scholarly journals Landsat Image-Based Retrieval and Analysis of Spatiotemporal Variation of Total Suspended Solid Concentration in Jiaozhou Bay, China

2021 ◽  
Vol 13 (23) ◽  
pp. 4796
Author(s):  
Xiang Zhang ◽  
Yu Song ◽  
Junjie Chen ◽  
Jue Huang
Keyword(s):  
Wind Speed ◽  
Influencing Factors ◽  
Significant Influence ◽  
Jiaozhou Bay ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Spatiotemporal Variation ◽  
Tidal Elevation ◽  
Suspended Solid Concentration

The total suspended solid (TSS) concentration (mg/L) is an important parameter of water quality in coastal waters. It is of great significance to monitor the spatiotemporal distribution and variation of TSS as well as its influencing factors. In this study, a quantitative retrieval model of TSS in Jiaozhou Bay (JZB) was established based on Landsat images from 1984 to 2020 (coefficient of determination (R2) = 0.77, root mean square error (RMSE) = 1.82 mg/L). In this paper, first, the long-term spatiotemporal variation of TSSs in JZB is revealed and, next, its influencing factors are further analyzed. The results show that the annual average TSSs in JZB reached their highest level in 1993 and their lowest level in 2016, showing a decreasing trend during the past decades. The TSSs were high in spring and winter and low in summer and autumn. The spatial distribution of the TSSs in JZB was similar at different timepoints, i.e., high in the northwest and gradually decreasing to the southeast. Tidal elevation exerted a significant influence on the daily variation of TSSs, and wind speed had a significant influence on the seasonal variation of TSSs. The Dagu River’s discharge only affected the TSSs at the river mouth. Tidal elevation, river discharge, and wind speed were major influence factors for TSSs’ variation in JZB. The results showed that the empirical model based on Landsat satellite data could be used to effectively monitor the long-term variation of TSSs in JZB.

scholarly journals TOTAL SUSPENDED SOLID DISTRIBUTION ANALYSIS USING SPOT-6 DATA IN SEGARA ANAKAN, CILACAP

2018 ◽  
Vol 5 (2) ◽  
pp. 177 ◽  
Author(s):  
Aisya Jaya Dhannahisvara ◽  
Hartono Harjo ◽  
Pramaditya Wicaksono ◽  
Ferman Setia Nugroho
Keyword(s):  
Chlorophyll A ◽  
Empirical Model ◽  
Field Data ◽  
Near Infrared ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Distribution Analysis ◽  
Chlorophyll A Concentration ◽  
Accuracy Test ◽  
Suspended Solid Concentration

Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in the emergence of various methods to estimate TSS concentration. SPOT-6 data has spatial, spectral, and temporal characteristics that can be used to estimate TSS concentration. The purposes of this research are (1) to determine the best method for estimating TSS concentration, (2) to map TSS distribution, and (3) to determine the correlation between TSS concentration and chlorophyll-a concentration using SPOT-6 data in Segara Anakan. The estimation of TSS concentration in this research was performed using empirical model built from SPOT-6 and TSS field data. Bands used in this research are single band data (blue, green, red, and near infrared) and transformed bands such as band ratio (12 combinations), Normalized Difference Suspended Solid Index (NDSSI), and Suspended Solid Concentration Index (SSC). The result shows that blue, green, red, and near infrared bands and SSC index significantly correlated to TSS. Afterwards, regression analysis was performed to determine the function that can be used to predict TSS concentration using SPOT-6 data. Regression function used are linear and non-linear (exponential, logarithmic, 2nd order polynomial, and power). The best model was chosen based on the accuracy assessment using Standard Error of Estimate (SE). The selected model was used to calculate total TSS concentration and was correlated with chlorophyll-a field data. The result of accuracy test shows that the model from blue band has an accuracy of 70.68 %, green band 70.68 %, red band 75.73 %, near infrared band 65.58 %, and SSC 73.67 %. The accuracy test shows that red band produced the best prediction model for mapping TSS concentration distribution. The total TSS concentration, which was calculated using red band empirical model, is estimated to be 6.13 t. According to the correlation test, TSS concentration in Segara Anakan has no significant correlation with chlorophyll-a concentration, with a coefficient correlation value of -0.265.

