| Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence | |
Liu, Yanxia1,2,3; Huang, Haijun1,4; Yan, Liwen1; Yang, Xiguang5; Bi, Haibo1; Zhang, Zehua1
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| 2020-08-01 | |
| 发表期刊 | REMOTE SENSING
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| 卷号 | 12期号:16页码:21 |
| 通讯作者 | Liu, Yanxia(liuyanxia@qdio.ac.cn) ; Huang, Haijun(hjhuang@qdio.ac.cn) |
| 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. |
| 关键词 | slope of the power law PSD particle size parameters typhoon effect remote sensing reflectance coastal waters MODIS |
| DOI | 10.3390/rs12162581 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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 |
| WOS类目 | Remote Sensing |
| WOS记录号 | WOS:000565450500001 |
| 出版者 | MDPI |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/168499 |
| 专题 | 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.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China 5.Northeast Forestry Univ, Sch Forestry, Harbin 150040, Peoples R China |
| 第一作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
| 通讯作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
| 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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Particle Size Parame（4183KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 | |
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