Добірка наукової літератури з теми "Variable water"

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Статті в журналах з теми "Variable water"

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Freebairn, John, and John Quiggin. "Water rights for variable supplies." Australian Journal of Agricultural and Resource Economics 50, no. 3 (September 2006): 295–312. http://dx.doi.org/10.1111/j.1467-8489.2006.00341.x.

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KIRKE, Brian, and Leo LAZAUSKAS. "Variable Pitch Darrieus Water Turbines." Journal of Fluid Science and Technology 3, no. 3 (2008): 430–38. http://dx.doi.org/10.1299/jfst.3.430.

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Liu, M. "Variable Water Flow Pumping for Central Chilled Water Systems." Journal of Solar Energy Engineering 124, no. 3 (August 1, 2002): 300–304. http://dx.doi.org/10.1115/1.1488667.

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A new variable water (VW) flow system for chilled water system application is presented. Design, operational, and control issues are discussed. Analytical models of pump power and evaporative temperature are developed. The VW systems consume considerably less pump and compressor energy than the primary secondary (PS) systems under partial load conditions for most existing chillers. The VW system consumes less compressor energy since it results in higher refrigerant temperature in the evaporator. The VW systems also have the decoupling capability of the primary and secondary pumping systems.
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4

Mailindra, Wiyan, and Azwar Anas. "Analisis Faktor-Faktor yang Mempengaruhi Permintaan Air Minum PDAM Tirta Sakti Kerinci." Jurnal Ilmiah Universitas Batanghari Jambi 18, no. 2 (July 9, 2018): 443. http://dx.doi.org/10.33087/jiubj.v18i2.489.

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This research was carried out using quantitative descriptive method. to determine the factors that affect demand for drinking water PDAM Tirta Sakti Kerinci regency during the years 2003-2017 used multiple linear regression model with melogaritmakan model. From the calculation by using SPSS version 12.0 was obtained coefficient of determination (R2) of 0.984, which means that the model is able to explain the total variation in demand caused by the variable Per Capita Income, Price Water, Number of Customers and Production. From the result, known that variable-free variables Per Capita Income, Price Water, Total Customer and production significantly influence the dependent variable was the demand of drinking water. But if we see a partial, then only the per capita income variable, the variable price of water and production variables that significantly influence the dependent variable was the demand of drinking water. This was seen from test results where the t-calculated t = 3.098> 1.812 but has a negative direction for variable income per capita, t-count = 2.475> t-table value = 1.812 for the variable price of water and t-calculated value = 4.805> t -table = 1.812 for the variable production, because t count> t-table, so Ho is rejected. This means that the variable of per capita income, water price variable and the variables significantly affect the production of variable demand (consumption) of drinking water on the PDAM Tirta Sakti Kerinci district.
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Dixon, Daniel N., and Stephen K. Mitchell. "Shallow water propagation with variable depth." Journal of the Acoustical Society of America 77, S1 (April 1985): S14. http://dx.doi.org/10.1121/1.2022191.

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Grimshaw, R. H. J., and S. Y. Annenkov. "Water Wave Packets Over Variable Depth." Studies in Applied Mathematics 126, no. 4 (January 10, 2011): 409–27. http://dx.doi.org/10.1111/j.1467-9590.2010.00508.x.

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Usman, Muhammad, Zahira Batool, and Maqsod Anjum. "EFFECTS OF WATER CONSUMPTION BEHAVIOR ON AVAILABILITY OF DRINKING WATER IN FAISALABAD, PUNJAB PAKISTAN." Pakistan Journal of Social Research 04, no. 01 (March 31, 2022): 352–65. http://dx.doi.org/10.52567/pjsr.v4i1.658.

