Human impact on suspended particulate matter in the Yellow River Estuary, China: Evidence from remote sensing data fusion using an improved spatiotemporal fusion method

Peng Li; Yinghai Ke; Dawei Wang; Hongyu Ji; Shenliang Chen; Mengmeng Chen; Mingyuan Lyu; Demin Zhou

doi:10.1016/j.scitotenv.2020.141612

Human impact on suspended particulate matter in the Yellow River Estuary, China: Evidence from remote sensing data fusion using an improved spatiotemporal fusion method

Sci Total Environ. 2021 Jan 1:750:141612. doi: 10.1016/j.scitotenv.2020.141612. Epub 2020 Aug 11.

Authors

Peng Li¹, Yinghai Ke², Dawei Wang³, Hongyu Ji⁴, Shenliang Chen⁴, Mengmeng Chen¹, Mingyuan Lyu¹, Demin Zhou⁵

Affiliations

¹ College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.
² College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China; Laboratory Cultivation Base of Environment Process and Digital Simulation, Capital Normal University, Beijing 100048, China. Electronic address: yke@cnu.edu.cn.
³ State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China.
⁴ State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China.
⁵ College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China; Laboratory Cultivation Base of Environment Process and Digital Simulation, Capital Normal University, Beijing 100048, China. Electronic address: zhoudemin@cnu.edu.cn.

PMID: 33182189
DOI: 10.1016/j.scitotenv.2020.141612

Abstract

Transport of suspended particulate matter (SPM) in estuarine waters plays an important role in regulating erosion-accretion and biogeochemical processes. In the Yellow River Estuary (YRE), artificial water and sediment regulation scheme (WSRS) and coastal engineering structures are the 2 typical anthropogenic activities affecting the spatiotemporal dynamics of estuarine SPM. The monitoring of SPM transport affected by such human activities requires SPM mapping at both high spatial and high temporal resolutions. In this study, we presented an improved Flexible Spatiotemporal Data Fusion (FSDAF) strategy with consideration of highly dynamic SPM variations in estuarine waters, and generated 30-m hourly SPM concentrations based on Landsat 8 OLI and GOCI datasets. The new strategy produced higher SPM estimation accuracy than the original FSDAF, with the relative percentage difference (RPD) decreasing from 29.75% to 5.31% using GOCI-derived hourly SPM as reference. With in situ SPM measurements as reference, the fused SPM concentrations had an RMSE of 12.09 mg/L and an RPD of 27.17%. Investigation of interday SPM variations before, during, and after the WSRS in 2018 revealed that the first WSRS significantly increased the SPM concentration and plume extent; new wetland with an area of 12.56 km² was formed due to sediment accretion near the river mouth. The two groins offshore from the coastlines on the north and south sides of YRE exhibited obvious sediment trapping effects in that higher SPM concentrations on one side of each groin were found regardless of the turbidity modes and diurnal SPM variations; the trapping effects were associated with the number of groins and groin length. Intraday variations of SPM were influenced by tidal currents, with plume direction following the ebb and flooding tidal current direction. The inter- and intraday characteristics of the 30-m hourly SPM dynamics facilitate the detailed analysis of the sediment transport associated with human activities.

Keywords: GOCI; Landsat; Sentinel-2; Spatiotemporal remote sensing data fusion; Suspended particulate matter; Yellow River Estuary.