Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary

Abstract

Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cubic retrieval model was developed for the retrieval of SSSC from Yellow River Estuary. Based on sediments and seawater collected from the Yellow River and southeastern Laizhou Bay, SSSC conditions were reproduced in the laboratory at increasing concentrations within a range common to field observations. Continuous spectrum measurements of the various SSSCs ranging from 1 to 5700 mg/l were carried out using an AvaField-3 spectrometer. The results indicated the good correlation between water SSSC and spectral reflectance (R rs) was obtained in the spectral range of 726-900 nm. At SSSC greater than 2700 mg/L, the 740-900 nm spectral range was less susceptible to the effects of spectral reflectance saturation and more suitable for retrieval of high sediment concentrations. The best correlations were obtained for the reflectance ratio of 820 nm to 490 nm. Informed by the correlation between R rs and SSSC, a retrieval model was developed (R 2 = 0.992). The novel cubic model, which used the ratio of a near-infrared (NIR) band (740-900 nm) to a visible band (400-600 nm) as factors, provided robust quantification of high SSSC water samples. Two high SSSC centers, with an order of 10 3 mg/l, were found in the inversion results around the abandoned Diaokou River mouth, the present Yellow River mouth to the abandoned Qingshuigou River mouth. There was little sediment exchange between the two high SSSC centers due to the directions of the residual currents and vertical mixing.

Evolution of Yellow River Delta Coastline Based on Remote Sensing from 1976 to 2014, China

“…Considering the coastline extraction methods used previously (the same tide height for the same month method, the mean low-tide line method, and the general high-tide line method), the general high-tide line method, combined with the practical situation and RS data, was chosen as the extraction method in this study. This method was based on a combination of RS image classification and visual interpretation, and was therefore simple, easy, and relatively accurate (Ghosh et al, 2015;Deng et al, 2017;Zhan et al, 2017).…”

“…Coastline change is caused by the joint action of natural and human factors. Natural factors are mainly influenced by sediment sources, marine hydrodynamic forces, and meteorology, and have a certain regularity and contingency, with the main effects occurring on the natural coastline (Wang et al, 2017). The erosion of the coast is largely a consequence of hydrodynamic factors, including tides, wave action, and storm tides.…”

“…The detection of coastline changes by satellite images and remote sensing (RS) methods has become increasingly important in recent decades because RS satellites provide digital imagery in the infrared spectral bands where the land-water interface is well defined (Cui and Li, 2011;Yang et al, 2017;Zhan et al, 2017). Furthermore, RS data can be integrated with a Geographic Information System (GIS) as an effective tool for analyzing and extracting more reliable and consistent informa-tion when using satellite imagery as base data (Xu et al, 2014;Di et al, 2015;Shi et al, 2015;Yang et al, 2015;Vespremeanu-Stroe et al, 2017).…”

Analisis Dinamika Tingkat Kekeruhan Dan Kedalaman Relatif Perairan Di Waduk Sutami Kabupaten Malang

“…Hal ini tidak dapat dilakukan dengan survei konvensional terestrial yang umumnya berlangsung lebih lama [21], [24]. Identifikasi hasil proses sedimentasi pada suatu obyek perairan dapat dilakukan dengan memanfaatkan respons spektral obyek perairan tersebut terhadap panjang gelombang tertentu [26]. Tingkat kekeruhan air merupakan faktor penting dan dominan yang dipertimbangkan dalam identifikasi kondisi perairan menggunakan penginderaan jauh [27], [28].…”

The Impact of Surface Wave on the Sediment Erosion and Deposition Near the Wellow River Mouth, China

“…The simulation indicates that most of the sediment deposited just out of the Mouth which makes the mouth move forward into the sea 2.5 km per year. Zhan (2017) developed the novel cubic model, which used the ratio of a near-infrared band (740-900 nm) to a visible band (400-600 nm) as factors, for the retrieval of SSSC from Yellow River Estuary. Wang et al (2019) used a three dimensional current-wave-sediment coupled model to examine the seasonal suspended sediment transport.…”