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The water consumption behavior is needed to be monitor to avoid the clean water scarcity. The proposed research is being conducted to assess the clean water consumption behavior of people. The nature of study was Quantitative. It is concluded that strong negative relationship exists between independent variables (Household Income, Large size of family, family type, Consumption behavior of water on different activities) and Dependent variables (Availability of Drinking Water). Results of the study also revealed the strong positive relationship between independent variable (Awareness regarding water) independent and dependent variable (Availability of Drinking Water). Keywords: Drinking Water Availability, Water Consumption Behavior, Water Related Awareness Water Consumption
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Putri, Nanda Regita Cahyaning, Ifan Deffinika, and Dicky Arinta. "Distribution of Water Pollution SubBengawan Solo Upstream Watershed on Central Java in 2020." IOP Conference Series: Earth and Environmental Science 1066, no. 1 (July 1, 2022): 012013. http://dx.doi.org/10.1088/1755-1315/1066/1/012013.

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Abstract The Bengawan Solo watershed is included in the 15 priority watersheds that must be restored because it is one of the 108 critical watersheds in Indonesia. It is indicated that the Bengawan Solo Hulu sub-watershed is experiencing pollution and water quality degradation due to the population growth rate and various community activities around the watershed area. This research was conducted to study pollution and water quality using a spatial approach in the Upper Solo Bengawan sub-watershed in the Central Java region. The research was conducted using the Pollution Index method and Geographically Weighted Regression (GWR) modeling using BOD, COD, TSS, TDS, DO and Phosphate parameters. The results of the Pollution Index carried out show that 5 sample points are included in the category of light pollution quality and 8 sample points are moderately polluted. The lowest pollution index value is 2. 87 at point 3 of the Upper Samin River area, Karanganyar Regency. The highest pollution index value is 7.5 at point 9 in the Lower Premulung River area, Surakarta City. The results of GWR on the dependent variable BOD show that the DO variable has the most significant effect. In the dependent variable COD, the BOD variable has the most significant effect. The TDS and Phosphate variables have the most significant effect on each dependent variable and the DO dependent variable shows that the BOD variable has the most significant effect compared to other variables. In the dependent variable COD, the BOD variable has the most significant effect. The TDS and Phosphate variables have the most significant effect on each dependent variable and the DO dependent variable shows that the BOD variable has the most significant effect compared to other variables. In the dependent variable COD, the BOD variable has the most significant effect. The TDS and Phosphate variables have the most significant effect on each dependent variable and the DO dependent variable shows that the BOD variable has the most significant effect compared to other variables.
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Gallardo, M., L. E. Jackson, K. Schulbach, R. L. Snyder, R. B. Thompson, and L. J. Wyland. "Production and water use in lettuces under variable water supply." Irrigation Science 16, no. 3 (February 1996): 125–37. http://dx.doi.org/10.1007/bf02215620.

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Gallardo, M., L. E. Jackson, K. Schulbach, R. L. Snyder, R. B. Thompson, and L. J. Wyland. "Production and water use in lettuces under variable water supply." Irrigation Science 16, no. 3 (March 28, 1996): 125–37. http://dx.doi.org/10.1007/s002710050011.

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Дисертації з теми "Variable water"

1

Kamat, Madhusudan Sunil. "Soil moisture change due to variable water table." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54922.

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The thesis numerically models and investigates the effect of a variable water table on the soil moisture content. The modelling is done using COMSOL and Richards' equation. The temporal variation plots can be used to find the capillarity of the soil and its impact on other phenomenon such as vapor intrusion and infiltration.
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Ropp, David L. "Numerical study of shallow water models with variable topography." Diss., The University of Arizona, 2000. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_2000_165_sip1_w.pdf&type=application/pdf.

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Qi, Jiaguo 1959. "Spectral properties of paddy rice with variable water depth." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277119.

