Relevant bibliographies by topics / Peak periods

Contents

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

Academic literature on the topic 'Peak periods'

Author: Grafiati
Published: 10 September 2021
Last updated: 13 February 2022

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Journal articles on the topic "Peak periods"

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Nariu, Tatsuhiko, Yuki Nitta, Makoto Okamura, and Haiyan Wang. "Low Prices in Peak Demand Periods." Journal of Marketing & Distribution 15, no. 1 (2013): 39–47. http://dx.doi.org/10.5844/jsmd.15.1_39.

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Alhassan, Hashim Mohammed, and Johnnie Ben-Edigbe. "Effect of Rainfall on Traffic Stream Characteristics during Peak and Non-Peak Periods." International Journal on Advanced Science, Engineering and Information Technology 2, no. 2 (2012): 162. http://dx.doi.org/10.18517/ijaseit.2.2.177.

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DACEY, JOHN S. "Peak Periods of Creative Growth Across the Lifespan." Journal of Creative Behavior 23, no. 4 (1989): 224–47. http://dx.doi.org/10.1002/j.2162-6057.1989.tb00697.x.

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Hikita, Shiro. "New elevator group-control method for up-peak periods." International Journal of Systems Science 34, no. 5 (2003): 309–17. http://dx.doi.org/10.1080/00207720310001601000.

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Tavor, Tchai, Limor Dina Gonen, and Uriel Spiegel. "Optimal Pricing and Capacity Under Well-Defined and Well-Known Deterministic Demand Fluctuations." Review of European Studies 11, no. 2 (2019): 15. http://dx.doi.org/10.5539/res.v11n2p15.

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Fluctuations in demand require diverse considerations with respect to planned capacity. At peak periods, decreased capacity may result in supply shortages and   thus in lower revenues and unachievable profits.  In contrast, smaller capacity at off-peak periods reduces the substantial costs of large and unutilized capacity.  
 
 The questions to be addressed ask (i) what the optimal pricing policies are at peak and off-peak periods; (ii) what the optimal capacity is for profit maximization of the supplier; and furthermore (iii) how the shif
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Dewar, Hamish, and Jenny Clarke. "Peak Running Intensities in Field Hockey - a Positional Analysis." Journal of Human Kinetics 79, no. 1 (2021): 135–44. http://dx.doi.org/10.2478/hukin-2021-0067.

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Abstract The aim of this study was to investigate the positional mean peak running periods during a field hockey match using a moving average method. The secondary aim was to investigate how the peak periods changed between quarters and playing positions. The moving average method was used to analyse the data because of the nature of field hockey, which has natural fluctuations of high and low intensity periods of play. The time periods included periods from 1 to 10 minutes. The level of significance for results was set at p ≤ 0.05. The study found that forwards had a peak running intensity of
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Dehman, Amjad, Tom Brijs, and Alexander Drakopoulos. "Replication of Daily and Monthly Freeway Demand Variations for Travel Time Reliability Procedures." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 727–41. http://dx.doi.org/10.1177/0361198120931512.

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The sixth edition of the Highway Capacity Manual (HCM) incorporates a travel time reliability assessment procedure for freeways and urban streets. Several demand adjustment factors, referred to by demand multipliers, are used to capture traffic demand variation across different days and months. These factors are currently produced by referencing the average daily traffic volume of each day-month combination to a base daily volume. However, practitioners usually perform traffic analyses during specific times of the day, for example, peak periods, off-peak periods, or even peak hours, demand mul
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Mahmud, Ali, Woro Busono, Puguh Surjowardojo, and Yuli Arif Tribudi. "PRODUKSI SUSU SAPI PERAH FRIESIAN HOLSTEIN (FH) PADA PERIODE LAKTASI YANG BERBEDA (Milk Production of Friesian Holstein (FH) Cows at Different Lactation Periods)." Jurnal Ilmu dan Teknologi Peternakan 8, no. 2 (2020): 79–84. http://dx.doi.org/10.20956/jitp.v8i2.10132.

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This research was conducted in PT Greenfields Indonesia, Babadan Village, Ngajum Districts, Malang, East Java. The purpose of the study was to compare the milk production of FH (Friesian Holstein) dairy cows in various lactation periods. The material used in this research was data records of Australian FH, which have been developed in the Greenfields Indonesia farm. The data used were from 473 dairy cows, which consisted of 100 heads for each lactation period from the period I up to period IV and 73 heads for lactation period V. The variables measured were milk production 305 day 2X ME, daily
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Furlan, Nicola, Mark Waldron, Kathleen Shorter, et al. "Running-Intensity Fluctuations in Elite Rugby Sevens Performance." International Journal of Sports Physiology and Performance 10, no. 6 (2015): 802–7. http://dx.doi.org/10.1123/ijspp.2014-0315.

