气候变化领域集成服务门户(CCPortal): Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary; China during the past two decades based on time-series Landsat and Sentinel-2 data

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DOI	10.1016/j.marpolbul.2019.110518
	Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary; China during the past two decades based on time-series Landsat and Sentinel-2 data
	Li P.; Ke Y.; Bai J.; Zhang S.; Chen M.; Zhou D.
发表日期	2019
ISSN	0025326X
卷号	149
英文摘要	Twenty-two years of suspended particulate matter (SPM) concentrations in the Yellow River estuary and adjacent sea, China were derived from 532 Landsat and Sentinel 2A/B satellite images. Optimal SPM retrieval model was selected by comparing five state-of-art models using 79 in-situ datasets and recalibrated to ensure consistency among multiple-sensor-derived SPM concentrations. SPM in the estuary, in South Bohai Bay, and Laizhou Bay exhibited distinct temporal variations. 73% and 52% of the interannual and monthly SPM variations near the river mouth were explained by riverine water and sediment discharge, showing impact of the operation of the Xiaolangdi Reservoir and Water-Sediment Regulation Scheme. Land area accretion and erosion in river delta are associated with SPM variation. Riverine impacts on SPM rapidly declined off-shore because of the rapid deposition of the coarse-grain sediment. Ocean current and wind-wave forces explained high concentrations and intra-annual variations of SPM in the South Bohai Bay and Laizhou Bay. © 2019 Elsevier Ltd
英文关键词	Landsat satellite; River input; Sentinel-2 satellite; SPM; Yellow River Estuary
语种	英语
scopus关键词	Estuaries; Particles (particulate matter); Reservoirs (water); Satellites; Sediments; Landsat satellite; River input; Sediment discharge; Spatio-temporal dynamics; Suspended particulate matters; Temporal variation; Xiaolangdi reservoir; Yellow River Estuary; Rivers; annual variation; concentration (composition); estuarine pollution; estuary; Landsat; pollution incidence; pollution monitoring; satellite data; satellite imagery; Sentinel; spatiotemporal analysis; suspended particulate matter; time series analysis; Article; China; concentration (parameter); controlled study; environmental erosion; estuary; geographic distribution; river; spatiotemporal analysis; suspended particulate matter; time series analysis; water analysis; water quality; China; environmental monitoring; epidemiology; estuary; particulate matter; procedures; river; satellite imagery; sediment; spatiotemporal analysis; China; Shandong; Yellow River Estuary; China; Environmental Monitoring; Estuaries; Geologic Sediments; Interrupted Time Series Analysis; Particulate Matter; Rivers; Satellite Imagery; Spatio-Temporal Analysis
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149598
作者单位	Laboratory Cultivation Base of Environment Process and Digital Simulation, Capital Normal University, Beijing, 100048, China; State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China; College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
推荐引用方式 GB/T 7714	Li P.,Ke Y.,Bai J.,et al. Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary; China during the past two decades based on time-series Landsat and Sentinel-2 data[J],2019,149.
APA	Li P.,Ke Y.,Bai J.,Zhang S.,Chen M.,&Zhou D..(2019).Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary; China during the past two decades based on time-series Landsat and Sentinel-2 data.Marine Pollution Bulletin,149.
MLA	Li P.,et al."Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary; China during the past two decades based on time-series Landsat and Sentinel-2 data".Marine Pollution Bulletin 149(2019).