Biological index and pollution assessment of Damghanroud river in the Semnan province

Document Type : Research Paper


1 Natural resources faculty of Tehran University. Daneshkedeh St. Karaj- Iran

2 superviore

3 International Desert Research Center


Fresh Water Rivers are one of the most important aquatic ecosystems in arid and semi-arid regions of Iran in point of biodiversity and drinking water views. Damghanroud River is one of these rivers at Semnan province that during past years has been threatened by drought and anthropogenic pollutions. This river supplies some parts of drinking water of Damghan city and some vicinity villages. The aim of the present study is to consider Biological Index of the river; for this purpose, limnological and hydrobiological studies of the river were carried out. At this study, seven sampling stations were determined based on limnological standard method along the river; afterwards sampling of invertebrates (Biological Index) and water quality (BOD) were performed seasonally during study period. The results showed that the first station (Cheshmeh-Ali) is free of pollution while the fourth sampling station (Doab) is the most polluted region at the river because the first station has no pollutant resource but the fourth station directly receives wastewater of agricultural activities and rural wastewaters. According to biomonitoring and water BOD measurement findings, Damghanroud River has relatively polluted situation and is classified in β-mezosaprobe class and benthos biological index has been deteriorated at this river.


Main Subjects

Afzali, A., H. Keshtkar, S. Pakzad, N. Moazami, E.
     Azizabadi Farahani, A. Golpaygani, E. Khosrojerdi,
     Z. Yousefi, M. TaghiNaghilou, 2016. Spatio-temporal
     analysis of drought severity using drought indices and
     deterministic and geostatistical methods (Case Study:
     Zayandehroud River Basin). Desert, 21; 165-172.
Ahmadi, M., M. Nafisi, 2001. Identification of Running
     Water Indicator Invertebrate, Khabir publication,
Asefjah, B., F. Fanian, Z. Feizi, A. Abolhasani, H.
     Paktinat, M. Naghilou, A. Molaei Atani, M.
     Asadollahi, M. Babakhani, A. Kouroshnia, F. Salehi,
     2014. Drought monitoring by using several
     meteorological drought indices (Case study: Salt
     Lake Basin of Iran). Desert, 19; 155-165.
Baur, W., 1980. Gewasser guete bestimmen and
     beurtilen, Paul Parey Verlag, Stuttgart.
Campolo, M., A. Soldati, P. Andreussi, 2001. Water
     quality control in the river Arno. Water Resour. Res.,
     35; 3547–3552.
Chapman, D., 1992. Water Quality Assessment. In:
     Chapman D, London H, Chomczyńska M,
     Montusiewicz A, Malicki J, Lagód G, Editors.
     Application of Saprobes for Bioindication of
     Wastewater Quality. Environmental Engineering
     Science, 26; 289-296.
Daniel, H., J. Haury, 1995. Effects of fish farm pollution
     on phytocenoses in an acidic river (the River Scorff,
     South Brittany, France). Acta Botanica Gallica, 142;
De los Rios Escalante, P., K. Górski, P. Acevedo, M.
     Castro, 2015. First observations of the aquatic
     invertebrate fauna in ephemeral Atacama River (22°
     S, Antofagasta Region, Chile). Desert, 20; 117-121.
Grbovi, S., J.  Walley, B. Kompare, 1997. Using
     machine learning techniques in the construction of
     models. Part II: Rule induction. Ecol. Modelling, 95;
Hur, J., J. Cho, 2012. Prediction of BOD, COD, and total
     nitrogen concentrations in a typical urban river using
     a fluorescence excitation-emission matrix with
     PARAFAC and UV absorption indices. Sensors, 12;
Kabir, H., M. Kibria, M. Jashimuddin, M.M. Hossain,
     2015. Conservation of a river for biodiversity and
