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Assessing sediment yield and sources using fingerprinting method in a representative catchment of the Loess Plateau, China

机译:在中国黄土高原代表性集水区中评估沉积物产量和来源

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摘要

Quantitative assessment of sediment yield and sources is of great importance for future soil and water conservation and watershed management in erosion-prone areas. This study investigated sediment yield and sources by using a simple fingerprinting method in a dam-controlled watershed on the northern Loess Plateau. The sampling sediment profile exhibited 24 flood couplets corresponding to rainfall storms from 2001 to 2014. A total of 2.05 x 10(5) t sediment was trapped during the period. The annual sediment yield varied from 0 to 430 t ha(-1) year(-1), with an average annual sediment yield of 146.1 t ha(-1) year(-1). Ten sediment properties (i.e., sigma C-13, sigma N-15, TOC, TN, C/N, X-lf, X-hf, X-fd, Cs-137, Pb-210) were potentially selected to identify the sediment sources. The multivariate discriminant function analysis (DFA) test suggested that three soil properties (X-hf, TN, and Cs-137) comprised the optimum composite fingerprinting. The results demonstrated that sandstone contributed nearly 90% of sediment in 2012 and 56.1% in 2003. The contribution from arable land varied from 5.2% in 2005 to 44.6% within the period of 2013-2014. On average, approximately 74.06% of sediment originated from the weathered sandstone, followed by 15.67% from arable land, and the remaining 10.27% from uncultivated land. Our finding indicated that bare sandstone was the main sediment source, leading to relatively high sediment yield in the study area. This study provides a method with great potential for sediment yields assessment and sediment source identification in ungauged watersheds on the Loess Plateau.
机译:沉积物产量的定量评估和来源对于未来的土壤和水资源保护和流域管理中的侵蚀地区的管理是重要的。本研究通过在北黄土高原的大坝控制流域中使用简单的指纹识别方法研究了沉积物产量和来源。采样沉积物谱表现出与2001至2014年降雨风暴相对应的24次洪水对联。在该期间共留下了2.05×10(5)吨沉积物。年沉积物产量从0到430 t ha(-1)年(-1)变化,平均年沉积物产量为146.1 t ha(-1)年(-1)。可能选择十种沉积物(即Sigma C-13,Sigma N-15,TOC,TN,C / N,X-LF,X-HF,X-FD,CS-137,PB-210)以识别沉积物来源。多元判别函数分析(DFA)测试表明,三种土壤性质(X-HF,TN和CS-137)包括最佳的复合指纹识别。结果表明,砂岩在2012年的沉积物占沉淀物的近90%,2003年的56.1%。耕地的贡献在2013 - 2014年期间的2005年的5.2%达到44.6%。平均而言,大约74.06%的沉积物起源于风化的砂岩,其次是耕地的15.67%,剩余的10.27%来自未开垦的土地。我们的发现表明,裸露的砂岩是主要沉积物来源,导致研究区域的沉积物相对较高。本研究提供了一种沉积物潜力的方法,在黄土高原上未吞噬的流域中的沉积物产生评估和沉积物来源鉴定。

著录项

  • 来源
    《Environmental Geology》 |2019年第8期|261.1-261.11|共11页
  • 作者单位

    Northwest A&F Univ Coll Nat Resources & Environm 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China|Chinese Acad Sci & Minist Water Resources Inst Soil & Water Conservat 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China|Chinese Acad Sci & Minist Water Resources Inst Soil & Water Conservat 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China|Chinese Acad Sci & Minist Water Resources Inst Soil & Water Conservat 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China|Chinese Acad Sci & Minist Water Resources Inst Soil & Water Conservat 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ State Key Lab Soil Eros & Dryland Farming Loess P 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China|Chinese Acad Sci & Minist Water Resources Inst Soil & Water Conservat 26 Xinong Rd Yangling 712100 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Check dam; Fingerprinting method; Sediment yield; Sediment sources; Loess Plateau;

    机译:检查大坝;指纹法;沉积物产量;沉积物来源;黄土高原;

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