Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager | |
Hou, Yingzhuo1,2,3; Xing, Qianguo1,2,3; Zheng, Xiangyang1,2,3; Sheng, Dezhi1,2,3; Wang, Futao4; Krishnappan, Bommanna | |
发表期刊 | WATER |
2023-10-01 | |
卷号 | 15期号:19页码:16 |
关键词 | Sustainable Development Goals Science Satellite 1 suspended sediment concentration the Yellow River estuary Laizhou Bay the Bohai Sea |
DOI | 10.3390/w15193522 |
通讯作者 | Xing, Qianguo([email protected]) |
英文摘要 | Suspended sediments have profound impacts on marine primary productivity and the ecological environment. The Yellow River estuary and its vicinity waters, with a high dynamic range of suspended sediment concentration (SSC), have important eco-environmental functions for the sustainable development in this region. The multispectral imager (MI) on board China's first Sustainable Development Goals Science Satellite 1 (SDGSAT-1) features seven high-resolution bands (10 m). This study employs multispectral imagery obtained from SDGSAT-1 with single-band and band-ratio models to monitor the SSC in the Yellow River estuary and its vicinity waters. The results show that SDGSAT-1 images can be used to estimate the SSC in the Yellow River estuary and its vicinity waters. The overall pattern of the SSC exhibits a notable pattern of higher concentrations in nearshore areas and lower concentrations in offshore areas, and the retrieved SSC can attain values surpassing 1000 mg/L in nearshore areas. The R2 values of both the single-band and the band-ratio models for SSC inversion exceed 0.7. The single-band model R(854) demonstrates superior performance, achieving the highest R2 value of 0.93 and the lowest mean absolute percentage error (MAPE) of 44.04%. The single-band model based on SDGSAT-1 R(854) tends to outperform the band-ratio models for waters with algal blooms, which may be used for inversions of SSC and/or suspended particulate matter (SPM) in the waters full of algal blooms and suspended sediments. The monitoring results by SDGSAT-1 suggest that the complex SSC distributions in the Yellow River estuary and its vicinity waters were highly impacted by the river sediments discharge, tide, currents and wind-induced waves. |
资助机构 | Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences ; International Research Center of Big Data for Sustainable Development Goals (CBAS) |
收录类别 | SCI |
语种 | 英语 |
关键词[WOS] | BOHAI ; RETRIEVAL ; TRANSPORT ; MATTER ; BAY |
研究领域[WOS] | Environmental Sciences & Ecology ; Water Resources |
WOS记录号 | WOS:001125962700001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/36581 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
通讯作者 | Xing, Qianguo |
作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Hou, Yingzhuo,Xing, Qianguo,Zheng, Xiangyang,et al. Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager[J]. WATER,2023,15(19):16. |
APA | Hou, Yingzhuo,Xing, Qianguo,Zheng, Xiangyang,Sheng, Dezhi,Wang, Futao,&Krishnappan, Bommanna.(2023).Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager.WATER,15(19),16. |
MLA | Hou, Yingzhuo,et al."Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager".WATER 15.19(2023):16. |
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