Development of DRASTIC model using artificial intelligence on the potential of aquifer contamination in semi-arid regions

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Eftekhari Mobin; Eslaminezhad Seyed Ahmad; Haji Elyasi Ali; AKBARI MOHAMMAD

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2021 | Volume:8 | Issue:3 Page(s): 651-665

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Information Journal Paper

Title

Development of DRASTIC model using artificial intelligence on the potential of aquifer contamination in semi-arid regions

Author(s)

Eftekhari Mobin | Eslaminezhad Seyed Ahmad | Haji Elyasi Ali | AKBARI MOHAMMAD | Issue Writer Certificate

Keywords

Vulnerability

DRASTIC model

Nitrate contamination

Support vector machine

Abstract

Due to rapid economic growth and over-exploitation of groundwater, Nitrate contamination in groundwater has become very serious. The main purpose of this study is to develop a DRASTIC model to identify the Vulnerability of groundwater to Nitrate contamination. Therefore, the standard DRASTIC model was presented considering the land use factor (DRASTIC-LU model) to demonstrate the Vulnerability of groundwater. The novelty of the present study is the development of DRASTIC and DRASTIC-LU models by Support vector machine (SVM) to prevent the error of overlap and index methods. For implementation and validation of the models, 21 samples of observation wells were collected in Birjand plain aquifer. RMSE values for DRASTIC, DRASTIC-LU, DRASTIC+SVM, and DRASTIC-LU+SVM models were calculated to be 0. 821, 0. 743, 0. 612, and 0. 490, respectively, which was found that the hybrid models using SVM shows a better correlation between the amount of Vulnerability and Nitrate contamination. It was also found that the DRASTIC-LU+SVM model has a higher accuracy for assessing the Vulnerability of groundwater to nitrate.

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APA: Copy

Eftekhari, Mobin, Eslaminezhad, Seyed Ahmad, Haji Elyasi, Ali, & AKBARI, MOHAMMAD. (2021). Development of DRASTIC model using artificial intelligence on the potential of aquifer contamination in semi-arid regions. IRANIAN JOURNAL OF ECOHYDROLOGY, 8(3 ), 651-665. SID. https://sid.ir/paper/1059252/en

Vancouver: Copy

Eftekhari Mobin, Eslaminezhad Seyed Ahmad, Haji Elyasi Ali, AKBARI MOHAMMAD. Development of DRASTIC model using artificial intelligence on the potential of aquifer contamination in semi-arid regions. IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2021;8(3 ):651-665. Available from: https://sid.ir/paper/1059252/en

IEEE: Copy

Mobin Eftekhari, Seyed Ahmad Eslaminezhad, Ali Haji Elyasi, and MOHAMMAD AKBARI, “Development of DRASTIC model using artificial intelligence on the potential of aquifer contamination in semi-arid regions,” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 8, no. 3 , pp. 651–665, 2021, [Online]. Available: https://sid.ir/paper/1059252/en

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