PREDICTION OF GROUNDWATER POLLUTION POTENTIAL USING THE DRASTIC INDEX AND ANNUAL TIME SERIES ANALYSIS (CASE STUDY: PLAIN MAHIDASHT KERMANSHAH)

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GORGANI SH.; BAFKAR A.; FATEMI S.E.

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Journal: IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT Year:2017 | Volume:10 | Issue:3 Page(s): 317-328

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Title

PREDICTION OF GROUNDWATER POLLUTION POTENTIAL USING THE DRASTIC INDEX AND ANNUAL TIME SERIES ANALYSIS (CASE STUDY: PLAIN MAHIDASHT KERMANSHAH)

Author(s)

GORGANI SH. | BAFKAR A. | FATEMI S.E. | Issue Writer Certificate

Keywords

TIME SERIESQ2

DRASTIC INDEXQ1

GEOGRAPHICAL INFORMATION SYSTEMQ1

MAHIDASHT PLAINQ1

Abstract

Background and Objective: Rainfall and groundwater level are important parameters of DRASTIC INDEX, thus their time-series were examined using TIME SERIES analysis for MAHIDASHT PLAIN vulnerability in Kermanshah Province.Materials and Methods: DRASTIC model is a quantitative model that seven parameters for transfer of pollution are considered including depth of water table, net recharge, aquifer, soil, topography, unsaturated environment and hydraulic conductivity. The data was prepared in seven-layer information in Arc GIS10 software. After integration, weighting and ranking, DRASTIC INDEX for the region was estimated between 34 and 120. Precipitation is an uncertainty factor in water projects. Precipitation is the origin of other uncertainties such as surface runoff, recharge, and water balance. Underground water level and recharge are main factorsin the DRASTIC model that are considered as component hydrological variables and TIME SERIES, thus, they were analyzed and forecasted using stochastic methods on the horizon in 2032.Results: Finally, selection of the data predicted in 2032 and the creation of dual new depth to the water table and recharge, as well as the weighting and ranking of the repeated placement in the DRASTIC model, another vulnerabilities map is prepared in which the index DRASTIC was 34 to 110 units.Conclusion: Results showed that due to further decrease of water table and reduced rainfall, DRASTIC INDEX will be less in the next 18 years (2014-2032).

Cites

NUMERICAL SIMULATION OF GROUNDWATER FLOW PATH IN HAMEDAN-BAHAR AQUIFER

References

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APA: Copy

GORGANI, SH., BAFKAR, A., & FATEMI, S.E.. (2017). PREDICTION OF GROUNDWATER POLLUTION POTENTIAL USING THE DRASTIC INDEX AND ANNUAL TIME SERIES ANALYSIS (CASE STUDY: PLAIN MAHIDASHT KERMANSHAH). IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, 10(3 ), 317-328. SID. https://sid.ir/paper/145686/en

Vancouver: Copy

GORGANI SH., BAFKAR A., FATEMI S.E.. PREDICTION OF GROUNDWATER POLLUTION POTENTIAL USING THE DRASTIC INDEX AND ANNUAL TIME SERIES ANALYSIS (CASE STUDY: PLAIN MAHIDASHT KERMANSHAH). IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT[Internet]. 2017;10(3 ):317-328. Available from: https://sid.ir/paper/145686/en

IEEE: Copy

SH. GORGANI, A. BAFKAR, and S.E. FATEMI, “PREDICTION OF GROUNDWATER POLLUTION POTENTIAL USING THE DRASTIC INDEX AND ANNUAL TIME SERIES ANALYSIS (CASE STUDY: PLAIN MAHIDASHT KERMANSHAH),” IRANIAN JOURNAL OF HEALTH AND ENVIRONMENT, vol. 10, no. 3 , pp. 317–328, 2017, [Online]. Available: https://sid.ir/paper/145686/en

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