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An experiment was conducted to determine whether the water depth (above soil) and soil type would have any influence on the multispectral reflectances of paddy rice, and their calculated vegetation index values. The results showed that, when vegetation cover was low (below 600 grams of dry biomass per square meter), the near infrared (NIR) reflectances decreased very little with water depth. The same was true for red reflectances, but to a lesser degree. Overall the changes were not significant at 0.05 level of significance when the water depth was increased from 2.5 centimeters to 10 centimeters. When the vegetation cover became higher most NIR and red reflectances did not show a significant decrease with the increase of the water depth, and sometimes they even increased slightly up to a water depth of 6.4 cm. Nevertheless both rice cover and water depth as well as soils played an important role in the reflectance pattern in red and NIR bands. Some index values increased and some decreased depending on water depth and rice cover. Statistical analysis of the data showed that rice multispectral responses were mainly controlled by vegetation and minimally influenced by soil and water depths.
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4

Fritz, Christian. "Surface oscillation in peatlands : how variable and important is it? /." The University of Waikato, 2006. http://hdl.handle.net/10289/2397.

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Hydrology, particularly the water table position below the surface, is an mportant control on biogeochemical and ecological processes in peatlands. The position of the water table is a function of total storage changes, drainable porosity and peatland surface oscillation (PSO). Because the absolute level of the peat surface (ASL) oscillates in a peatland, we can assign two different water table positions: the water table depth below the surface (relative water level, RWL) and the water table position above an absolute elevation datum eg. sea level (absolute water level, AWL). A review of 37 studies that report peatland surface oscillation indicate awide range (0.4-55 cm), which is to the same order as (or one order smaller than) water storage changes and RWL fluctuations. PSO can vary substantially across a single peatland and through time. A set of mechanisms (flotation, compression/shrinkage, gas volume changes and freezing) is hypothesised to cause ASL changes. The potential of PSO to reduce RWL fluctuations trended (mean in %) floating peatlands (63) greater than bogs (21), fens (18) greater than disturbed peatlands (10) with respect to peatland types. To investigate the spatiotemporal variability of peatland surface oscillation, AWL and ASL were monitored continuously over a one-year period (one site) and monthly (23 sites) in a warm-temperate peatland that is dominated by Empodisma minus (Restionaceae). A new measurement method was developed by pairing two water level transducers, one attached to a stable benchmark (AWL) and one attached to the peat surface (RWL). From August 2005 until August 2006 the ASL oscillated at one site through a range of 22 cm following AWL fluctuations (in total 47 cm). Consequently, RWL fluctuations were reduced on average to 53% of AWL fluctuations. The strong AWL-ASL relationship was linear for 15 sites with manual measurements. However, eight sites showed significantly higher rates of peatland surface oscillation during the wet season (ie. high AWLs) and thus a non-linear behaviour. Temporary flotation of upper peat layers during the wet season may have caused this non-linear behaviour. On the peatland scale AWL fluctuations (mean 40 cm among sites) were reduced by 30-50% by PSO except for three sites with shallow and dense peat at the peatland margin (7-11%). The reduction of RWL fluctuation was high compared to literature values. The spatial variability of PSO seemed to match well with vegetation patterns rather than peat thickness or bulk density. Sites with large PSO showed high cover of Empodisma minus. Surface level changes exhibited surprisingly hysteretic behaviour subsequent to raised AWLs, when the rise of ASL was delayed. This delay reversed the positive ASL-AWL relationship because the surface slowly rose even though AWL started receding. Hysteresis was more pronounced during the dry season than during the wet season. The observed hysteresis can be sufficiently simulated by a simplistic model incorporating delayed ASL fluctuations. PSO has wide implications for peatland hydrology by reducing RWL fluctuations, which feed back to peat decomposition and plant cover and potentially to (drainable) porosity. Stable RWL also reduce the probability of surface run-off. It is further argued that the gas content of the roots of plants, particularly Empodisma minus, added enough buoyancy to detach the uppermost peat layers resulting in flotation.
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Killen, Sean Martin. "Propagation of nonlinear water waves over variable depth in cylindrical geometry." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366639.

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Wraith, Jon M. "Soil Temperature Influence on Water Use and Yield Under Variable Irrigation." DigitalCommons@USU, 1989. https://digitalcommons.usu.edu/etd/1996.

