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Article Navigation >  Chinese Geographical Science  > 2017  >  27(6): 934-947

ZHAN Chao, YU Junbao, WANG Qing, LI Yunzhao, ZHOU Di, XING Qinghui, CHU Xiaojing. Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary[J]. Chinese Geographical Science, 2017, 27(6): 934-947. doi: 10.1007/s11769-017-0921-7
Citation: ZHAN Chao, YU Junbao, WANG Qing, LI Yunzhao, ZHOU Di, XING Qinghui, CHU Xiaojing. Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary[J]. Chinese Geographical Science, 2017, 27(6): 934-947. doi: 10.1007/s11769-017-0921-7
shu

Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary

doi: 10.1007/s11769-017-0921-7
  • 1.

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;

  • 2.

    The Institute of Coastal Ecology, Ludong University, Yantai 264025, China;

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  Under the auspices of National Key R&D Program of China (No. 2017YFC0505902), Project of the Cultivation Plan of Superior Discipline Talent Teams of Universities in Shandong Province, National Natural Science Foundation of China (No. 41471005, 41271016)
More Information
  • Corresponding author: YU Junbao.E-mail:junbao.yu@gmail.com
  • Received Date: 2017-05-08
  • Rev Recd Date: 2017-08-01
  • Publish Date: 2017-12-27
  • 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.
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Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary

doi: 10.1007/s11769-017-0921-7
  • 1. Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;
  • 2. The Institute of Coastal Ecology, Ludong University, Yantai 264025, China;
  • 3. University of Chinese Academy of Sciences, Beijing 100049, China
Funds:  Under the auspices of National Key R&D Program of China (No. 2017YFC0505902), Project of the Cultivation Plan of Superior Discipline Talent Teams of Universities in Shandong Province, National Natural Science Foundation of China (No. 41471005, 41271016)
    Corresponding author: YU Junbao.E-mail:junbao.yu@gmail.com
  • Received Date: 2017-05-08
  • Rev Recd Date: 2017-08-01
  • Publish Date: 2017-12-27

Abstract: 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.

ZHAN Chao, YU Junbao, WANG Qing, LI Yunzhao, ZHOU Di, XING Qinghui, CHU Xiaojing. Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary[J]. Chinese Geographical Science, 2017, 27(6): 934-947. doi: 10.1007/s11769-017-0921-7
Citation: ZHAN Chao, YU Junbao, WANG Qing, LI Yunzhao, ZHOU Di, XING Qinghui, CHU Xiaojing. Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary[J]. Chinese Geographical Science, 2017, 27(6): 934-947. doi: 10.1007/s11769-017-0921-7
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