Assessment of Groundwater Quality Based on Entropy Weighted Water Quality Index

Authors

1 Faculty of Earth Sciences, Kharazmi University, Iran

2 PH.D Student Of Hydro Geology, Shahid Chamran University Of Ahvaz

Abstract

   In this study, the groundwater resources of Zanjan plain are assessed based on WHO standard for drinking water quality. In order to prevent the expert judgments about weight of parameters that occur in WQI method, the Entropy Weighted Water Quality Index (EWQI) was used to make higher precision of groundwater quality assessment. Results of factor analysis indicated that over 75% of changes in groundwater quality can be investigated by four factors and using 12 parameters including Ca, Na, K, Mg, NO3, Cr, Zn, EC, TDS, pH, DO and BOD. Factor 1 by controlling more than 33% of the changes has the highest impact and then the factor 2 with more than 19%, factor 3 with more than 12% and factor 4 with 10% are the most important factors affecting water quality in Zanjan plain. Based on the calculated entropy value and entropy weight of each parameter, Zn has the highest impact on water quality; Na, Ca, NO3, pH, K, Mg, DO are in the next rank. Based on EWQI, 5.08% of samples have the rank 1(excellent quality) and 72.88% (43 samples) are in rank 2 (good quality) for drinking. The 10.16% of Samples show the quality rank 3(medium quality), 6.77% of samples have the rank 4 (poor quality) and finally 5.08% of samples are in rank 5 (extremely poor).
 

Keywords


کوهستان نجفی ح.ر. ناصری ح.ر. حقیقت ر. فهمی ه. 1379. هیدروژئولوژی و شبیه‌سازی منابع آب زیرزمینی دشت زنجان با استفاده از مدل MODFLOW. پایان‌نامه کارشناسی ارشد. دانشگاه شهید بهشتی.363 ص. 36-44
Guey-Shin, Sh. ,Bai-You, Ch., Chi-Ting, Ch., Pei-Hsuan, Y., Tsun-Kuo, Ch., 2011. "Applying Factor Analysis Combined with Kriging and Information Entropy Theory for Mapping and Evaluating the Stability of Groundwater Quality Variation in Taiwan". Int. J. Environ. Res. Public Health. Vol. (8): 1084-1109
Ishaku, J. M., 2011. "Assessment of Groundwater Quality Index for Jimeta-Yola area, Northeastern Nigeria". Journal of Geology and Mining Research. Vol. 3(9): 219-231
Jian-Hua, W., Pei-Yue, L., Hui, Q., 2011. "Groundwater Quality in Jingyuan County, a Semi-Humid Area in Northwest China". E-Journal of Chemistry. Vol. 8(2):787-793
Kawachi, T., Maruyama, T., Singh, V.P., 2001. "Rainfall entropy for delineation of water resources zones in Japan". J. Hydrol., Vol. (246): 36-44
Ozkul, S., Harmancioglu, N.B., Singh, V.P., 2000. "Entropy-based assessment of water quality monitoring networks". J. Hydrol. Eng. Vol. (5): 90-100
Pei-Yue, L., Hui, Q., Jian-Hua, W., 2010. "Groundwater Quality Assessment Based on Improved Water Quality Index in Pengyang County, Ningxia, Northwest China". E-Journal of Chemistry. Vol. 7(S1): S209-S216
Pragathiswaran, C., Paruthimal, Kalaignan G., Prakash, P., Jeyaprabha, B., Karibasappa, H., Suganandam, K., 2008.  "Study on water quality in certain areas of an industrially colonized town - Hosur after monsoon".  Ecology Environment and Conservation. Vol. 14(4): 599-604 
Pragathiswaran, C., Paruthimal, Kalaignanan, G., P., Prakash, P., 2008.  "Ground water quality index in an industrial town-hosur during rainy season". Journal of Industrial Pollution Control. Vol. 24(2): 149-52 
Rajankar, P. N., Gulhane, S. R., Tambekar, D. H., Ramteke, D. S,. Wate, S. R.,  2009. "Water quality assessment of groundwater resources in Nagpur region (India) based on WQI".  E. Journal of Chemistry. Vol. 6(3): 905-8 
Reza, R., Singh, G., 2010. "Assessment of groundwater quality status by using water quality index method in Orissa, India". World Applied Sciences Journal. Vol 9(12): 1392-1397
Simoes, F.S., Moriera, A.B., Bisinoti, M.C., Gimenez, S.M.N., Yabe, M. J. S., 2008. "Water quality index as a simple indicator of aquaculture effects on aquatic bodies". Ecological indicators. Vol. (8): 476-484
Ulanowicz, R.E., 2001."Information theory in ecology". Comput. Chem. Vol. (25): 393-399