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Статті в журналах з теми "River engineering Computer simulation"
ShahiriParsa, Ahmad, Mohammad Noori, Mohammad Heydari, and Mahmood Rashidi. "Floodplain Zoning Simulation by Using HEC-RAS and CCHE2D Models in the Sungai Maka River." Air, Soil and Water Research 9 (January 2016): ASWR.S36089. http://dx.doi.org/10.4137/aswr.s36089.
Повний текст джерелаSekine, M., M. Ukita, and H. Nakanishi. "Systematic Pollutegraph Simulation for Real Scale River Basin." Water Science and Technology 23, no. 1-3 (January 1, 1991): 141–50. http://dx.doi.org/10.2166/wst.1991.0410.
Повний текст джерелаChen, Sun. "Water Pollution Simulation over a River Basin Using a Computer Graphic Model." Water Science and Technology 24, no. 6 (September 1, 1991): 101–8. http://dx.doi.org/10.2166/wst.1991.0145.
Повний текст джерелаSuzuki, M., K. Chihara, M. Okada, H. Kawashima, and S. Hoshino. "Development of Dialog System Model for Eutrophication Control between Discharging River Basin and Receiving Water Body – Case Study of Lake Sagami (Japan)." Water Science and Technology 21, no. 12 (December 1, 1989): 1821–24. http://dx.doi.org/10.2166/wst.1989.0178.
Повний текст джерелаHe, Fei, Qiuying Lai, Jie Ma, Geng Wei, and Weixin Li. "Numerical Simulations of Sudden Oil Spills in Typical Cross-Border Rivers in the Yangtze River Delta Region." Applied Sciences 12, no. 24 (December 19, 2022): 13029. http://dx.doi.org/10.3390/app122413029.
Повний текст джерелаAwang Ali, Awang Nasrizal, and Junaidah Ariffin. "Model Reliability Assessment: A Hydrodynamic Modeling Approach for Flood Simulation in Damansara Catchment Using InfoWorks RS." Advanced Materials Research 250-253 (May 2011): 3769–75. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.3769.
Повний текст джерелаIlich, Nesa. "Improvement of the return flow allocation in the Water Resources Management Model of Alberta Environment." Canadian Journal of Civil Engineering 20, no. 4 (August 1, 1993): 613–21. http://dx.doi.org/10.1139/l93-078.
Повний текст джерелаLi, Shuanhu, Jun Yang, and Ziwen Zhang. "Research on 3D International River Visualization Simulation Based on Human-Computer Interaction." Wireless Communications and Mobile Computing 2020 (December 1, 2020): 1–12. http://dx.doi.org/10.1155/2020/8838617.
Повний текст джерелаVichiantong, Sutatip, Thida Pongsanguansin, and Montri Maleewong. "Flood Simulation by a Well-Balanced Finite Volume Method in Tapi River Basin, Thailand, 2017." Modelling and Simulation in Engineering 2019 (January 15, 2019): 1–13. http://dx.doi.org/10.1155/2019/7053131.
Повний текст джерелаShokirov, B., B. Norkulov, Kh Nishanbaev, M. Khurazbaev, and B. Nazarov. "Computer simulation of channel processes." E3S Web of Conferences 97 (2019): 05012. http://dx.doi.org/10.1051/e3sconf/20199705012.
Повний текст джерелаДисертації з теми "River engineering Computer simulation"
Cheung, Priscilla 1980. "Charles River City : an educational augmented reality simulation pocket PC game." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/27096.
Повний текст джерелаIncludes bibliographical references (p. 79).
This thesis has designed and implemented Charles River City, an educational, location-based augmented reality simulation game that uses Pocket PC devices and GPS technology. As mobile devices and processing power become more common and affordable, high school teachers can take advantage of these technological advances to explore new channels for teaching and motivating students. The Charles River City game seeks to engage middle to high school students in learning science in a fun and innovative way. The story and background in the game is loosely based on a previous work called River City, a desktop multi-player virtual simulation game. In Charles River City, students work in teams to investigate the cause of several illnesses in a virtual town. Through interviewing virtual characters, gathering water samples, and analyzing collected data, students learn to think and solve problems as a scientist would. A test run of the game shows that the simulation game is an effective teaching tool that gives students a hands on experience in solving a real world problem that is fun and challenging.
by Priscilla Cheung.
