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Sediment yield variability in Spain: a quantitative and semiqualitative analysis
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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; GeologyWeb 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 查看 Related Records 查看引证关系图 创建引文跟踪 (数据来自 Web of ScienceTM 核心合集) 全部被引频次计数 74 / 所有数据库 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 1 / SciELO Citation Index 使用次数 最近 180 天: 3 2013 年至今: 18 进一步了解 最近的引文 查看全部 此记录来自: Web of ScienceTM 核心合集 在其他数据库中查看记录: 查看 最新数据 (在 Current Contents Connect® 中) 建议修正 如果希望提高此记录中数据的质量，请提供修正建议。 期刊信息 目录： Current Contents Connect® |
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