Добірка наукової літератури з теми "Environmental flow"

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Статті в журналах з теми "Environmental flow"

1

Kaleniuk, Maksym, Oleg Furman, and Taras Postranskyy. "Influence of traffic flow intensity on environmental noise pollution." Transport technologies 2021, no. 1 (June 18, 2021): 39–49. http://dx.doi.org/10.23939/tt2021.01.039.

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The modern urban environment, with the development of industry, the growth of the vehicle's number on the roads, and the increase in the density of buildings, is increasingly capable of negatively affect the health and well-being of the city's population. Among the factors influencing the environment is noise pollution, namely man-made noise - unwanted and harmful sounds created as a result of human activities. Today, noise is one of the most common factors of pollution among all others. The most common source of noise pollution is transport, including cars and trucks, buses, railways, airplanes, etc. The negative phenomenon of traffic noise is that almost everyone is greatly affected. This can often be accompanied by other harmful factors, such as vibration. According to scientific researches, noise can cause irritation under constant acoustic exposure. As a result, there are sleep disorders, decreased mental capacity, and the development of stress, and stress development in humans. Traffic noise is created from the operation of engines, the friction of wheels with the road surface, brakes, and aerodynamic features of vehicles, etc. In general, the level of traffic noise depends on such basic indicators as the intensity, speed, and composition of the traffic flow. Therefore, an important task is the study of traffic noise, its measurement, the establishment of appropriate dependencies, and further evaluation of the results. Knowing the level of noise generated by vehicles, further measures to reduce it are possible, such as redistribution of traffic flows on the road network, speed limits, improving the quality of the road surface, the use of basic means of reducing noise pollution, the use of noise protection devices, etc. Based on this, the negative impact of this phenomenon on the human body and the environment, in general, can be reduced.
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Opdyke, Daniel R., Edmund L. Oborny, Samuel K. Vaugh, and Kevin B. Mayes. "Texas environmental flow standards and the hydrology-based environmental flow regime methodology." Hydrological Sciences Journal 59, no. 3-4 (April 3, 2014): 820–30. http://dx.doi.org/10.1080/02626667.2014.892600.

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Gimbert, Laura J., Kevin N. Andrew, Philip M. Haygarth, and Paul J. Worsfold. "Environmental applications of flow field-flow fractionation (FIFFF)." TrAC Trends in Analytical Chemistry 22, no. 9 (October 2003): 615–33. http://dx.doi.org/10.1016/s0165-9936(03)01103-8.

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Williams, John G. "Sampling for Environmental Flow Assessments." Fisheries 35, no. 9 (September 2010): 434–43. http://dx.doi.org/10.1577/1548-8446-35.9.434.

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Giusti, Serena, Daniele Mazzei, Ludovica Cacopardo, Giorgio Mattei, Claudio Domenici, and Arti Ahluwalia. "Environmental Control in Flow Bioreactors." Processes 5, no. 4 (April 7, 2017): 16. http://dx.doi.org/10.3390/pr5020016.

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6

Wang, Xi-kun, and Soon Keat Tan. "Environmental fluid dynamics-jet flow." Journal of Hydrodynamics 22, S1 (October 2010): 962–67. http://dx.doi.org/10.1016/s1001-6058(10)60067-4.

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Halwatura, D., and MMM Najim. "Environmental Flow Assessment – An Analysis." Journal of Environmental Professionals Sri Lanka 3, no. 2 (December 24, 2014): 1. http://dx.doi.org/10.4038/jepsl.v3i2.7842.

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8

Zeng, L., G. Q. Chen, H. S. Tang, and Z. Wu. "Environmental dispersion in wetland flow." Communications in Nonlinear Science and Numerical Simulation 16, no. 1 (January 2011): 206–15. http://dx.doi.org/10.1016/j.cnsns.2010.02.019.