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Purpose: To investigate temporal variation in running intensity across and within halves and evaluate the agreement between match-analysis indices used to identify fluctuations in running intensity in rugby sevens. Methods: Data from a 15-Hz global positioning system (GPS) were collected from 12 elite rugby sevens players during the IRB World Sevens Series (N = 21 full games). Kinematic (eg, relative distance [RD]) and energetic (eg, metabolic power [MP]) match-analysis indices were determined from velocity–time curves and used to investigate between-halves variations. Mean MP and RD were used
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Jara-Díaz, Sergio, Andrés Fielbaum, and Antonio Gschwender. "Optimal fleet size, frequencies and vehicle capacities considering peak and off-peak periods in public transport." Transportation Research Part A: Policy and Practice 106 (December 2017): 65–74. http://dx.doi.org/10.1016/j.tra.2017.09.005.

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Dissertations / Theses on the topic "Peak periods"

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Tarrant, Adrian Joshua. "Rat-running through Walmer Estate, University Estate and Upper Woodstock during the PM peak period." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20407.

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Urban sprawl remains as a remnant of previous Apartheid legacy policies and has a daily impact on the majority of South African commuters: large, densely populated residential areas (i.e. informal settlements) are generally located on the periphery of towns or cities, far away from areas of employment. As a result, a large number of commuters have to travel great distances to-and from work on a daily basis, and those making use of private vehicles have to accept very high levels of congestion for a large part of their journey. Certain motorists, therefore, carefully select routes, in an attemp
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Reh, Rebecca Kiefer. "A Rapid Peak in Gamma Power Signals Critical Period Plasticity in the Developing Mouse Visual Cortex." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845449.

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Experience sculpts neural circuits during discrete windows of postnatal development termed critical periods. This process allows the brain to adapt to its environment and efficiently allocate resources. However, maladaptive experience can also be consolidated early in life, reducing the effectiveness of interventions in adulthood. Critical periods across the cortex open and close at different times during postnatal development; the timing of these windows is set by the balance of excitation and inhibition. Cortical rhythms, particularly in the gamma power band (30-80 Hz), are sensitive to shif
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Hermant, Laurent Fernand Leon. "Morning peak period travel characteristics of a residential suburb in Cape Town during a school and holiday period : what lessons can we learn?" Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/20443.

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Thesis (MScEng)--University of Stellenbosch, 2008.<br>ENGLISH ABSTRACT: It is argued that an understanding of variability is central to the modelling of travel behaviour and the assessment of policy impacts and is not the peripheral issue that it has often been considered. There is a growing need to assess multi-day data to assess the distribution of user charges for road pricing, or patterns of public transport usage as well as improve the ability to identify mechanisms behind travel behaviour for modelling purposes. Drawing on studies worldwide, in conjunction with a review of the liter
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Acharya, Subrata. "A dynamic slack management technique for real-time distributed embedded systems." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/3173.

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This work presents a novel slack management technique, the Service Rate Based Slack Distribution Technique, for dynamic real-time distributed embedded systems targeting the reduction and management of energy consumption. Energy minimization is critical for devices such as laptop computers, PCS telephones, PDAs and other mobile and embedded computing systems simply because it leads to extended battery lifetime. Such systems being power hungry rely greatly upon the system design and algorithms for processing, slack and power management. This work presents an effcient dynamic slack management sch
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Blazquez, Ivan. "An Optimal Interset Rest Period For Strength Recovery During A Common Isokinetic Test." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/833.

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Introduction: Isokinetic testing is used in rehabilitation settings on a regular basis, yet there is a lack of consistency in rest period usage among protocols. Purpose: The purpose of this study was to establish an optimal rest period that would allow reproducibility of strength during a common isokinetic strength-test. Methods: Twentyseven healthy college-aged males underwent isokinetic strength testing to determine peak torque at 60, 180 and 300 deg/sec, respectively. Work:rest ratios of 1:3, 1:8 and 1:12 were counterbalanced between sets. A 3 X 3 repeated measures ANOVA was used to analyze
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Crain, Shae, Thomas Jones, and Darrell 2346742 Moore. "Average Free-Running Period in Spider (Frontinella communis) Peaks and Desynchronizes Throughout its Active Season." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/5.