     ecosystem services: the case of the Halda – the
     unique river of Chittagong, Bangladesh. International
     Journal of River Basin Management, 13; 333-342.
Kotti, M. E., A.G. Vlessidis, N.C. Thanasoulias, N.P.
     Evmiridis, 2005. Assessment of River Water Quality
     in Northwestern Greece. Water Resources
     Management, 19; 77-94.
Laronne, J.B., L. Reid, 1993. Very high rates of bedload
     sediment transport by ephemeral desert rivers.
     Nature, 366; 148-150.
Maidment, D.R., 2016. Open Water Data in Space and
     Time. Journal of the American Water Resources
     Association, 52; 816-824.
Mehrdadi, N., M. Ghobadi, T. Nasrabadi, H. Hoveidi,
     2006. Evaluation of the quality and selfpurification
     potential of Tajan river using QUAL2E Model. Iran.
     J. Environ. Health. Sci. Eng., 3; 199-204.
Naserzadeh, M.H., E. Ahmadi, 2012. Study of 
     meteorological drought index in drought monitoring
     and mapping in Qazvin province. Geo. Sc. Ap. Res.
     J., 27; 141-162.
Ostroumov, S.A., 2005. On some issues of maintaining
     water quality and self-purification. Water Resource,
     32; 337–346.
Rezaei Tavabe, K., H. Azarnivand, 2013. Biodiversity in
     Qanats (The Case study of Kerman County, Iran).
     Desert, 18; 99-104.
Rezaei Tavabe, K., M.A. Zare Chahouki, A.
     Yazdanpanah, A. Vazirzadeh, 2010. Limnological
     and pollution study of Shahdadroud River, Kerman
     province. Desert, 14; 21-26.
Roldan, G., 2003. Bioindicacion de la calidad del agua
     en Colombia: Propuesta para el uso del método
     BMWP/Col, Colección Ciencia y Tecnología,
     Editorial Universidad de Antioquia, Colombia.
Rosenberg, D.M., V.H. Resh, 1996. Use of aquatic
     insects in biomonitoring. In: Merritt RW,  Cummins
     KW, Editors. An introduction to the Aquatic Insects
     of North America. Kendall/Hunt: Dubuque, USA; p.
Schwoerbel, J., 1999. Einführung in die Limnologie,
     Gustav Fischer Verlag, Stuttgart, Germany.
Servais, P., A. Barillier, J. Garnier, 1995. Determination
     of the biodegradable fraction of dissolved and
     particulate organic carbon. Annales de Limnologie,
     31; 75–80.
Shahabfar, A.R., J. Eitzinger, 2013. Spatio-Temporal
     Analysis of Droughts in Semi-Arid Regions by Using
     Meteorological Drought Indices. Atm., 4; 94-112.
Singh, K.P., A. Malik, D. Mohan, S. Sinha, 2004.
     Multivariate statistical techniques for the evaluation
     of spatial and temporal variations in water quality of 
     Gomti River (India) a case study. Water Research,
     38; 3980-3992.
Swaroop, B.D., 1993. River BOD prediction under non-
     point discharge conditions. Indian Jornal of
     Engineering and Materials Sciences, 1; 35-40.
Tian, S., Z. Wang, H. Shang, 2012. Study on the Self-
     purification of Juma River. Procedia Environmental
     Sciences, 11; 1328-1333.
Vega, M., R. Pardo, E.L. Barrado, L. Deban, 1998.
     Assessment of seasonal and polluting effects on the
     quality of river water by exploratory data analysis,
     Water Research, 32; 3581–3592.
Wegl, R., 1983. Wasser and abwasser, Index fure die
     limnosaprobitaet, Beitrege zur Gewasser Forschung,
Wei, G., Z. Yang, B. Cui, B. Li, H. Chen, J. Bai, S.
     Dong, 2009. Impact of dam construction on water
     quality and water self-purification capacity of the
     Lancang River, China. Water Resources
     Management, 23; 1763-1780.
Wilson, J.G., D.W. Jeffrey, 1994. Benthic biological
     pollution indices in estuaries. In: Kramer KJM,
     Editor. Biomonitoring of Coastal Water and
     Estuaries. CRC Press, Baton Rouge; USA; 276-
Zarei, R., M. Sarajian, S. Bazgeer, 2013. Monitoring
     meteorological drought in Iran using remote sensing
     and drought indices. Desert, 18; 89-97.