Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence
Liu, Yanxia2,3,4; Huang, Haijun2,5; Yan, Liwen2; Yang, Xiguang1; Bi, Haibo2; Zhang, Zehua2
刊名REMOTE SENSING
2020-08-01
卷号12期号:16页码:21
关键词slope of the power law PSD particle size parameters typhoon effect remote sensing reflectance coastal waters MODIS
DOI10.3390/rs12162581
通讯作者Liu, Yanxia(liuyanxia@qdio.ac.cn) ; Huang, Haijun(hjhuang@qdio.ac.cn)
英文摘要The power law particle size distribution (PSD) slope parameter is commonly used to characterize sediment fluxes, resuspension, aggregates, and settling rates in coastal and estuarine waters. However, particle size distribution metrics are also very useful for understanding sediment source and dynamic processes. In this study, a method was proposed to employ the particle size parameters commonly used in sedimentary geology (average particle size (o), sorting, skewness, and kurtosis) as indicators of changes in sediment dynamic processes, and MODIS images were used to estimate these parameters. The particle size parameters were estimated using a Mie scattering model, Quasi-Analytical Algorithm (QAA) analysis algorithm, and least squares QR decomposition (LSQR) solution method based on the relationship between the power law distribution of the suspended particles and their optical scattering properties. The estimates were verified by field measurements in the Yellow Sea and Bohai Sea regions of China. This method provided good estimates of the average particle size (o), sorting, and kurtosis. A greater number of wavebands (39) was associated with more accurate particle size distribution curves. Furthermore, the method was used to monitor changes in suspended particulate matter in the vicinity of the Heini Bay of China before and after the passage of a strong storm in August 2011. The particle size parameters represented the influence of a strong typhoon on the distribution of the near-shore sediment and, together with the PSD slope, comprehensively reflected the changes in the near-shore suspended particulate matter. This method not only established the relationship between remote sensing monitoring and the historical sediment record, it also extends the power law model to the application of sediment source and dynamic processes in coastal waters.
资助项目National Natural Science Foundation of China (NSFC)[41976166] ; NSFC-Shandong Joint Fund for Marine Science Research Centers[U1606401]
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000565450500001
内容类型期刊论文
源URL[http://ir.qdio.ac.cn/handle/337002/168498]  
专题海洋研究所_海洋地质与环境重点实验室
通讯作者Liu, Yanxia; Huang, Haijun
作者单位1.Northeast Forestry Univ, Sch Forestry, Harbin 150040, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
5.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yanxia,Huang, Haijun,Yan, Liwen,et al. Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence[J]. REMOTE SENSING,2020,12(16):21.
APA Liu, Yanxia,Huang, Haijun,Yan, Liwen,Yang, Xiguang,Bi, Haibo,&Zhang, Zehua.(2020).Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence.REMOTE SENSING,12(16),21.
MLA Liu, Yanxia,et al."Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence".REMOTE SENSING 12.16(2020):21.
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