Methods of Retrieving Suspended Particulate Matter Concentration in Sea Reclamation Area with Satellite Remote Sensing

被引：0
|
作者：
Song N. [1 ,2 ]
Wang N. [3 ]
Wu N. [3 ]
Lin W. [3 ]
机构：
[1] Institute of Bohai Sea, National Marine Environmental Monitoring Center, Dalian
[2] State Environmental Protection Key Laboratory of Marine Ecological Environment Restoration, Dalian
[3] College of Transportation Engineering, Dalian Maritime University, Dalian
来源：
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2020年 / 28卷 / 05期
关键词：
Monitoring; Neutral network; Reclamation; Remote sensing; Space-time distribution; Suspended particulate matter;
D O I：
10.16058/j.issn.1005-0930.2020.05.009
中图分类号：
学科分类号：
摘要：
This paper aimed to explore an effective way to monitor suspended particulate matter concentration (SPMC) in sea reclamation area (SRA) with satellite remote sensing. Traditional regression algorithms and an artificial neural network (ANN) were used to develop the retrieval model for SPMC in SRA. Through the validation with in-situ water samples, the ANN model has a superior performance with a coefficient determination (R2) of 0.95 and mean relative error (MRE) of 30%, while other models have an inferior performance with MRE of 120%. This phenomenon is mainly caused by the optical characteristics of SRA. Using the developed ANN model, the retrieval results revealed that, the SPMC in the SRA during 2010~2015 changes seasonally with higher in winter and lower in summer; the higher SPMC is found around the construction site, while the lower values were found in the far offshore regions. The distribution pattern of SPMC in the SRA is mainly caused by the reclamation construction, wind force and tidal current directions. © 2020, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.
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页码：1108 / 1121
页数：13
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