NUMERAL ANALYSIS OF SOIL POLLUTION DISTRIBUTION OF HEAVY METALS IN ANGURAN AREA, ZANJAN

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.

ABD ELAHI S.; DELAVAR M.A.; SHEKARI P.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Year:2013 | Volume:26 | Issue:5 Page(s): 1140-1151

Download Full-Text

Persian Verion

View:

785

Download:

Cites:

Information Journal Paper

Title

NUMERAL ANALYSIS OF SOIL POLLUTION DISTRIBUTION OF HEAVY METALS IN ANGURAN AREA, ZANJAN

Author(s)

ABD ELAHI S. | DELAVAR M.A. | SHEKARI P. | Issue Writer Certificate

Keywords

ALGORITHMQ2

FUZZY CLUSTERINGQ2

DANDIQ2

EXTRAGRADEQ2

Abstract

Increasing soil pollution due to heavy metals is a major concern of present day soil research. This study conducted to know intensity and spatial pattern of soil heavy metals pollution in a 10, 000 ha area of Anguran region near Zanjan. A number of 315 surface (0-10 cm) samples collected at nodes of a 500 meter equilateral grid. Beside HNO3-extracted Pb, Cu, Ni, Cd and Zn content, EC, pH, OC and CaCO3 of the samples were determined. To classify data in taxonomic space, a fuzzy c-means with EXTRAGRADEs clustering ALGORITHM ran on the data using several fuzziness exponents (F). Plausible fuzzy clusters obtained F=1.3. To find eight as the optimal number of classes from a 2-10 assemblage, fuzziness validation functions F, H, and S were used. Scrutiny of class centroids and membership values revealed that though number of variables was not numerous, the ALGORITHM clustered data sensitively. Spatial distribution of classes mapped through geostatistical analysis of membership values. Though EXTRAGRADE class embraced extreme values, still all centroids of regular classes showed severe pollution. Most polluted classes C, E, F and H located at center to southeast, while A, B, D and G covered northern and western parts of the study area. EXTRAGRADE class widely spread in the area that confirmed interspersed outliers among all others. Major part of EXTRAGRADE class lied across southeastern part of the area. Results of the study showed that numerical classification of soil pollution is rather realistic, thus provides a pragmatic approach to the problem.

Cites

No record.

References

Cite

APA: Copy

ABD ELAHI, S., DELAVAR, M.A., & SHEKARI, P.. (2013). NUMERAL ANALYSIS OF SOIL POLLUTION DISTRIBUTION OF HEAVY METALS IN ANGURAN AREA, ZANJAN. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(5), 1140-1151. SID. https://sid.ir/paper/141108/en

Vancouver: Copy

ABD ELAHI S., DELAVAR M.A., SHEKARI P.. NUMERAL ANALYSIS OF SOIL POLLUTION DISTRIBUTION OF HEAVY METALS IN ANGURAN AREA, ZANJAN. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2013;26(5):1140-1151. Available from: https://sid.ir/paper/141108/en

IEEE: Copy

S. ABD ELAHI, M.A. DELAVAR, and P. SHEKARI, “NUMERAL ANALYSIS OF SOIL POLLUTION DISTRIBUTION OF HEAVY METALS IN ANGURAN AREA, ZANJAN,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 26, no. 5, pp. 1140–1151, 2013, [Online]. Available: https://sid.ir/paper/141108/en

Related Journal Papers