The qualitative and quantitative trend analysis of groundwater in Jiroft plain using Modified Mann-Kendall Test

Document Type : Original Article

Authors

1 Ph.D. Student of Watershed Management Engineering and Sciences, University of Kashan, Kashan, Isfahan, Iran

2 Department of Rangeland and Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

3 Assistant Professor, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord,

Abstract

As a dry province in the center of Iran, Kerman has faced a major groundwater depression over the past few years. Reduced groundwater levels in this region have created myriad problems in the agricultural sector, particularly in the southern and southeastern areas with relatively warmer weather. In this research, the temporal and spatial trends and  change-point time of quantitative and qualitative variables of groundwater (EC, pH, Na, Ca, Mg, Cl, SO4, HCO3, TDSand groundwater) in Jiroft plain were investigated during 2002-2015. The  results revealed that, on average, the water level of the studied plain was significantly reduced by approximately 8 meters during the statistical period at a significant level of 5%. The central areas of the plain were reduced. A year after the change-point of groundwater data, a significant increase was observed in the qualitative data in the region. The highest increase in groundwater salinity was also found in the main river route, indicating a reduction in surface water discharge in the aquifer. During the specified period, the amounts of Ca, EC, Cl, SO4, Mg and Na in  the studied plain increased (decreased) by an average 27, 18, 40, 0.4, (-24) and (-2.3) %, respectively. In 2007, the  decline trend of groundwater levels in Jiroft plain was, on average, significant and failure was observed in the data. Finally, the groundwater quality in Jiroft plain was investigated using the Wilcox diagram, which  showed that agricultural water in certain areas with C2-S1 classes was acceptable.

Keywords


  1. Abdullahi, M. G., Toriman, M. E., Gasim, M. B., & Garba, I. (2015). Trends analysis of groundwater: Using non-parametric methods in Terengganu Malaysia. Journal of Earth Science and Climatic Change, 6(1), 1-3.
  2. Alexandersson, H. 1986. A homogeneity test applied to precipitation data. Journal of climatology, 6(6): 661-675.
  3. Babakhani, M., Zehtabian, G., Keshtkar, A. R. and Khosravi, H, 2016. Trend of groundwater quality
    changes, using geo statistics (case study: Ravar Plain). Pollution, 2(2): 115-129.
  4. Barkhori, S., Mahdavi, R., Zehtabian, Gh. And Gholami, H. (2017). Investigating temporal and spatial changes trend of groundwater quality indices (Case Study: Jiroft plain). Iranian Journal of Range and Desert Research, 25(2): 355-365 (In Persian).
  5. Belle, G., & Hughes, J. P. (1984). Nonparametric tests for trend in water quality. Water resources research, 20(1), 127-136.
  6. Burn, D. H., & Elnur, M. A. H. (2002). Detection of hydrologic trends and variability. Journal of hydrology, 255(1-4), 107-122.
  7. Demir, Y., Erşahin, S., Güler, M., Cemek, B., Günal, H. and Arslan, H., 2009. Spatial variability of depth and salinity of groundwater under irrigated ustifluvents in the Middle Black Sea Region of Turkey. Environmental monitoring and assessment, 158(1-4): 279-294.
  8. Dinpashoh, Y., Mirabbasi, R., Jhajharia, D., Zare Abianeh, H., Mostafaeipour, A., 2014. Effect of short term and long-term persistence on identification of temporal trends. Journal of Hydrologic Engineering. 19(3), 617-625.
  9. Donohue, R., Davidson, W. A., Peters, N. E., Nelson, S., & Jakowyna, B. (2001). Trends in total phosphorus and total nitrogen concentrations of tributaries to the Swan–Canning Estuary, 1987 to 1998. Hydrological Processes, 15(13), 2411-2434.
  10. Duhan, D., & Pandey, A. (2013). Statistical analysis of long term spatial and temporal trends of precipitation during 1901–2002 at Madhya Pradesh, India. Atmospheric Research, 122, 136-149.
  11. Gejl, R. N., Rygaard, M., Henriksen, H. J., Rasmussen, J., & Bjerg, P. L., 2019. Understanding the impacts of groundwater abstraction through long-term trends in water quality. Water research, 156, 241-251.
  12. Harris, J., Loftis, J. C., & Montgomery, R. H. (1987). Statistical methods for characterizing ground‐water quality.Groundwater,25(2), 185-193.
  13. Helsel, D. R., & Frans, L. M. (2006). Regional Kendall test for trend. Environmental science & technology, 40(13), 4066-4073.
  14. Kendall, MG. 1975. Rank Correlation Measures, Charles Griffin, London.
  15. Khalili, K., Tahoudi, M. N., Mirabbasi, R. and Ahmadi, F. 2016. Investigation of spatial and temporal variability of precipitation in Iran over the last half century. Stochastic Environmental Research and Risk Assessment, 30:1205-1221.
  16. Kousari, M.R., Ekhtesasi, M.R., Tazeh, M., Saremi Naeini, M.A, Asadi Zarch, M.A. 2011. An investigation of the Iranian climatic changes by considering the precipitation, temperature, and relative humidity parameters. Theoret App Climatol 103: 321-335.
  17. Kumar, S., Merwade, V., Kam, J., Thurner, K. 2009. Stream flow trends in Indiana: Effects of long term persistence, precipitation and subsurface drains. Journal of Hydrology, 374: 171-183.
  18. Mann, H.B. 1945. Nonparametric test against trend, Econometrica 13: 245-259.
  19. Masoud, A. A., Koike, K., Mashaly, H. A., & Gergis, F., 2016. Spatio-temporal trends and change factors of groundwater quality in an arid area with peat rich aquifers: Emergence of water environmental problems in Tanta District, Egypt. Journal of Arid Environments, 124, 360-376.
  20. Panda, D. K., Mishra, A., Jena, S. K., James, B. K., & Kumar, A. (2007). The influence of drought and anthropogenic effects on groundwater levels in Orissa, India. Journal of hydrology, 343(3-4), 140-153.
  21. Sen, P.K. 1968 Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc, 63:1379–1389. doi:10.2307/2285891
  22. Shahin, M., Van Oorschot, H.J.L. and De Lange, S.J. 1993. Statistical Analysis in Water Resources Engineering. A.A. Balkema, Rotterdam, the Netherlands, 394 pp.
  23. Sivapragasam, C., Kannabiran, K., Karthik, G., & Raja, S. 2015. Assessing suitability of GP modeling for groundwater level. Aquatic Procedia, 4, 693-699.
  24. Soleimani Sardou, F., Boroumand. N. and Azareh, A. 2017. Evaluating the trend of spatial and temporal changes in groundwater quality in jiroft plain. Journal of range and watershed management (iranian journal of natural resources),  69(4): 921 to 932 (In Persian).
  25. Some'e, B.S., Ezani, A., Tabari, H. 2012. Spatiotemporal trends and change point of precipitation in Iran. Atmos Res 113, 1-12.
  26. Tabari, H., Nikbakht, J., & Some’e, B. S. 2012. Investigation of groundwater level fluctuations in the north of Iran. Environmental Earth Sciences, 66(1), 231-243.
  27. Thiel, H. 1950. A rank-invariant method of linear and polynomial analy-sis, part 3. Nederlandse Akademie van Wettenschappen, Proceedings, 53:1397–1412
  28. Zamani, R., Mirabbasi, R., Nazeri, M., Gajbhiye Meshram, S. and Ahmadi, F. 2018. Spatio-temporal analysis of daily, seasonal and annual precipitation concentration in Jharkhand state, India. Stochastic Environmental Research and Risk Assessment, DOI.
  29.