Alshymaa Mohammad Guda

Dr. Alshymaa Mohammad Guda

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2020 in CATENA
Verified
Journal Article
Closed access
AGAlshymaa Mohammad Guda
Alshymaa Mohammad Guda
IEI.A. El-Hemaly
I.A. El-Hemaly
EAE.M. Abdel Aal
E.M. Abdel Aal
HOH. Odah
H. Odah
EAE. Appel
E. Appel
AAA. Awad
A. Awad

1 July 2015 in International Journal of Mining Science and Technology
Verified
Journal Article
Closed access
SIS.S. Ibrahim
S.S. Ibrahim
AKA.M. El Kammar
A.M. El Kammar
AGAlshymaa Mohammad Guda
Alshymaa Mohammad Guda

27 December 2017 in Particulate Science and Technology
Verified
Journal Article
Closed access
SIS. S. Ibrahim
S. S. Ibrahim
AKA. M. El Kammar
A. M. El Kammar
AGAlshymaa Mohammad Guda
Alshymaa Mohammad Guda
TBT. R. Boulos
T. R. Boulos
Ahmed SalehAhmed Saleh
Ahmed Saleh

16 February 2024 in Environmental Monitoring and Assessment
Verified
Journal Article
Open access
PDF file
AGAlshymaa Mohammad Guda
Alshymaa Mohammad Guda
AKAhmed Mohamed El Kammar
Ahmed Mohamed El Kammar
HSHend Saeed Abu Salem
Hend Saeed Abu Salem
AKAtef Mohammady Abu Khatita
Atef Mohammady Abu Khatita
MMMohamed Abdelwahed Mohamed
Mohamed Abdelwahed Mohamed
EAErwin Appel
Erwin Appel
Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susceptibility ( $$x$$ x ) and HM assessment in a complex area in the Nile Delta, where geogenic input, land use, and various industries with different fly ash and surface water emissions interfere. Statistical analysis discriminates between the effects of lithologic elements and the concentrations of toxic anthropogenic elements. The studied elements are classified into lithogenic and anthropogenic-related (HMs, Au industry, and fertilizers industry) groups with maximum contamination levels of eight anthropogenic-related and highly toxic PTEs (Cu, Zn, Mo, Cd, Sb, Pb, Hg, and As) in the Akrasha industrial area (pollution load index = 15.84). Considering the whole data set, the numerical correlation of $$x$$ x with most PTE concentrations and the pollution load index (PLI) is weak, while it is moderate to strong with lithogenic elements. However, a comparison of lithogenic elements and PTE concentrations along with x-values in two separate clusters supports the correspondence of lithology with elevated x-values in silt and clay-rich soil samples as well as HM concentration in industrial sandy soils. Correspondence between magnetic maps and chemistry data with land use reflects the potential of magnetic proxy methods for qualitative PTE pollution pre-delineation of the polluted spots, provided that lithological conditions are carefully considered.