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Artículos de revistas sobre el tema "Flooding"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 31 de agosto de 2024

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1

Amadeo, Diana. "Flooding". AJN, American Journal of Nursing 106, n.º 8 (agosto de 2006): 39. http://dx.doi.org/10.1097/00000446-200608000-00019.

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2

Ahn, Jeonghwan, Kunwoo Kim y Woncheol Cho. "Flooding Risk Assessment Using Flooding Characteristic Values". Journal of The Korean Society of Civil Engineers 33, n.º 3 (31 de mayo de 2013): 957–64. http://dx.doi.org/10.12652/ksce.2013.33.3.957.

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3

Jafari Shahdani, Fereshteh, José C. Matos y Paulo Ribeiro. "A Systematic Literature Review of the Hybrid Methodologies in Assessing Flood Indirect Impacts on Transportation". Applied Sciences 13, n.º 9 (30 de abril de 2023): 5595. http://dx.doi.org/10.3390/app13095595.

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As there is a staggering increase in flooding worldwide, many countries have prioritized sustainability of their transportation sector through flood impact prediction to support the transition during flooding. As such, research regarding the flood impacts on transportation has dramatically increased in recent years. Hybrid methods play an important role in simulating the flood situation and its impacts on traffic networks. This article offers a systematic literature review of existing research which employ hybrid methods to assess the indirect impacts of flooding on transportation. In this study, 45 articles are reviewed systematically to answer 8 research questions regarding modeling the indirect impacts of flooding on transportation. The hybrid techniques observed in the existing literature are discussed and along with the main barriers to precise prediction of flooding’s indirect impacts on transportation, future research directions are also suggested.

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4

Olabode, Oluwasanmi, Oluwatimilehin Akinsanya, Olakunle Daramola, Akinleye Sowunmi, Charles Osakwe, Sarah Benjamin y Ifeanyi Samuel. "Effect of Salt Concentration on Oil Recovery during Polymer Flooding: Simulation Studies on Xanthan Gum and Gum Arabic". Polymers 15, n.º 19 (7 de octubre de 2023): 4013. http://dx.doi.org/10.3390/polym15194013.

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Oil recoveries from medium and heavy oil reservoirs under natural recovery production are small because of the high viscosity of the oil. Normal water flooding procedures are usually ineffective, as the injected water bypasses much of the oil because of its high mobility. Thermal flooding processes are desirable but have many disadvantages from costs, effects on the environment, and loss of lighter hydrocarbons. Chemical flooding options, such as bio-polymer flooding options, are attractive, as they are environmentally friendly and relatively cheap to deploy and help to increase the viscosity of the injecting fluid, thereby reducing its mobility and increasing its oil recovery. The downside to polymer flooding includes reservoir temperature, salinity, molecular weight, and composition. Six weight percentages of two polymers (xanthan gum, XG, and gum arabic, GA) are dissolved in water, and their viscosity is measured in the laboratory. These viscosities are incorporated with correlations in the Eclipse software to create models with different polymer concentrations of (0.1% wt., 0.2% wt., 0.3% wt., 0.4% wt., 0.5% wt., and 1% wt.). A base case of natural recovery and water injection was simulated to produce an oil recovery of 5.9% and 30.8%, respectively, while at 0.1% wt. and 1% wt., respectively, oil recoveries of 38.8% and 45.7% (for GA) and 48.1% and 49.8% (for XG) are estimated. At 5% and 10% saline conditions, a drop in oil recovery of (4.6% and 5.3%) is estimated during GA flooding and (1.2% and 1.7%) for XG flooding at 1% wt., respectively. XG exhibits higher oil recoveries compared to GA at the same % wt., while oil recoveries during GA floodings are more negatively affected by higher saline concentrations.

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5

Schulz, Karen Bradshaw. "Information Flooding". Indiana Law Review 48, n.º 3 (1 de junio de 2015): 755. http://dx.doi.org/10.18060/4806.0011.

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6

Wake, Bronwyn. "Flooding costs". Nature Climate Change 3, n.º 9 (28 de agosto de 2013): 778. http://dx.doi.org/10.1038/nclimate1997.

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7

Brown, Alastair. "Amazon flooding". Nature Climate Change 6, n.º 3 (24 de febrero de 2016): 232. http://dx.doi.org/10.1038/nclimate2949.

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8

Cons, Jason. "Global Flooding". Anthropology Now 9, n.º 3 (2 de septiembre de 2017): 47–52. http://dx.doi.org/10.1080/19428200.2017.1390365.

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9

CAMPBELL, KENNETH E. "Amazon flooding". Nature 342, n.º 6248 (noviembre de 1989): 350. http://dx.doi.org/10.1038/342350b0.

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10

Giunchiglia, Fausto, Uladzimir Kharkevich y Alethia Hume. "Semantic flooding". World Wide Web 14, n.º 5-6 (20 de enero de 2011): 651–69. http://dx.doi.org/10.1007/s11280-010-0108-y.