M.Eng.
Mounir, Adil. "Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1513880139368117.
Повний текст джерелаChoodegowda, Ravikumar B. "Modeling small reservoirs in the Great Plains to estimate overflow and ground-water recharge." Diss., Kansas State University, 2009. http://hdl.handle.net/2097/4610.
Повний текст джерелаDepartment of Biological & Agricultural Engineering
James K. Koelliker
Small reservoirs catch and store water for long periods and they decrease streamflow and increase ground-water recharge. A field monitoring program provided the measured water depth for four years in several reservoirs in the Republican River Basin where there are concerns about their aggregate effects in the basin. The daily water budget operation for one reservoir was developed. Daily seepage rates were estimated by using precipitation, inflow and evaporation which was assumed equal to grass reference evapotranspiration (ET0), that average 120 to 150 cm/yr, along with the measured stage-storage and stage-surface area relationships. Two computer simulation modules, written in FORTRAN 95, were developed to estimate 1) overflow and gross seepage and 2) potential for ground-water recharge underneath the reservoir. Required daily input data are precipitation, ET0, and inflow from the watershed area. Required reservoir site characteristics include stage-storage and stage-surface area relationships, a standard seepage rate (S0) at 14 different levels in the reservoir, soil-water and plant-growth characteristics and a monthly crop-residue factor. The gross seepage module calculates water depth that determines daily overflow, the water-surface area for evaporation and the head of water on the 14 levels to cause seepage losses. If a level is not inundated, seepage is zero. If a level is inundated less than 0.3-m, S0 is used. When the water head (hL) on a level exceeds 0.3 m, the seepage rate (SL) is increased by, SL = S0 * (hL/0.3)0.25. This relationship was chosen after testing several exponent values between 0 and 1. The modules were calibrated on one reservoir and verified on two others in northwestern Kansas. Results showed runoff from the watersheds averaged about 1.2 to 1.6 cm/yr from the average annual precipitation of 46 to 62 cm. The three reservoirs reduced streamflow at the reservoir site by 74 to 97%, but 90 to 95% of the retained runoff was calculated to contribute to ground-water recharge. Several sensitivity analyses for model inputs were done. Results showed that, the ratio of the average annual inflow volume from the watershed area to the reservoir storage volume was the most sensitive input variable tested.
Morvan, Herve P. "Three-dimensional simulation of river flood flows." Thesis, University of Glasgow, 2001. http://theses.gla.ac.uk/6881/.
Повний текст джерелаKwon, Jae-Il. "Simulation of turbidity maximums in the York River, Virginia." W&M ScholarWorks, 2005. https://scholarworks.wm.edu/etd/1539616723.
Повний текст джерелаReda, Luiz de Lima. "Simulation and control of stormwater impacts on river water quality." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338878.
Повний текст джерелаDownes, Richard J. "Computer simulation of form-roll design." Thesis, Aston University, 1991. http://publications.aston.ac.uk/11903/.
Повний текст джерелаHoffmann, Nicole Andrea. "Computer simulation of fire-sprinkler interaction." Thesis, University of Greenwich, 1990. http://gala.gre.ac.uk/6369/.
Повний текст джерелаLian, Guoping. "Computer simulation of moist agglomerate collisions." Thesis, Aston University, 1994. http://publications.aston.ac.uk/14297/.
Повний текст джерелаAfshari, Tork Shahabeddin. "Derivation and Application of Idealized Flow Conditions in River Network Simulation." Thesis, The City College of New York, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13422984.
Повний текст джерелаStreamflow information is essential for many important uses across a broad range of scales, including global water balances, engineering design, flood forecasting, reservoir operations, navigation, water supply, recreation, and environmental management.
