Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Avand Mohammad taghi; JANIZADEH SAEED; Farzin Mohsen

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

Journal Paper

Paper Information

Journal: Journal of Range and Watershed Managment Year:2019 | Volume:72 | Issue:3 Page(s): 609-623

Download Full-Text

Persian Verion

View:

389

Download:

Cites:

Information Journal Paper

Title

Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models

Author(s)

Avand Mohammad taghi | JANIZADEH SAEED | Farzin Mohsen | Issue Writer Certificate

Keywords

Mapping potentialQ1

data miningQ1

random forestQ1

generalized linear modelQ1

Yasouj-SisakhtQ1

Abstract

Increasing population and agricultural development need dramatically water resources groundwater resources, therefore, are increasingly being considered, especially in arid and semi-arid regions. Aim of this research is Mapping potential of groundwater resources on Yasouj-Sisakht region using data mining method random forest (RF) and Generalized Linear Statistical Model (GLM). For this purpose. For this purpose, information layers including slope, slope direction, slope length, aspect, topographic wetness index (TWI), distance from fault, distance from the stream, rainfall, land use, lithology, topographic position index (TPI) and stream power index (SPI) as the main factors influencing groundwater potential were identified and developed in ArcGIS and SAGAGIS software. From the distribution of 263 springs in the area, 70% (253 springs) were used as educational springs and 30% (109 springs) were used as experimental springs. The results showed that the level of underground water with low, medium, high and very high potential in the map of the random forest was 37. 78, 22. 22, 18. 89 and 21. 11%, respectively, and in the generalization linear model were 14. 49, 32. 04, 31. 11 and 22. 36%, respectively. Moreover, Sensitivity Analysis show that the factors affecting both methods are rainfall, altitude and distance from the fault factors. The accuracy of the data mining models used in this research was also evaluated using a relative performance curve (ROC). The area under curve (AUC) for both RF and GLM models is 92% and 65%, respectively. The accuracy of RF model, therefore, mapping groundwater potential in the study area is more than GLM model.

Cites

No record.

References

No record.

Cite

APA: Copy

Avand, Mohammad taghi, JANIZADEH, SAEED, & Farzin, Mohsen. (2019). Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 72(3 ), 609-623. SID. https://sid.ir/paper/373280/en

Vancouver: Copy

Avand Mohammad taghi, JANIZADEH SAEED, Farzin Mohsen. Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2019;72(3 ):609-623. Available from: https://sid.ir/paper/373280/en

IEEE: Copy

Mohammad taghi Avand, SAEED JANIZADEH, and Mohsen Farzin, “Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 72, no. 3 , pp. 609–623, 2019, [Online]. Available: https://sid.ir/paper/373280/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops