Relevant bibliographies by topics / Water simulating

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Water simulating'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Water simulating"

1

Sampson, D. A., E. M. Cook, M. J. Davidson, N. B. Grimm, and D. M. Iwaniec. "Simulating alternative sustainable water futures." Sustainability Science 15, no. 4 (2020): 1199–210. http://dx.doi.org/10.1007/s11625-020-00820-y.

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Erwina, Novry, Didit Adytia, Sri Redjeki Pudjaprasetya, and Toni Nuryaman. "Staggered Conservative Scheme for 2-Dimensional Shallow Water Flows." Fluids 5, no. 3 (2020): 149. http://dx.doi.org/10.3390/fluids5030149.

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Simulating discontinuous phenomena such as shock waves and wave breaking during wave propagation and run-up has been a challenging task for wave modeller. This requires a robust, accurate, and efficient numerical implementation. In this paper, we propose a two-dimensional numerical model for simulating wave propagation and run-up in shallow areas. We implemented numerically the 2-dimensional Shallow Water Equations (SWE) on a staggered grid by applying the momentum conserving approximation in the advection terms. The numerical model is named MCS-2d. For simulations of wet–dry phenomena and wav
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Conceição, Marco Antônio Fonseca, and Rubens Duarte Coelho. "Simulating wind effect on microsprinkler water distribution." Scientia Agricola 60, no. 2 (2003): 205–9. http://dx.doi.org/10.1590/s0103-90162003000200001.

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Wind incidence can affect microsprinkler water distribution. Evaluations of those conditions can be facilitated using simulations by computational models. The present work evaluates the performance of a ballistic model on simulating the wind effect on microsprinkler water distribution. Experimental tests were carried out using self-compensating microsprinklers, nozzle sizes 1.00 mm (gray), 1.10 mm (brown), 1.48 mm (orange), and 1.75 mm (yellow). The gray and brown nozzles used black swivels and the orange and yellow nozzles used blue swivels. The wind effect was artificially caused by fourteen
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Erfani, Tohid, Olga Binions, and Julien J. Harou. "Simulating water markets with transaction costs." Water Resources Research 50, no. 6 (2014): 4726–45. http://dx.doi.org/10.1002/2013wr014493.

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Campbell, J. C., and R. Vignjevic. "Simulating structural response to water impact." International Journal of Impact Engineering 49 (November 2012): 1–10. http://dx.doi.org/10.1016/j.ijimpeng.2012.03.007.

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Bennett, G. F. "Water distribution systems: Simulating and sizing." Journal of Hazardous Materials 31, no. 2 (1992): 195. http://dx.doi.org/10.1016/0304-3894(92)85015-s.

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Zhang, Bo, Shao Hui Yang, Qian Ting Hao, and Chao Hui Yu. "A Temporal-Spatial Simulation and Dynamic Regulation System of Water Quality on Sudden Water Pollution Accidents." Applied Mechanics and Materials 556-562 (May 2014): 925–28. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.925.

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We develop a novel system for temporal-spatial simulation and dynamic regulation of water quality in water pollution accidents by introducing GIS to traditional one-dimensional system dynamics water quality model. We apply this system to the Songhua River water pollution accident which happened in 2005 and achieve good performance in simulating pollution zone migration and transformation in temporal and spatial dimensions.
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Meng, Wanwan, Yongguang Cheng, Jiayang Wu, Zhiyan Yang, Yunxian Zhu, and Shuai Shang. "GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems." Applied Sciences 9, no. 1 (2018): 91. http://dx.doi.org/10.3390/app9010091.

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Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of the method of characteristics (MOC) on graphics processing unit (GPU) chips is a promising approach for accelerating the simulations, because GPU has a great parallelization ability for massive but simple computations, and the explicit and local features of MOC meet the features of GPU quite well. In this paper, we propose and verify a GPU imp
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Tillman, D. E., T. A. Larsen, C. Pahl-Wostl, and W. Gujer. "Simulating development strategies for water supply systems." Journal of Hydroinformatics 7, no. 1 (2005): 41–51. http://dx.doi.org/10.2166/hydro.2005.0005.