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An organism’s circadian clock exists as a self-regulating oscillator that can synchronize with its surroundings. This manifests as physiological and behavioral output which can anticipate changes in environment. These rhythms may even persist internally and are known to oscillate at a period (tau) of around 24 hours even in the absence of external cues. In the laboratory, such rhythmic output is known as a free-running period (FRP). Given that circadian rhythms are distributed in a number of taxa as well as their tendency to oscillate along with the solar day, it has been suggested that they r
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Simandiraki, Anna. "Middle Minoan III Pottery from Building B of the Peak Sancturay of Mount Juktas, Crete, and a general re-assessment of the Middle Minoan III Period." Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247669.

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Kapucu, Kerem. "Performance Improvement Of Vlsi Circuits With Clock Scheduling." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611355/index.pdf.

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Clock scheduling is studied to improve the performance of synchronous sequential circuits. The performance improvement covers the optimization of the clock frequency and the peak power consumption, separately. For clock period minimization, cycle stealing method is utilized, in which the redundant cycle time of fast combinational logic is transferred to slower logic by proper clock skew adjustment of registers. The clock scheduling system determines the minimum clock period that a synchronous sequential circuit can operate without hazards. The timing of each register is adjusted for operation
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Challa, Srikalyan. "A structural equation analysis of Florida journey to work characteristics using aggregate Census 2000 data." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000335.

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Van, der Bijl Johannes. "Sustainable DSM on deep mine refrigeration systems : a novel approach / J. van der Bijl." Thesis, North-West University, 2007. http://hdl.handle.net/10394/1940.

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Books on the topic "Peak periods"

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Chevalier, Judith A. Why don't prices rise during periods of peak demand?: Evidence from scanner data. National Bureau of Economic Research, 2000.

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Kennon, Patrick, Robert Hazel, Eric Ford, and Belinda Hargrove. Preparing Peak Period and Operational Profilesâ€"Guidebook. Transportation Research Board, 2013. http://dx.doi.org/10.17226/22646.

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Kennon, Patrick, Robert Hazel, Eric Ford, and Belinda Hargrove. Guidelines for Preparing Peak Period and Operational Profiles. Transportation Research Board, 2013. http://dx.doi.org/10.17226/22647.

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National Research Council (U.S.). Committee for Study on Urban Transportation Congestion Pricing. Curbing gridlock: Peak-period fees to relieve traffic congestion. National Academy Press, 1994.

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National Research Council (U.S.). Transportation Research Board. Committee for Study on Urban Transportation Congestion Pricing. Curbing gridlock: Peak-period fees to relieve traffic congestion. National Academy Press, 1994.

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On Mount Hood: A biography of Oregon's perilous peak. Sasquatch Books, 2010.

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Barnatt, John. The henges, stone circles, and ringcairns of the Peak District. Dept. of Archaeology and Prehistory, University of Sheffield, 1990.

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Montana. Department of Fish, Wildlife, and Parks. Region 6. Fort Peck Reservoir fisheries management plan for the period January 1992 to January 1997. [The Region?], 1992.

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34, Stride. Peak Listening Period. Stride Publications, 1997.

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Armstrong, Neil, Joanne R. Welsman, and Craig A. Williams. Maximal intensity exercise. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199232482.003.0005.

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Chapter 5 discusses maximal intensity exercise, which is often associated with maximal or peak oxygen uptake ( V O 2 · ). However, this convention ignores the fact that, for short periods of time, anaerobic provision of adenosine triphosphate (ATP) can support exercise of much greater intensity than that at peak V O 2 · Th erefore, for the purpose of this chapter, maximal intensity exercise is defi ned as that which is performed ‘all-out’ and is sustained by an anaerobic ATP yield which exceeds that of oxidative metabolism.
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Book chapters on the topic "Peak periods"

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Mahesh, Srinath, and Gitakrishnan Ramadurai. "Real-World Emissions from Diesel Passenger Cars During Peak and Off-Peak Periods." In Transportation Research. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9042-6_7.

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Burt, Ronald S. "Life Course and Network Advantage: Peak Periods, Turning Points, and Transition Ages." In Frontiers in Sociology and Social Research. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71544-5_4.

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Park, Hyunhee. "The Peak of China’s Long-Distance Maritime Connections with Western Asia During the Mongol Period: Comparison with the Pre-Mongol and Post-Mongol Periods." In Early Global Interconnectivity across the Indian Ocean World, Volume I. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97667-9_3.

