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Understanding the Influence of the A...
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Knighton, James O'Neil.
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Understanding the Influence of the Atmosphere and Land Surface Conditions on Flood Risk using Probabilistic Hydrology in the Context of Mechanistic Hydrologic Models.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Understanding the Influence of the Atmosphere and Land Surface Conditions on Flood Risk using Probabilistic Hydrology in the Context of Mechanistic Hydrologic Models./
作者:
Knighton, James O'Neil.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
168 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Hydrologic sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13878891
ISBN:
9781392248577
Understanding the Influence of the Atmosphere and Land Surface Conditions on Flood Risk using Probabilistic Hydrology in the Context of Mechanistic Hydrologic Models.
Knighton, James O'Neil.
Understanding the Influence of the Atmosphere and Land Surface Conditions on Flood Risk using Probabilistic Hydrology in the Context of Mechanistic Hydrologic Models.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 168 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (Ph.D.)--Cornell University, 2019.
This item must not be added to any third party search indexes.
The emergence of large-scale hydrologic datasets, data analytic techniques, and mechanistic hydrologic models has supported the advancement of flood risk analysis. Traditionally, the study of hydrologic extremes has centered on observations made within the stream channel. Recent research has highlighted the importance of understanding the aspects of the atmosphere, land surface, and river network that impart their unique fingerprint on floods. In this dissertation I first review the critical aspects of sub-daily precipitation in the context of a stochastic weather generator. Next, we consider the direction of influence of the land surface on hydrologic extremes in conjunction with changes to climatic forcing. Finally, we propose a framework for flood risk analysis from the perspective of flood inducing meteorological events.
ISBN: 9781392248577Subjects--Topical Terms:
3168407
Hydrologic sciences.
Understanding the Influence of the Atmosphere and Land Surface Conditions on Flood Risk using Probabilistic Hydrology in the Context of Mechanistic Hydrologic Models.
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The emergence of large-scale hydrologic datasets, data analytic techniques, and mechanistic hydrologic models has supported the advancement of flood risk analysis. Traditionally, the study of hydrologic extremes has centered on observations made within the stream channel. Recent research has highlighted the importance of understanding the aspects of the atmosphere, land surface, and river network that impart their unique fingerprint on floods. In this dissertation I first review the critical aspects of sub-daily precipitation in the context of a stochastic weather generator. Next, we consider the direction of influence of the land surface on hydrologic extremes in conjunction with changes to climatic forcing. Finally, we propose a framework for flood risk analysis from the perspective of flood inducing meteorological events.
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