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Environmental Earth Sciences
Erschienen in: Environmental Earth Sciences 7/2016

01.04.2016 | Original Article

Erosion rates of different land uses and sediment sources in a watershed using the 137Cs tracing method: field studies in the Loess Plateau of China

verfasst von: Mian Li, Wenyi Yao, Zhenzhou Shen, Jishan Yang, Er Yang

Erschienen in: Environmental Earth Sciences | Ausgabe 7/2016

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Abstract

A good understanding of the erosion rate and sediment source is an important prerequisite for the soil and water conservation, and the prevention and reduction of flood hazard. The objectives of this study are to estimate the erosion rate under different land uses and the sediment source by the 137Cs tracing method in a watershed on the Loess Plateau of China. In the study watershed, 54 sampling sites were selected from five land use types. The results showed that the average erosion rate from the bare land, cultivated land, desert, woodland and grassland was 6500, 5900, 4850, 620 and 320 t/km2·a, respectively. Combining the area of various land uses in the watershed, the percentage of sediment yields from the bare land, desert, cultivated land, woodland and grassland was 48.0, 28.6, 19.3, 2.1 and 2.0 %, respectively. The bare land, desert and cultivated land are the main sediment sources. These findings will be useful for the soil and water conservation management and the planning of mitigation measures.
Vorheriger Artikel A comparative study for estimation of wave height using traditional and hybrid soft-computing methods
Nächster Artikel Integration of ASTER and airborne geophysical data for mineral exploration and environmental mapping: a case study, Gabal Dara, North Eastern Desert, Egypt

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Metadaten
Titel
Erosion rates of different land uses and sediment sources in a watershed using the 137Cs tracing method: field studies in the Loess Plateau of China
verfasst von
Mian Li
Wenyi Yao
Zhenzhou Shen
Jishan Yang
Er Yang
Publikationsdatum
01.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Environmental Earth Sciences / Ausgabe 7/2016
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-015-5225-6

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