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Ladwig, Theresa. "A Techno-Economic Comparison of Demand Side Management with Other Flexibility Options." In The Future European Energy System. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_9.

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AbstractThis chapter assesses the techno-economic characteristics of demand side management (DSM) in comparison with other flexibility options (e.g., energy storages) in order to estimate its flexibility and benefit for the system integration of renewable energy sources (RES). The results show that load shedding and load shifting are less flexible than other flexibility options and can therefore only balance short-term fluctuations. In contrast, load increase is more flexible and can integrate excess feed-in from RES also over longer periods. Analysis about the impact of DSM on other flexibility options show, that DSM lowers utilization and contribution margin of peak load plants and energy storages, while it increases both for baseload power plants. More electricity is consumed nationally due to DSM as it decreases imports and exports.
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Ranko, Annette. "Period 4 (2000-2011): The War of Position at its Peak." In The Muslim Brotherhood and its Quest for Hegemony in Egypt. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08499-8_6.

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Bishop, Steven M., and Ari Ercole. "Multi-Scale Peak and Trough Detection Optimised for Periodic and Quasi-Periodic Neuroscience Data." In Acta Neurochirurgica Supplement. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65798-1_39.

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Geigant, Edith. "On Peak and Periodic Solutions of an Integro-Differential Equation on S 1." In Geometric Analysis and Nonlinear Partial Differential Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55627-2_23.

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Ghali, M. O., and M. J. Smith. "Approximation to Optimal Dynamic Traffic Assignment of Peak Period Traffic to a Congested City Network." In Urban Traffic Networks. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79641-8_10.

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Jacob, Maria, Cláudia Neves, and Danica Vukadinović Greetham. "Extreme Value Statistics." In Forecasting and Assessing Risk of Individual Electricity Peaks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28669-9_4.

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Abstract When studying peaks in electricity demand, we may be interested in understanding the risk of a certain large level for demand being exceeded. For example, there is potential interest in finding the probability that the electricity demand of a business or household exceeds the contractual limit. An alternative, yet in principle equivalent way, involves assessment of maximal needs for electricity over a certain period of time, like a day, a week or a season within a year. This would stem from the potential interested in quantifying the largest electricity consumption for a substation, household or business.
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Yuasa, Yoshiharu, Mitsuhiro Ikuta, Tatsumi Kimura, Hiroo Matsuda, and Takayoshi Kobayashi. "Real-time tracking of the peaks in transition difference spectra during vibrational periods in PDA." In Springer Series in Chemical Physics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27213-5_114.

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Conference papers on the topic "Peak periods"

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Yuan, Octavia D. P., A. N. Afandi, and Hari Putranto. "Demand Forecasting Considering Actual Peak Load Periods Using Artificial Neural Network." In 2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2018. http://dx.doi.org/10.1109/eecsi.2018.8752740.

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Huang, Wei, Lvbin Peng, Yue Sun, et al. "Peak and Valley Periods Partitioning Based on Improved K-medoids Algorithm." In 2020 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2020. http://dx.doi.org/10.1109/ispec50848.2020.9351236.

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Dai, Jiong, and Lingjuan Chen. "Path Choice Behavior in Peak Travel Periods Based on the Prospect Theory." In 2014 International Conference of Logistics Engineering and Management. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413753.203.

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Jian-Zhou Wang, Liang Wu, and Hai-Yan Lu. "Special periods peak load analysis and superior forecasting method based on LS-SVM." In 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4420673.

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Drago, Michele, Giancarlo Giovanetti, and Claudia Pizzigalli. "Assessment of Significant Wave Height – Peak Period Distribution Considering the Wave Steepness Limit." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10227.

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The physical limit of the significant wave steepness is generally exceeded when assessing the seastate climate and the extreme iso-probability contours, i.e. too short significant wave peak periods Tp are sometimes associated to a certain significant wave height Hs. The occurrence of not physically consistent Tp is clearly due to a fault in the generally made assumption of a log-normal distribution of the Tp, where the physical limit for the period would be Tp &gt; 0, i.e. the existence limit of the log-normal distribution, which is well below the real physical limit for significant wave steep
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Olaifa, Moses, Ronell Van Der Merwe, and Temitope Mapayi. "Agent Based Resource Discovery for Peak Request Periods in Peer-to-Peer Grid Infrastructures." In 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE). IEEE, 2014. http://dx.doi.org/10.1109/cse.2014.199.

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Halford, C. K., and R. F. Boehm. "Modeling of Phase Change Material Peak Load Shifting." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76035.

