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[求助] Sediment yield variability in Spain: a quantitative and semiqualitative analysis

作者:

Gert Verstraeten, Jean Poesen, Joris de Vente, Xenia Koninckx

文题:

Sediment yield variability in Spain: a quantitative and semiqualitative analysis using reservoir sedimentation rates

期刊名,年份,卷(期),起止页码:

Geomorphology 50, 327–348.

全文链接:

doi:10.1016/S0169-555X(02)00220-9

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Sediment yield variability in Spain: a quantitative and semiqualitative analysis using reservoir sedimentation rates
作者:Verstraeten, G (Verstraeten, G); Poesen, J (Poesen, J); de Vente, J (de Vente, J); Koninckx, X (Koninckx, X)

隐藏 ResearcherID 和 ORCID查看 ResearcherID 和 ORCID 作者 ResearcherID ORCID 号
de Vente, Joris  C-1304-2012 https://orcid.org/0000-0001-7428-0621
Verstraeten, Gert  K-3305-2012 https://orcid.org/0000-0002-6529-7381

GEOMORPHOLOGY

卷: 50
期: 4
页: 327-348
DOI: 10.1016/S0169-555X(02)00220-9

出版年: MAR 1 2003

查看期刊信息

GEOMORPHOLOGY

出版商 ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

ISSN: 0169-555X

研究领域 Physical Geography
Geology

摘要
An existing dataset of area-specific sediment yield (SSY) for 60 catchments in Spain that was retrieved from sediment deposition rates in reservoirs [Avendano Salas, C., Sanz Montero, E., Rayan, C., Gomez Montana, 1997. Sediment yield at Spanish reservoirs and its relationship with the drainage basin area. In: Proceedings of the 19th Symposium of Large Dams, Florence, 1997. ICOLD (International Committee on Large Dams), pp. 863 - 874] reveals that catchment area alone explains only 17% of the variability in SSY. In this study, an attempt to explain the remaining variability in SSY was made using a quantitative and a semiqualitative approach for 22 catchments. During a field survey, the 22 selected catchments were characterised by topography, vegetation cover, lithology, shape and the presence of gullies in the broad vicinity of the reservoir. This information was used to develop a factorial scoring index model that provides a fairly accurate and reliable prediction of SSY A classical multiple regression model using climatic, topographic and land use properties derived from regional datasets could not explain as much variance as the qualitative index model, nor did it appear to be as reliable. The same conclusion could be drawn when using the CORINE soil erosion risk map of southern Europe. The low prediction capability of the multiple regression models and the CORINE soil erosion risk map could be attributed mainly to the fact that these methods do not incorporate gully erosion and that the land cover data are not a good representation of soil cover. Both variables have been shown to be of great importance during the field surveys. Future assessments of SSY could be quickly and efficiently made using the proposed factorial scoring index model. In comparison with other models, which demand more data, the index model offers an alternative prediction tool. (C) 2002 Elsevier Science B.V All rights reserved.

关键词
作者关键词:sediment yield; Spain; CORINE; gully erosion; reservoirs

KeyWords Plus:CLIMATE; CHANNEL

作者信息
通讯作者地址: Verstraeten, G (通讯作者) Catholic Univ Louvain, Lab Expt Geomorphol, Redingenstr 16, B-3000 Louvain, Belgium.
  增强组织信息的名称
KU Leuven

地址:  [ 1 ] Catholic Univ Louvain, Lab Expt Geomorphol, B-3000 Louvain, Belgium
  增强组织信息的名称
KU Leuven

电子邮件地址:gert.verstraeten@geo.kuleuven.ac.be

出版商
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

类别 / 分类
研究方向

hysical Geography; Geology

Web of Science 类别:Geography, Physical; Geosciences, Multidisciplinary

文献信息
文献类型:Article

语种:English

入藏号: WOS:000181847800003

ISSN: 0169-555X

期刊信息

目录： Current Contents Connect®
其他信息
IDS 号: 660RW

Web of Science 核心合集中的 "引用的参考文献": 30

Web of Science 核心合集中的 "被引频次": 69

影响因子 2.785  3.256
2014  5 年

JCR® 类别类别中的排序 JCR 分区
GEOGRAPHY, PHYSICAL  13/46  Q2
GEOSCIENCES, MULTIDISCIPLINARY  33/175  Q1

数据来自第 2014 版 Journal Citation Reports®

引文网络
69 被引频次

30 引用的参考文献

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69 / Web of Science 核心合集

23 / BIOSIS Citation Index

4 / 中国科学引文数据库

0 / Data Citation Index

0 / Russian Science Citation Index

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