日本語
 
Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

  Event and Catchment Controls of Heavy Tail Behavior of Floods

Macdonald, E., Merz, B., Guse, B., Wietzke, L., Ullrich, S., Kemter, M., Ahrens, B., & Vorogushyn, S. (2022). Event and Catchment Controls of Heavy Tail Behavior of Floods. Water Resources Research, 58(6):. doi:10.1029/2021WR031260.

Item is

基本情報

表示: 非表示:
資料種別: 学術論文

ファイル

表示: ファイル
非表示: ファイル
:
Water Resources Research -Kemter_ 2022 - Macdonald - Event and Catchment Controls of Heavy Tail Behavior of Floods.pdf (出版社版), 4MB
ファイル名:
Water Resources Research -Kemter_ 2022 - Macdonald - Event and Catchment Controls of Heavy Tail Behavior of Floods.pdf
説明:
-
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
-
著作権情報:
-

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Macdonald, Elena1, 著者
Merz, Bruno1, 著者
Guse, Björn1, 著者
Wietzke, Luzie1, 著者
Ullrich, Sophie1, 著者
Kemter, Matthias2, 著者              
Ahrens, Bodo1, 著者
Vorogushyn, Sergiy1, 著者
所属:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

内容説明

表示:
非表示:
キーワード: -
 要旨: In some catchments, the distribution of annual maximum streamflow shows heavy tail behavior, meaning the occurrence probability of extreme events is higher than if the upper tail decayed exponentially. Neglecting heavy tail behavior can lead to an underestimation of the likelihood of extreme floods and the associated risk. Partly contradictory results regarding the controls of heavy tail behavior exist in the literature and the knowledge is still very dispersed and limited. To better understand the drivers, we analyze the upper tail behavior and its controls for 480 catchments in Germany and Austria over a period of more than 50 years. The catchments span from quickly reacting mountain catchments to large lowland catchments, allowing for general conclusions. We compile a wide range of event and catchment characteristics and investigate their association with an indicator of the tail heaviness of flood distributions, namely the shape parameter of the GEV distribution. Following univariate analyses of these characteristics, along with an evaluation of different aggregations of event characteristics, multiple linear regression models, as well as random forests, are constructed. A novel slope indicator, which represents the relation between the return period of flood peaks and event characteristics, captures the controls of heavy tails best. Variables describing the catchment response are found to dominate the heavy tail behavior, followed by event precipitation, flood seasonality, and catchment size. The pre-event moisture state in a catchment has no relevant impact on the tail heaviness even though it does influence flood magnitudes.

資料詳細

表示:
非表示:
言語: eng - 英語
 日付: 2022-06-142022-06-14
 出版の状態: Finally published
 ページ: 25
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1029/2021WR031260
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
OATYPE: Hybrid Open Access
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Water Resources Research
種別: 学術雑誌, SCI, Scopus, oa
 著者・編者:
所属:
出版社, 出版地: -
ページ: - 巻号: 58 (6) 通巻号: e2021WR031260 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals484
Publisher: Wiley
Publisher: American Geophysical Union (AGU)