Combination using of qualitative parameters in aquifer and watershed of Mosian plain in order to determine the aquifer qualitative impacts on surface flow

Document Type : Original Article

Authors

MSc graduated of Civil and Environmental Engineering, Department of Civil Engineering, Babol Noshirvani University of Technology-Iran

Abstract

Determining the long-term qualitative conditions for water resources is very important in areas facing water shortage. By determining the quality of water resources, it is possible to examine the sustainability of resources and its importance in long-term planning. Iran is also considered to have a shortage of water due to its geographical location, including arid and semi-arid regions. Therefore, in this paper, determination of the quality of water resources of fertile plains around Musan village in Iran was studied. For this purpose, the data of watershed and aquifer were collected during 10 years period and the outlying data was removed using the box diagram. Statistical analysis carried out in Student's t-distributionat confidence level of 95% showed that the maximum amount of hardness, TDS, EC, Ca, NO3, HCO3, SO4, CL, Mg and Na in the Telezi River are 70.5, 124.5, 201, 91.1, 7.5, 82.3, 15.2, 11.7, 3.8 and 14.9 mg/liter, respectively. According to WHO and the drinking water standards of Iran (No.1053), it can be used for drinking. This analysis also demonstrated the appropriate quality of groundwater resources. Based on the long-term collected data, changes in quality trend of the catchment and aquifer were investigated, which based on the Mann-kendall test, the decline trend in quality for all parameters of the catchment (except SO4and Mg) was obvious at 5% significance level, while in the aquifer, just reduction in the TDS quality of the groundwater resources was observed. According to the similar results between the catchment and aquifer, the hypothesis based on the relationship between these resources was raised which investigated by the finite element method. It was found that the aquifer of the plain has been influenced up to the high of 70 meters from the watershed

Keywords


 
American Public Health Association, American Water Works Association, Water Environment Federation, 2014. Standard Methods for the Examination of Water and Wastewater, 20th ed, Standard Methods.
Backman, B., Bodis, D., Lahermo, P., Rapant, S., Tarvainen, T., 1998. Application of a groundwater contamination index in Finland and Slovakia. Environ. Geol. 36, 55–64. doi:10.1007/s002540050320
Carrera-Villacrés, D., Guevara-García, P., Hidalgo-Hidalgo, A., Teresa-Vivero, M., Maya-Carrillo, M., 2015. Removal of Physical Information Chemistry of Spa that is Utilizing Geothermal Water in Ecuador. Procedia Earth Planet. Sci. 15, 367–373. doi:10.1016/j.proeps.2015.08.090
Di Guardo, A., Finizio, A., 2016. A moni-modelling approach to manage groundwater risk to pesticide leaching at regional scale. Sci. Total Environ. 545–546, 200–209. doi:10.1016/j.scitotenv.2015.12.056
Erdlenbruch, K., Tidball, M., Zaccour, G., 2014. Quantity-quality management of a groundwater resource by a water agency. Environ. Sci. Policy 44, 201–214. doi:10.1016/j.envsci.2014.08.002
Goenster, S., Wiehle, M., Gebauer, J., Mohamed Ali, A., Stern, R.D., Buerkert, A., 2015. Daily rainfall data to identify trends in rainfall amount and rainfall-induced agricultural events in the Nuba Mountains of Sudan. J. Arid Environ. 122, 16–26. doi:10.1016/j.jaridenv.2015.06.003
Kinzelbach, W., 1986. Groundwater Modelling An Introduction with Sample Programs in BASIC. ELSEVIER.
Krishnaraj, S., Murugesan, V., K, V., Sabarathinam, C., Paluchamy, A., Ramachandran, M., 2012. Use of Hydrochemistry and Stable Isotopes as Tools for Groundwater Evolution and Contamination Investigations. J. Geo-sciences 1, 16–25. doi:10.5923/j.geo.20110101.02
Kuraa, N.U., Ramlia, M.F., Sulaiman, W.N.A., Ibrahim, S., Aris, A.Z., Narany, T.S., 2015. Spatiotemporal variations in groundwater chemistry of a small tropical island using graphical and geochemical models, in: International Conference on Environmental Forensics 2015. pp. 358–363.
Mahajan, D.R., Dodamani, B.M., 2015. Trend Analysis of Drought Events Over Upper Krishna Basin in Maharashtra. Aquat. Procedia. doi:10.1016/j.aqpro.2015.02.163
Rajendran, S.S.K.A.S., 2011. Hydrochemical profile for assessing the groundwater quality of Paravanar River Sub-Basin, Cuddalore district, Tamil Nadu, India. Curr. World Environ. 6, 45–52.
Sadashivaiah, C., Ramakrishnaiah, C.R., Ranganna, G., 2008. Hydrochemical analysis and evaluation of groundwater quality in Tumkur Taluk, Karnataka State, India. Int. J. Environ. Res. Public Health 5, 158–164. doi:10.3390/ijerph2008050022
Sophocleous, M., 2002. Interactions between groundwater and surface water: The state of the science. Hydrogeol. J. 10, 52–67. doi:10.1007/s10040-001-0170-8
Talabi, A.O., Afolagboye, O.L., Tijani, M.N., Aladejana, J.A., Ogundana, A.K., 2013. Hydrogeochemical Assessment of Surface Water in the Central Part of Ekiti-State , Southwestern Nigeria 1, 56–65. doi:10.12691/ajwr-1-4-1
Tong, S.T.Y., Chen, W., 2002. Modeling the relationship between land use and surface water quality. J. Environ. Manage. 66, 377–393. doi:10.1006/jema.2002.0593
Wong, H., Hu, B.Q., 2013. Application of interval clustering approach to water quality evaluation. J. Hydrol. 491, 55–64.
Xin, X., Li, K., Finlayson, B., Yin, W., 2015. Evaluation, prediction, and protection of water quality in Danjiangkou Reservoir, China. Water Sci. Eng. 8, 30–39. doi:10.1016/j.wse.2014.11.001
Xin, X.K., Li, K.F., Finlayson, B., Yin, W., 2015. Evaluation, prediction, and protection of water quality in Danjiangkou Reservoir, China. Water Sci. Eng. 8, 30–39. doi:10.1016/j.wse.2014.11.001
Xu, Z.X., Takeuchi, K., Ishidaira, H., 2003. Monotonic trend and step changes in Japanese precipitation. J. Hydrol. 279, 144–150. doi:10.1016/S0022-1694(03)00178-1
Zhai, X., Xia, J., Zhang, Y., 2014. Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses. Sci. Total Environ. 496, 594–606. doi:10.1016/j.scitotenv.2014.06.101
Zhao, Y., Zou, X., Gao, J., Xu, X., Wang, C., Tang, D., Wang, T., Wu, X., 2015. Quantifying the anthropogenic and climatic contributions to changes in water discharge and sediment load into the sea: A case study of the Yangtze River, China. Sci. Total Environ. 536, 803–812. doi:10.1016/j.scitotenv.2015.07.119