solutions and one experimental measurement to assess the performance of an explicit MacCormack scheme, implicit nonlinear kinematic wave scheme and implicit MacCormack scheme. The computed results show that the proposed implicit MacCormack scheme is simple, accurate, highly stable and greatly efficient in solving kinematic wave problems.
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8

Patil, Vaishnavi Kiran, Vidya R. Saraf, Omkesh V. Karad, Swapnil B. Ghodke, Dnyanesvar Gore, and Shweta S. Dhekale. "Simulation of Rainfall Runoff Process Using HEC-HMS Model for Upper Godavari Basin Maharashtra, India." European Journal of Engineering Research and Science 4, no. 4 (April 22, 2019): 102–7. http://dx.doi.org/10.24018/ejers.2019.4.4.927.

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The Hydrologic Engineering Centers Hydrologic Modeling System (HEC-HMS) is a popularly used watershed model to simulate rainfall- runoff process. Hydrological modeling is a commonly used tool to estimate the basin’s hydrological response due to precipitation. It allows to predict the hydrologic response to various watershed management practices and to have a better understanding of the impacts of these practices. It is evident from the extensive review of the literature that the studies on comparative assessment of watershed models for hydrologic simulations are very much limited in developing countries including India. In this study, modified SCS Curve Number method is applied to determine loss model as a major component in rainfall-runoff modeling. The study of HEC-HMS model is used to simulate rainfallrunoff process in Nashik region (Upper Godavari basin), Maharashtra. To compute runoff volume, peak runoff rate, and flow routing methods SCS curve number, SCS unit hydrograph, Exponential recession and Muskingum routing methods are chosen, respectively. The results of the present study indicate that HEC-HMS tool applied to watershed proved to be useful in achieving the various objectives. The study confirmed a significant increase in runoff as a result of urbanization. It is a powerful tool for flood forecasting Index
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Patil, Vaishnavi Kiran, Vidya R. Saraf, Omkesh V. Karad, Swapnil B. Ghodke, Dnyanesvar Gore, and Shweta S. Dhekale. "Simulation of Rainfall Runoff Process Using HEC-HMS Model for Upper Godavari Basin Maharashtra, India." European Journal of Engineering and Technology Research 4, no. 4 (April 22, 2019): 102–7. http://dx.doi.org/10.24018/ejeng.2019.4.4.927.

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Анотація:
The Hydrologic Engineering Centers Hydrologic Modeling System (HEC-HMS) is a popularly used watershed model to simulate rainfall- runoff process. Hydrological modeling is a commonly used tool to estimate the basin’s hydrological response due to precipitation. It allows to predict the hydrologic response to various watershed management practices and to have a better understanding of the impacts of these practices. It is evident from the extensive review of the literature that the studies on comparative assessment of watershed models for hydrologic simulations are very much limited in developing countries including India. In this study, modified SCS Curve Number method is applied to determine loss model as a major component in rainfall-runoff modeling. The study of HEC-HMS model is used to simulate rainfallrunoff process in Nashik region (Upper Godavari basin), Maharashtra. To compute runoff volume, peak runoff rate, and flow routing methods SCS curve number, SCS unit hydrograph, Exponential recession and Muskingum routing methods are chosen, respectively. The results of the present study indicate that HEC-HMS tool applied to watershed proved to be useful in achieving the various objectives. The study confirmed a significant increase in runoff as a result of urbanization. It is a powerful tool for flood forecasting Index
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10

Cui, Yiyuan, Guodong Mei, Yali Wang, and Shan Wang. "Development of Tailings Pond Flood Routing Simulation System Based on LabVIEW." Journal of Physics: Conference Series 2029, no. 1 (September 1, 2021): 012024. http://dx.doi.org/10.1088/1742-6596/2029/1/012024.

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Abstract Flood routing is an important work for tailings ponds to flood control. Although the flood routing method is relatively mature, the manual calculation and parameter selection still remain a major challenge for field engineers. In this study, a program, developed by LabVIEW, is introduced to improve the tailings ponds flood routing calculation. The developed program provides two flood generation calculation methods and four kinds of flood discharge model, which can be applied to any tailings pond and achieves flood routing fast and accurately. An application of Dexing 4# tailings pond is conducted to verify the function of program. The result indicates that the program shows good performance on calculation speed and accuracy.
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Дисертації з теми "Flood routing Computer simulation"

1

Pung, H. K. "Flood routing techniques for fibre optic local area networks with arbitrartopology." Thesis, University of Kent, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332715.

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2

Charalambous, James, University of Western Sydney, of Science Technology and Environment College, and School of Engineering and Industrial Design. "Application of Monte Carlo Simulation Technique with URBS Runoff-Routing Model for design flood estimation in large catchments." THESIS_CSTE_EID_Charalambous_J.xml, 2004. http://handle.uws.edu.au:8081/1959.7/769.

