Coupling remote sensing retrieval with numerical simulation for SPM study—Taking Bohai Sea in China as a case

Chen, Xiaoling; Lu, Jianzhong; Cui, Tingwei; Jiang, Wensheng; Tian, Liqiao; Chen, Liqiong; Zhao, Wenjing

doi:10.1016/j.jag.2009.10.002

Cited by 37 publications

(13 citation statements)

References 26 publications

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“…4 [25]. These results agreed with many literatures [26][27][28]. The tidal currents in the Bohai Bay, the Liaodong Bay and the Laizhou Bay were all normally semi-diurnal tide, with a period of 12$13 h. Such a result was consistent with the work by Huang and Huang [29].…”

Section: Resultssupporting

confidence: 92%

Modelling of oil spill trajectory for 2011 Penglai 19-3 coastal drilling field, China

Liu

Guo

et al. 2015

Applied Mathematical Modelling

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Section: Resultssupporting

confidence: 92%

Modelling of oil spill trajectory for 2011 Penglai 19-3 coastal drilling field, China

Liu

Guo

et al. 2015

Applied Mathematical Modelling

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“…The environmental effects of dredging on the costal marine ecology are diverse, with dredging potentially resulting in either partial reduction or complete loss of marine habitat through the physical removal of substratum biota from the sub-sea surface and immediate burial due to sedimentation of the dredged materials [4]. Further, increase in turbidity caused by dredging significantly attenuates the amount of light reaching the benthic habitat for primary productivity [5–7]. The environmental cost of dredging and the need for coastal development poses a challenge to environmental monitoring agencies, marine ecologists and coastal infrastructure developers who aim to find a balance between the two [4].…”

Section: Introductionmentioning

confidence: 99%

Impact of the spatial resolution of satellite remote sensing sensors in the quantification of total suspended sediment concentration: A case study in turbid waters of Northern Western Australia

Dorji

Fearns

2017

PLoS ONE

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The impact of anthropogenic activities on coastal waters is a cause of concern because such activities add to the total suspended sediment (TSS) budget of the coastal waters, which have negative impacts on the coastal ecosystem. Satellite remote sensing provides a powerful tool in monitoring TSS concentration at high spatiotemporal resolution, but coastal managers should be mindful that the satellite-derived TSS concentrations are dependent on the satellite sensor’s radiometric properties, atmospheric correction approaches, the spatial resolution and the limitations of specific TSS algorithms. In this study, we investigated the impact of different spatial resolutions of satellite sensor on the quantification of TSS concentration in coastal waters of northern Western Australia. We quantified the TSS product derived from MODerate resolution Imaging Spectroradiometer (MODIS)-Aqua, Landsat-8 Operational Land Image (OLI), and WorldView-2 (WV2) at native spatial resolutions of 250 m, 30 m and 2 m respectively and coarser spatial resolution (resampled up to 5 km) to quantify the impact of spatial resolution on the derived TSS product in different turbidity conditions. The results from the study show that in the waters of high turbidity and high spatial variability, the high spatial resolution WV2 sensor reported TSS concentration as high as 160 mg L-1 while the low spatial resolution MODIS-Aqua reported a maximum TSS concentration of 23.6 mg L-1. Degrading the spatial resolution of each satellite sensor for highly spatially variable turbid waters led to variability in the TSS concentrations of 114.46%, 304.68% and 38.2% for WV2, Landsat-8 OLI and MODIS-Aqua respectively. The implications of this work are particularly relevant in the situation of compliance monitoring where operations may be required to restrict TSS concentrations to a pre-defined limit.

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“…The health of water systems is typically determined from a key indicator, the water clarity (turbidity) which is influenced by the amount of dissolved matter and total suspended solids (TSS) comprising organic matter such as algae and other micro-organisms and inorganic particulate matter from minerals [2]. Monitoring TSS along with other water quality parameters is crucial for coastal ecology because TSS can directly affect the turbidity and color of water [3] and turbidity determines the amount of light availability at depth for primary production [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Comparison of Total Suspended Sediment Algorithms: A Case Study of the Last Decade for MODIS and Landsat-Based Sensors

Dorji

Fearns

2016

Remote Sensing

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A quantitative comparative study was performed to assess the relative applicability of Total Suspended Solids (TSS) models published in the last decade for the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat-based sensors. The quantitative comparison was performed using a suite of statistical tests and HydroLight simulated data for waters ranging from clear open ocean case-1 to turbid coastal case-2 waters. The quantitative comparison shows that there are clearly some high performing TSS models that can potentially be applied in mapping TSS concentration for regions of uncertain water type. The highest performing TSS models tested were robust enough to retrieve TSS from different water types with Mean Absolute Relative Errors (MARE) of 69.96%-481.82% for HydroLight simulated data. The models were also compared in regional waters of northern Western Australia where the highest performing TSS models yielded a MARE in the range of 43.11%-102.59%. The range of Smallest Relative Error (SRE) and Largest Relative Error (LRE) between the highest and the lowest performing TSS models spanned three orders of magnitude, suggesting users must be cautious in selecting appropriate models for unknown water types.

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Coupling remote sensing retrieval with numerical simulation for SPM study—Taking Bohai Sea in China as a case

Cited by 37 publications

References 26 publications

Modelling of oil spill trajectory for 2011 Penglai 19-3 coastal drilling field, China

Modelling of oil spill trajectory for 2011 Penglai 19-3 coastal drilling field, China

Impact of the spatial resolution of satellite remote sensing sensors in the quantification of total suspended sediment concentration: A case study in turbid waters of Northern Western Australia

A Quantitative Comparison of Total Suspended Sediment Algorithms: A Case Study of the Last Decade for MODIS and Landsat-Based Sensors

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