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The need for efficient use of water resources has increased the importance of optimum soil water usage in agricultural systems. Soil temperature has been shown to be important in influencing the early development of many plant species. Many agricultural regions have suboptimal soil temperature regimes for plant growth, and some cultural practices have been shown to reduce near-surface soil temperatures. The seasonal influence of soil temperature on soil water extraction and aboveground and belowground plant growth under variable irrigation was investigated at the USU Greenville Farm in Logan, UT. Soil surface mulches and buried heat cables were used to modify soil temperature. A line-source sprinkler system provided a gradient of water application. During 1987 yields were mainly influenced by irrigation. During 1988 greater soil temperature differences resulted in significant plant growth and yield responses. Soil water depletion corresponded to soil temperature treatments during the early part of the growing seasons. Depth of maximum soil water depletion was about 20 cm deeper for warm treatments. Water uptake rates of earlier-maturing plants in warm treatments were reduced later in the season, so that cumulative seasonal soil water depletion was similar for all temperature treatments. Although depth of rooting was somewhat greater under high than low irrigation during 1988, low irrigation treatments depleted soil water to greater depth. There was no interactive response of plant growth and yield or of soil water depletion to soil temperature and irrigation treatments. Modifications were made to a computer simulation model of the soil-plant-atmosphere system in order to more mechanistically simulate plant water uptake and to include influences of soil temperature on seasonal rooting growth and soil water extraction. The model adequately simulated both the pattern and magnitude of soil temperature influences on soil water depletion, and conclusions drawn from model simulations agreed with field observations during 1987 and 1988.
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Eusuff, M. Muzaffar. "Optimisation of an operating policy for variable speed pumps using genetic algorithms." Title page, contents and abstract only, 1995. http://web4.library.adelaide.edu.au/theses/09ENS/09ense91.pdf.

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Undertaken in conjunction with JUMP (Joint Universities Masters Programme in Hydrology and Water Resources). Bibliography: leaves 76-83. Establishes a methodology using genetic algorithms to find the optimum operating policy for variable speed pumps in a water supply network over a period of 24 hours.
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Panupintu, Wantana. "The propagation of nonlinear water waves over variable depth with shear flow." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246653.

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Goswami, Rohit Raj Clement Prabhakar Thangadurai. "Experimental and numerical analysis of variable-density flow and transport scenarios." Auburn, Ala, 2008. http://hdl.handle.net/10415/1430.

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Hipkiss, Sarah. "A Camassa-Holm equation for the propagation of water waves over variable depth." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412646.

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Книги з теми "Variable water"

1

Teekaram, Arnold. Variable-flow water systems: Design, installation and commissioning guidance. Bracknell, Berks: BSRIA, 2002.

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2

Yager, Richard M. Halite brine in the Onondaga Trough near Syracuse, New York: Characterization and simulation of variable-density flow. Reston, Va: U.S. Geological Survey, 2007.

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Fanney, A. H. Field monitoring of a variable-speed integrated heat pump water heating appliance. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1993.

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Sanford, Ward E. A two-constituent solute-transport model for ground water having variable density. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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Sanford, Ward E. A two-constituent solute-transport model for ground water having variable density. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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Sanford, Ward E. A two-constituent solute-transport model for ground water having variable density. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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Sanford, Ward E. A two-constituent solute-transport model for ground water having variable density. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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8

Sanford, Ward E. A two-constituent solute-transport model for ground water having variable density. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.

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9

Robertson, Kevin. Characterization of nickel hydroxide sludge using the variable pressure SEM. Montréal, Qué: Dept.of Mining, Metals and Materials Engineering, McGill University, 2004.

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10

Kontis, A. L. Modifications of a three-dimensional ground-water flow model to account for variable water density and effects of multiaquifer wells. Madison, Wis: Dept. of the Interior, U.S. Geological Survey, 1988.

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Частини книг з теми "Variable water"

1

Pradhan, Ankita, and J. Indu. "Uncertainty in Calibration of Variable Infiltration Capacity Model." In Springer Water, 89–108. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02197-9_4.

