Книги з теми "Urban flood modeling"

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1

Hadiwardoyo, Sigit P. Modelling issues in urban systems engineering problematics: Decision support for flood management and railway development as a competitive public transport between Indonesian cities : final report year 1, international research collaboration and scientific publication. Depok]: Universitas Indonesia, 2011.

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2

Rocky, Durrans S., Dietrich Kristen, Ahmad Muneef, and Haestad Methods Inc, eds. Stormwater conveyance modeling and design. Waterbury, CT: Haestad Press, 2003.

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3

Stormwater Conveyance Modeling and Design. Haestad Press, 2003.

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4

(Editor), Robert W. Brashear, and Cedo Maksimovic (Editor), eds. Urban Drainage Modeling: Proceedings of the Specialty Symposium Held in Conjunction With the World Water and Environmental Resources Congress, May 20-24, 2001, Orlando, florid. American Society of Civil Engineers, 2001.

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5

Modelling of Floods in Urban Areas. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-1619-6.

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6

Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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7

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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8

Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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9

Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2018.

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10

Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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11

Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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12

Abdullah, Ahmad Fikri Bin. Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2012.

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13

Abdullah, Ahmad Fikri Bin. Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2020.

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14

Abdullah, Ahmad Fikri Bin. Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2020.

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15

Abdullah, Ahmad Fikri Bin. Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2020.

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16

Abdullah, Ahmad Fikri Bin. Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2020.

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17

Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2013.

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18

Seyoum, Solomon D. Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2018.

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19

Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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Анотація:
The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can have lifetimes varying from a few days to several weeks in the most extreme cases. Their presence can strongly affect the weather of large portions of the mid-latitudes, leading to the establishment of anomalous meteorological conditions. These can take the form of strong precipitation episodes or persistent anticyclonic regimes, leading in turn to floods, extreme cold spells, heat waves, or short-lived droughts. Even air quality can be strongly influenced by the establishment of atmospheric blocking, with episodes of high concentrations of low-level ozone in summer and of particulate matter and other air pollutants in winter, particularly in highly populated urban areas.Atmospheric blocking has the tendency to occur more often in winter and in certain longitudinal quadrants, notably the Euro-Atlantic and the Pacific sectors of the Northern Hemisphere. In the Southern Hemisphere, blocking episodes are generally less frequent, and the longitudinal localization is less pronounced than in the Northern Hemisphere.Blocking has aroused the interest of atmospheric scientists since the middle of the last century, with the pioneering observational works of Berggren, Bolin, Rossby, and Rex, and has become the subject of innumerable observational and theoretical studies. The purpose of such studies was originally to find a commonly accepted structural and phenomenological definition of atmospheric blocking. The investigations went on to study blocking climatology in terms of the geographical distribution of its frequency of occurrence and the associated seasonal and inter-annual variability. Well into the second half of the 20th century, a large number of theoretical dynamic works on blocking formation and maintenance started appearing in the literature. Such theoretical studies explored a wide range of possible dynamic mechanisms, including large-amplitude planetary-scale wave dynamics, including Rossby wave breaking, multiple equilibria circulation regimes, large-scale forcing of anticyclones by synoptic-scale eddies, finite-amplitude non-linear instability theory, and influence of sea surface temperature anomalies, to name but a few. However, to date no unique theoretical model of atmospheric blocking has been formulated that can account for all of its observational characteristics.When numerical, global short- and medium-range weather predictions started being produced operationally, and with the establishment, in the late 1970s and early 1980s, of the European Centre for Medium-Range Weather Forecasts, it quickly became of relevance to assess the capability of numerical models to predict blocking with the correct space-time characteristics (e.g., location, time of onset, life span, and decay). Early studies showed that models had difficulties in correctly representing blocking as well as in connection with their large systematic (mean) errors.Despite enormous improvements in the ability of numerical models to represent atmospheric dynamics, blocking remains a challenge for global weather prediction and climate simulation models. Such modeling deficiencies have negative consequences not only for our ability to represent the observed climate but also for the possibility of producing high-quality seasonal-to-decadal predictions. For such predictions, representing the correct space-time statistics of blocking occurrence is, especially for certain geographical areas, extremely important.
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