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11

Kochel, R. Craig. "Catastrophic flooding". Geomorphology 3, n.º 1 (enero de 1990): 93–94. http://dx.doi.org/10.1016/0169-555x(90)90036-p.

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12

Udoh, Tinuola H. "Experimental Investigation of Temperature Effects on Low Salinity Enzyme Enhanced Oil Recovery Process". Nigerian Journal of Technological Development 17, n.º 3 (29 de octubre de 2020): 156–64. http://dx.doi.org/10.4314/njtd.v17i3.2.

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In this paper, the effect of temperature on low salinity brine and combined low salinity enzyme oil recovery processes in sandstone rock sample was experimentally investigated. The core flooding displacement tests were conducted with the injection of the enzyme in post-tertiary mode after secondary high salinity brine and tertiary low salinity brine injection processes. Effluents analyses of each of the flooding were carried out and used to evaluate the effect of temperature on rock-fluid interactions and enhanced oil recovery processes. The results showed that tertiary low salinity brine injection and post-tertiary enzyme injection increased recovery by 2.4-8.72% over the secondary high salinity brine flooding at 25 oC. Also, increase in oil recovery (0.57-13.18%) was observed with increase in the system temperature from 25 oC to 70 oC. Furthermore, the effluent of the 70 oC flooding was associated with the earliest low salinity brine ionic breakthrough front at 10 injected pore volume, while the 25 oC flooding breakthrough front occurred at 22 pore volume. However, no obvious effect of temperature on pH of the effluents was observed with all the floodings, but temperature effects were observed with the conductivity and ionic concentrations of all the effluents as evident by varied breakthrough times. Hence, the observed increased recovery in this study is attributable to combined effects of electric double-layer expansion, oil viscosity reduction and interfacial tension reduction. This novel study of the combined low salinity enzyme injection process is significant for the design of enzyme enhanced oil recovery processes. Keywords: Enhanced oil recovery, enzyme, sandstone, low salinity, core flooding, temperature.

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13

Nurxat, N., I. Gussenov, G. Tatykhanova, T. Akhmedzhanov y S. Kudaibergenov. "Alkaline/Surfactant/Polymer (ASP) Flooding". International Journal of Biology and Chemistry 8, n.º 1 (2015): 30–42. http://dx.doi.org/10.26577/2218-7979-2015-8-1-30-42.

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14

Yu, Mei y Qiong Gao. "Assessment of Surface Inundation Monitoring and Drivers after Major Storms in a Tropical Island". Remote Sensing 16, n.º 3 (28 de enero de 2024): 503. http://dx.doi.org/10.3390/rs16030503.

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Extreme climate events such as storms and severe droughts are becoming more frequent under the warming climate. In the tropics, excess rainfall carried by hurricanes causes massive flooding and threatens ecosystems and human society. We assessed recent major floodings on the tropical island of Puerto Rico after Hurricane Maria in 2017 and Hurricane Fiona in 2022, both of which cost billions of dollars damages to the island. We analyzed the Sentinel-1 synthetic aperture radar (SAR) images right after the hurricanes and detected surface inundation extent by applying a random forest classifier. We further explored hurricane rainfall patterns, flow accumulation, and other possible drivers of surface inundation at watershed scale and discussed the limitations. An independent validation dataset on flooding derived from high-resolution aerial images indicated a high classification accuracy with a Kappa statistic of 0.83. The total detected surface inundation amounted to 10,307 ha after Hurricane Maria and 7949 ha after Hurricane Fiona for areas with SAR images available. The inundation patterns are differentiated by the hurricane paths and associated rainfall patterns. We found that flow accumulation estimated from the interpolated Fiona rainfall highly correlated with the ground-observed stream discharges, with a Pearson’s correlation coefficient of 0.98. The detected inundation extent was found to depend strongly on hurricane rainfall and topography in lowlands within watersheds. Normal climate, which connects to mean soil moisture, also contributed to the differentiated flooding extent among watersheds. The higher the accumulated Fiona rain and the lower the mean elevation in the flat lowlands, the larger the detected surface flooding extent at the watershed scale. Additionally, the drier the climate, which might indicate drier soils, the smaller the surface flooding areas. The approach used in this study is limited by the penetration capability of C-band SAR; further application of L-band images would expand the detection to flooding under dense vegetation. Detecting flooding by applying machine learning techniques to SAR satellite images provides an effective, efficient, and reliable approach to flood assessment in coastal regions on a large scale, hence helping to guide emergency responses and policy making and to mitigate flooding disasters.

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15

Surkalo, Harry. "Enhanced Alkaline Flooding". Journal of Petroleum Technology 42, n.º 01 (1 de enero de 1990): 6–7. http://dx.doi.org/10.2118/19896-pa.

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16

Martin, David F. y J. J. Taber. "Carbon Dioxide Flooding". Journal of Petroleum Technology 44, n.º 04 (1 de abril de 1992): 396–400. http://dx.doi.org/10.2118/23564-pa.

