Evaluation of aquatic ecosystem health via benthic macroinvertebrates and physicochemical parameters in the northern Sahara, Algeria

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This study aims to assess the ecological integrity of water habitats in the northern Sahara of Algeria, utilizing a multiparametric approach focused on the ecology of benthic macroinvertebrates. To monitor the water quality, benthic macroinvertebrates and physicochemical parameters were analyzed monthly from August 2015 to November 2017 throughout five aquatic ecosystems: Z’mor w adi, Ithel w adi, Djedi w adi, Ayata l ake, and Megarine l ake. The physicochemical analysis results indicate that the pH values at the research sites ranged from mildly alkaline to alkaline. Turbidity and suspended solids were markedly increased in Djedi w adi and Z’mor w adi. The mean BOD 5 values across all examined aquatic systems demonstrated moderate organic pollution levels, with the highest amounts recorded in Djedi w adi, Ithel w adi, and Megarine l ake. In terms of salinity, Djedi w adi exhibited slightly brackish conditions, whereas the remaining sites ranged from brackish to highly brackish. The recorded fauna included 995 individuals, representing 55 genera/taxa across 8 orders and 29 families. The most diverse taxa were Coleoptera (24 taxa), Diptera (14 taxa), and Hemiptera (10 taxa), with Diptera and Coleoptera being the most dominant. Z'mor and Ithel wadi s had the highest biodiversity, with a total richness of 35 taxa and a Shannon score over 2.50. PCA-Biblot and cluster analysis identified three groups, indicating the significance of site typology and environmental factors for the distribution of benthic macroinvertebrate communities. The IBGN evaluation classified the hydrobiological quality of water as poor (IBGN score of 5) in Djedi w adi, Ithel w adi, Megarine l ake, and Ayata l ake, but Z’mor w adi demo n strated moderate water quality with an IBGN score of 9.

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Understanding the relationships among phytoplankton, benthic macroinvertebrates, and water quality variables in peri-urban river systems.
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  • Cite Count Icon 24
  • 10.1134/s0097807819050129
Principal Component Analysis for Water Quality Assessment of the Ganga River in Uttar Pradesh, India
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  • Water Resources
  • Kamal Jyoti Maji + 1 more

The present study is an attempt to apply principal component analysis (PCA) for spatial assessment of water quality parameters that are responsible for water quality deterioration in the Ganga river at four cities of Uttar Pradesh. 48 water samples of the Ganga river from Allahabad, Mirzapur, Shahzadpur and Varanasi in Uttar Pradesh were collected during January to December in 2013. Data were analyzed for assessment of 18 different physicochemical and biological water quality parameters. These variables were examined using PCA to define and standardize the parameters mainly responsible for water quality variance in Ganga river at four selected cities. PCA highlighted anthropogenic effect and industrial effect as two main significant components which explain more than 99.32% of the variance, accounting for 64.47 and 34.85% respectively of the total variance of Ganga water quality at the four cities. Results revealed that total dissolved solids, total alkalinity, total hardness were the important parameters in assessing variations in Ganga water quality during October to April (post-monsoon months) and turbidity, suspended solids are the important parameters in assessing variations in Ganga water quality during June to September (monsoon months). Ca2+, Cl–, $${\text{SO}}_{4}^{{2 - }}$$ , temperature, fluoride, pH, Fe, Cl–, were found to be non-principal water quality parameters. Principal component analysis produced three significant main components explaining more than 82.9% of the variance (anthropogenic and industrial effect) that present 57.1, 13.8 and 12% respectively of the total variance of water quality in Ganga river at the four selected cities. The result reveals that turbidity, dissolved oxygen and biochemical oxygen demand are the parameters that are most important in assessing variations of water quality. Water quality index based on eight parameters (turbidity, DO, BOD, COD, pH, TS, TSS and TDS) calculated for all four cities were found to range from medium to bad. Thus, this study illustrates the usefulness of multivariate statistical techniques for analysis, interpretation of complex data sets and understanding spatial variations in water quality for effective river water quality management.

  • Research Article
  • Cite Count Icon 6
  • 10.1155/2022/5800286
The Relationship between Benthic Macroinvertebrate Assemblages and Water Quality Parameters in the Sanyati Basin, Lake Kariba, Zimbabwe.
  • May 31, 2022
  • The Scientific World Journal
  • Peter Makumbe + 2 more

Biological monitoring of reservoirs is important in assessing aquatic health. This study aimed at assessing the structure of benthic macroinvertebrate communities in relation to physicochemical parameters along Sanyati basin shoreline in Lake Kariba, Zimbabwe. Six sites (S1 to S6) characterized by various human disturbances were sampled for physicochemical parameters and benthic macroinvertebrates from January to March 2018. We computed macroinvertebrate metrics and classified them into functional feeding groups (FFGs). A canonical correspondence analysis (CCA) triplot was constructed to assess species-physicochemical relations. Significant differences across the sampling sites were observed for pH, electrical conductivity, turbidity, nitrate-nitrogen (NO3-N), ammonium nitrogen (NH4-N), total nitrogen (TN), phosphate-phosphorus (PO4-P), total phosphates (TP), and dissolved oxygen (DO). The results from CCA highlighted that S1 was generally associated with high pH, NH4-N, and TN, and Oligochaeta, Syrphidae, and Hydrophilidae families. The highest percentage of EPT taxa (39.83%) was recorded at S6, while the lowest was recorded at S1. The taxa were made up of 50% predators, 26% collector-gatherers, 6% scrappers, 6% shredders, and 3% collector-filters with 3 taxa (Chironomidae, Hydropsychidae, and Leptoceridae) having more than two FFGs. Site S1 had a significantly higher mean abundance of collector-gatherers than the other sites. A high correlation between water parameters and SASS and ASPT scores was observed indicating their ability to detect environmental changes. These findings suggest that macroinvertebrate communities are good candidates for delineating the effects of industrial pollution on water quality.

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  • Research Article
  • Cite Count Icon 12
  • 10.1007/s13201-021-01451-z
Integrated water quality monitoring of Mahi river using benthic macroinvertebrates and comparison of its biodiversity among various stretches
  • Jul 26, 2021
  • Applied Water Science
  • Nitasha Khatri + 2 more

Use of benthic macroinvertebrates has been in vogue as indicator organisms for water quality monitoring since long. Traditional methods of water quality monitoring incorporate mostly monitoring of physicochemical parameters. However, it is the biomonitoring studies that could help in more accurate water quality monitoring. Due to anthropogenic impact at water sources, integrated water quality monitoring has become a necessity. An integrated study comprising physicochemical parameters and biomonitoring using benthic macroinvertebrates was carried out at six sites along the Mahi river basin, the command area of which has witnessed tremendous economic and cultural progress over a period of time. Diversity Score and Saprobic Score were calculated, and Water Quality Class was determined as per Biological Monitoring Working Party score given by Central Pollution Control Board and results in moderate pollution at all locations, whereas Water Quality Class as per ISI-IS 2296–1982 at M-1, M-4, M-7 and M-12 shows slight pollution. Jaccard’s similarity index compared the biodiversity of benthic macroinvertebrates at all the sites from upstream to downstream locations. It was maximum, i.e., 52.94% between the locations at M-4 and M-7. Species richness (S) has also been monitored at the said locations. The Diversity Score 0.83 is maximum at the Galteshwar (M-12) location of the Mahi river, which indicates that the location was the most ecologically diverse region among all.

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