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基于GEE的黄河口表层悬浮泥沙浓度时空分布及其影响因素分析

李慧真 王雨辰 段高雨 黄珏

李慧真,王雨辰,段高雨,等. 基于GEE的黄河口表层悬浮泥沙浓度时空分布及其影响因素分析[J]. 海洋学报,2023,45(8):178–190 doi: 10.12284/hyxb2023090
引用本文: 李慧真,王雨辰,段高雨,等. 基于GEE的黄河口表层悬浮泥沙浓度时空分布及其影响因素分析[J]. 海洋学报,2023,45(8):178–190 doi: 10.12284/hyxb2023090
Li Huizhen,Wang Yuchen,Duan Gaoyu, et al. Analysis of the temporal and spatial distribution of suspended sediment concentration and its influencing factors in the Huanghe River Estuary based on GEE[J]. Haiyang Xuebao,2023, 45(8):178–190 doi: 10.12284/hyxb2023090
Citation: Li Huizhen,Wang Yuchen,Duan Gaoyu, et al. Analysis of the temporal and spatial distribution of suspended sediment concentration and its influencing factors in the Huanghe River Estuary based on GEE[J]. Haiyang Xuebao,2023, 45(8):178–190 doi: 10.12284/hyxb2023090

基于GEE的黄河口表层悬浮泥沙浓度时空分布及其影响因素分析

doi: 10.12284/hyxb2023090
基金项目: 国家自然科学基金(42076185,41706194);山东科技大学科研创新团队支持计划(2019TDJH103)。
详细信息
    作者简介:

    李慧真(2001-),女,山东省临沂市人,研究方向为水色遥感。E-mail: lihuizhen_2001@163.com

    通讯作者:

    黄珏,女,湖南省韶山市人,副教授,研究方向为水环境遥感。E-mail: huangjue@sdust.edu.cn

  • 中图分类号: X87; P734.2+31

Analysis of the temporal and spatial distribution of suspended sediment concentration and its influencing factors in the Huanghe River Estuary based on GEE

  • 摘要: 黄河三角洲作为我国重要的生态功能区,探究入海口处表层悬浮泥沙浓度(Suspended Sediment Concentration, SSC)分布及其影响因素对沉积物侵蚀再悬浮、河口海岸带生态过程等具有指导意义。本文基于色度角与SSC之间的关系建立了适于黄河口及邻近海域的SSC反演模型(R2 = 0.80,MRE = 11.0%,RMSE = 1.35 mg/L)。借助GEE平台,研究得到2000−2021年黄河口及邻近海域SSC的时空分布特征和变化规律,并从自然和人类活动两方面进行影响因素分析。研究区年均SSC呈波动下降的趋势(−1.83 mg/(L·a));空间分布表现为由近岸向远岸逐渐降低的趋势;扩散区间(年均SSC > 20 mg/L)仅在距离河口4.8~14.6 km之间,黄河入海泥沙对现行黄河口处泥沙扩散影响有限。波浪与悬浮泥沙浓度存在相同的季节特征,非调水调沙期间,有效波高与SSC年代际月均值呈现正相关关系(r = 0.66,p < 0.01);调水调沙期间,现行黄河口门以及莱州湾处SSC受风速、有效波高影响有限,调水调沙占主导地位。调水调沙期间的来沙系数与高浓度区面积变化率呈正相关的关系,调水调沙结束后(16 d内),高浓度区(SSC > 200 mg/L)边界由距沿岸约1.3 km扩大至约2.5 km。
  • 图  1  黄河口及邻近海域采样站点示意图

    图中红框为5.3.2节中的研究范围

    Fig.  1  Schematic diagram of sampling stations in Huanghe River Estuary and adjacent sea areas

    Red box is the research scope in Section 5.3.2

    图  2  SSC反演模型的校准(a)与验证(b)

    Fig.  2  Calibration (a) and verification (b) of the SSC inversion model

    图  3  2000−2021年黄河口及邻近海域SSC逐年均值分布

    Fig.  3  Annual mean distribution of SSC in the Huanghe River Estuary and its adjacent sea areas from 2000 to 2021

    图  4  2000−2021年黄河口及邻近海域SSC年均值变化

    Fig.  4  Annual mean change of SSC in the Huanghe River Estuary and its adjacent sea areas from 2000 to 2021

    图  5  2000−2021年黄河口及邻近海域SSC月均值分布

    Fig.  5  Monthly mean distribution of SSC in the Huanghe River Estuary and its adjacent sea areas from 2000 to 2021

    图  6  2000–2021年黄河口及邻近海域SSC季均值变化

    Fig.  6  Seasonal mean change of SSC in the Huanghe River Estuary and its adjacent sea areas from 2000 to 2021

    图  7  黄河口及邻近海域SSC季均值(a、b、c、d)和年均值(e)分布

    Fig.  7  Seasonal mean (a, b, c, d) and annual mean (e) distribution of SSC in the Huanghe River Estuary and its adjacent sea areas

    图  8  2000−2021年利津站年均含沙量与SSC的关系

    Fig.  8  Relationship between incoming sediment coefficient and SSC in Lijin Station from 2000 to 2021

    图  9  研究区逐月波高等级分布

    Fig.  9  Monthly wave height grade distribution in the study area

    图  10  研究区各时段有效波高与SSC年代际月均值关系图

    Fig.  10  Relationship between effective wave height and SSC interdecadal monthly mean value in the study area

    图  11  小浪底水文站调水调沙年份与未调水调沙年份SSC反演结果对比

    Fig.  11  Comparison of SSC inversion results between the year of water and sediment regulation and the year of no water and sediment regulation at Xiaolangdi Hydrological Station

    图  12  2006–2017年各年6−9月的平均风速及其变化率

    Fig.  12  Average wind speed and its change rate from June to September in 2006 to 2017

    图  13  调水调沙期间来沙系数与调水调沙前后高浓度区面积变化率关系图

    Fig.  13  Relationship between incoming sediment coefficient during water and sediment regulation and area change rate of high concentration area before and after water and sediment regulation

    表  1  实测数据信息

    Tab.  1  Measured data information

    采样时间/影像时间建模数据站点验证数据站点
    2012年9月10日S3、S4、S5、S6、S7、S8、
    S9、S10、S11、S12、S13
    S10、S14
    2012年9月14日S24、S25、S26、S27
    2012年9月19日S15、S18、S23S1、S2、S16、S17
    2012年9月20日S19、S20、S21、S22
    下载: 导出CSV

    表  2  悬浮泥沙浓度遥感反演模型比较

    Tab.  2  Comparison of remote sensing inversion models of suspended sediment concentration

    X1模型R2RMSEMRE/%
    B1SSC = exp(0.290 + 47.02X1) [28]0.8740.5715.50
    IRSSC = 0.21 − 40.88X1
    + 34 419.43X12 −1 85 335X13 [29]
    0.9011.2012.50
    B1/B4SSC = 3.407 × exp(3.708X1) [30]0.805.0611.00
    B1/B4SSC = 0.493 2 × exp(4.215X1) [31]0.814.7512.50
    αSSC = 1 156 274.11 × exp( – 0.14X1) (本文)0.801.3511.00
    下载: 导出CSV
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  • 收稿日期:  2022-11-30
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