Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman

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.

Nezhadafzali Keramat; Shahrokhi Mohammadreza; Bayatani Fateme

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

Journal Paper

Paper Information

Journal: JOURNAL OF NATURAL ENVIRONMENT HAZARDS Year:2019 | Volume:8 | Issue:20 Page(s): 21-38

Download Full-Text

Persian Verion

View:

510

Download:

Cites:

Information Journal Paper

Title

Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman

Author(s)

Nezhadafzali Keramat | Shahrokhi Mohammadreza | Bayatani Fateme | Issue Writer Certificate

Keywords

Soil erosionQ2

RUSLEQ1

topographyQ2

erosionQ1

GISQ2

southern KermanQ1

Abstract

The soil is one of the most important factors of production that has a great influence on human economic and social life. The surface of the earth is generally covered by soil and other surface deposits. Soil erosion is one of the most important problems and problems we face today. Increasing exploitation and lack of proper human management of the natural environment have a great effect on the intensification of soil degradation and erosion processes. In this research, the effective parameters analysis of erosion and sediment production in Dakehah basin with a total area of 9923. 2 ha in southern Kerman province was studied using the Revised Universal Soil erosion Model (RUSLE). Data and tools used in the research include data from meteorological stations, digital elevation model (DEM), ETM 2015 satellite imagery, GIS and remote sensing (RS) It should be. By studying the effective factors in this model, which includes rainfall erosivity factor, soil erodibility factor, topographic factor, and vegetation, the purpose of this study is to estimate the annual Soil erosion in the study area. The erosion rate of the basin is estimated. Accordingly, annual Soil erosion in the whole study area is estimated at 67 tons per hectare per year. The results of this study show that the highest effect on the estimation of erosion, a topographic factor with the highest coefficient of explanation was 92. 6 In this research, the effectiveness of RUSLE technologies of annual Soil erosion is confirmed by the new model of GIS and remote sensing for quantitative estimation of Soil erosion values.

Cites

No record.

References

No record.

Cite

APA: Copy

Nezhadafzali, Keramat, Shahrokhi, Mohammadreza, & Bayatani, Fateme. (2019). Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman. JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 8(20 ), 21-38. SID. https://sid.ir/paper/373685/en

Vancouver: Copy

Nezhadafzali Keramat, Shahrokhi Mohammadreza, Bayatani Fateme. Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman. JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2019;8(20 ):21-38. Available from: https://sid.ir/paper/373685/en

IEEE: Copy

Keramat Nezhadafzali, Mohammadreza Shahrokhi, and Fateme Bayatani, “Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman,” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 8, no. 20 , pp. 21–38, 2019, [Online]. Available: https://sid.ir/paper/373685/en

Related Journal Papers