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Jain, Sharad K. "Assessment of environmental flow requirements." Hydrological Processes 26, no. 22 (July 18, 2012): 3472–76. http://dx.doi.org/10.1002/hyp.9455.

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Stewardson, Michael J., and Christopher J. Gippel. "Incorporating flow variability into environmental flow regimes using the flow events method." River Research and Applications 19, no. 5-6 (2003): 459–72. http://dx.doi.org/10.1002/rra.732.

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Дисертації з теми "Environmental flow"

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Goz, Caglayan. "Instream Flow Methodologies: Hydrological Environmental Flow Assessment In Pazarsuyu River." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615004/index.pdf.

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In Turkey with increasing energy demand by industrialization and urbanization, hydropower seemed to be the most environmental friendly and sustainable solution for the problem. However, hydropower has also environmental effects especially when hydropower projects are numerous on a single river, and they use almost entire water in the river. Environmental flow as a new term became popular in media with increased density of small hydropower projects in Turkey. It is the required flow in the part of diversion for Run-off River type of hydropower plant in order to protect health of the river<br>in other words, to balance components of the river, including physico-chemical quality standards, surface and groundwater, geomorphological dynamics, social, economic, cultural and landscape values. In this study, an analysis utilizing hydrological (desktop) environmental flow assessment methods is prepared for Turkey, focusing on the Pazarsuyu Basin as a case study, and the results are compared with the applications done by the Governmental Institutions. Moreover, insufficient applications with regard to environmental flow assessment are given and reasons for public concerns are pointed out due to small hydropower development in Turkey.
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Peng, Yong. "Lattice Boltzmann simulations of environmental flow problems in shallow water flows." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/8233/.

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The lattice Boltzmann method (LBM) proposed about decades ago has been developed and applied to simulate various complex fluids. It has become an alternative powerful method for computational fluid dynamics (CFD). Although most research on the LBM focuses on the Navier-Stokes equations, the method has also been developed to solve other flow equations such as the shallow water equations. In this thesis, the lattice Boltzmann models for the shallow water equations and solute transport equation have been improved and applied to different flows and environmental problems, including solute transport and morphological evolution. In this work, both the single-relaxation-time and multiple-relaxation-time models are used for shallow water equations (named LABSWE and LABSWEMRT, respectively), and the large eddy simulation is incorporated into the LABSWE (named LABSWETM) for turbulent flow. The capability of the LABSWETM was firstly tested by applying it to simulate free surface flows in rectangular basins with different length -width ratios, in which the characteristics of the asymmetrical flows were studied in details. The LABSWEMRT was then used to simulate the one- and two-dimensional shallow water flows over discontinuous beds. The weighted centred scheme for force term, together with the bed height for a bed slope, was incorporated into the model to improve the simulation of water flows over a discontinuous bed. The resistance stress was also included to investigate the effect of the local head loss caused by flows over a step. Thirdly, the LABSWEMRT was extended to simulate a moving body in shallow water. In order to deal with the moving boundaries, three different schemes with second-order accuracy were tested and compared for treating curved boundaries. An additional momentum term was added to reflect the interaction between the following fluid and the solid, and a refilled method was proposed to treat the wetted nodes moving out from the solid nodes. Fourthly, both LABSWE and LABSWEMRT were used to investigate solute transport in shallow water. The flows are solved using LABSWE and LABSWEMRT, and the advection-diffusion equation for solute transport was solved with a LBM-BGK model based on the D2Q5 lattice. Three cases: open channel flow with a side discharge, shallow recirculation flow and flow in a harbour, were simulated to verify the methods. In addition, the performance of LABSWEMRT and LABSWE were compared, and the results showed that the LABSWMRT has better stability and can be used for flow with high Reynolds number. Finally, the lattice Boltzmann method was used with the Euler-WENO scheme to simulate morphological evolution in shallow water. The flow fields were solved by the LABSWEMRT with the improved scheme for the force term, and the fifth order Euler-WENO scheme was used to solve the morphological equation to predict the morphological evolution caused by the bed-load transport.
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Regnier, Eva Dorothy. "Discounted cash flow methods and environmental decisions." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/24544.

