東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Spatial Characterization of Inland F...

Lu, Ping.

FindBook

Google Book

Amazon

博客來

Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones./
作者:	Lu, Ping.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	188 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:	Dissertation Abstracts International79-07B(E).
標題:	Environmental engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10688040
ISBN:	9780355627091

Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones.
Lu, Ping.

Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 188 p.

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (Ph.D.)--Princeton University, 2018.

Rainfall and freshwater flooding from tropical cyclones (TCs) cause large numbers of fatalities and vast economic damage, and they have been shown to play an important role in controlling the upper tail of flood distributions. This study aims to improve our understanding of TC rainfall mechanisms and associated flood characteristics with various observations and modeling efforts. First, we study and explore effective modeling approaches to four major TC rainfall mechanisms (i.e., surface frictional convergence, vortex stretching, interaction of the storm with topography, and interaction of the storm with large-scale baroclinity) with a recently-developed physics-based TC rainfall Model (TCRM) and Weather Research and Forecasting (WRF) model for Hurricanes Isabel (2003) and Irene (2011). We analyze the sensitivity of azimuthal and spatial distribution of rainfall to wind input and modeling parameters and rainfall extremely sensitive to the gradient wind input, as well as drag coefficient. Second, we develop a framework to characterize the distribution of flood magnitudes over large river networks with a distributed hydrologic model (CUENCAS). Summary statistics for characterizing the probability distribution and spatial correlation of flood magnitudes are developed, and their linkage to distributions of rainfall are analyzed with four flood events in Delaware River Basin that reflect the principal flood-generating mechanisms in eastern U.S.: landfalling tropical cyclones (Hurricane Ivan in September 2004 and Hurricane Irene in August 2011), late winter - early spring extratropical systems (April 2005) and warm-season convective systems (June 2006). The methodologies developed in these two projects are further applied to two flood events: a remote one with limited observations, the August 1955 flood over Delaware River Basin associated Hurricane Connie and Diane; and a recent one with various sources of observations, the event of Hurricane Matthew 2016 over the southeast of U.S. Given the high computational efficiency, TC rainfall modeling (TCRM) and hydrologic model (CUENCAS) can be coupled with an analytical wind model, and a TC climatology model to generate large numbers of synthetic events to assess the spatial characteristics of the risk of freshwater flooding associated with landfalling TCs.

ISBN: 9780355627091Subjects--Topical Terms:

548583
Environmental engineering.

Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones.
LDR:03306nmm a2200301 4500 001 2202396
005 20190510112840.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780355627091
035 $a (MiAaPQ)AAI10688040
035 $a (MiAaPQ)princeton:12405
035 $a AAI10688040
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lu, Ping. $3 622478
245 1 0 $a Spatial Characterization of Inland Flooding Associated with Landfalling Tropical Cyclones.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 188 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Advisers: James Smith; Ning Lin.
502 $a Thesis (Ph.D.)--Princeton University, 2018.
520 $a Rainfall and freshwater flooding from tropical cyclones (TCs) cause large numbers of fatalities and vast economic damage, and they have been shown to play an important role in controlling the upper tail of flood distributions. This study aims to improve our understanding of TC rainfall mechanisms and associated flood characteristics with various observations and modeling efforts. First, we study and explore effective modeling approaches to four major TC rainfall mechanisms (i.e., surface frictional convergence, vortex stretching, interaction of the storm with topography, and interaction of the storm with large-scale baroclinity) with a recently-developed physics-based TC rainfall Model (TCRM) and Weather Research and Forecasting (WRF) model for Hurricanes Isabel (2003) and Irene (2011). We analyze the sensitivity of azimuthal and spatial distribution of rainfall to wind input and modeling parameters and rainfall extremely sensitive to the gradient wind input, as well as drag coefficient. Second, we develop a framework to characterize the distribution of flood magnitudes over large river networks with a distributed hydrologic model (CUENCAS). Summary statistics for characterizing the probability distribution and spatial correlation of flood magnitudes are developed, and their linkage to distributions of rainfall are analyzed with four flood events in Delaware River Basin that reflect the principal flood-generating mechanisms in eastern U.S.: landfalling tropical cyclones (Hurricane Ivan in September 2004 and Hurricane Irene in August 2011), late winter - early spring extratropical systems (April 2005) and warm-season convective systems (June 2006). The methodologies developed in these two projects are further applied to two flood events: a remote one with limited observations, the August 1955 flood over Delaware River Basin associated Hurricane Connie and Diane; and a recent one with various sources of observations, the event of Hurricane Matthew 2016 over the southeast of U.S. Given the high computational efficiency, TC rainfall modeling (TCRM) and hydrologic model (CUENCAS) can be coupled with an analytical wind model, and a TC climatology model to generate large numbers of synthetic events to assess the spatial characteristics of the risk of freshwater flooding associated with landfalling TCs.
590 $a School code: 0181.
650 4 $a Environmental engineering. $3 548583
650 4 $a Water resources management. $3 794747
690 $a 0775
690 $a 0595
710 2 $a Princeton University. $b Civil and Environmental Engineering. $3 2095365
773 0 $t Dissertation Abstracts International $g 79-07B(E).
790 $a 0181
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10688040