EVALUATION OF SLOPE FAILURE POTENTIAL IN FOREST ROADS (CASE STUDY: 46TH WATERSHED, NORTH OF IRAN)

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.

AZIZI Z.; HOSSEINI A.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Forest and Poplar Research Year:2015 | Volume:23 | Issue:3 Page(s): 573-582

Download Full-Text

Persian Verion

View:

828

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF SLOPE FAILURE POTENTIAL IN FOREST ROADS (CASE STUDY: 46TH WATERSHED, NORTH OF IRAN)

Author(s)

AZIZI Z. | HOSSEINI A. | Issue Writer Certificate

Keywords

FOREST ROADQ2

SLOPE FAILUREQ2

ARTIFICIAL NEURAL NETWORKQ1

Abstract

FOREST ROAD networks are the essential bases of modern and sustainable production within Hyrcanian forests of Iran. In most mountainous areas, the SLOPE FAILUREs are often caused by the construction of FOREST ROAD on steep terrains. Therefore, it is crucial to locate FOREST ROADs on stable slopes. It should be additionally noted that high-structured FOREST ROADs constructed on steep terrain often end up with failure during cut and fill operations. In this study, a model was developed using the ARTIFICIAL NEURAL NETWORK to evaluate potential failure of cut and fill in forest. Probability of SLOPE FAILURE was classified in four categories, including no, low, medium and high SLOPE FAILUREs. The overall result showed that low SLOPE FAILURE category (with a probability of 39.8%) has high occurrences, whereas high SLOPE FAILURE category (with probability of 13.3%) was associated with fewer occurrences. As modelled by ANN, lowest and highest accuracies for classified SLOPE FAILURE were 92.6% (in no SLOPE FAILURE category) and 78.6% (in medium SLOPE FAILURE category) respectively. Based on importance indices, gradient of trench, natural slope of area and the height of the trench were associated with the greatest influences on the SLOPE FAILURE, while the soil type and number of trees turned out to be of least effect on the SLOPE FAILURE occurrence.

Cites

No record.

References

No record.

Cite

APA: Copy

AZIZI, Z., & HOSSEINI, A.. (2015). EVALUATION OF SLOPE FAILURE POTENTIAL IN FOREST ROADS (CASE STUDY: 46^TH WATERSHED, NORTH OF IRAN). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 23(3), 573-582. SID. https://sid.ir/paper/111504/en

Vancouver: Copy

AZIZI Z., HOSSEINI A.. EVALUATION OF SLOPE FAILURE POTENTIAL IN FOREST ROADS (CASE STUDY: 46^TH WATERSHED, NORTH OF IRAN). IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2015;23(3):573-582. Available from: https://sid.ir/paper/111504/en

IEEE: Copy

Z. AZIZI, and A. HOSSEINI, “EVALUATION OF SLOPE FAILURE POTENTIAL IN FOREST ROADS (CASE STUDY: 46^TH WATERSHED, NORTH OF IRAN),” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 23, no. 3, pp. 573–582, 2015, [Online]. Available: https://sid.ir/paper/111504/en

Related Journal Papers