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Petsul, Peter Haei. "Micro-flow injection analysis for environmental studies." Thesis, University of Hull, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322521.

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Durham, William McKinney. "Phytoplankton in flow." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/70868.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 111-120).<br>Phytoplankton are small, unicellular organisms, which form the base of the marine food web and are cumulatively responsible for almost half the global production of oxygen. While phytoplankton live in an environment characterized by ubiquitous fluid motion, the impacts of hydrodynamic conditions on phytoplankton ecology remain poorly understood. In this thesis, we propose two novel biophysical mechanisms that rely on the interaction between phytoplankton motility and fluid shear and demonstrate how these mechanisms can drive thin phytoplankton layers and microscale cell aggregations. First, we consider 'thin phytoplankton layers', important hotspots of ecological activity that are found meters beneath the ocean surface and contain cell concentrations up to two orders of magnitude above ambient. While current interpretations of their formation favor abiotic processes, many phytoplankton species found in these layers are motile. We demonstrate that layers can form when the vertical migration of phytoplankton is disrupted by hydrodynamic shear. Using a combination of experiments, individual-based simulations, and continuum modeling, we show that this mechanism - which we call 'gyrotactic trapping' - is capable of triggering thin phytoplankton layers under hydrodynamic conditions typical of the environments that often harbor thin layers. Second, we explore the potential for turbulent shear to produce patchiness in the spatial distribution of motile phytoplankton. Field measurements have revealed that motile phytoplankton form aggregations at the smallest scales of marine turbulence - the Kolmogorov scale (typically millimeters to centimeters) - whereas non-motile cells do not. We propose a new mechanism for the formation of this small-scale patchiness based on the interplay of gyrotactic motility and turbulent shear. Contrary to intuition, turbulence does not stir a plankton suspension to homogeneity, but instead drives patchiness. Using an analytical model of vortical flow we show that motility can give rise to a striking array of patchiness regimes. We then test this mechanism using both laboratory experiments and isotropic turbulent flows generated via Direct Numerical Simulation. We find that motile phytoplankton cells rapidly form aggregations, whereas non-motile cells remain randomly distributed. In summary, this thesis demonstrates that microhydrodynamic conditions play a fundamental role in phytoplankton ecology and, as a consequence, can contribute to shape macroscale characteristics of the Ocean.<br>by William McKinney Durham.<br>Ph.D.
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Cappiello, Alessandra 1972. "Modeling traffic flow emissions." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84328.

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Banijamali, Bahareh. "Development of a flow-condition-based interpolation 9-node element for incompressible flows." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34642.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references.<br>The Navier-Stokes equations are widely used for the analysis of incompressible laminar flows. If the Reynolds number is increased to certain values, oscillations appear in the finite element solution of the Navier-Stokes equations. In order to solve for high Reynolds number flows and avoid the oscillations, one technique is to use the flow condition-based interpolation scheme (FCBI), which is a hybrid of the finite element and the finite volume methods and introduces some upwinding into the laminar Navier-Stokes equations by using the exact solution of the advection-diffusion equation in the trial functions in the advection term. The previous works on the FCBI procedure include the development of a 4-node element and a 9-node element consisting of four 4-node sub-elements. In this thesis, the stability, the accuracy and the rate of convergence of the already published FCBI schemes is studied. In addition, a new FCBI 9-node element is proposed that obtains more accurate solutions than the earlier proposed FCBI elements. The new 9-node element does not obtain the solution as accurate as the Galerkin 9-node elements but the solution is stable for much higher Reynolds numbers (than the Galerkin 9-node elements), and accurate enough to be used to find the structural responses in fluid flow structural interaction problems. The Cubic-Interpolated Pseudo-particle (CIP) scheme is a very stable finite difference technique that can solve generalized hyperbolic equations with 3rd order accuracy in space.<br>(cont.) In this thesis, in order to solve the Navier-Stokes equations, the CIP scheme is linked to the finite element method (CIP-FEM) and the FCBI scheme (CIP-FCBI). From the numerical results, the CIP-FEM and the CIP-FCBI methods appear to predict the solution more accurate than the traditional finite element method and t;he FCBI scheme. In order to obtain accurate solutions for high Reynolds number flows, we require a finer mesh for the finite element and the FCBI methods than for the CIP-FEM and the CIP-FCBI methods. Linking the CIP method to the finite element and the FCBI methods improves the accuracy for the velocities and the derivatives. In addition, when the flow is not at the steady state and the time dependent terms need to be included in the Navier-Stokes equations, or in the problems when the derivatives of the velocities need to be obtained to high accuracy, the CIP-FCBI method is more convenient than the FCBI scheme.<br>by Bahareh Banijamali.<br>Ph.D.
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Schneur, Rina. "Scaling algorithms for multicommodity flow problems and network flow problems with side constraits." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13710.

