Evaluation of a machine-based learning method to estimate the rate of nitrate penetration and groundwater contamination

Author:

Rokhshad Amir Mohammad,Khashei Siuki AbbasORCID,Yaghoobzadeh Mostafa

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference34 articles.

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2. Ahmadi J, Akhondi L, Abbasi H, Khashei-Siuki A, Alimadadi M (2013) Determination of aquifer vulnerability using DRASTIC model and a single parameter sensitivity analysis and acts and omissions case study: Salafchegan-Neyzar Plai. J Water Soil Conserv 20(3):1–25 (In Persian)

3. Aller L, Bennett T, Lehr JH, Petty RJ, Hackett G (1987) DRASTIC: A standardized system for evaluating ground water pollution potential Using Hydrogeologic Settings, EPA 600/2-87-035. Ada, Oklahoma: U.S. Environmental Protection Agency

4. Arezoomand Omidi Langrudi M, Khashei Siuki A, Javadi S, Hashemi SR (2016) Evaluation of vulnerability of aquifers by improved fuzzy drastic method: case study: Aastane Kochesfahan plain in Iran. Ain Shams Engineering Journal 7(1):11–20

5. Asefi M, Radmanesh F, Zarei H (2014) Optimization of DRASTIC model for vulnerability assessment of groundwater resources using analytical hierarchy process (case study: Andimeshk Plain). Irrigation Sciences and Engineering 37(1):55–67 (In Persian)

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