Environmental quality assessment of the St. Clair River as reflected by the distribution of benthic macroinvertebrates in 1985

1991 ◽  
pp. 143-164
Author(s):  
Ronald W. Griffiths
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Benthic Macroinvertebrates ◽  
Environmental Quality Assessment

scholarly journals Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques

2011 ◽  
Vol 38 (6) ◽  
pp. 6805-6813 ◽  
Author(s):  
Jorge Garcia-Gutierrez ◽  
Luis Gonçalves-Seco ◽  
Jose C. Riquelme-Santos
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Environmental Quality Assessment

The benthos community of the Billings Reservoir (São Paulo, Brazil) and its use in environmental quality assessment

1998 ◽  
Vol 26 (4) ◽  
pp. 2083-2087
Author(s):  
Monica L. Kuhlmann ◽  
Ana C. Truzzi ◽  
Guiomar Johnscher-Fornasaro
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Sao Paulo ◽  
São Paulo ◽  
Environmental Quality Assessment

Use of portable X-ray fluorescence spectrometry for environmental quality assessment of peri-urban agriculture

2011 ◽  
Vol 184 (1) ◽  
pp. 217-227 ◽  
Author(s):  
David C. Weindorf ◽  
Yuanda Zhu ◽  
Somsubhra Chakraborty ◽  
Noura Bakr ◽  
Biao Huang
Keyword(s):  
Quality Assessment ◽  
Urban Agriculture ◽  
Environmental Quality ◽  
Fluorescence Spectrometry ◽  
X Ray ◽  
Environmental Quality Assessment

scholarly journals URBAN ENVIRONMENTAL QUALITY ASSESSMENT BY SHAPE AND SPECTRAL INDICES OF MULBERRY LEAVES

2019 ◽  
Vol 7 (3) ◽  
pp. 184-205
Author(s):  
Snejana Dineva ◽  
Zlatin Zlatev
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Principal Components ◽  
Latent Variables ◽  
Support Vector ◽  
Mulberry Leaves ◽  
Environmental Quality Assessment ◽  
Mulberry Leaf ◽  
Vector Machines ◽  
Potential Use

In this paper, an analysis of the potential use of the surface and geometric characteristics of mulberry leaves as parameters for environmental quality assessment is made. Methods have been used to reduce the amount of data of latent variables, linear and kernel variants of principal components. It has been found that a kernel variant of the principal components, combined with nonlinear separating functions of discriminant analysis and a method of support vector machines, are an appropriate methods for distinguishing the degree of air pollution from the mulberry leaf data. The results obtained could be used as preliminary baseline data for future evaluations and studies related to remote monitoring of urban air quality.

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