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Murphy, Enda. "Longitudinal dispersion in vegetated flow." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34603.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references (p. 171-183).<br>Vegetation is ubiquitous in rivers, estuaries and wetlands, strongly influencing both water conveyance and mass transport. The plant canopy affects both mean and turbulent flow structure, and thus both advection and dispersion. Accurate prediction of the fate and transport of nutrients, microbes, dissolved oxygen and other scalars depends on our ability to quantify vegetative impacts. In this thesis, the focus is on longitudinal dispersion, which traditionally has been modeled by drawing analogy to rough boundary layers. This approach is inappropriate in many cases, as the vegetation provides a significant dead zone, which may trap scalars and augment dispersion. The dead zone process is not captured in the rough boundary model. This thesis describes a new theoretical model for longitudinal dispersion in a vegetated channel, which isolates three separate contributory processes. To evaluate the performance of the model, tracer experiments and velocity measurements were conducted in a laboratory flume. Results show that the mechanism of exchange between the free stream and the vegetated region is critical to the overall dispersion, and is primarily controlled by the canopy density.<br>(cont.) A numerical random walk particle-tracking model was developed to assess the uncertainty associated with the experimental data. Results suggest that the time scale required to obtain sound experimental data in tracer studies is longer than the commonly used Fickian time scale.<br>by Enda Murphy.<br>S.M.
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Assemi, Shoeleh 1963. "Use of flow field-flow fractionation for the characterisation of humic substances." Monash University, Dept. of Chemistry, 2000. http://arrow.monash.edu.au/hdl/1959.1/9028.

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Книги з теми "Environmental flow"

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Pedersen, Flemming Bo. Environmental hydraulics: Stratified flows. Berlin: Springer-Verlag, 1986.

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Joachim, Spangenberg, and European Environment Agency, eds. Material flow-based indicators in environmental reporting. Copenhagen: European Environment Agency, 1999.

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United States. Environmental Protection Agency. Office of Research and Development, ed. ZENON Environmental, Inc., cross-flow pervaporation system. Cincinnati, OH: U.S. Environmental Protection Agency, Office of Research and Development, 1995.

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San Francisco County Transportation Authority. Doyle Drive environmental and design study: Initial environmental study. San Francisco, Calif: San Francisco Transportation Authority, 2000.

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Garrigues, Debi. Reservoir drawdowns vs. flow augmentation. Salem, Or: Legislative Committee Office, 1992.

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Inc, Omega Engineering, ed. Flow, level and environmental handbook.: The green book. 7th ed. [Stamford, CT]: Omega, 2005.

