Evaluation of spatiotemporal differences in suspended sediment concentration derived from remote sensing and numerical simulation for coastal waters

被引:3
作者
Lu, Jianzhong [1 ,2 ]
Chen, Xiaoling [1 ]
Zhang, Pang [3 ]
Huang, Jue [4 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[2] Jiangxi Engn Res Ctr Water Engn Safety & Resource, Nanchang 330099, Jiangxi, Peoples R China
[3] Minist Water Resource & Chinese Acad Sci, Inst Hydroecol, Wuhan 430079, Peoples R China
[4] Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266510, Peoples R China
关键词
Remote sensing; Numerical simulation; Suspended sediment; Spatiotemporal difference; Bohai Sea; BOHAI SEA; SPM TRANSPORT; YELLOW-RIVER; TIDAL BAY; MATTER; MODEL;
D O I
10.1007/s11852-016-0491-3
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Remote sensing and numerical models are often used to monitor the suspended sediment concentration (SSC) in coastal waters; however, the derived SSC varies between the two methods in both space and time. In this study, a method was proposed to assess the spatiotemporal differences in SSC derived from Moderate Resolution Imaging Spectroradiometer (MODIS) images and numerical simulation for coastal waters, using the Bohai Sea in China as an example. An empirical model for SSC retrieval from remote sensed images was initially established. A comparison of the temporal synchronicity over a single day period was performed between the observed data and the numerically simulated results. The range in the SSC at different observation sites was significantly different. Both the SSC values and their daily variation ranges were larger near the estuary of the Yellow River compared with the open area due to the concurrence of tidal flow and the introduction of fresh river water with high turbidity near the estuary. The areas that exhibited spatial differences were defined according to their differences in remotely sensed and numerically simulated SSC distribution patterns. Finally, the reasons for these spatiotemporal differences were discussed. The results provided understanding into the spatiotemporal differences that were introduced when multi-source data were used, thus improving the accuracy of the results when monitoring coastal environments for the management of coastal conservation.
引用
收藏
页码:197 / 207
页数:11
相关论文
共 50 条
  • [31] Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade
    Loisel, Hubert
    Mangin, Antoine
    Vantrepotte, Vincent
    Dessailly, David
    Dat Ngoc Dinh
    Garnesson, Philippe
    Ouillon, Sylvain
    Lefebvre, Jean-Pierre
    Meriaux, Xavier
    Thu Minh Phan
    REMOTE SENSING OF ENVIRONMENT, 2014, 150 : 218 - 230
  • [32] Evaluation of Empirical and Semianalytical Spectral Reflectance Models for Surface Suspended Sediment Concentration in the Highly Variable Estuarine and Coastal Waters of East China
    Sokoletsky, Leonid
    Fang, Shen
    Yang, Xianping
    Wei, Xiaodao
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (11) : 5182 - 5192
  • [33] Remote sensing estimation of Chlorophyll a and suspended sediment concentration in turbid water based on spectral separation
    Cheng, Chunmei
    Wei, Yuchun
    Xu, Jianjun
    Yuan, Zhaojie
    OPTIK, 2013, 124 (24): : 6815 - 6819
  • [34] Estimation of sediment settling velocity in estuarine and coastal waters using optical remote sensing data
    Nasiha, Hussain J.
    Shanmugam, Palanisamy
    Sundaravadivelu, Ranganathan
    ADVANCES IN SPACE RESEARCH, 2019, 63 (11) : 3473 - 3488
  • [35] Study of morphology and suspended sediment of Bhopal Upper Lake using spatial simulation technique and remote sensing data
    Rao K.H.V.D.
    Singh A.K.
    Roy P.S.
    Journal of the Indian Society of Remote Sensing, 2009, 37 (3) : 433 - 441
  • [36] Study of Morphology and Suspended Sediment of Bhopal Upper Lake using Spatial Simulation Technique and Remote Sensing Data
    Rao, K. H. V. Durga
    Singh, Ambesh Kumar
    Roy, P. S.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2009, 37 (03) : 433 - 441
  • [37] Fishery Resource Evaluation with Hydroacoustic and Remote Sensing in Yangjiang Coastal Waters in Summer
    Yin, Xiaoqing
    Yang, Dingtian
    Zhao, Linhong
    Zhong, Rong
    Du, Ranran
    REMOTE SENSING, 2023, 15 (03)
  • [38] Quantitative Assessment on Multiple Timescale Features and Dynamics of Sea Surface Suspended Sediment Concentration Using Remote Sensing Data
    Zhou, Zhou
    Bian, Changwei
    Wang, Chenghao
    Jiang, Wensheng
    Bi, Rong
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2017, 122 (11) : 8739 - 8752
  • [39] Research on the coastal suspended sediment movement of Matakong Island in Guinea, Africa based on remote sensing data
    Cai, Yin
    Zhao, Hongbo
    Zuo, Shuhua
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 275 - 279
  • [40] Predicting suspended sediment concentration from nephelometric turbidity in organic-rich waters
    Bright, Christina E.
    Mager, Sarah M.
    Horton, Sophie L.
    RIVER RESEARCH AND APPLICATIONS, 2018, 34 (07) : 640 - 648