Natural streams are characterized by changes in cross-section geometry, slope, and geophysical properties (bed-roughness, channel slope, etc.) along their reaches. Variations in the shape and size of the channel bed geometry result from several interacting features of the river system including the effect of different flow regimes, slope, sediment load, etc. Simplifying the river bed geometries could reduce the burden of assembling the required data, so implementing less detailed routing procedures could lower the computational burden. “At-a-station” hydraulic geometry (AHG) relationships are power-law functions which relate river discharge to key the hydraulics (i.e., velocity, depth, width, and flow area). The AHG relations have been introduced and discussed among researchers, engineers, and geomorphologist since the '50s based upon a limited number of observations made over few flow monitoring stations across the United States.
This doctoral thesis starts with an introduction to statistical data filtering procedures that are being trained and tested over both synthetic and realistic data followed by being applied over ~4000 U.S. Geological Survey’s river monitoring stations to compute AHG parameters based upon robust discharge-hydraulic measures. Given “refined” dataset, estimated AHG parameters are combined with morphological (channel pattern, channel slope, etc.) and geophysical features at a site. Doing so, potential interrelation among independent and dependent variables will be highlighted. Accordingly, given some assumptions, it is verified how well channel morphology and hydraulic components are intertwined and combined with AHG parameters and how categorizing river monitoring stations according to these characteristics will be practical and useful for further studies. For instance, the application of AHG parameters in modifying numerical hydraulic routing coefficients will result in an improvement in predictability of flood routing schemes (here, Muskingum-Cunge). The thesis will be concluded by the analysis of trade-off between computation time and accuracy or complexity vs. simplicity among advanced, hydrodynamic (HEC-RAS 2D) vs. low-complexity (AutoRoute and HAND) models that is also an alternative way to affirm the advantage of idealizing or simplifying a hydraulic system over-relying on time- and energy-costly approaches.
Книги з теми "River engineering Computer simulation"
He gong mo xing liang ce yu kong zhi ji shu. Beijing: Zhong guo shui li shui dian chu ban she, 2010.
Знайти повний текст джерелаYujun, Yi, and Wang Xingkui, eds. Liu yu xu ni fang zhen mo ni. Beijing: Ke xue chu ban she, 2011.
Знайти повний текст джерелаHuval, C. J. Ship navigation simulation study, Southwest Pass Entrance, Mississippi River. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1996.
Знайти повний текст джерелаWebb, Dennis W. Ship navigation simulation study, southern branch of the Elizabeth River, Norfolk, Virginia. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1995.
Знайти повний текст джерелаFranz, Delbert D. Full Equations (FEQ) model for the solution of the full, dynamic equations of motion for one-dimensional unsteady flow in open channels and through control structures. Mountain View, Calif: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.
Знайти повний текст джерелаWebb, Dennis W. Ship navigation simulation study, southern branch of the Elizabeth River, Gilmerton and Interstate 64 bridges, Norfolk, Virginia. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1995.
Знайти повний текст джерелаMolinas, Albert. User's manual for BRI-STARS (BRidge Stream Tube model for Alluvial River Simulation). McLean, VA: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2000.
Знайти повний текст джерелаMolinas, Albert. User's manual for BRI-STARS (BRidge Stream Tube model for Alluvial River Simulation). McLean, VA: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2000.
Знайти повний текст джерелаMolinas, Albert. User's manual for BRI-STARS (BRidge Stream Tube model for Alluvial River Simulation). McLean, VA: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2000.
Знайти повний текст джерелаMolinas, Albert. User's manual for BRI-STARS (BRidge Stream Tube model for Alluvial River Simulation). McLean, VA: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2000.
Знайти повний текст джерелаЧастини книг з теми "River engineering Computer simulation"
Qamar, M. Z., M. K. Verma, A. P. Meshram, and Neena Isaac. "Numerical Simulation of Desilting Chamber Using Flow 3D." In River and Coastal Engineering, 177–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05057-2_16.
Повний текст джерелаKori, Santosh, and Prabhat Chandra. "Numerical Simulation of Wave Conditions for Mangrol Fishing Harbour." In River and Coastal Engineering, 161–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05057-2_14.
Повний текст джерелаDoi, Masao. "Computer Simulation of Polymers." In Macromolecular Science and Engineering, 287–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58559-3_19.
Повний текст джерелаEvgrafov, Alexander N., and Gennady N. Petrov. "Computer Simulation of Mechanisms." In Advances in Mechanical Engineering, 45–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53363-6_6.
