SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Remote sensing of the impacts of construction in coastal waters on suspended particulate matter concentration - the case of the Yangtze River delta, China
Cai, Lina; Tang, Danling; Levy, Gad; Liu, Dongyan; Tang, DL (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou 510301, Guangdong, Peoples R China.; Tang, DL (reprint author), Univ Chinese Acad Sci, Sch Ocean Sci, Beijing 100049, Peoples R China.; Tang, DL (reprint author), Collaborat Innovat Ctr 21st Century Maritime Silk, Guangzhou, Guangdong, Peoples R China.
2016
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
Volume37Issue:9Pages:2132-2147
AbstractThis study investigates the capability of high-spatial resolution Landsat Thematic Mapper (TM) data to sense and document suspended particulate matter concentration (SPMC) variability resulting from the influence of large structures in coastal waters. Two bridges, located in the coastal waters of the Yangtze River delta, are used as examples. A new SPMC inverse model, relating SPMC to TM optical properties through linear regression in the red and near-infrared bands, is developed. In total, 780 samples and 30 transects taken between 2006 and 2011 were used to compare and contrast SPMC at locations upstream and downstream of the bridges. The comparisons show: (i) within a distance of 0.3 km downstream from the bridges, SPMC mostly increased by 3-60% (8.40-176.29 mg l(-1)); (ii) when SPMC values upstream were low (<300 mg l(-1)), the increase in SPMC extended to 3.0-6.5 km downstream; (iii) under conditions of high turbidity (>400 mg l(-1)) upstream, decreases in SPMC were observed in 0.3-6.5 km downstream. The bridges influenced SPMC by blocking the transport of upstream suspended particulate matter (deposition) and through stirring of the sediments near the base of their piers (resuspension). The results can be generalized to other offshore engineering structures.
Department[Cai, Lina] ZheJiang Ocean Univ, Sch Marine Sci, Zhoushan 316022, Zhejiang, Peoples R China; [Cai, Lina; Tang, Danling; Levy, Gad] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou 510301, Guangdong, Peoples R China; [Cai, Lina; Tang, Danling; Levy, Gad] Univ Chinese Acad Sci, Sch Ocean Sci, Beijing 100049, Peoples R China; [Tang, Danling; Liu, Dongyan] Collaborat Innovat Ctr 21st Century Maritime Silk, Guangzhou, Guangdong, Peoples R China; [Levy, Gad] NW Res Associates Inc, Seattle, WA 98052 USA; [Liu, Dongyan] Chinese Acad Sci, Yantai Inst Costal Zone Res, Yantai 264003, Peoples R China ; LTO
Subject AreaRemote Sensing ; Imaging Science & Photographic Technology
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/15580
Collection热带海洋环境国家重点实验室(LTO)
Corresponding AuthorTang, DL (reprint author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou 510301, Guangdong, Peoples R China.; Tang, DL (reprint author), Univ Chinese Acad Sci, Sch Ocean Sci, Beijing 100049, Peoples R China.; Tang, DL (reprint author), Collaborat Innovat Ctr 21st Century Maritime Silk, Guangzhou, Guangdong, Peoples R China.
Recommended Citation
GB/T 7714
Cai, Lina,Tang, Danling,Levy, Gad,et al. Remote sensing of the impacts of construction in coastal waters on suspended particulate matter concentration - the case of the Yangtze River delta, China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016,37(9):2132-2147.
APA Cai, Lina.,Tang, Danling.,Levy, Gad.,Liu, Dongyan.,Tang, DL .,...&Tang, DL .(2016).Remote sensing of the impacts of construction in coastal waters on suspended particulate matter concentration - the case of the Yangtze River delta, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,37(9),2132-2147.
MLA Cai, Lina,et al."Remote sensing of the impacts of construction in coastal waters on suspended particulate matter concentration - the case of the Yangtze River delta, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.9(2016):2132-2147.
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