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The objective of this paper is to point out existing risks of current design and management strategies in water supply systems and to identify possible ways of designing and operating schemes which minimize these risks. This paper is motivated by the observation that existing design principles and engineering rules (best practice) seem to cope insufficiently or even conflict with current trends of declining water demand. In order to evaluate this situation, an agent-based model comprising the current rules of best practice was developed in a participatory process. Once the model was validated
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Ben-Shalom, Ido Y., Charles Lin, Tom Kurtzman, Ross C. Walker, and Michael K. Gilson. "Simulating Water Exchange to Buried Binding Sites." Journal of Chemical Theory and Computation 15, no. 4 (2019): 2684–91. http://dx.doi.org/10.1021/acs.jctc.8b01284.

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Dissertations / Theses on the topic "Water simulating"

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Wu, Liming, and Kai Li. "Water Simulating in Computer Graphics." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1581.

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<p>Fluid simulating is one of the most difficult problems in computer graphics. On the other hand, water appears in our life very frequently. This thesis focuses on water simulating. We have two main methods to do this in the thesis: the first is wave based water simulating; Sine wave summing based and Fast Fourier Transform based methods are all belong to this part. The other one is physics based water simulating. We make it based on Navier-Stokes Equation and it is the most realistic animation of water. It can deal with the boundary and spray which other method cannot express. Then we put ou
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Jonkergouw, Philip M. R. "Simulating chlorine decay in water distribution systems." Thesis, University of Exeter, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441805.

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Malayeri, Mohammad Reza. "Validation of the use of air/water in simulating bubbly steam/water flows." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/903/.

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Ffolliott, Peter F., William O. Rasmussen, and D. Phillip Guertin. "Simulating the Impacts of Fire: A Hydrologic Component." Arizona-Nevada Academy of Science, 1987. http://hdl.handle.net/10150/296395.

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From the Proceedings of the 1987 Meetings of the Arizona Section - American Water Resources Association, Hydrology Section - Arizona-Nevada Academy of Science and the Arizona Hydrological Society - April 18, 1987, Northern Arizona University, Flagstaff, Arizona
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Ulmstedt, Mattias, and Joacim Stålberg. "GPU Accelerated Ray-tracing for Simulating Sound Propagation in Water." Thesis, Linköpings universitet, Datorteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160308.

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The propagation paths of sound in water can be somewhat complicated due to the fact that the sound speed in water varies with properties such as water temperature and pressure, which has the effect of curving the propagation paths. This thesis shows how sound propagation in water can be simulated using a ray-tracing based approach on a GPU using Nvidia’s OptiX ray-tracing engine. In particular, it investigates how much speed-up can be achieved compared to CPU based implementations and whether the RT cores introduced in Nvidia’s Turing architecture, which provide hardware accelerated ray-tracin
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Memon, Fayyaz Ali. "Simulating the influence of roadside gully pots on runoff quality." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343723.

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Starzyk, Cynthia Ann. "Simulating surface water - groundwater interaction in the Bertrand Creek Watershed, B.C." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42520.

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This research investigates the nature and controls of surface water–groundwater interaction at the watershed scale, and investigates how mechanisms which control this interaction during baseflow conditions might best be represented within an integrated surface-subsurface numerical model. The study site is the 46 km² Bertrand Creek Watershed, which is situated in a glaciated landscape in southern western British Columbia. A conceptual model of surface water–groundwater interaction along Bertrand Creek is developed based on a field data collection program conducted during the dry seasons of 20
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Schepper, Guillaume de. "Simulating surface water and groundwater flow dynamics in tile-drained catchments." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/26532.

