|تعداد مشاهده مقاله||7,639,966|
|تعداد دریافت فایل اصل مقاله||5,858,543|
Development of multimetric index based on benthic macroinvertebrate for water quality assessment of Jajrood River in Iran
|Caspian Journal of Environmental Sciences|
|دوره 20، شماره 1، فروردین 2022، صفحه 77-88 اصل مقاله (1.38 M)|
|نوع مقاله: Research Paper|
|شناسه دیجیتال (DOI): 10.22124/cjes.2022.5394|
|Faeze Hosseinabadi1؛ Seyed Hossein Hashemi1؛ Asghar Abdoli* 2؛ Farzad Mehrjo1|
|1Department of Environmental Pollutants Research, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran|
|2Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran|
|Increased anthropogenic disturbances in river ecosystems has led to a reduction in the biodiversity of rivers. The purpose of this study was to develop a multimetric index based on benthic macroinvertebrate for water quality assessment of Jajrood River. Biological and physicochemical sampling from seven stations was performed in the upstream basin of the river, located in the northeast of Tehran. Therefore, for the development of the MMIJ (Multimetric Macroinvertebrate Index Jajrood upstream) index, as a complementary tool in analyzing the physicochemical parameters, the data and indices calculated in the first two years (2011 & 2012) were used and validated with the data of the third year (2013). So, 24 biological indices were selected. Range, stability, sensitivity, responsiveness (to the anthropogenic impact gradient), and redundancy were tested on indices. Finally, the five indices including FBI, MMIF, NJIS, Shannon-Wiener, and Margalef from four tests were performed for the development of the MMIJ multimetric index. Each index was given a values of 1, 3, and 5 about its score, and then this index was obtained with a sum of calculated scores. As a result, the calculated indices in the third year were valued according to the calibration of the five biological indices, and the water quality of the seven stations was determined. This study showed that MMIJ multimetric index had a high sensitivity to organic pollutants and was suitable for use in national monitoring and assessment programs in the Jajrood River basin.|
|Sampling؛ Jajrood upstream؛ Biological indices؛ Anthropogenic impacts؛ Monitoring|
Aazami, J, Sari, AE, Abdoli, A, Sohrabi, H & Van den Brink, PJ 2015, Assessment of ecological quality of the Tajan River in Iran using a multimetric macroinvertebrate index and species traits. Environmental Management, 56: 260-269.
Alemneh, T, Ambelu, A, Zaitchik, BF, Bahrndorff, S, Mereta, ST & Pertoldi, C 2019, A macroinvertebrate multi-metric index for Ethiopian highland streams. Hydrobiologia, 843: 125-141.
Alizadeh, M, Hosseini, S, Jafaryan, H, Ghorbani, R & Gholizadeh, M 2019, Evaluation of ecological and biochemical indices of the macrobenthic community in the Sari-Su River (Qarnaveh). Aquaculture Sciences, 6: 75-88.
Arman, NZ, Salmiati, S, Said, MIM & Aris, A 2019, Development of macroinvertebrate-based multimetric index and establishment of biocriteria for river health assessment in Malaysia. Ecological Indicators, 104: 449-458.
Baptista, DF, Buss, DF, Egler, M, Giovanelli, A, Silveira, MP & Nessimian, JL 2007, A multimetric index based on benthic macroinvertebrates for evaluation of Atlantic Forest streams at Rio de Janeiro State, Brazil. Hydrobiologia, 575: 83.
Cabecinha, E, Cortes, R & Cabral, JA 2004. Performance of a stochastic-dynamic modelling methodology for running waters ecological assessment. Ecological Modelling, 175: 303-317.
Couceiro, SRM, Hamada, N, Forsberg, BR, Pimentel, TP & Luz, SLB 2012, A macroinvertebrate multimetric index to evaluate the biological condition of streams in the Central Amazon region of Brazil. Ecological Indicators, 18: 118-125.
Damasio, JB, Barata, C, Munne, A, Ginebreda, A, Guasch, H, Sabater, S, Caixach, J & Porte, C 2007, Comparing the response of biochemical indicators (biomarkers) and biological indices to diagnose the ecological impact of an oil spillage in a Mediterranean river (NE Catalunya, Spain). Chemosphere, 66: 1206-1216.
de Bikuna, BG, Lopez, E, Leonardo, JM, Arrate, J, Martinez, A & Manzanos, A 2015, Development of a multimetric benthic macroinvertebrate index for assessing the ecological condition of Basque streams (north of Spain). Fundamental and Applied Limnology/Archiv fur Hydrobiologie, 187: 21-32.
Elizabeth Graham, S, Storey, R & Smith, B 2017, Dispersal distances of aquatic insects: upstream crawling by benthic EPT larvae and flight of adult Trichoptera along valley floors. New Zealand Journal of Marine and Freshwater Research, 51: 146-164.
Norman, ES, Dunn, G, Bakker, K, Allen, DM & De Albuquerque, RC 2013, Water security assessment: Integrating governance and freshwater indicators. Water Resources Management, 27: 535-551.
