Particle backscattering efficiency as an indicator of suspended particle composition and size in the Pearl River Estuary

被引:0
|
作者
Deng, Lin [2 ]
Hu, Shuibo [1 ]
Chen, Siyu [2 ]
Zeng, Xiyuan [2 ]
Wang, Zuomin [3 ]
Liu, Shuaiwei [4 ,5 ,6 ,7 ]
机构
[1] Univ Elect Sci & Technol China, Shenzhen Inst Adv Study, Shenzhen 518110, Peoples R China
[2] Sun Yat sen Univ, Sch Marine Sci, Zhuhai 519082, Guangdong, Peoples R China
[3] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[4] Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518060, Peoples R China
[5] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China
[6] Shenzhen Univ, Guangdong Hong Kong Macau Joint Lab Smart Cities, Hong Kong 518060, Guangdong, Peoples R China
[7] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
PARTICULATE ORGANIC-CARBON; BIOOPTICAL PROPERTIES; OPTICAL-PROPERTIES; WATERS; MODEL; OCEAN; VARIABILITY; SCATTERING; MATTER; COLOR;
D O I
10.1016/j.marpolbul.2024.117189
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particle backscattering efficiency (Qbbe(lambda)) relates closely to particle type and links light backscattering with biogeochemical properties. However, knowledge gaps about Qbbe(lambda) persist in the Pearl River Estuary (PRE). We measured Qbbe(lambda) within the three transects in the PRE and investigated its relationships with particle composition and size. The results show that particle size influences Qbbe(lambda) more than composition. Vertical heterogeneity of Qbbe(lambda) was observed; high Qbbe(lambda) values spanned vertical columns due to dynamic river-sea interactions, showing distinct layers with higher concentrations at the surface and bottom, but lower mid- layer values unaffected by rivers. Transects influenced by river discharge showed elevated Qbbe(lambda) due to high inorganic particle inputs, while coastal currents influenced bottom values via sediment resuspension. This enhanced understanding of Qbbe(lambda)'s spatial-temporal variations in the South China Sea is vital for better predicting particle characteristics from optical data.
引用
收藏
页数:9
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