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Pratique agricole répandue dans les champs sujets à l’accumulation d’eau en surface, le drainage souterrain améliore la productivité des cultures et réduit les risques de stagnation d’eau. La contribution significative du drainage sur les bilans d’eau à l’échelle de bassins versants, et sur les problèmes de contamination dus à l’épandage d’engrais et de fertilisant, a régulièrement été soulignée. Les écoulements d’eau souterraine associés au drainage étant souvent inconnus, leur représentation par modélisation numérique reste un défi majeur. Avant de considérer le transport d’espèces chimiques
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Qiu, Bin. "Simulating Thermal and Chemical Spills in Coupled Cooling Reservoirs." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc279271/.

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Hot water discharges and potential chemical spills are factors that threaten water quality in cooling reservoirs of chemical and power plants. In this thesis, three models are used to analyze the impact of these factors in a particular case study.
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Zhang, Xiaoxian. "Simulating water flow in variably saturated soils containing fractures and soil pipes." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285396.

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Books on the topic "Water simulating"

1

1926-, Harbaugh John Warvelle, ed. Simulating nearshore environments. Pergamon Press, 1993.

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Reed, J. E. Digital model for simulating steady-state ground-water and heat flow. U.S. Dept. of the Interior, Geological Survey, 1985.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Hurk, Bart J. J. M. van den. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Bart J. J. M. van den Hurk. Random-walk models for simulating water vapor exchange within and above a soybean canopy. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1990.

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Glover, Kent C. A finite-element model for simulating hydraulic interchange of surface and ground water. Dept. of the Interior, U.S. Geological Survey, 1988.

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Book chapters on the topic "Water simulating"

1

Nendel, Claas. "Simulating Temperature Impacts on Crop Production Using MONICA." In Springer Water. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24409-9_22.

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Walter, H., and K. Ponweiser. "Boiler Simulation—Simulating the Water and Steam Flow." In Numerical Simulation of Power Plants and Firing Systems. Springer Vienna, 2017. http://dx.doi.org/10.1007/978-3-7091-4855-6_6.

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Koundouri, P., M. Stithou, and P. Melissourgos. "Simulating Residential Water Demand and Water Pricing Issues." In Water Resources Management Sustaining Socio-Economic Welfare. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7636-4_4.

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Wigmosta, Mark S., and William A. Perkins. "Simulating the effects of forest roads on watershed hydrology." In Water Science and Application. American Geophysical Union, 2001. http://dx.doi.org/10.1029/ws002p0127.

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Niu, Haibo, Kenneth Lee, Tahir Husain, Brian Veitch, and Neil Bose. "A Coupled Model for Simulating the Dispersion of Produced Water in the Marine Environment." In Produced Water. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0046-2_12.

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Tao, Jianhua. "Incompressible Viscous Fluid Model for Simulating Water Waves." In Numerical Simulation of Water Waves. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2841-5_9.

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McMaster, Gregory S., Jeffrey W. White, Albert Weiss, et al. "Simulating Crop Phenological Responses to Water Deficits." In Response of Crops to Limited Water. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel1.c10.

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Skvirsky, A. L. "New thermodynamic approach to simulating water-rock interaction: The ‘FLUID’ modeling code." In Water-Rock Interaction. Routledge, 2021. http://dx.doi.org/10.1201/9780203734049-189.

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Smith, R. E., and J. N. Quinton. "Dynamics and Scale in Simulating Erosion by Water." In Soil Erosion. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04295-3_13.

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Jax, Tim, and Gerd Steinebach. "Generalized ROW-Type Methods for Simulating Water Supply Networks." In Progress in Industrial Mathematics at ECMI 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63082-3_70.

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Conference papers on the topic "Water simulating"

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VonHofe, Fred, and Otto J. Helweg. "Simulating Well Hydrodynamics." In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)365.

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Nilsson, Kenneth A., Steven G. Buchberger, and Robert M. Clark. "Simulating Accidental Exposures to Deliberate Intrusions." In World Water and Environmental Resources Congress 2004. American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)471.

