Monitoring and assessment of water health quality in the Tajan River, Iran using physicochemical, fish and macroinvertebrates indices

J. Aazami, S. Kosten, A. Abdoli, H. Sohrabi, P.J. van den Brink

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)

Abstract

Background - Nowadays, aquatic organisms are used as bio-indicators to assess ecological water quality in western regions, but have hardly been used in an Iranian context. We, therefore, evaluated the suitability of several indices to assess the water quality for an Iranian case study. Methods - Measured data on biotic (fish and macroinvertebrates) and abiotic elements (28 physicochemical and habitat parameters), were used to calculate six indices for assessment of water quality and the impact of human activities in the Tajan river, Iran. GIS, uni- and multivariate statistics were used to assess the correlations between biological and environmental endpoints. Results - The results showed that ecological condition and water quality were reduced from up- to downstream. The reduced water quality was revealed by the biotic indices better than the abiotic ones which were linked to a variety of ecological water quality scales. Conclusion - The fish index showed a strong relationship with long-term database of physicochemical parameters (12 years (94%)), whereas macroinvertebrates index is more correlated with short-term data (76%). Meanwhile, the biotic and abiotic elements in this study were also classified well by PCA. Pulp and wood plants and sand mining are indicated to have the most negative effects on the river ecosystem.
Original languageEnglish
Article number29
Number of pages12
JournalJournal of Environmental Health Science and Engineering
Volume13
DOIs
Publication statusPublished - 2015

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Water Quality
Iran
Rivers
Fish
macroinvertebrate
Water quality
Fishes
Health
water quality
Monitoring
monitoring
fish
river
Water
water
Ecosystem
Aquatic organisms
Aquatic Organisms
Passive Cutaneous Anaphylaxis
aquatic organism

Cite this

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title = "Monitoring and assessment of water health quality in the Tajan River, Iran using physicochemical, fish and macroinvertebrates indices",
abstract = "Background - Nowadays, aquatic organisms are used as bio-indicators to assess ecological water quality in western regions, but have hardly been used in an Iranian context. We, therefore, evaluated the suitability of several indices to assess the water quality for an Iranian case study. Methods - Measured data on biotic (fish and macroinvertebrates) and abiotic elements (28 physicochemical and habitat parameters), were used to calculate six indices for assessment of water quality and the impact of human activities in the Tajan river, Iran. GIS, uni- and multivariate statistics were used to assess the correlations between biological and environmental endpoints. Results - The results showed that ecological condition and water quality were reduced from up- to downstream. The reduced water quality was revealed by the biotic indices better than the abiotic ones which were linked to a variety of ecological water quality scales. Conclusion - The fish index showed a strong relationship with long-term database of physicochemical parameters (12 years (94{\%})), whereas macroinvertebrates index is more correlated with short-term data (76{\%}). Meanwhile, the biotic and abiotic elements in this study were also classified well by PCA. Pulp and wood plants and sand mining are indicated to have the most negative effects on the river ecosystem.",
author = "J. Aazami and S. Kosten and A. Abdoli and H. Sohrabi and {van den Brink}, P.J.",
year = "2015",
doi = "10.1186/s40201-015-0186-y",
language = "English",
volume = "13",
journal = "Journal of Environmental Health Science and Engineering",
issn = "2052-336X",
publisher = "Springer Verlag",

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Monitoring and assessment of water health quality in the Tajan River, Iran using physicochemical, fish and macroinvertebrates indices. / Aazami, J.; Kosten, S.; Abdoli, A.; Sohrabi, H.; van den Brink, P.J.

In: Journal of Environmental Health Science and Engineering, Vol. 13, 29, 2015.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Monitoring and assessment of water health quality in the Tajan River, Iran using physicochemical, fish and macroinvertebrates indices

AU - Aazami, J.

AU - Kosten, S.

AU - Abdoli, A.

AU - Sohrabi, H.

AU - van den Brink, P.J.

PY - 2015

Y1 - 2015

N2 - Background - Nowadays, aquatic organisms are used as bio-indicators to assess ecological water quality in western regions, but have hardly been used in an Iranian context. We, therefore, evaluated the suitability of several indices to assess the water quality for an Iranian case study. Methods - Measured data on biotic (fish and macroinvertebrates) and abiotic elements (28 physicochemical and habitat parameters), were used to calculate six indices for assessment of water quality and the impact of human activities in the Tajan river, Iran. GIS, uni- and multivariate statistics were used to assess the correlations between biological and environmental endpoints. Results - The results showed that ecological condition and water quality were reduced from up- to downstream. The reduced water quality was revealed by the biotic indices better than the abiotic ones which were linked to a variety of ecological water quality scales. Conclusion - The fish index showed a strong relationship with long-term database of physicochemical parameters (12 years (94%)), whereas macroinvertebrates index is more correlated with short-term data (76%). Meanwhile, the biotic and abiotic elements in this study were also classified well by PCA. Pulp and wood plants and sand mining are indicated to have the most negative effects on the river ecosystem.

AB - Background - Nowadays, aquatic organisms are used as bio-indicators to assess ecological water quality in western regions, but have hardly been used in an Iranian context. We, therefore, evaluated the suitability of several indices to assess the water quality for an Iranian case study. Methods - Measured data on biotic (fish and macroinvertebrates) and abiotic elements (28 physicochemical and habitat parameters), were used to calculate six indices for assessment of water quality and the impact of human activities in the Tajan river, Iran. GIS, uni- and multivariate statistics were used to assess the correlations between biological and environmental endpoints. Results - The results showed that ecological condition and water quality were reduced from up- to downstream. The reduced water quality was revealed by the biotic indices better than the abiotic ones which were linked to a variety of ecological water quality scales. Conclusion - The fish index showed a strong relationship with long-term database of physicochemical parameters (12 years (94%)), whereas macroinvertebrates index is more correlated with short-term data (76%). Meanwhile, the biotic and abiotic elements in this study were also classified well by PCA. Pulp and wood plants and sand mining are indicated to have the most negative effects on the river ecosystem.

U2 - 10.1186/s40201-015-0186-y

DO - 10.1186/s40201-015-0186-y

M3 - Article

VL - 13

JO - Journal of Environmental Health Science and Engineering

JF - Journal of Environmental Health Science and Engineering

SN - 2052-336X

M1 - 29

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