Detection of Ruditapes Philippinarum contaminated by heavy metals based on hyperspectral image and multilayer perceptron

2021 ◽  
Author(s):  
Fu Qiao ◽  
Bolin Hao ◽  
Yao Liu
Keyword(s):  
Heavy Metals ◽  
Multilayer Perceptron ◽  
Hyperspectral Image ◽  
Ruditapes Philippinarum

scholarly journals Modeling of Heavy Metal (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and PAH Content in Stormwater Sediments Based on Weather and Physico-Geographical Characteristics of the Catchment-Data-Mining Approach

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 626 ◽  
Author(s):  
Łukasz Bąk ◽  
Bartosz Szeląg ◽  
Aleksandra Sałata ◽  
Jan Studziński
Keyword(s):  
Heavy Metals ◽  
Neural Networks ◽  
Multilayer Perceptron ◽  
Sediment Quality ◽  
Drainage System ◽  
Chemical Properties ◽  
Absolute Error ◽  
Atmospheric Conditions ◽  
Drainage Systems ◽  
Catchment Characteristics

The processes that affect sediment quality in drainage systems show high dynamics and complexity. However, relatively little information is available on the influence of both catchment characteristics and meteorological conditions on sediment chemical properties, as those issues have not been widely explored in research studies. This paper reports the results of investigations into the content of selected heavy metals (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and polycyclic aromatic hydrocarbons (PAHs) in sediments from the stormwater drainage systems of four catchments located in the city of Kielce, Poland. The influence of selected physico-geographical catchment characteristics and atmospheric conditions on pollutant concentrations in the sediments was also analyzed. Based on the results obtained, statistical models for forecasting the quality of stormwater sediments were developed using artificial neural networks (multilayer perceptron neural networks). The analyses showed varied impacts of catchment characteristics and atmospheric conditions on the chemical composition of sediments. The concentration of heavy metals in sediments was far more affected by catchment characteristics (land use, length of the drainage system) than atmospheric conditions. Conversely, the content of PAHs in sediments was predominantly affected by atmospheric conditions prevailing in the catchment. The multilayer perceptron models developed for this study had satisfactory predictive abilities; the mean absolute error of the forecast (Ni, Mn, Zn, Cu, and Pb) did not exceed 21%. Hence, the models show great potential, as they could be applied to, for example, spatial planning for which environmental aspects (i.e., sediment quality in the stormwater drainage systems) are accounted.

scholarly journals Application of hyperspectral imaging technology for rapid identification of Ruditapes philippinarum contaminated by heavy metals

RSC Advances ◽  
2021 ◽  
Vol 11 (54) ◽  
pp. 33939-33951
Author(s):  
Yao Liu ◽  
Fu Qiao ◽  
Shuwen Wang ◽  
Runtao Wang ◽  
Lele Xu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Hyperspectral Imaging ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Rapid Identification ◽  
Ruditapes Philippinarum ◽  
Imaging Technology ◽  
Training Samples ◽  
Pattern Recognition Analysis

Combined with pattern recognition analysis hyperspectral imaging technology can be used to identify heavy metal contamination in Ruditapes philippinarum rapidly and non-destructively, even with only a small number of training samples.

Bioaccumulation and Toxicity of Dissolved Heavy Metals from the Guadalquivir Estuary After the Aznalcóllar Mining Spill Using Ruditapes philippinarum

2005 ◽  
Vol 48 (2) ◽  
pp. 233-241 ◽  
Author(s):  
M. Laura Martín-Díaz ◽  
Julián Blasco ◽  
Marisa González de Canales ◽  
Diego Sales ◽  
T. Ángel DelValls
Keyword(s):  
Heavy Metals ◽  
Ruditapes Philippinarum ◽  
Guadalquivir Estuary ◽  
Dissolved Heavy Metals

THE INFLUENCE OF pH AND SALINITY ON THE TOXICITY OF HEAVY METALS IN SEDIMENT TO THE ESTUARINE CLAM RUDITAPES PHILIPPINARUM

2004 ◽  
Vol 23 (5) ◽  
pp. 1100 ◽  
Author(s):  
Inmaculada Riba ◽  
T. Ángel DelValls ◽  
Jesús M. Forja ◽  
Abelardo Gómez-Parra
Keyword(s):  
Heavy Metals ◽  
Ruditapes Philippinarum ◽  
Influence Of Ph
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