基于GEE的黄河口及邻近海域悬浮泥沙质量浓度时空演变及趋势分析

doi:10.3976/j.issn.1002-4026.2025024

山东科学 ›› 2025, Vol. 38 ›› Issue (3): 51-63.doi: 10.3976/j.issn.1002-4026.2025024

基于GEE的黄河口及邻近海域悬浮泥沙质量浓度时空演变及趋势分析

范乾毅¹, 刘芳媛², 纪泽禄³, 卞晓东⁴, 禹定峰³^,⁵^,^*(), 赵歆祺³

1.云南大学地球科学学院,云南昆明 650500
2.青岛蓝谷管理局,山东青岛 266237
3.齐鲁工业大学(山东省科学院) 海洋仪器仪表研究所,山东青岛 266001
4.广东海洋大学化学与环境学院,广东湛江 524000
5.山东省科学院山东省院士工作站,山东济南 250014

收稿日期:2025-03-09 出版日期:2025-06-20 发布日期:2025-06-26
通信作者: 禹定峰 E-mail:dfyu@qlu.edu.cn
作者简介:范乾毅(2001—),男,硕士研究生,研究方向为卫星海洋遥感与地理信息系统、地球重磁异常与地质热力结构。
基金资助:
国家自然科学基金项目(42106172);山东省自然科学基金项目(ZR2024MD003);山东省属普通本科高校教师访学研修项目;青岛市海洋科技专项(23-1-3-hygg-6-hy);教育部产学合作协同育人项目(202102245036);教育部产学合作协同育人项目(202101044002);齐鲁工业大学(山东省科学院)科教产融合创新试点工程项目(2023JBZ03);国家级大学生创新训练项目(202410431012)

Spatiotemporal evolution and trend analysis of suspended sediment mass concentration in the Yellow River Estuary and adjacent sea areas using Google Earth Engine

FAN Qianyi¹, LIU Fangyuan², JI Zelu³, BIAN Xiaodong⁴, YU Dingfeng³^,⁵^,^*(), ZHAO Xinqi³

1. School of Earth Sciences,Yunnan University,Kunming 650500,China
2. Qingdao Blue Valley Management Bureau, Qingdao 266237,China
3. Institute of Oceanographic Instrumentation, Qilu University of Technology(Shandong Academy of Sciences), Qingdao 266001, China
4. College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524000, China
5. Academician Workstation of Shandong Province, Shandong Academy of Sciences, Jinan 250014, China

Received:2025-03-09 Online:2025-06-20 Published:2025-06-26
Contact: YU Dingfeng E-mail:dfyu@qlu.edu.cn

摘要/Abstract

摘要：

悬浮泥沙质量浓度是衡量河口水环境质量的重要指标,能够影响水体透明度、浑浊度、近岸海域生态环境及岸线稳定性。基于Google Earth Engine遥感云计算平台对1984—2024年黄河口及其邻近海域的悬浮泥沙质量浓度进行数据统计,探讨其时空分布及变化趋势,并分析其演化过程的主要驱动因子。研究表明:41年间,研究区悬沙浓度总体呈下降趋势,低悬沙浓度水体的比例逐渐增加,高值区逐渐向近岸集中,主要呈现于渤海湾南部和莱州湾西南沿岸,表现出条带状分布特征;通过Theil-Sen Median斜率估计和Mann-Kendall趋势分析,得到清坝水道与人工出汊悬浮泥沙质量浓度显著增加,清水沟道悬浮泥沙质量浓度显著减少,渤海湾和莱州湾总体呈微上升趋势;人为影响后的黄河口悬沙质量浓度表现出显著变化,每次改道后,原河口质量高浓度区萎缩,改道后的河口高质量浓度区向近海扩展。

关键词: Google Earth Engine云平台, 卫星遥感, 悬浮泥沙质量浓度, 时空分布, 黄河口近海海域

Abstract:

Suspended sediment mass concentration (ρ_SSC) is a key indicator of estuarine water quality, influencing water transparency, turbidity, nearshore ecosystems, and shoreline stability. In this study, ρ_SSC dynamics in the Yellow River Estuary and adjacent sea areas were analyzed from 1984 to 2024 using satellite remote sensing data processed on the Google Earth Engine platform. We examined the spatiotemporal distribution patterns, long-term trends, and primary drivers of ρ_SSC changes. Over the 41-year period, ρ_SSC exhibited a general declining trend, with low-ρ_SSC waters increasingly dominant. High Suspended sediment mass concentration regions became more localized near the coast, primarily in southern Bohai Bay and the southwestern coast of Laizhou Bay, forming a banded distribution. Theil-Sen Median slope estimation and Mann-Kendall trend analysis revealed significant ρ_SSC increases in the Qingba waterway and artificial distributary channels, whereas significant decreases were observed in the Qingshui Ditch area. Bohai Bay and Laizhou Bay showed a slight upward trend overall. Human interventions, particularly river course diversions, significantly influenced ρ_SSC patterns: historical high Suspended sediment mass concentration estuarine zones contracted, whereas new high Suspended sediment mass concentration zones expanded seaward following each diversion.

Key words: Google Earth Engine, satellite remote sensing, suspended sediment mass concentration, spatiotemporal distribution, the Yellow River estuary and its adjacent sea areas

中图分类号:

TP79

范乾毅, 刘芳媛, 纪泽禄, 卞晓东, 禹定峰, 赵歆祺. 基于GEE的黄河口及邻近海域悬浮泥沙质量浓度时空演变及趋势分析[J]. 山东科学, 2025, 38(3): 51-63.

FAN Qianyi, LIU Fangyuan, JI Zelu, BIAN Xiaodong, YU Dingfeng, ZHAO Xinqi. Spatiotemporal evolution and trend analysis of suspended sediment mass concentration in the Yellow River Estuary and adjacent sea areas using Google Earth Engine[J]. Shandong Science, 2025, 38(3): 51-63.

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数据源	波段名称	波长/μm	类型
Landsat 5 TM	SR_B3	0.63~0.69	波段3(红色)表面反射率
Landsat 7 ETM+	SR_B3	0.63~0.69	波段3(红色)表面反射率
Landsat 8 OLI	SR_B4	0.636~0.673	波段4(红色)表面反射率

基于GEE的黄河口及邻近海域悬浮泥沙质量浓度时空演变及趋势分析

Spatiotemporal evolution and trend analysis of suspended sediment mass concentration in the Yellow River Estuary and adjacent sea areas using Google Earth Engine

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