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United States. Environmental Protection Agency, ed. Zenon Cross-flow Pervaporation Technology: ZENON Environmental, Inc. [Washington, D.C.?]: U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency., ed. Zenon Cross-flow Pervaporation Technology: ZENON Environmental, Inc. [Washington, D.C.?]: U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency., ed. Zenon Cross-flow Pervaporation Technology: ZENON Environmental, Inc. [Washington, D.C.?]: U.S. Environmental Protection Agency, 1995.

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10

United States. Dept. of Energy. Office of Environmental Audit. Environmental audit of the coal-fired flow facility (CFFF). Washington, DC: U.S. Dept. of Energy, Office of Environmental Audit, 1992.

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Частини книг з теми "Environmental flow"

1

Thomas, Hywel Rhys, and Stephen William Rees. "Isothermal Flow." In Environmental Geomechanics, 83–130. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2592-2_2.

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Holzbecher, Ekkehard. "Flow Modeling." In Environmental Modeling, 217–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22042-5_11.

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Kalbacher, Thomas, Xi Chen, Ying Dai, Jürgen Hesser, Xuerui Wang, and Wenqing Wang. "Richards Flow." In Terrestrial Environmental Sciences, 121–30. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11894-9_4.

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Shao, Hua, Wenkui He, Milan Hokr, Payton W. Gardner, Herbert Kunz, and Ales Balvin. "Flow Processes." In Terrestrial Environmental Sciences, 33–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29224-3_3.

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Huang, Yonghui, and Haibing Shao. "Multiphase Flow." In Terrestrial Environmental Sciences, 107–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29224-3_6.

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Riestra, Francisco. "Environmental Flow Policy." In Water Policy in Chile, 103–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76702-4_7.

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Thomas, Hywel Rhys, Michael Sansom, and Stephen William Rees. "Non-Isothermal Flow." In Environmental Geomechanics, 131–69. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2592-2_3.

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Kondolf, G. Mathias, Remi Loire, Hervé Piégay, and Jean-Réné Malavoi. "Dams and channel morphology." In Environmental Flow Assessment, 143–61. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119217374.ch8.

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Holzbecher, Ekkehard. "Potential and Flow Visualization." In Environmental Modeling, 265–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22042-5_14.

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Walther, Marc, Leonard Stoeckl, Jens-Olaf Delfs, and Thomas Graf. "Density-Dependent Flow." In Terrestrial Environmental Sciences, 205–12. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11894-9_8.

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Тези доповідей конференцій з теми "Environmental flow"

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Zhang, Daniel H., and Zifeng Yang. "Deep Learning based Optical Flow Analysis of High-speed Flows." In Laser Applications to Chemical, Security and Environmental Analysis, LTu3F.2. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/lacsea.2024.ltu3f.2.

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Two-dimensional Rayleigh scattering imaging is utilized to quantify the high-speed flow velocity by employing deep learning based optical flow analysis, along with density fields from Rayleigh scattering intensity profiles.
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Fernando, H. J. S., and G. Wang. "ENVIRONMENTAL FLUID MOTIONS." In First Symposium on Turbulence and Shear Flow Phenomena. Connecticut: Begellhouse, 1999. http://dx.doi.org/10.1615/tsfp1.20.

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Katopodes, Nikolaos D. "Control of Flow and Mixing in Environmental Flows." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)467.

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Zhang, Andi. "Multiphase flow model of the transition between Darcy flow and Forchheimer flow." In World Environmental and Water Resources Congress 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412947.050.

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Guan, Yiqing, Yan Shen, and Danrong Zhang. "River Basin Environmental Flow Calculation." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163356.

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Samson, E. B., J. A. Stark, and M. G. Grote. "Two-Phase Flow Header Tests." In Intersociety Conference on Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/871440.

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Frampton, R., J. Walleshauser, U. Bonne, D. Kubisiak, D. Hoy, I. Andu, and K. Kelly. "Gas Mass Flow Sensor Proof of Concept Testing for Space Shuttle Orbiter Flow Measurement." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1996. http://dx.doi.org/10.4271/961335.

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Cancelliere, Antonino, David J. Peres, and Nunziarita Palazzolo. "Potential of Mean Daily Flows for Improving Peak Flow Quantiles Estimation." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481400.045.

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Ku, Jentung, Theodore D. Swanson, Keith Herold, and Kim Kolos. "Flow Visualization within a Capillary Evaporator." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/932236.

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Blackwell, C., and A. Zografos. "A One-Dimensional Flow Model for the Study of Crop Shoot Chamber Air Supply Flow Uniformity." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/932247.

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Звіти організацій з теми "Environmental flow"

1

McKay, S. Is mean discharge meaningless for environmental flow management? Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45381.

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Анотація:
River ecosystems are highly dependent on and responsive to hydrologic variability over multiple time scales (e.g., hours, months, years). Fluctuating river flows present a key challenge to river managers, who must weigh competing demands for freshwater. Environmental flow recommendations and regulations seek to provide management targets balancing socio-economic outcomes with maintenance of ecological integrity. Often, flow management targets are based on average river conditions over temporal windows such as days, months, or years. Here, three case studies of hydrologic variability are presented at each time scale, which demonstrate the potential pitfalls of mean-based environmental flow criteria. Each case study shows that the intent of the environmental flow target is not met when hydrologic variability is considered. While mean discharge is inadequate as a single-minded flow management target, the consequences of mean flow prescriptions can be avoided in environmental flow recommendations. Based on these case studies, a temporal hierarchy of environmental flow thresholds is proposed (e.g., an instantaneous flow target coupled with daily and monthly averages), which would improve the efficacy of these regulations.
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O'Brien, G., C. Dickens, M. Wade, R. Stassen, G. Diedericks, J. MacKenzie, A. Kaiser, et al. E-flows for the Limpopo River Basin: environmental flow determination. International Water Management Institute (IWMI); USAID, 2022. http://dx.doi.org/10.5337/2022.222.

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3

Eriyagama, N., M. L. Messager, C. Dickens, R. Tharme, and R. Stassen. Towards the harmonization of global environmental flow estimates: comparing the Global Environmental Flow Information System (GEFIS) with country data. International Water Management Institute (IWMI), 2024. http://dx.doi.org/10.5337/2024.204.

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4

Harris, Aubrey, Jonathan AuBuchon, and Michael Porter. Comparing ecological models for assessing Rio Grande silvery minnow response to environmental flows. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48593.

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The proliferation of continuous streamflow monitoring and spatial data suitable for hydraulic modeling is increasing opportunities to use hydraulic habitat analysis to inform ecological models. However, species population and streamflow data exhibit high variability, making it challenging to identify hydrologic and hydraulic metrics that effectively correlate with ecological outcomes. Metric selection presents a challenge for informing environmental flow decisions and adaptive management of water infrastructure. This study applies models to characterize environmental flows with in-creasing model complexity, including the use of hydraulic models to estimate suitable habitat areas at a given flow. The results are compared to field-measured fish outcomes over the same period using functional data analysis. The variance in model correlation with ecological outcomes aids in identifying the most effective environmental flow parameters while also indicating potential pitfalls from increasing model complexity. This analysis demonstrates techniques that synthesize environmental flows with available habitat analysis and validates the approach. The case study is based on the Rio Grande silvery minnow (Hybognathus amarus, minnow), an endangered fish species in the Middle Rio Grande. Analysis focused on different methods to quantify spring runoff coinciding with the inundation of floodplain nursery habitat necessary for the minnow’s larval and juvenile life stages.
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5

Paige, Karen S. Environmental Data Flow Six Sigma Process Improvement Savings Overview. Office of Scientific and Technical Information (OSTI), May 2015. http://dx.doi.org/10.2172/1182615.

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6

Sood, A., V. Smakhtin, N. Eriyagama, K. G. Villholth, N. Liyanage, Y. Wada, G. Ebrahim, and C. Dickens. Global environmental flow information for the sustainable development goals. International Water Management Institute (IWMI), 2017. http://dx.doi.org/10.5337/2017.201.

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7

Zielinski, Daniel, James Kerr, Kim Bærum, Olivia Simmons, Ana Silva, and R. Goodwin. Advancements in riverine fish movement modeling : bridging environmental complexity and fish behavior. Engineer Research and Development Center (U.S.), September 2024. http://dx.doi.org/10.21079/11681/49423.

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Understanding fish movement and response in relation to their environment near infrastructure and migratory barriers is crucial for developing sustainable fisheries management solutions. Intermediate-scale movement models are a contemporary approach for understanding and predicting movement patterns of riverine fish considering their changing environment, which is predominately water flow. These models can be complex and require interdisciplinary knowledge. For more than 60 years, different approaches have been developed for investigating, reproducing, and predicting the movement outcomes of fish decision making. Due to the breadth of model frameworks available, a systematic review is helpful to summarize the available knowledge including a description of general model properties, environment modeling, agent characteristics, and methods of data use, output, and validation. The analysis of 38 studies found a wide range of model frameworks and architectures. Despite the lack of consistency, each model imposed some combination of the following behaviors: response to flow direction (i.e., rheotaxis), response to flow velocity magnitude, response to turbulence, response to depth, and memory/experience of the individual. There is a clear need for more consistent modeling approaches, increased consideration of memory/experience, inclusion of a wider range of species, incorporation of more detailed environmental covariates, and use of time-dependent solutions in fish movement models.
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8

Slone, Scott, Marissa Torres, Alexander Stott, Ethan Thomas, and Robert Ibey. CRREL Environmental Wind Tunnel upgrades and the Snowstorm Library. Engineer Research and Development Center (U.S.), January 2024. http://dx.doi.org/10.21079/11681/48077.

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Environmental wind tunnels are ideal for basic research and applied physical modeling of atmospheric conditions and turbulent wind flow. The Cold Regions Research and Engineering Laboratory's own Environmental Wind Tunnel (EWT)—an open-circuit suction wind tunnel—has been historically used for snowdrift modeling. Recently the EWT has gone through several upgrades, namely the three-axis chassis motors, variable frequency drive, and probe and data acquisition systems. The upgraded wind tunnel was used to simulate various snowstorm conditions to produce a library of images for training machine learning models. Various objects and backgrounds were tested in snowy test conditions and no-snow control conditions, producing a total of 1.4 million training images. This training library can lead to improved machine learning models for image-cleanup and noise-reduction purposes for Army operations in snowy environments.
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Sridharan, Kumar, and Mark Anderson. Corrosion in Supercritical carbon Dioxide: Materials, Environmental Purity, Surface Treatments, and Flow Issues. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1111547.

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10

Mooney, Benjamin. Understanding the Efficiency of Energy Flow Through Aquatic Food Webs. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.2kg9dkp0ch.

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The efficiency of energy flow through aquatic food webs is crucial for ecosystem functioning. The energy available to higher trophic levels varies across ecosystems and is influenced by factors such as nutrient availability and species composition. Recent research indicates that temperature also plays a significant role in determining energy transfer efficiency. This essay addresses the factors contributing to variability in energy flow efficiency between aquatic ecosystems, with a focus on the impacts of global climate change. It explores how food web characteristics influence energy transfer between trophic levels and examines the challenges in understanding and estimating energy flow due to complex trophic relationships, spatial subsidies, and processes across multiple biological levels. The essay highlights the dynamic response of energy flow efficiency to climate changerelated environmental changes, such as rising temperatures, altered precipitation patterns, and nutrient inputs. Additionally, it identifies gaps in our current understanding and suggests important avenues for further research to improve predictions of energy flow changes, essential for informing sustainable management strategies in the face of environmental change.
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