New sensitivity grades for Australian river macroinvertebrates

2003 ◽  
Vol 54 (2) ◽  
pp. 95 ◽  
Author(s):  
Bruce C. Chessman

The SIGNAL biotic index for river macroinvertebrates, originally developed and tested in eastern Australia, was revised for application to the entire continent. Macroinvertebrate survey data from the National River Health Program were used to set grade numbers between 1 and 10 to represent the water-quality sensitivities of 210 taxa. Grades were assigned at the taxonomic levels customarily used by government agencies (predominantly family level) and by community groups (mainly order). A new index version using these grades, SIGNAL2, was correlated with water temperature, turbidity, electrical conductivity, alkalinity, pH, dissolved oxygen, total nitrogen and total phosphorus. Because of natural spatial variation in water quality, index scores need to be interpreted in a local context or against site-specific predictions generated by the Australian River Assessment System (AUSRIVAS).

2015 ◽  
Vol 10 (1) ◽  
pp. 296-304 ◽  
Author(s):  
Arpita Dalal ◽  
Susmita Gupta

Investigation on the water quality of the floodplain wetland, Magura through rapid assessment survey using aquatic insects for the four seasons had been done during 2013-14. Aquatic insects were collected from the two sites and were identified up to family level. All together 5 orders (Hemiptera, Coleoptera, Odonata, Ephemeroptera and Diptera) and 21 families had been recorded from the wetland. 17 families from site 1 (Hemiptera- 7 families, Coleoptera- 4 families, Odonata- 3 families, Ephemeroptera- 1 family and Diptera- 2 families) and 18 families from site 2 (Hemiptera- 6 families, Coleoptera- 6 families, Odonata- 2 amilies, Ephemeroptera- 1 family and Diptera- 3 families) were recorded. Four family level biotic indices- SIGNAL 2, ASPT, BMWP and FBI had been used to determine the status of the water quality. According to SIGNAL 2 and BMWP scores it was moderately polluted, whereas ASPT showed doubtful quality but FBI proved very good (site 1) and good water condition (site 2). This study revealed that only one biotic index cannot give proper justification of the water quality status of a wetland.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Abrehet Kahsay Mehari ◽  
Shewit Gebremedhin ◽  
Belayneh Ayele

The study was conducted in 2013/14 with the objective of determining the effects of Bahir Dar textile factory effluents on the head of Blue Nile River water quality. Dissolve oxygen was higher at the upstream site of the river, whereas BOD5, TDS, and total alkalinity values were higher at wastewater outlet of the factory site. The mean values of dissolved oxygen, BOD5, and total alkalinity were above maximum permissible limits set by WHO for drinking water at head of Blue Nile River. The mean value of BOD5 was above permissible limit of IFC for textile effluents to be discharged to surface water. A total of 836 aquatic macroinvertebrate individuals belonging to 21 families were collected. The Shannon-Wiener Diversity Index, the Hilsenhoff family-level biotic index, family richness, and percent dipterans were calculated. Hilsenhoff family-level biotic index and percent dipterans metrics differed significantly among sampling sites(P<0.05). Hilsenhoff family-level biotic index was higher at the most downstream site but percent dipterans were higher at site of discharge of effluent to the head of Blue Nile River. Therefore, there is indication that effluent demands frequent control and proper treatment before being discharged to the environment.


2015 ◽  
Vol 2 (0) ◽  
pp. 9781780404028-9781780404028
Author(s):  
D. R. J. Moore ◽  
A. Pawlisz ◽  
R. Scott Teed

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 749
Author(s):  
Yuan Gao ◽  
Zini Lai ◽  
Chao Wang ◽  
Haiyan Li ◽  
Yongzhan Mai

Water pollution can be monitored through the use of indicator species, including Brachionus calyciflorus. To do this, it is necessary to understand the species’ population ecology. Four surveys of zooplankton were conducted in May, August, and December 2018 and February 2019 in the Pearl River Delta, China, to examine the population characteristics of B. calyciflorus. The temporal and spatial distribution of abundance, biomass, dominance, and occurrence frequency were compared with those from 2012 to investigate the relationship between changes in the population of B. calyciflorus and environmental factors. The average abundance, dominance, and occurrence of B. calyciflorus in this survey were significantly higher than those of 2012 in all seasons. Principal component analysis showed that environmental factors such as the temperature, transparency, total nitrogen, and total phosphorus of water had a major impact on the abundance of B. calyciflorus. There was a significant positive correlation with transparency, total nitrogen, and total phosphorus of water, and a very significant positive correlation with water temperature. Overall, these results demonstrated that the distribution characteristics of B. calyciflorus can reflect pollution in water bodies and can be used to evaluate water quality. These research results provide a reference for evaluating China’s river health and can help to manage water quality in the Pearl River Delta.


2009 ◽  
Vol 2009 (6) ◽  
pp. 984-1006
Author(s):  
Karen Cowan ◽  
Earl Byron ◽  
Samuel Luoma ◽  
Theresa Presser ◽  
Gary Santolo ◽  
...  

2017 ◽  
Vol 44 (6) ◽  
pp. 864-874 ◽  
Author(s):  
Li-Na Du ◽  
Yan-E Jiang ◽  
Xiao-Yong Chen ◽  
Jun-Xing Yang ◽  
David Aldridge

Author(s):  
Xing Wang ◽  
Binghui Zheng ◽  
Lusan Liu ◽  
Lijing Wang

<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>


2021 ◽  
Author(s):  
Andri Wibowo

AbstractUrban lake is one of ecosystem that has experienced anthropogenic pressures and this can affect its water quality. One of a robust approach to assess the water quality is by using Hilsenhoff Biotic Index (HBI). This tool is quite versatile since it can be applied by using any aquatic organism as proxy including macrozoobenthos. This invertebrate group also has an advantage since it is common and easy to collect. Here this study is first, aiming to provide HBI based water quality spatial model using macrozoobenthos as a proxy applied in urban lake in West Java in Southeast Asia and second to seek the best model that can represent the water quality variables in particular dissolved oxygen (DO), pH, and temperature. Based on the spatial model and HBI, either inlet or outlet parts of the lake, it has better water quality in comparison to central parts. Based on HBI values, water quality in inlet and outlet parts (HBI = 6.7) is categorized as fair and poor (HBI = 6.9) for the central parts of the lake. The increase in HBI and decrease in water quality are positively correlated with the increase in water temperature variable in comparison to water DO and pH variables. Akaike model selection confirms that the macrozoobenthos diversity can be used as a proxy for increase in water temperature (Ψ)HBI (~temp)(AIC = −10.264) followed by combination of water temperature increase and decrease in DO(Ψ)HBI (~temp+DO)(AIC = −9.042398).


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