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Hao, Lu, Jingmin Gao, and Jing-ai Wang. "Simulating the Effects of Water Reuse on Alleviating Water Shortage." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5515327.

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Duan, Jennifer G., Michael Poteuck, Abigail Rosenberg, and Kang Zhou. "Simulating Watershed Erosion in BMGR Using AGWA Model." In World Environmental and Water Resources Congress 2017. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480625.031.

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Marco Antônio Fonseca Conceição and Rubens Duarte Coelho. "SIMULATING WIND EFFECT ON MICROSPRINKLER WATER DISTRIBUTION." In 2003, Las Vegas, NV July 27-30, 2003. American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13987.

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Wei, S., and A. Gnauck. "Simulating water conflicts using game theoretical models for water resources management." In ECOSUD 2007. WIT Press, 2007. http://dx.doi.org/10.2495/eco070011.

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Fouad H. Jaber and Sanjay Shukla. "SIMULATING WATER DYNAMICS IN STORMWATER DETENTION AREAS/WETLANDS FOR WATER SUPPLY." In 2003, Las Vegas, NV July 27-30, 2003. American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13835.

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León, Arturo S., Leonardo S. Nanía, Arthur Schmidt, and Marcelo H. García. "A Robust and Fast Model for Simulating Street Flooding." In World Environmental and Water Resources Congress 2009. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41036(342)543.

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Hotchkiss, Rollin H., Larry Weber, and Yong G. Lai. "Along the Far Computational Horizon: Simulating Fluid/Fish Interaction." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)252.

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Lai, Yong G., Larry J. Weber, and Jens Moedinger. "A Three-Dimensional Unsteady Method for Simulating River Flows." In World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40569(2001)491.

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Reports on the topic "Water simulating"

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Walton, Jr, and Todd L. Simulating Great Lakes Water Levels for Erosion Prediction. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226713.

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Jones, T. Simulating the water balance of an arid site. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/7110117.

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Teeter, A. M. Simulating Underflow Spreading From a Shallow-Water Pipeline Disposal. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada394532.

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Cook, Chris B., Marshall C. Richmond, Andre M. Coleman, Cynthia L. Rakowski, P. Scott Titzler, and Matthew D. Bleich. Numerically Simulating the Hydrodynamic and Water Quality Environment for Migrating Salmon in the Lower Snake River. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15003970.

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Cook, C., M. Richmond, and A. Coleman. Numerically Simulating the Hydrodynamic and Water Quality Environment for Migrating Salmon in the Lower Snake River, 2002-2003 Technical Report. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/962129.

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Schutt, Timothy, and Manoj Shukla. Predicting the impact of aqueous ions on fate and transport of munition compounds. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41481.

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A model framework for natural water has been developed using computational chemistry techniques to elucidate the interactions between solvated munition compounds and eight common ions in naturally occurring water sources. The interaction energies, residence times, coordination statistics, and surface preferences of nine munition related compounds with each ion were evaluated. The propensity of these interactions to increase degradation of the munition compound was predicted using accelerated replica QM/MM simulations. The degradation prediction data qualitatively align with previous quantum me
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Melby, Jeffrey, Thomas Massey, Abigail Stehno, Norberto Nadal-Caraballo, Shubhra Misra, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 1 – background and approach. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41820.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level and wave hazards for the Port Arthur CSRM structures. Coastal storm water level (SWL) and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195
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Stehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 2 – Port Arthur. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41901.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level and wave hazards for the Port Arthur CSRM structures. Coastal storm water level (SWL) and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195
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Stehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 4 – Freeport. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41903.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level (SWL) and wave hazards for the Freeport CSRM structures. Coastal SWL and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195 synthetic tropica
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Stehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 3 – Orange County. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41902.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level (SWL) and wave hazards for the Orange County CSRM structures. Coastal SWL and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195 synthetic tr
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