scholarly journals Influence of Rainfall Characteritics on Total Suspended Solid Concentration

2018 ◽  
Vol 1049 ◽  
pp. 012039
Author(s):  
N A Zuraini ◽  
N Alias ◽  
N Abd Rahman ◽  
S Harun ◽  
Z Ibrahim ◽  
...  
Keyword(s):  
Total Suspended Solid ◽  
Suspended Solid ◽  
Solid Concentration ◽  
Suspended Solid Concentration

Effect of substrate feeding on viscosity evolution of anaerobic granular sludges

2010 ◽  
Vol 62 (1) ◽  
pp. 132-139 ◽  
Author(s):  
A. Pevere ◽  
P. d'Abzac ◽  
E. van Hullebusch ◽  
P. N. L. Lens ◽  
G. Guibaud
Keyword(s):  
Divalent Cations ◽  
Suspended Solid ◽  
Surface Shape ◽  
Feeding Regime ◽  
Exopolymeric Substances ◽  
Physico Chemical ◽  
Suspended Solid Concentration ◽  
Substrate Feeding ◽  
Evolution Type

This work aims to describe the effect of the feeding regime of anaerobic activity tests on the limit viscosity (μlim) evolution of the granules. Batch experiments were performed with 3 different sources of substrate: acetate, peptone, and glucose. Despite, the substrate origin was shown to affect the μlim evolution of granules, no clear relationship was found between the μlim evolution, type of substrate and other granule physico-chemical characteristics (i.e. pH; % of Volatile Suspended Solid; concentration of exopolymeric substances, divalent cations, P and S). The origin of granules and the substrate feeding regime modify the surface shape of the granules and may change granule–granule interactions under a shear stress, thus affecting the evolution of the μlim value during long term reactor operation.

scholarly journals Characterization of total suspended solid dynamics in a large shallow lake using long‐term daily satellite images

2019 ◽  
Author(s):  
Keisuke Hoshikawa ◽  
Yoichi Fujihara ◽  
Sokly Siev ◽  
Seiya Arai ◽  
Takashi Nakamura ◽  
...  
Keyword(s):  
Shallow Lake ◽  
Satellite Images ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Large Shallow Lake ◽  
Solid Dynamics

scholarly journals Influence of Rainfall Spatial Distribution on Total Suspended Solid (TSS in Ci lutung Watershed

2018 ◽  
Vol 73 ◽  
pp. 03015
Author(s):  
Anis Taufik Ibrahim ◽  
Eko Kusratmoko
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Total Suspended Solid ◽  
Extraction Process ◽  
Suspended Solid ◽  
Spatial Distribution Pattern ◽  
Coefficient Of Determination ◽  
Solid Concentration ◽  
Suspended Solid Concentration ◽  
Rainfall Spatial Distribution

The study aims to analyze the influence of rainfall spatial distribution on total suspended solid and the connection between total suspended solid with river stream discharge on the condition of physical characteristics in Cilutung stream area, Majalengka regency. The extraction process of Himawari 8 Imagery used to find out the rainfall spatial distribution pattern while taking samples in April, 2018. Curve Number Data have the form of hydrologic soil groups and land use required to give score to each five sub-watershed that has been delineated for region physical characteristic. The Rainfall spatial distribution pattern has strong correlation with total suspended solid concentration generated through runoff discharge with coefficient of determination number r2 = 0,8416. The varied rainfall spatial distribution pattern take part to the occurrence of fluctuation of total suspended solid concentration with average 190 mg/l, and amount of total suspended sediment yield 820 kg/m3.

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