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Peak demand for electricity in many parts of the country, and particularly the desert southwest, is of critical concern to utilities. Any reasonable solutions that can be used for shifting some of the peak demand to off-peak should be seriously considered. For locations with high air conditioning demand, one possibility is to use a phase-change material in the ceiling insulation that may melt during peak demand periods and then be refrozen off peak. The purpose of our work is the development of a numerical model to evaluate the load shifting abilities of this type of approach. The simulation i
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Lutchyn, Tetiana, Bernt Lie, and Anatoliy Voloshko. "Data Compression And Recovery For Power Consumption At Specific Time Instances And In Peak Periods." In 27th Conference on Modelling and Simulation. ECMS, 2013. http://dx.doi.org/10.7148/2013-0587.

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Bernardino, M., M. Gonçalves, and C. Guedes Soares. "Assessing Climate Change in the North Atlantic Wave Regimes." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18697.

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Abstract An improved understanding of the present and future marine climatology is necessary for numerous activities, such as operation of offshore structures, optimization of ship routes and the evaluation of wave energy resources. To produce global wave information, the WW3 wave model was forced with wind and ice-cover data from an RCP8.5 EC-Earth system integration for two 30-year time slices. The first covering the periods from 1980 to 2009 represents the present climate and the second, covering the periods from 2070–2099, represents the climate in the end of the 21st century. Descriptive
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Gray, Allison, Robert Boehm, Kenneth W. Stone, Gary Wood, and Kelly Johnson. "Assisting in Matching Nevada Power Company’s Electrical Load Profiles With High Concentration PV Systems." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36002.

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This paper investigates how a point focus solar plant such as the Amonix High Concentration Photovoltaic (HCPV) solar system can assist in decreasing a utility’s peak demand load. Utilizing the HCPV generating system during Nevada Power Company’s (NPC), a southern Nevada electric utility, summer load period provides the basis for this investigation. NPC’s peak load occurs between June 1st and September 30th during the hours of 1:00P.M. to 7:00 P.M. The electric load profiles presented herein are representative data points collected over years 2004 and 2005. Part of the study investigated the i
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Reports on the topic "Peak periods"

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Chevalier, Judith, Anil Kashyap, and Peter Rossi. Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data. National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7981.

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automati
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Cram, Jana, Mary Levandowski, Kaci Fitzgibbon, and Andrew Ray. Water resources summary for the Snake River and Jackson Lake Reservoir in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway: Preliminary analysis of 2016 data. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2285179.

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This report summarizes discharge and water quality monitoring data for the Snake River and Jackson Lake reservoir levels in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway for calendar year 2016. Annual and long-term discharge summaries and an evaluation of chemical conditions relative to state and federal water quality standards are presented. These results are considered provisional, and may be subject to change. River Discharge: Hydrographs for the Snake River at Flagg Ranch, WY, and Moose, WY, exhibit a general pattern of high early summer flows and lower baseflows
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Hamill, Daniel, and Gabrielle David. Hydrologic analysis of field delineated ordinary high water marks for rivers and streams. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41681.

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Streamflow influences the distribution and organization of high water marks along rivers and streams in a landscape. The federal definition of ordinary high water mark (OHWM) is defined by physical and vegetative field indicators that are used to identify inundation extents of ordinary high water levels without any reference to the relationship between streamflow and regulatory definition. Streamflow is the amount, or volume, of water that moves through a stream per unit time. This study explores regional characteristics and relationships between field-delineated OHWMs and frequency-magnitude
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ARMY ENGINEER DISTRICT OMAHA NE. Water Quality Conditions Monitored at the Corps' Fort Peck Project in Montana during the 3-Year Period 2004 through 2006. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada635412.

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Kadlec, Amanda. Still Kicking: the Survivability of the Islamic State in Libya. RESOLVE Network, 2020. http://dx.doi.org/10.37805/pn2020.10.ssa.

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Since emerging in eastern Libya in 2014, ISIS laid claim to wilayat within Libya’s three regional provinces—Tripolitania, Barqa, and Fezzan—moving fast to establish a quasi-state in the coastal city of Sirte and amassing just a few thousand fighters at its peak strength. Yet, just as ISIS core’s territorial hold in Syria and Iraq withered, its strength in Libya also soon diminished. Sustained domestic and international counterterrorism efforts have severely depleted ISIS in Libya’s (ISIS-L) numbers, operational capacity, and opportunity for safe haven. However, while weakened, ISIS-L’s surviva
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7

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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Abstract:
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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10

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.

Full text
Abstract:
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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