Повний текст джерелаSuresh Paul, Joseph, and Subha Gouri Raveendran. "Simulation Overview." In SpringerBriefs in Electrical and Computer Engineering, 19–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25483-8_2.
Повний текст джерелаWei, Daming. "Whole Heart Modeling and Computer Simulation." In Bioelectric Engineering, 81–117. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-387-49963-5_3.
Повний текст джерелаGhasem, Nayef. "Simulation of Entire Processes." In Computer Methods in Chemical Engineering, 417–26. 2nd ed. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003167365-9.
Повний текст джерелаBudde, Carlos E., Pedro R. D’Argenio, and Holger Hermanns. "Rare Event Simulation with Fully Automated Importance Splitting." In Computer Performance Engineering, 275–90. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23267-6_18.
Повний текст джерелаBernad, Cristina, Pedro J. Roig, Salvador Alcaraz, Katja Gilly, and Sonja Filiposka. "Edge Performance Analysis Challenges in Mobile Simulation Scenarios." In Computer Performance Engineering, 151–66. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25049-1_10.
Повний текст джерелаSoiguine, Alex. "Computer Simulation Via Direct Modeling." In Lecture Notes in Electrical Engineering, 123–32. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85437-3_11.
Повний текст джерелаТези доповідей конференцій з теми "River engineering Computer simulation"
Khan, M., M. Iqbal, and J. Quaicoe. "A Technology Review and Simulation Based Performance Analysis of River Current Turbine Systems." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277821.
Повний текст джерелаBlanco, Juan C., and Carlos F. Rodríguez. "Optimal Design of a River Boat Simulator." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70456.
Повний текст джерелаDong, Yongqiang, and Liping Sun. "Computer simulation and analysis of deepwater Steel Catenary Riser." In Mechanical Engineering and Information Technology (EMEIT). IEEE, 2011. http://dx.doi.org/10.1109/emeit.2011.6023281.
Повний текст джерелаShang, Weicheng, Bojun Wang, and Yanping Yang. "Energy consumption analysis of passive buildings in the Yangtze River Delta based on PKPM-PHEnergy simulation." In International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), edited by Xuexia Ye and Guoqiang Zhong. SPIE, 2022. http://dx.doi.org/10.1117/12.2635388.
Повний текст джерелаMelanz, Daniel, Hammad Mazhar, and Dan Negrut. "Gauging Military Vehicle Mobility Through Many-Body Dynamics Simulation." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34400.
Повний текст джерелаBlanco, Juan C., and Carlos F. Rodri´guez. "Configuration Optimization of a Boat Simulation Platform for a Mobile User." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38759.
Повний текст джерелаYu, Le, and Shaohua Zhong. "Numerical simulation and optimization of automobile rivet nut cold forming." In 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, edited by Wei Qin. SPIE, 2021. http://dx.doi.org/10.1117/12.2623152.
Повний текст джерелаZoghi-Moghadam, Mohamad, Charles B. Watkins, Ali Sadegh, and Dan Dunlap. "Simulation of Stand-Up Lift Truck Accidents to Evaluate Their Design and Operator Training Implications." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32463.
Повний текст джерелаLang, Donogh W., Kieran Murphy, and Michael Lane. "Development of a New On-Board Tool for Planning Drilling Riser Operations in High Current Environments." In ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29252.
Повний текст джерелаKaslusky, Scott F., Kent S. Udell, and Glenn E. McCreery. "Numerical Modeling of Steam Injection Into Saturated Porous Media." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1568.
Повний текст джерелаЗвіти організацій з теми "River engineering Computer simulation"
Nakano, Aiichiro, Rajiv K. Kalia, and Priya Vashishta. Computer Simulation of Strain Engineering and Photonics Semiconducting Nanostructure on Parallel Architectures. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada384426.
Повний текст джерелаDobranich, D. SAFSIM theory manual: A computer program for the engineering simulation of flow systems. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10115531.
Повний текст джерелаSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3178.
Повний текст джерелаMarkova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, травень 2018. http://dx.doi.org/10.31812/0564/2250.
Повний текст джерелаTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Повний текст джерела