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In recent years, there have been significant researches on holistic approaches to design flood estimation in Australia. The Monte Carlo Simulation technique, an approximate form of Joint Probability Approach, has been developed and tested to small gauged catchments. This thesis presents the extension of the Monte Carlo Simulation Technique to large catchments using runoff routing model URBS. The URBS-Monte Carlo Technique(UMCT),has been applied to the Johnstone River and Upper Mary River catchments in Queensland. The thesis shows that the UMCT can be applied to large catchments and be readily used by hydrologists and floodplain managers. Further the proposed technique provides deeper insight into the hydrologic behaviour of large catchments and allows assessment of the effects of errors in inputs variables on design flood estimates. The research also highlights the problems and potentials of the UMCT for application in practical situations.
Masters of Engineering (Hons.)
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3

Herbert, Alan. "Towards large scale software based network routing simulation." Thesis, Rhodes University, 2015. http://hdl.handle.net/10962/d1017931.

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Software based routing simulators suffer from large simulation host requirements and are prone to slow downs because of resource limitations, as well as context switching due to user space to kernel space requests. Furthermore, hardware based simulations do not scale with the passing of time as their available resources are set at the time of manufacture. This research aims to provide a software based, scalable solution to network simulation. It aims to achieve this by a Linux kernel-based solution, through insertion of a custom kernel module. This will reduce the number of context switches by eliminating the user space context requirement, and serve to be highly compatible with any host that can run the Linux kernel. Through careful consideration in data structure choice and software component design, this routing simulator achieved results of over 7 Gbps of throughput over multiple simulated node hops on consumer hardware. Alongside this throughput, this routing simulator also brings to light scalability and the ability to instantiate and simulate networks in excess of 1 million routing nodes within 1 GB of system memory
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4

Nóbrega, Rui Pedro da Silva. "Visualization and interaction in a simulation system for flood emergencies." Master's thesis, Faculdade de Ciências e Tecnologia, 2008. http://hdl.handle.net/10362/7830.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Informática
This thesis presents an interaction and visualization system for a river flood emergency simulation. It will also present a detailed study about forms of visual representation of critical elements in emergencies. All these elements are currently assembled in an application based on geographic information systems and agent simulation. Many of the goals in this thesis are interconnected with project Life-Saver. This project has the goal to develop an emergency response simulator, which needs a visualization and interaction system. The main goals of this thesis are, to create a visualization system for an emergency, to design an intuitive multimedia interface and to implement new forms of human-computer interaction. At the application level there is a representation of the simulation scenario with the multiple agent and their actions. Several studies were made to create an intuitive interface. New forms of multimedia interaction are studied and used such as interactive touch sensible boards and multi-touch panels. It is possible to load and retrieve geographic information on the scenario. The resulting architecture is used to visualize a simulation of an emergency flooding situation in a scenario where the Alqueva dam in Guadiana river fails.
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Charalambous, James. "Application of Monte Carlo Simulation Technique with URBS Runoff-Routing Model for design flood estimation in large catchments." View thesis, 2004. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20050520.153001/index.html.

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Thesis (M.Eng. (Hons.)) -- University of Western Sydney, 2004.
"Masters of Engineering (Hons) thesis, University of Western Sydney, December 2004. Supervisors: Ataur Rahman and Don Carroll" Includes bibliography.
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6

Kulkarni, Shrinivas Bhalachandra. "The simulation studies on a behaviour based trust routing protocol for ad hoc networks." Diss., Online access via UMI:, 2006.

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7

Kioumourtzis, Georgios A. "Simulation and evaluation of routing protocols for Mobile Ad Hoc Networks (MANETs)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FKioumourtzis.pdf.

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Thesis (M.S. in Systems Engineering and M.S. in Computer Science)--Naval Postgraduate School, September 2005.
Thesis Advisor(s): Gilbert M. Lundy, Rex Buddenberg. Includes bibliographical references (p.133-135). Also available online.
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8

Håkansson, Mikael, and Jan Renman. "Simulation and Analysis of Wireless Ad Hoc Routing Schemes." Thesis, Blekinge Tekniska Högskola, Avdelningen för telekommunikationssystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3359.

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An Ad Hoc network is a wireless network without any stationary infrastructure of any kind. The nodes should be able to communicate with each other using wireless links, where a packet might traverse multiple links from the source to the destination. Every node in the network acts as a router, forwarding packet from one node to another. Since Ad Hoc networks are wireless and the nodes often battery driven, it is very important that the routing protocol in use can handle a large degree of node mobility and at the same time be very energy efficient. This is not an easy thing and a numerous routing protocols for wireless Ad Hoc networks have been proposed. Our goal was to simulate and make a literature study of three completely different routing protocols for wireless Ad Hoc networks: the Dynamic Source Routing protocol (DSR), the Topology Dissemination Based on Reverse-Path Forwarding protocol (TBRPF), and the Zone Routing Protocol (ZRP).
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9

Pore, Ghee Lye. "A performance analysis of routing protocols for adhoc networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FPore.pdf.

