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228149

Soil Heavy Metals Pollution: Indexing Approach Assessment and Spatial Distribution (Assanahrah, El-Beheira Governorate, Egypt)

Article

Last updated: 01 Jan 2025

Subjects

-

Tags

Digital Soil Mapping, soil evaluation and land use change

Abstract

Agricultural soils are receiving a tremendous amount of pollutants that lead to land degradation. Therefore, it is an urgent requirement to determine and mapping the soil heavy metals content, that is the first task of soil remediation. Assanahrah area that locates at the north part of El-Beheira governorate (North of Egypt) is surrounding by many industrial activities. Therefore, it was chosen to be the pilot area to study heavy metals soil pollution.

The heavy metal concentrations (Cd, Cr, Ni, Pb, and Zn) were determined and the values for the Single Pollution Index (PlS), Nemerow Comprehensive Index (PIN), Geoaccumulation Index (PIGeo), and Improved Nemerow Comprehensive Index (PIIN) were calculated based on their values to determine the pollution level of the study area.

The results indicated that the (PIS) had the averaged values of 25.41 (Cd), 4.77 (Cr), 11.05 (Ni), 0.63 (Pb), and 2.65 (Zn) to indicate that the studied soil could be generally described as Cd, Cr, Ni-heavy polluted, Zn-slightly polluted, and Pb-no polluted.

Soil heavy metals pollution indices ((PIS), (PIN), (PIGeo), and (PIIN)) marked Cd as the most pollutant heavy metal. Cr single pollution and nemerow comprehensive indices (PIS_Cr and PIN_Cr) located the studied soil into heavy pollution class (HP). Basing on single pollution (PIS_Ni), nemerow comprehensive (PIN_Ni) and improved nemerow (PIIN_Ni) indices, the studied soils were represented Ni-heavy pollution and heavily contaminated classes. All indices revealed that Pb could be nearly considered as non-pollutant heavy metal values. PIS_Zn index located the studied soils in slight pollution class.

The maps which generated by Kriging methods of PIS aspects indicated that PIS_Ni gradient had extremely biased distribution in the west direction. Contrary, Cd, Pb, and Zn had uniform spatial distribution. PIS_Cr had a relatively biased distribution toward to the north and east.

The status of heavy metals soil pollution can be considered as a system that can be studied by its parameters.

DOI

10.21608/ejss.2022.119364.1488

Keywords

soil heavy metals, Indexing method, Pollution index, Pollution indices gradient and aspects, and Geographic Information System

Authors

First Name

Abdrabelnabi

Last Name

Abd-El-Hady

MiddleName

Mohamed

Affiliation

Dept. Natural Resources & Agricultural Engineering Faculty of Agriculture, Damanhour University

Email

am.abdelhady@agr.dmu.edu.eg

City

-

Orcid

-

First Name

Emad

Last Name

Abdelaty

MiddleName

F

Affiliation

Damanhour University, Faculty of Agriculture, Department of Natural Resources and Agricultural Engineering, Alabaadia Assembl

Email

emad.fawzy@agr.dmu.edu.eg

City

Damanhour

Orcid

0000-0003-1693-5647

Volume

62

Article Issue

1

Related Issue

31495

Issue Date

2022-03-01

Receive Date

2022-01-31

Publish Date

2022-03-30

Page Start

19

Page End

39

Print ISSN

0302-6701

Online ISSN

2357-0369

Link

https://ejss.journals.ekb.eg/article_228149.html

Detail API

https://ejss.journals.ekb.eg/service?article_code=228149

Order

228,149

Type

Original Article

Type Code

19

Publication Type

Journal

Publication Title

Egyptian Journal of Soil Science

Publication Link

https://ejss.journals.ekb.eg/

MainTitle

Soil Heavy Metals Pollution: Indexing Approach Assessment and Spatial Distribution (Assanahrah, El-Beheira Governorate, Egypt)

Details

Type

Article

Created At

22 Jan 2023