Geostatistical Analysis and Zoning of Soil Primary Particles for optimal 
land use management.
(Case Study: Shabankareh Plain, Bushehr 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.

Pouzesh Shirazi Morteza; Abtahi Seyed Ali; Bagher Nejad Majid; Mousavi Seyed Ali Akbar; Navidi Mir Naser

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

Journal Paper

Paper Information

Journal: APPLIED SOIL RESEARCH Year:2023 | Volume:11 | Issue:1 Page(s): 125-141

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Geostatistical Analysis and Zoning of Soil Primary Particles for optimal land use management. (Case Study: Shabankareh Plain, Bushehr Iran)

Author(s)

Keywords

Geostatistical methodsQ4

Old and new soil texture trianglesQ4

Physiographic unitsQ4

Soil particles digital mappingQ4

Abstract

Over the last three decades, there has been a general tendency to change methods in research on soil resource management from conventional and mainly qualitative methods to Quantitative ones based on spatial correlation models which are called digital soil mapping (DSM). The present study was carried out in Shabankareh plain with an area of 15,000 hectares with different Physiographic units that are mainly used as agricultural farms in Bushehr province, Southern Iran. Target sites (172 points) were selected for soil sampling at depths of 0-30 and 30-60 based on hypothetical networking on satellite images and visual differences observed in the study area. Digital soil texture maps were drawn for both old soil texture triangle (include sand, silt and clay particles) and the new one (include Geometric mean particle diameter and geometric standard deviation of soil particle diameter). Soil texture is considered as one of the most important characteristics in determining the type and density of agricultural activities and types of land use. Two geostatistical programs include GS+ and ArcGIS and various methods of data estimators such as inverse distance weighting and ordinary Kriging method were used in this project. The results showed the strongest spatial structure class was observed in geometric standard deviation of the soil particle diameter (0.48) and the weakest in silt (0.73). The highest and lowest effective range among soil texture parameters were related to soil clay particles and geometric standard deviation of soil particle diameter with 684 and 336 meters, respectively. Number of drilled profiles (11 ones) was based on digital uniformity map. The generated digital maps can provide spatial information of important soil properties such as permeability and drainage, water holding capacity, fertility, soil erosion and salinity which increases the accuracy in the optimal management of agricultural lands.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops