scholarly journals Environmental quality assessment of Jian River Basin(Guangdong) based on fish biotic integrity index

2015 ◽  
Vol 27 (4) ◽  
pp. 679-685
Author(s):  
GAO Xingchen ◽  
◽  
ZHANG Qun ◽  
HAN Boping ◽  
XUE Dan ◽  
...  
Keyword(s):  
Quality Assessment ◽  
River Basin ◽  
Environmental Quality ◽  
Biotic Integrity ◽  
Environmental Quality Assessment ◽  
Integrity Index ◽  
Biotic Integrity Index

scholarly journals Effect of environmental quality and mesohabitat structure on a Biotic Integrity Index based on fish assemblages of cerrado streams from Rio Cuiabá basin, Brazil

2011 ◽  
Vol 71 (3) ◽  
pp. 577-586 ◽  
Author(s):  
NG Machado ◽  
EM. Venticinque ◽  
J. Penha
Keyword(s):  
Environmental Quality ◽  
Fish Assemblages ◽  
Index Of Biotic Integrity ◽  
Biotic Integrity ◽  
Spearman Correlation ◽  
Aquatic Habitats ◽  
Integrity Index ◽  
Negative Impacts ◽  
Composition Structure ◽  
Biotic Integrity Index

Over the last 30 years, the Cerrado has been experiencing various antropic impacts that have brought about alterations to species composition, structure and functioning of aquatic habitats. Therefore, studies on negative impacts are useful to prevent future damage and restore environmental quality. The objectives of our study were: i) to adapt an index of biotic integrity of streams in the Rio Cuiabá Basin and ii) to analyze if the Index of Biotic Integrity (IBI) correlated with the environmental quality measured by the Index of Environmental Quality (IEQ) and with the mesohabitat structure. We sampled 26 streams in sub-basins of the Cuiabá River. In each stream, we closed a stretch of 50 m with blockage nets and used electrofishing to capture fish. To obtain a measure of environmental quality in sampled units, we characterized the stream and its micro basin. For the analyses, we used the Spearman Correlation, Kruskal-Wallis test and Analysis of Multiple Regression. We collected 697 individuals distributed into 6 orders, 15 families and 49 species. The IBI followed changes on environmental quality measured by IEQ when we removed streams that present natural barriers from the analysis (r² = 0.4; r² = 0.58). Types of land use did not affect the biotic integrity (n = 26; df = 4; H = 4,860; p = 0.302), but natural and artificial barriers affected it (n = 26; df = 4; H = 11,027; p = 0.026). The IBI was not sensitive to variations in mesohabitat structure (F2,23 = 0.373; r² = 0.031; Axe 1 p = 0.620; Axe 2 p = 0.490). The IBI is certainly a reasonable instrument for evaluating changes in the environment, but we cannot ignore the fact that we were able to obtain the same result with any combinations of metrics. This makes its analysis and interpretation difficult.

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

scholarly journals Development and evaluation of the Lake Multi-biotic Integrity Index for Dongting Lake, China

2015 ◽  
Author(s):  
Xing Wang ◽  
Binghui Zheng ◽  
Lusan Liu ◽  
Lijing Wang
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Aquatic Organisms ◽  
Dongting Lake ◽  
Assessment System ◽  
Biotic Integrity ◽  
Diatom Index ◽  
Integrity Index ◽  
Biotic Integrity Index

<p>A Lake Multi-biotic Integrity Index (LMII) for the China’s second largest interior lake (Dongting Lake) was developed to assess the water quality status using algal and macroinvertebrate metrics. Algae and benthic macroinvertebrate assemblages were sampled at 10 sections across 3 subregions of Dongting Lake. We used a stepwise process to evaluate properties of candidate metrics and selected ten for the LMII: Pampean diatom index, diatom quotient, trophic diatom index, relative abundance diatoms, Margalef index of algae, percent sensitive diatoms, % facultative individuals, % Chironomidae individuals, % predators individuals, and total number of macroinvertebrate taxa. We then tested the accuracy and feasibility of the LMII by comparing the correlation with physical-chemical parameters. Evaluation of the LMII showed that it discriminated well between reference and impaired sections and was strongly related to the major chemical and physical stressors (r = 0.766, P&lt;0.001). The re-scored results from the 10 sections showed that the water quality of western Dongting Lake was good, while that of southern Dongting Lake was relatively good and whereas that of eastern Dongting Lake was poor. The discriminatory biocriteria of the LMII are suitable for the assessment of the water quality of Dongting Lake. Additionally, more metrics belonging to habitat, hydrology, physics and chemistry should be considered into the LMII, so as to establish comprehensive assessment system which can reflect the community structure of aquatic organisms, physical and chemical characteristics of water environment, human activities, and so on.</p>

Development and Validation of an Estuarine Biotic Integrity Index

Estuaries ◽  
1997 ◽  
Vol 20 (3) ◽  
pp. 601 ◽  
Author(s):  
Linda A. Deegan ◽  
John T. Finn ◽  
Suzanne G. Ayvazian ◽  
Cheryl A. Ryder-Kieffer ◽  
John Buonaccorsi
Keyword(s):  
Biotic Integrity ◽  
Integrity Index ◽  
Development And Validation ◽  
Biotic Integrity Index

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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