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17

Flick, Reinhard E., D. Bart Chadwick, John Briscoe y Kristine C. Harper. "“Flooding” versus “inundation”". Eos, Transactions American Geophysical Union 93, n.º 38 (18 de septiembre de 2012): 365–66. http://dx.doi.org/10.1029/2012eo380009.

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18

Biello, David. "Warning: Flooding Ahead". Scientific American 304, n.º 5 (mayo de 2011): 16. http://dx.doi.org/10.1038/scientificamerican0511-16.

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19

Gaines, James M. "Flooding: Water potential". Nature 531, n.º 7594 (marzo de 2016): S54—S55. http://dx.doi.org/10.1038/531s54a.

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20

Brown, Alastair. "US coastal flooding". Nature Climate Change 2, n.º 5 (26 de abril de 2012): 313. http://dx.doi.org/10.1038/nclimate1523.

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21

Horn, Diane y Michael McShane. "Flooding the market". Nature Climate Change 3, n.º 11 (29 de octubre de 2013): 945–47. http://dx.doi.org/10.1038/nclimate2025.

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22

Gabrielatos, Costas y Paul Baker. "Fleeing, Sneaking, Flooding". Journal of English Linguistics 36, n.º 1 (15 de enero de 2008): 5–38. http://dx.doi.org/10.1177/0075424207311247.

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23

Blaszczak-Boxe, Agata. "Flooding the Senses". Scientific American 319, n.º 5 (16 de octubre de 2018): 14–15. http://dx.doi.org/10.1038/scientificamerican1118-14a.

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24

Needham, Riley B. y Peter H. Doe. "Polymer Flooding Review". Journal of Petroleum Technology 39, n.º 12 (1 de diciembre de 1987): 1503–7. http://dx.doi.org/10.2118/17140-pa.

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25

Beegle, C. "Flooding the Market". Bulletin of the Entomological Society of America 33, n.º 2 (1 de junio de 1987): 62–63. http://dx.doi.org/10.1093/besa/33.2.62.

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26

Hanson, B. "GEOSCIENCE: Recurrent Flooding". Science 299, n.º 5613 (14 de marzo de 2003): 1627a—1627. http://dx.doi.org/10.1126/science.299.5613.1627a.

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27

Coskuner, Gökhan. "Hybrid foam flooding". Journal of Petroleum Science and Engineering 10, n.º 2 (diciembre de 1993): 109–15. http://dx.doi.org/10.1016/0920-4105(93)90035-d.

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28

Best, Leonora y Marina Kitchen. "Tuscany summer flooding". Weather 70 (septiembre de 2015): S13—S14. http://dx.doi.org/10.1002/wea.2510.

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29

Sen, Saptarshi y Parvathi Ravikumar. "Flooding in Chennai". Weather 71, n.º 3 (marzo de 2016): 77. http://dx.doi.org/10.1002/wea.2709.

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30

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 2 (abril de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.09926.x.

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31

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 57, n.º 12 (febrero de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.09856.x.

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32

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 9 (noviembre de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10243.x.

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33

"FLOODING". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 8 (octubre de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10197.x.

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34

"FLOODING". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 8 (octubre de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10197.x.

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35

"FLOODING". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 7 (septiembre de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10151.x.

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36

"FLOODING". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 10 (diciembre de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10287.x.

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37

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 1 (marzo de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.09892.x.

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38

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 5 (julio de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10060.x.

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39

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 12 (febrero de 2022). http://dx.doi.org/10.1111/j.1467-6346.2022.10378.x.

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40

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 58, n.º 4 (junio de 2021). http://dx.doi.org/10.1111/j.1467-6346.2021.10013.x.

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41

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 50, n.º 1 (marzo de 2013): 19836A—19836C. http://dx.doi.org/10.1111/j.1467-6346.2013.04966.x.

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42

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 50, n.º 8 (octubre de 2013): 20087A—20087B. http://dx.doi.org/10.1111/j.1467-6346.2013.05337.x.

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43

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 50, n.º 9 (noviembre de 2013): 20122B—20122C. http://dx.doi.org/10.1111/j.1467-6346.2013.05389.x.

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44

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 50, n.º 11 (20 de diciembre de 2013): 20196C. http://dx.doi.org/10.1111/j.1467-6346.2013.05501.x.

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45

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 56, n.º 4 (junio de 2019): 22536A. http://dx.doi.org/10.1111/j.1467-6346.2019.08888.x.

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46

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 56, n.º 5 (julio de 2019). http://dx.doi.org/10.1111/j.1467-6346.2019.08936.x.

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47

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 56, n.º 7 (septiembre de 2019). http://dx.doi.org/10.1111/j.1467-6346.2019.09041.x.

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48

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 56, n.º 11 (enero de 2020). http://dx.doi.org/10.1111/j.1467-6346.2019.09243.x.

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49

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 56, n.º 12 (febrero de 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09289.x.

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50

"Flooding". Africa Research Bulletin: Economic, Financial and Technical Series 57, n.º 1 (marzo de 2020). http://dx.doi.org/10.1111/j.1467-6346.2020.09338.x.

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