Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary

被引:0
|
作者
Chao Zhan
Junbao Yu
Qing Wang
Yunzhao Li
Di Zhou
Qinghui Xing
Xiaojing Chu
机构
[1] Chinese Academy of Sciences,Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research
[2] The Institute of Coastal Ecology,undefined
[3] University of Chinese Academy of Sciences,undefined
来源
关键词
surface suspended sediment concentration (SSSC); water spectral reflectance; cubic model; quantitative remote sensing inversion; Yellow River Estuary;
D O I
暂无
中图分类号
学科分类号
摘要
Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cubic retrieval model was developed for the retrieval of SSSC from Yellow River Estuary. Based on sediments and seawater collected from the Yellow River and southeastern Laizhou Bay, SSSC conditions were reproduced in the laboratory at increasing concentrations within a range common to field observations. Continuous spectrum measurements of the various SSSCs ranging from 1 to 5700 mg/l were carried out using an AvaField-3 spectrometer. The results indicated the good correlation between water SSSC and spectral reflectance (Rrs) was obtained in the spectral range of 726–900 nm. At SSSC greater than 2700 mg/L, the 740–900 nm spectral range was less susceptible to the effects of spectral reflectance saturation and more suitable for retrieval of high sediment concentrations. The best correlations were obtained for the reflectance ratio of 820 nm to 490 nm. Informed by the correlation between Rrs and SSSC, a retrieval model was developed (R2 = 0.992). The novel cubic model, which used the ratio of a near-infrared (NIR) band (740–900 nm) to a visible band (400–600 nm) as factors, provided robust quantification of high SSSC water samples. Two high SSSC centers, with an order of 103 mg/l, were found in the inversion results around the abandoned Diaokou River mouth, the present Yellow River mouth to the abandoned Qingshuigou River mouth. There was little sediment exchange between the two high SSSC centers due to the directions of the residual currents and vertical mixing.
引用
收藏
页码:934 / 947
页数:13
相关论文
共 50 条
  • [1] Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary
    ZHAN Chao
    YU Junbao
    WANG Qing
    LI Yunzhao
    ZHOU Di
    XING Qinghui
    CHU Xiaojing
    [J]. Chinese Geographical Science, 2017, 27 (06) : 934 - 947
  • [2] Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary
    ZHAN Chao
    YU Junbao
    WANG Qing
    LI Yunzhao
    ZHOU Di
    XING Qinghui
    CHU Xiaojing
    [J]. Chinese Geographical Science, 2017, (06) - 947
  • [3] Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary
    Zhan Chao
    Yu Junbao
    Wang Qing
    Li Yunzhao
    Zhou Di
    Xing Qinghui
    Chu Xiaojing
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2017, 27 (06) : 934 - 947
  • [4] Remote sensing analysis of surface suspended sediment concentration in the Changjiang Estuary
    He, Q
    Yun, CX
    Shi, WR
    [J]. PROGRESS IN NATURAL SCIENCE, 1999, 9 (06) : 440 - 446
  • [5] Remote sensing analysis of surface suspended sediment concentration in the Changjiang Estuary
    何青
    恽才兴
    时伟荣
    [J]. Progress in Natural Science:Materials International, 1999, (06) : 41 - 47
  • [6] Study on Distribution Characteristics of Suspended Sediment in Yellow River Estuary Based on Remote Sensing
    Yu, Shengyan
    Mantravadi, Venkata Subrahmanyam
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2019, 47 (09) : 1507 - 1513
  • [7] Study on Distribution Characteristics of Suspended Sediment in Yellow River Estuary Based on Remote Sensing
    Shengyan Yu
    Venkata Subrahmanyam Mantravadi
    [J]. Journal of the Indian Society of Remote Sensing, 2019, 47 : 1507 - 1513
  • [8] Remotely Sensed Retrieval of Extreme High Surface Suspended Sediment Concentration in the Yellow River Estuary from 1996 to 2017
    Zhan, Chao
    Doug, Cheng
    Wang, Tianyi
    Li, Boyao
    Liu, Yan
    Yu, Xiang
    [J]. JOURNAL OF COASTAL RESEARCH, 2020, : 221 - 226
  • [9] Response of suspended sediment concentration to water and sediment regulation in yellow river estuary
    Zhao, Hongling
    Yang, Haibo
    Li, Yunfei
    Li, Ruifei
    [J]. PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENTAL ENGINEERING, 2016, 53 : 1177 - 1181
  • [10] Remote Sensing of Surface Suspended Sediment Concentration in Yangtze Estuary from SeaWiFS Data
    Liao Yingdi
    Zhang Wei
    Chen Da
    [J]. CHINESE-GERMAN JOINT SYMPOSIUM ON HYDRAULIC AND OCEAN ENGINEERING (CG JOINT 2010), 2010, : 395 - 399