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Nachbin, André. "Modeling Surface Waves Over Highly Variable Topographies." In Nonlinear Water Waves, 1–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33536-6_1.

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Tan, H., and F. Cai. "Research on variable water volume collaborating with a variable water temperature operation scheme." In Green Building, Environment, Energy and Civil Engineering, 241–44. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315375106-51.

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Sugarman, Samuel C. "Variable Air Volume Systems." In Testing and Balancing HVAC Air and Water Systems, 113–33. 6th ed. New York: River Publishers, 2021. http://dx.doi.org/10.1201/9781003207337-8.

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Little-Marenin, Irene R., and Priscilla J. Benson. "Variable Water Maser Emission from Circumstellar Disks." In ESO Astrophysics Symposia, 88–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-540-68597-5_16.

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King, B. A., R. A. Brady, I. R. McCann, and J. C. Stark. "Variable Rate Water Application Through Sprinkler Irrigation." In Site-Specific Management for Agricultural Systems, 485–93. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c33.

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Soares, Cristiano, Sergio M. Jesus, and Emanuel Coelho. "Shallow water tomography in a highly variable scenario." In Acoustic Sensing Techniques for the Shallow Water Environment, 197–211. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4386-4_15.

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Kataev, Valerii N., Evgenii A. Ikonnikov, Irina G. Ermolovich, and Anna A. Demina. "Water-Rich Zones in Terrigenous Lithologically Variable Strata." In Lecture Notes in Networks and Systems, 245–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89477-1_24.

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Narendra, Hengade, T. I. Eldho, and Ghosh Subimal. "Hydrological Simulation of a Large Catchment Using the Variable Infiltration Capacity Model." In Water Science and Technology Library, 19–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55125-8_2.

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Joshi, L. P., and Nayan Raturi. "Energy Gain from Tehri PSP Due to Adoption of Variable Speed Technology." In Water Science and Technology Library, 269–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59148-9_19.

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Тези доповідей конференцій з теми "Variable water"

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Perumal, Muthiah, and Bhabagrahi Sahoo. "Comparison of Variable Parameter Muskingum-Cunge and Variable Parameter McCarthy-Muskingum Routing Methods." In World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.128.

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Castangia, Paola, Andrea Tarchi, Francesca Panessa, Christian Henkel, Angela Malizia, Loredana Bassani, and Angela Bazzano. "Water maser and hard X-ray emission in AGN." In The Extreme and Variable High Energy Sky. Trieste, Italy: Sissa Medialab, 2012. http://dx.doi.org/10.22323/1.147.0068.

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Truman, C. C., T. L. Potter, and R. C. Nuti. "Quantifying variable rainfall intensity events on runoff and sediment losses." In WATER RESOURCES MANAGEMENT 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/wrm110231.

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Charles, W. M., E. van den Berg, H. X. Lin, and A. W. Heemink. "Variable time stepping in parallel particle models for transport problems in shallow waters." In WATER POLLUTION 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/wp060461.

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Vories, Earl, Phil Tacker, Daniel Stephenson, Sreekala Bajwa, and Calvin Perry. "Performance of a Variable Rate Center Pivot System." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)83.

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Menke, Ruben, Edo Abraham, and Ivan Stoianov. "Modeling Variable Speed Pumps for Optimal Pump Scheduling." In World Environmental and Water Resources Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479858.022.

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Tarchi, Andrea, Paola Castangia, Francesca Panessa, and Jim A. Braatz. "Narrow-line Seyfert 1's, water masers, and the peculiar case of IGR16385-2057." In The Extreme and Variable High Energy Sky. Trieste, Italy: Sissa Medialab, 2012. http://dx.doi.org/10.22323/1.147.0050.

