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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) 隱藏 ResearcherID 和 ORCID查看 ResearcherID 和 ORCID 作者 ResearcherID ORCID 號(hào) 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 頁(yè): 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 研究領(lǐng)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. 關(guān)鍵詞 作者關(guān)鍵詞:sediment yield; Spain; CORINE; gully erosion; reservoirs KeyWords Plus:CLIMATE; CHANNEL 作者信息 通訊作者地址: Verstraeten, G (通訊作者) Catholic Univ Louvain, Lab Expt Geomorphol, Redingenstr 16, B-3000 Louvain, Belgium. 增強(qiáng)組織信息的名稱 KU Leuven 地址: [ 1 ] Catholic Univ Louvain, Lab Expt Geomorphol, B-3000 Louvain, Belgium 增強(qiáng)組織信息的名稱 KU Leuven 電子郵件地址:gert.verstraeten@geo.kuleuven.ac.be 出版商 ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 類別 / 分類 研究方向 hysical Geography; GeologyWeb of Science 類別:Geography, Physical; Geosciences, Multidisciplinary 文獻(xiàn)信息 文獻(xiàn)類型:Article 語(yǔ)種:English 入藏號(hào): WOS:000181847800003 ISSN: 0169-555X 期刊信息 目錄: Current Contents Connect® 其他信息 IDS 號(hào): 660RW Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 30 Web of Science 核心合集中的 "被引頻次": 69 影響因子 2.785 3.256 2014 5 年 JCR® 類別 類別中的排序 JCR 分區(qū) GEOGRAPHY, PHYSICAL 13/46 Q2 GEOSCIENCES, MULTIDISCIPLINARY 33/175 Q1 數(shù)據(jù)來(lái)自第 2014 版 Journal Citation Reports® 引文網(wǎng)絡(luò) 69 被引頻次 30 引用的參考文獻(xiàn) 查看 Related Records 查看引證關(guān)系圖 創(chuàng)建引文跟蹤 (數(shù)據(jù)來(lái)自 Web of ScienceTM 核心合集) 全部被引頻次計(jì)數(shù) 74 / 所有數(shù)據(jù)庫(kù) 69 / Web of Science 核心合集 23 / BIOSIS Citation Index 4 / 中國(guó)科學(xué)引文數(shù)據(jù)庫(kù) 0 / Data Citation Index 0 / Russian Science Citation Index 1 / SciELO Citation Index 使用次數(shù) 最近 180 天: 3 2013 年至今: 18 進(jìn)一步了解 最近的引文 查看全部 此記錄來(lái)自: Web of ScienceTM 核心合集 在其他數(shù)據(jù)庫(kù)中查看記錄: 查看 最新數(shù)據(jù) (在 Current Contents Connect® 中) 建議修正 如果希望提高此記錄中數(shù)據(jù)的質(zhì)量,請(qǐng)?zhí)峁┬拚ㄗh。 期刊信息 目錄: Current Contents Connect® |
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