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Анотація:
Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2006.
Thesis Advisor(s): John C. McEachen. "March 2006." Includes bibliographical references (p. 85-89). Also available online.
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10

Madani, Hadi. "Application of reservoir simulation and flow routing models to the operation of multi-reservoir system in terms of flood controlling and hydropower’s regulation." Thesis, KTH, Mark- och vattenteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171853.

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Анотація:
Dams are amongst the most important components of water resource systems. In many places the water regulated by and stored in dams is essential to meet the development objectives of water supply, flood control, agriculture (i.e. irrigation and livestock), industry, energy generation and other sectors. Previous studies (Gourbesvive, 2008) indicate that in the next 30 years water use will increase by 50% in the world. By 2025 about 4 billion people will live under conditions of severe water stress. Continuous deterioration in water quality in most developing countries is additional challenge. Therefore, development of priority water infrastructures and improvements of water management have essential and complementary roles in contributing to sustainable growth and energy reduction in developing countries like Sweden. One way of improving water management is through increasing the efficiency of utilization of dam reservoirs (Bosona, 2010). Reservoir operation is a complex task involving numerous hydrological, technical, economical, environmental, institutional and political considerations. There is no general algorithm that covers all type of reservoir operation problems. The choice for techniques usually depends on the reservoir specific system characteristics, data availability, the objectives specified and the constraints imposed. Goal of the mathematical modelling and simulation of a physical system is to provide the user with the relevant information used in design and/or management decision-making. However, in the absence of adequate foresight and planning for adverse impacts, past dam construction has often resulted in devastating effects for ecosystems and the livelihoods of affected communities. In this project with Hec-ResSim simulation model four reservoirs in Ore River Basin and 3 reservoirs in Lule River Basin in different location in Sweden are considered and by new operation rules, model is simulated. With consideration of two high floods event model is calibrated and new operation rules for flood control and hydropower melioration was rendered and suggested.
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Книги з теми "Flood routing Computer simulation"

1

Keiichi, Toda, Miguez Marcelo Gomes, and Inoue Kazuya 1941-, eds. Flood risk simulation. Southampton: WIT, 2005.

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2

Lee, K. G. Simulation of flood profiles for Catoma Creek near Montgomery, Alabama, 2008. Reston, Va: U.S. Geological Survey, 2008.

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3

Kresch, David L. Development and routing of mudflow resulting from hypothetical failure of Spirit Lake debris dam, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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4

Lee, K. G. Simulation of flood profiles for Fivemile Creek at Tarrant, Alabama, 2006. Reston, Va: U.S. Geological Survey, 2007.

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5

Berenbrock, Charles. Simulation of water-surface elevations for a hypothetical 100-year peak flow in Birch Creek at the Idaho National Engineering and Environmental Laboratory, Idaho. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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6

Berenbrock, Charles. Simulation of water-surface elevations for a hypothetical 100-year peak flow in Birch Creek at the Idaho National Engineering and Environmental Laboratory, Idaho. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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7

Berenbrock, Charles. Simulation of water-surface elevations for a hypothetical 100-year peak flow in Birch Creek at the Idaho National Engineering and Environmental Laboratory, Idaho. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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8

Berenbrock, Charles. Simulation of water-surface elevations for a hypothetical 100-year peak flow in Birch Creek at the Idaho National Engineering and Environmental Laboratory, Idaho. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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9

National Workshop on "Simulation and Computer Modelling to Control the River Brahmaputra" (1989 Guwahati, India). Proceedings of the National Workshop on "Simulation and Computer Modelling to Control the River Brahmaputra", January 4-5, 1989, Guwahati. Guwahati: Institute of Advanced Study in Science and Technology, Assam Science Society, 1990.

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10

Berenbrock, Charles. Simulation of water-surface elevations for a hypothetical 100-year peak flow in Birch Creek at the Idaho National Engineering and Environmental Laboratory, Idaho. Boise, Idaho: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Частини книг з теми "Flood routing Computer simulation"

1

Weik, Martin H. "flood routing." In Computer Science and Communications Dictionary, 622. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7334.

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2

Weik, Martin H. "flood-search routing." In Computer Science and Communications Dictionary, 623. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7335.

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3

Price, Roland K. "Flood Routing Models." In Computer Modeling of Free-Surface and Pressurized Flows, 375–407. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0964-2_13.