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Chapman, N. R., Yong-min Jiang, Jeffrey Simmen, Ellen S. Livingston, Ji-Xun Zhou, and Feng-Hua Li. "Geoacoustic Inversion in a Spatially and Temporally Variable Shallow Water Environment." In SHALLOW-WATER ACOUSTICS: Proceedings of the Second International Shallow-Water Acoustics Conference (SWAC’09). AIP, 2010. http://dx.doi.org/10.1063/1.3493065.

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9

Li, Min, Ru-Rui Zhou, Yun-Tao Wang, and Dongmei Liu. "Variable Fuzzy Sets Method for Flood Seasonality of Catchments." In World Environmental and Water Resources Congress 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.059.

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10

Mu, Baojie, Yaoyu Li, Bin Hu, and John E. Seem. "A Multi-Variable Newton-Based Extremum Seeking Control for a Chilled Water Plant With Variable Water and Air Flow." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6343.

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Анотація:
The chilled water system, typically consisting of chiller and cooling tower, plays a major role in the ventilation and air-conditioning systems in commercial buildings. Due to the significant power consumption of such system, improvement of its efficiency would lead to significant benefit in energy saving. As the system characteristics and operational conditions can vary dramatically in practice, model-free self-optimizing control is of high interest in practice. In this study, the chilled-water plant being studied consists of one screw chiller and one counter-flow cooling tower. A multi-variable Newton-based extremum seeking control (ESC) scheme is applied to maximize the power efficiency in real time with the cooling load being satisfied. The feedback for the ESC controller is the total power of the chiller compressor, the cooling tower fan and the condenser water pump, while the inputs are cooling-tower fan speed and the condenser-loop water flow rate. The two-input Newton-based ESC controller is simulated with a Modelica based dynamic simulation model of the chiller-tower system. Two inner-loop PI controllers are used to regulate the temperatures of evaporator superheat and evaporator leaving water at their respective setpoints. Simulation results validate the effectiveness of the proposed control strategy. Remarkable energy saving is observed for several testing conditions.
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Звіти організацій з теми "Variable water"

1

Rouseff, Daniel. Propagation and Scattering in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542085.

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2

Kirby, James T. Nonlinear, Dispersive Long Waves in Water of Variable Depth. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada308118.

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3

Rouseff, Daniel. Propagation and Scattering in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada571675.

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4

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612665.

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5

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531388.

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6

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada627568.

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7

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation In a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629545.

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8

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation in a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada568952.

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9

Rouseff, Daniel. Numerical Modeling of Acoustic Propagation In a Variable Shallow Water Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada625527.

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10

Cohen, Yafit, Carl Rosen, Victor Alchanatis, David Mulla, Bruria Heuer, and Zion Dar. Fusion of Hyper-Spectral and Thermal Images for Evaluating Nitrogen and Water Status in Potato Fields for Variable Rate Application. United States Department of Agriculture, November 2013. http://dx.doi.org/10.32747/2013.7594385.bard.

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Potato yield and quality are highly dependent on an adequate supply of nitrogen and water. Opportunities exist to use airborne hyperspectral (HS) remote sensing for the detection of spatial variation in N status of the crop to allow more targeted N applications. Thermal remote sensing has the potential to identify spatial variations in crop water status to allow better irrigation management and eventually precision irrigation. The overall objective of this study was to examine the ability of HS imagery in the visible and near infrared spectrum (VIS-NIR) and thermal imagery to distinguish between water and N status in potato fields. To lay the basis for achieving the research objectives, experiments in the US and in Israel were conducted in potato with different irrigation and N-application amounts. Thermal indices based merely on thermal images were found sensitive to water status in both Israel and the US in three potato varieties. Spectral indices based on HS images were found suitable to detect N stress accurately and reliably while partial least squares (PLS) analysis of spectral data was more sensitive to N levels. Initial fusion of HS and thermal images showed the potential of detecting both N stress and water stress and even to differentiate between them. This study is one of the first attempts at fusing HS and thermal imagery to detect N and water stress and to estimate N and water levels. Future research is needed to refine these techniques for use in precision agriculture applications.
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