EVALUATING THE IMPACTS OF DROUGHT ON GROUNDWATER RESOURCES IN FASA AQUIFER USING SPI, GRI AND SECI

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SEYFI M.; MOHAMMAD ZADEH H.; MOSAEDI A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Water Resources Engineering Year:2012 | Volume:5 | Issue:13 Page(s): 55-72

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Title

EVALUATING THE IMPACTS OF DROUGHT ON GROUNDWATER RESOURCES IN FASA AQUIFER USING SPI, GRI AND SECI

Author(s)

SEYFI M. | MOHAMMAD ZADEH H. | MOSAEDI A. | Issue Writer Certificate

Keywords

GROUNDWATERQ2

GROUNDWATER RESOURCE INDEX (GRI)Q2

STANDARDIZED PRECIPITATION INDEX (SPI)Q2

STANDARDIZED ELECTRICAL CONDUCTIVITY INDEX (SECI)Q2

FASA PLAINQ2

Abstract

Drought phenomenon, during its occurrence, affects on GROUNDWATER resources, which have been less taken into consideration. In this research, the extent of meteorological drought vulnerability in Fasa and adjacent areas using Standardized Precipitation Index (SPI) at monthly, seasonally and yearly scales during the period of 1978-2009, and the hydro geological droughts in this area using GROUNDWATER Resource Index (GRI) during the period of 1994-2010 have been studied. The results show that the GRI values have a decreasing trend with occurrence of high levels of hydro geological droughts in GROUNDWATER resources in years 2003, 2008 and 2009. To investigate the dependence of GROUNDWATER quantity/quality to meteorological drought phenomenon, the correlation coefficient between the mean values of GROUNDWATER levels, GRI and Standardized Electrical Conductivity Index (SECI) with SPI on different time scales, with and without time delay, was calculated for the period of 1993-2009. The results show that, the SPI index, in 48-month time scale without time delay (SPI-48), has a strong correlation (at 99 percent meaning level) with GROUNDWATER levels, GRI and SECI, which confirms the directly affected of GROUNDWATER (quantitatively and qualitatively) by drought. The regression of GROUNDWATER levels with SPI-48 indicates that approximately 56% of GROUNDWATER levels’ variances are related to SPI and 44% is by other factors. In addition, the regression analysis between SECI and GROUNDWATER levels and SPI-48 shows that approximately 46% of SECI variances are related to the amounts of GROUNDWATER and 54% is by other factors. There is no linear correlation, at 95 and 99 percent meaning level, between SECI and SPI-48.

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APA: Copy

SEYFI, M., MOHAMMAD ZADEH, H., & MOSAEDI, A.. (2012). EVALUATING THE IMPACTS OF DROUGHT ON GROUNDWATER RESOURCES IN FASA AQUIFER USING SPI, GRI AND SECI. WATER ENGINEERING, 5(13), 55-72. SID. https://sid.ir/paper/169550/en

Vancouver: Copy

SEYFI M., MOHAMMAD ZADEH H., MOSAEDI A.. EVALUATING THE IMPACTS OF DROUGHT ON GROUNDWATER RESOURCES IN FASA AQUIFER USING SPI, GRI AND SECI. WATER ENGINEERING[Internet]. 2012;5(13):55-72. Available from: https://sid.ir/paper/169550/en

IEEE: Copy

M. SEYFI, H. MOHAMMAD ZADEH, and A. MOSAEDI, “EVALUATING THE IMPACTS OF DROUGHT ON GROUNDWATER RESOURCES IN FASA AQUIFER USING SPI, GRI AND SECI,” WATER ENGINEERING, vol. 5, no. 13, pp. 55–72, 2012, [Online]. Available: https://sid.ir/paper/169550/en

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