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Diche, Zarah Jean, Cinmayii Manliguez, Maria Jezebel Jimenez, Maureen Agrazamendez, and Joseph Acosta. "Optimal Evacuation Routing Using LiDAR-Based Flood Models." In Communications in Computer and Information Science, 141–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-06010-7_9.

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Xu, Zhengdan, Jian He, and Te Xiao. "Simulation of Dam Breaching and Flood Routing on the Jinsha River." In Dam Breach Modelling and Risk Disposal, 378–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46351-9_41.

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Yamasaki, K., and K. Onishi. "Simulation of a Flood Control Reservoir with Seepage." In Computer Techniques in Environmental Studies IV, 469–77. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-1874-3_33.

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Brachman, Agnieszka. "Simulation Comparison of LEACH-Based Routing Protocols for Wireless Sensor Networks." In Computer Networks, 105–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38865-1_12.

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Wu, Wei, Hai Huang, Zhong Zhou, and Zhongshu Liu. "A Genetic Algorithm-Based Routing Service for Simulation Grid." In Lecture Notes in Computer Science, 772–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539902_95.

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Martyna, Jerzy. "Modelling and Simulation Analysis of Some Routing Schemes for Mobile Opportunistic Networks." In Computer Networks, 99–107. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07941-7_10.

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Sánchez, Rebeca, Patricia Suárez, Akemi Gálvez, and Andrés Iglesias. "Swarm Intelligence Approach for Parametric Learning of a Nonlinear River Flood Routing Model." In Communications in Computer and Information Science, 276–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24299-2_24.

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Тези доповідей конференцій з теми "Flood routing Computer simulation"

1

Li, Yuping, Liwu Pan, Ting Liu, and Chunxia Wei. "Three-dimensional GIS based dynamic visualization simulation system for flood routing." In 2012 2nd International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2012. http://dx.doi.org/10.1109/iccsnt.2012.6526184.

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2

Zhang, Jiahua, and Chi Zhang. "Numerical Simulation of Flash Floods Routing Based on Improved Leap-frog Method." In 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/iccsee.2013.669.

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3

Bhopte, Siddharth, Madhusudan K. Iyengar, Bahgat Sammakia, Roger Schmidt, and Dereje Agonafer. "Numerical Modeling of Data Center Clusters: Impact of Model Complexity." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13494.

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Анотація:
Data centers are facilities that house large numbers of computer servers that dissipate high power. With the rapid increase in the heat flux of such systems, their thermal management has become a challenge that needs to be addressed. Computational analyses using a CFD code is a very useful technique that helps the engineer to understand and solve the data center cooling problem. In this paper the state of the art of numerical modeling of data center is discussed. Representative systems are modeled using the two most prominent approaches. Variation in results with the addition of modeling details is presented. The effect of under floor parameters such as the conditioned chilled air supply flow rate, the under floor plenum depth, and the tile opening flow resistance, is discussed. Total flow rate delivered by the Computer Room Air Conditioning (CRAC) unit depends on blower and system characteristic curves, as specified by the vendor. Impact of plenum depth and tile resistance on total CRAC flow rate is discussed. Under floor blockages such as cables, pipes, and random materials, impede the flow of the cold air stream and yield unpredictable air flow patterns. Currently, models with idealized plenums are used for simulation of data centers. The effect of including blockages in CFD analyses is discussed. A novel approach that defines safe and critical paths under plenum for routing the blockages is presented.
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4

Jang, Suk-Hwan, and Sun-Woong Jung. "Flood routing simulation for dam failure time estimation." In 2012 International Conference on Systems and Informatics (ICSAI). IEEE, 2012. http://dx.doi.org/10.1109/icsai.2012.6223369.

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5

Wang, Xiaonan, and Yongsheng Wei. "Numberial Simulation of Flood Routing in the Fluvial System." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5363812.

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6

Wu Guizhi, Wu Zhouhu, and Zheng Xilai. "Numerical simulation of the effects of stream seepage on flood routing." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893125.

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7

Ghazali, Jasrul Nizam, and Amirrudin Kamsin. "A Real Time Simulation of Flood Hazard." In 2008 5th International Conference on Computer Graphics, Imaging and Visualisation (CGIV). IEEE, 2008. http://dx.doi.org/10.1109/cgiv.2008.29.

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Cornel, Daniel, Andreas Buttinger-Kreuzhuber, and Jürgen Waser. "Integrated Simulation and Visualization for Flood Management." In SIGGRAPH '20: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388767.3408335.

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9

Vakulya, Gargely, and Gyula Simony. "Energy efficient percolation-driven flood routing for large-scale sensor networks." In 2008 International Multiconference on Computer Science and Information Technology (IMCSIT). IEEE, 2008. http://dx.doi.org/10.1109/imcsit.2008.4747345.

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10

Wang, Xuechao. "Application of computer simulation in the reservoir flood control." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882785.

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