Fierro, P, Arismendi, I, Hughes, RM, Valdovinos, C & Jara-Flores, A 2018, A benthic macroinvertebrate multimetric index for Chilean Mediterranean streams. Ecological Indicators, 91: 13-23.
Hatami, R, Mahboobi Soofiani, N, Ebrahimi, E & Hemami, M 2011, Evaluating the aquaculture effluent impact on macroinvertebrate community and water quality using BMWP index. Journal of Environmental Studies, 37: 43-54.
Huang, Q, Gao, J, Cai, Y, Yin, H, Gao, Y, Zhao, J, Liu, L & Huang, J 2015, Development and application of benthic macroinvertebrate-based multimetric indices for the assessment of streams and rivers in the Taihu Basin, China. Ecological Indicators, 48: 649-659.
Hering, D, Feld, CK, Moog, O & Ofenbock, T 2006, Cook book for the development of a Multimetric Index for biological condition of aquatic ecosystems: Experiences from the European AQEM and STAR projects and related initiatives. In The ecological status of European rivers: Evaluation and inter-calibration of assessment methods, pp. 311-324. Springer, Dordrecht.
Jun, YC, Won, DH, Lee, SH, Kong, DS & Hwang, SJ 2012, A multimetric benthic macroinvertebrate index for the assessment of stream biotic integrity in Korea. International Journal of Environmental Research and Public Health, 9: 3599-3628.
Kebede, G, Mushi, D, Linke, RB, Dereje, O, Lakew, A, Hayes, DS & Graf, W 2020, Macroinvertebrate indices versus microbial fecal pollution characteristics for water quality monitoring reveals contrasting results for an Ethiopian river. Ecological Indicators, 108, 105733.
Klemm, DJ, Blocksom, KA, Fulk, FA, Herlihy, AT, Hughes, RM, Kaufmann, PR, Peck, DV, Stoddard, JL, Thoeny, WT, Griffith, MB & Davis, WS 2003, Development and evaluation of a macroinvertebrate biotic integrity index (MBII) for regionally assessing Mid-Atlantic Highlands streams. Environmental Management, 31: 656-669.
Kumari, P & Maiti, SK 2020, Bio-assessment in the aquatic ecosystems of highly urbanized agglomeration in India: An application of physicochemical and macroinvertebrate-based indices. Ecological Indicators, 111, 106053.
Lakew, A & Moog, O 2015, A multimetric index based on benthic macroinvertebrates for assessing the ecological status of streams and rivers in central and southeast highlands of Ethiopia. Hydrobiologia, 751: 229-242.
Liu, L, Xu, Z, Yin, X, Li, F & Dou, T 2017, Development of a multimetric index based on benthic macroinvertebrates for the assessment of urban stream health in Jinan City, China. Environmental Monitoring and Assessment, 189: 205.
Macedo, DR, Hughes, RM, Ferreira, WR, Firmiano, KR, Silva, DR, Ligeiro, R, Kaufmann, PR & Callisto, M 2016, Development of a benthic macroinvertebrate multimetric index (MMI) for Neotropical Savanna headwater streams. Ecological Indicators, 64: 132-141.
Metcalfe, JL 1989, Biological water quality assessment of running waters based on macroinvertebrate communities: history and present status in Europe. Environmental Pollution, 60: 101-139.
Melo, S, Stenert, C, Dalzochio, MS & Maltchik, L 2015, Development of a multimetric index based on aquatic macroinvertebrate communities to assess water quality of rice fields in southern Brazil. Hydrobiologia, 742: 1-14.
Nguyen, HH, Everaert, G, Gabriels, W, Hoang, TH & Goethals, PL 2014 A multimetric macroinvertebrate index for assessing the water quality of the Cau River basin in Vietnam. Limnologica, 45: 16-23.
Tavabe, KR, Azad, LT, Pour, YE & Fazlolahi A 2008, Biological evaluation of Darjazin River at Semnan Providence of Iran.
Rosa, BJFV, Rodrigues, LFT, de Oliveira, GS & da Gama Alves, R 2014, Chironomidae and Oligochaeta for water quality evaluation in an urban river in southeastern Brazil. Environmental Monitoring and Assessment, 186: 7771-7779.
Serra, S, Coimbra, N & Graça, M 2009, Freshwater invertebrates: key to identifying the main families. Imprensa da Universidade de Coimbra, Coimbra University Press.
Shiyun, C, Gong, Y, Wang, H, Zheng, J, Hu, J, Hu, J & Dong, F 2017, A pilot macroinvertebrate-based multimetric index (MMI-CS) for assessing the ecological status of the Chishui River basin, China. Ecological Indicators, 83: 84-95.
Pond, GJ, Call, SM, Brumley, JF & Compton, MC 2003, Derivation of regional narrative ratings for assessing wade able and headwater streams. Kentucky Department for Environmental Protection.
Verdonschot, PF & Moog, O 2006, Tools for assessing European streams with macroinvertebrates: major results and conclusions from the STAR project. Hydrobiologia, 566: 299-309.
Wei, M, Zhang, N, Zhang, Y & Zheng, B 2009, Integrated assessment of river health based on water quality, aquatic life and physical habitat. Journal of Environmental Sciences, 21: 1017-1027.
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