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气候变化和人类活动影响下黄河远端泥北支粒度组分变化及其区域沉积效应

杨光 任春宇 石勇 徐笑梅 高建华

杨光,任春宇,石勇,等. 气候变化和人类活动影响下黄河远端泥北支粒度组分变化及其区域沉积效应[J]. 海洋学报,2023,45(2):74–84 doi: 10.12284/hyxb2023021
引用本文: 杨光,任春宇,石勇,等. 气候变化和人类活动影响下黄河远端泥北支粒度组分变化及其区域沉积效应[J]. 海洋学报,2023,45(2):74–84 doi: 10.12284/hyxb2023021
Yang Guang,Ren Chunyu,Shi Yong, et al. Variations in grain size composition and regional sedimentary effects in the north branch of Huanghe River distal mud induced by climate changes and human activities[J]. Haiyang Xuebao,2023, 45(2):74–84 doi: 10.12284/hyxb2023021
Citation: Yang Guang,Ren Chunyu,Shi Yong, et al. Variations in grain size composition and regional sedimentary effects in the north branch of Huanghe River distal mud induced by climate changes and human activities[J]. Haiyang Xuebao,2023, 45(2):74–84 doi: 10.12284/hyxb2023021

气候变化和人类活动影响下黄河远端泥北支粒度组分变化及其区域沉积效应

doi: 10.12284/hyxb2023021
基金项目: 国家自然科学基金(42276170,42106158)
详细信息
    作者简介:

    杨光(1997-),男,吉林省通化市人,研究方向为海洋沉积学。 E-mail:sunshinegeog@163.com

    通讯作者:

    高建华(1973-),教授,主要从事海洋沉积动力学研究。 E-mail:jhgao@nju.edu.cn

  • 中图分类号:  P736.21

Variations in grain size composition and regional sedimentary effects in the north branch of Huanghe River distal mud induced by climate changes and human activities

  • 摘要: 受限于海洋动力条件的复杂性,基于陆架泥质沉积重建的古气候或古环境一直存在争议。为此,本文在北黄海地区沿沉积物输运路径采集3根柱样,通过沉积物粒度及其端元组分和基于器测数据的东亚冬季风指数和黄海暖流强度,分析了不同泥区沉积物粒度端元组分对冬季风暴和黄海暖流变化的响应机理和强度,揭示了上述变化在不同区域产生的沉积效应。结果表明,近百年以来黄河远端泥北支的沉积物组分变化受到了自然因素和人类活动的共同影响。1980年以后,人类活动对黄河沉积物入海通量及其组成的影响开始增强,并掩盖了自然演化信息。而1980年以前,不同泥区的不同端元组分对冬季风暴和黄海暖流的响应机理和强度存在差异,具有显著的区域沉积效应:粗端元组分受冬季风暴强度变化主导,能够反映山东半岛北岸跨锋面物质输运强度的变化;细端元组分受到黄海暖流强度变化主导,反映沉积物从北黄海西部泥区到辽东半岛东岸泥区的输运过程。上述结论说明,虽然粒度是表征古气候和古环境变化的重要标志物,但应根据不同泥区沉积物来源和沉积动力环境的特点,谨慎选择敏感端元组分,正确地使用粒度指标。
  • 图  1  研究区位图

    Fig.  1  Map of survey location

    图  2  柱样N1、N2和N4总210Pb活度和过剩210Pb活度的垂向分布(1 Bq=60 dpm)

    Fig.  2  Vertical distributions of total and excess 210Pb radioactivity in cores N1, N2 and N4 (1 Bq=60 dpm)

    图  3  柱样N1、N2和N4平均粒径垂向变化及端元频率分布曲线

    Fig.  3  Vertical distributions of the mean grain size and frequency distribution curves of cores N1, N2 and N4

    图  4  1900–1997年东亚冬季风和N2粗端元组分(EM3)小波交叉谱(a)以及黄海暖流与N4细端元组分(EM1和EM2)小波交叉谱(b)。1900–2020年东亚冬季风指数(c)、黄海暖流温度距平(d)、N2粗端元组分(EM3)(e)、N4细端元组分(EM1和EM2)变化(f)和黄河输沙量(g)。1980–2020年黄河输沙量与柱样N2粗端元组分(EM3)(h)和柱样N4细端元组分(EM1和EM2)(i)之间的相关性

    东亚冬季风指数,1900–1997年数据引自文献[34],1998–2020年数据根据文献[35]的定义计算;黄海暖流温度距平,1900–1997年使用SODA数据计算,1998–2020年使用ERA5数据计算

    Fig.  4  Cross wavelet transform between East Asian Winter Monsoon (EAWM) and coarse-grained end member (EM3) of Core N2 (a) and between Yellow Sea Warm Current (YSWC) and fine-grained end member (EM1 and EM2) of core N4 (b) during 1900–1997. Variations in EAWM index (c), sea surface temperature (SST) anomaly of Yellow Sea Warm Current (d), coarse-grained end member (EM3) of Core N2 (e) and fine-grained end member (EM1 and EM2) of Core N4 (f). Correlation between sediment load delivered from the Huanghe River to the sea with coarse-grained end member (EM3) of Core N2 (h) and fine-grained end member (EM1 and EM2) of Core N4 (i) during 1980–2020

    EAWM index was derived from reference [34] during 1900–1997 and was calculated using data from reference [35] during 1998–2020. SST anomaly of Yellow Sea Warm Current was calculated using SODA data during 1900–1997 and ERA5 data during 1998–2020

    表  1  柱样信息

    Tab.  1  The information of sample columns

    柱样编号纬度经度水深/m长度/cm
    N137.59°N122.88°E4060.5
    N238.28°N122.67°E5038
    N439.08°N122.32°E2541.5
    下载: 导出CSV

    表  2  端元拟合结果

    Tab.  2  The results of end member unmixing

    No. of EMSEM R2R2Theta
    20.0200.9509.053
    30.0200.9747.212
    40.0540.9923.932
    50.1440.9982.103
    60.2180.9991.219
    注:No. of EMS为拟合端元数量;EM R2为所有拟合端元之间线性平方相关性的最大值;R2为测量数据集和拟合的端元数据集之间的线性平方相关性;Theta为测量数据集和拟合端元数据集之间的角度距离。
    下载: 导出CSV
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  • 收稿日期:  2022-08-04
  • 修回日期:  2022-09-02
  • 网络出版日期:  2023-02-03
  • 刊出日期:  2023-02-01

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