Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

Zeng, Ming; Jun, Peng; Jiang, Ling; Feng, Jingjuan Dove

doi:10.1109/access.2021.3089367

Cited by 6 publications

(7 citation statements)

References 35 publications

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“…The chosen linear model is an inversion algorithm tailored for high turbidity waters in Hangzhou Bay, with verified feasibility. The inversion of the distribution of suspended matter concentration in Hangzhou Bay is consistent with the distribution of suspended matter concentration in this area in previous studies [46,47].…”

Section: Inversion Model Of the Ssc In The Qiantang Riversupporting

confidence: 90%

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Twin Satellites HY-1C/D Reveal the Local Details of Astronomical Tide Flooding into the Qiantang River, China

Cai,

Zhang,

et al. 2024

Remote Sensing

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This article extracts the Qiantang River tidal bore, analyzing the water environment characteristics in front of the tidal line of the Qiantang River tidal bore and behind it. The Qiantang River tidal bore Index (QRI) was established using HY-1C, HY-1D, and Gao Fen-1 wide field-of-view (GF-1 WFV) satellite data to precisely determine the location and details of the Qiantang River tidal bore. Comparative analyses of the changes on the two sides of the Qiantang River tidal bore were conducted. The results indicate the following: (1) QRI enhances the visibility of tidal bore lines, accentuating their contrast with the surrounding river water, resulting in a more vivid character. QRI proves to be an effective extraction method, with potential applicability to similar tidal lines in different regions. (2) Observable roughness changes occur at the tidal bore location, with smoother surface textures observed in front of the tidal line compared to those behind it. There is a discernible increase in suspended sediment concentration (SSC) as the tidal bore passes through. (3) This study reveals the mechanism of water environment change induced by the Qiantang River tidal bore, emphasizing its significance in promoting vertical water body exchange as well as scouring the bottom sediments. This effect increases SSC and surface roughness.

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Section: Inversion Model Of the Ssc In The Qiantang Riversupporting

confidence: 90%

“…For high suspended sediment concentration water, such as Hangzhou Bay, the suspended sediment is sensitive to the red and NIR bands. However, it is not suitable for low suspended sediment concentration water [30,47].…”

Section: Inversion Model Of the Ssc In The Qiantang Rivermentioning

confidence: 99%

Twin Satellites HY-1C/D Reveal the Local Details of Astronomical Tide Flooding into the Qiantang River, China

Cai,

Zhang,

et al. 2024

Remote Sensing

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“…To better visualize the trend of lake area change, geometric alignment was carried out, using the 2010 remote sensing images as a benchmark for absolute radiation correction and FLASH atmospheric correction was used on the other six phases of images. The main methods for lake water body extraction are the thematic classification method [48,49], linear mixed model, single-band threshold method, and spectral water body index method [30,50,51]. Previous studies, through experimental evaluation of these methods, generally concluded that the traditional normalized difference water body index (NDWI) method is more effective in extracting water body information and can distinguish water body and non-water body information in remote sensing images to the maximum extent, but it is vulnerable to mountain shadows, snow and ice, and mist [31,34,[52][53][54][55][56][57][58].…”

Section: Data Collectionmentioning

confidence: 99%

“…In terms of innovation, this paper is the first to study the sediment content of dammed lakes. With the development of remote sensing for lakes, remote sensing technology has been widely used for highland lake change and sea, estuarine and near-shore, lake suspended sediment monitoring studies, and many mature suspended sediment quantitative remote sensing inversion models have been established [27][28][29][30][31][32][33]. In the study of lake changes, multispectral optical remote sensing images such as Landsat MSS/TM/ETM+/OLI, Gaofen series satellites (GF-1/2), and Sentinel data (Sentine-2) have been used for the monitoring of lake area changes on the Qinghai-Tibet Plateau since the 1970s, among which, the Landsat data series are most widely used because they provide more high-quality free data [34].…”

Section: Introductionmentioning

confidence: 99%

Changes in the Hydrological Characteristics of the Attabad Landslide-Dammed Lake on the Karakoram Highway

Li,

Yang,

et al. 2024

Water

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Understanding the evolving hydrological characteristics of landslide-induced barrier lakes is crucial for flood control, forecasting, early warning, and safety measures in reservoir areas. This study examines the changes in the hydrological characteristics of the Attabad landslide-dammed lake over the past decade after the occurrence of the landslide, focusing on lake area dynamics and sediment concentration. High-resolution satellite images from QuickBird, Pleiades, and WorldView2 over seven periods were analyzed. The findings indicate that the lake area has gradually decreased, with the center of mass shifting towards the lake dam, indicating a trend towards stability. The suspended sediment in the barrier lake is distributed in a strip running from north to south, then northeast to southwest, with the sediment concentration decreasing from the lake entrance to the dam and from the lake bank to the center. Over time, the average sediment concentration has decreased from 2010 to 2020, with higher concentrations in summer than in winter. Notably, during the 2017–2020 period, the lower-middle parts of the lake experienced a higher sediment concentration, while the dam area witnessed lower concentrations, thereby reducing the sediment impact on the dam. Furthermore, the sediment content in the middle of the dammed lake is relatively high, which may lead to the formation of a new dammed dam in the middle and the division of the original dammed lake into two smaller lakes, which will affect the stability of the dammed lake.

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“…Within literature, multiple methods for measuring the sediment concentration within the ocean have been demonstrated. Such efforts include satellite sensing [6], [7] where multiple sensors transfer all the data back to a master controller. Other methods utilise RFID tags [8] but suffer from poor resolution and high power consumption.…”

Section: Introductionmentioning

confidence: 99%

Development of a Non-Cloggable Subsea Data Logger for Harsh Turbidity Current Monitoring

Bradley,

Ruffell,

Talling

et al. 2023

OCEANS 2023 - Limerick

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Large submarine flows of sediment (sand and mud), known as turbidity currents, transfer and bury significant amounts of organic carbon and pollutants to the deep sea via submarine canyons. They are also significant geohazards, regularly breaking networks of seabed telecommunications cables that carry > 99% of global data that underpin the internet. Despite this, key parameters (notably their sediment concentration) in these flows are yet to be directly measured in real-time due to their inherently harsh environment that is unsuitable for commercial conductivity sensors. To address this issue, a subsea datalogger (SSDL) is developed with a planar conductivity sensor head that can measure the sediment concentration within dense turbidity currents. Unlike conventional sensors, the planar design of the SSDL's sensor prevents clogging at high sediment concentrations, allowing for continuous measurements within turbidity currents. The conductivity sensor is developed with a temperature sensor which is measured using an external 16-Bit ADC which is controlled with a SAMD21 32-Bit ARM microcontroller. The SSDL measures the temperature and the conductivity of the seawater once every 4 seconds for over a year. In an initial device test, the SSDL can record a turbidity current within the Bute Inlet, Canada. It is found that the seawater's conductivity increases with salinity concentration and decreases with sediment concentration. The SSDL developed here can thus be used for both conventional subsea datalogging applications and high turbidity current applications.

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Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

Cited by 6 publications

References 35 publications

Twin Satellites HY-1C/D Reveal the Local Details of Astronomical Tide Flooding into the Qiantang River, China

Twin Satellites HY-1C/D Reveal the Local Details of Astronomical Tide Flooding into the Qiantang River, China

Changes in the Hydrological Characteristics of the Attabad Landslide-Dammed Lake on the Karakoram Highway

Development of a Non-Cloggable Subsea Data Logger for Harsh Turbidity Current Monitoring

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