Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Google Scholar citation report
Citations : 5125

Journal of Earth Science & Climatic Change received 5125 citations as per Google Scholar report

Journal of Earth Science & Climatic Change peer review process verified at publons
Indexed In
  • CAS Source Index (CASSI)
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Online Access to Research in the Environment (OARE)
  • Open J Gate
  • Genamics JournalSeek
  • JournalTOCs
  • Ulrich's Periodicals Directory
  • Access to Global Online Research in Agriculture (AGORA)
  • Centre for Agriculture and Biosciences International (CABI)
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • Proquest Summons
  • SWB online catalog
  • Publons
  • Euro Pub
  • ICMJE
Share This Page

Multivariate statistical analysis and assessment of metal contamination in the Gulf of Aqaba Soils, Northwestern Saudi Arabia

2nd International Conference on Geology

Habes Ghrefat, Haider Zaman, Awni Batayneh, Yousef Nazzal, Saed Mogren, EslamElawadi and Ahmad Al-Taani

King Saud University, Saudi Arabia Taibah University, Saudi Arabia Yarmouk University, Jordan

Posters & Accepted Abstracts: J Earth Sci Clim Change

DOI: 10.4172/2157-7617.C1.022

Abstract
A total of 23 soil samples were collected from the scattered agricultural farms along the Gulf of Aqaba coast. In addition, 25 granitic and marine sedimentary samples were collected from the study area. Following their treatments by total digestion technique, these samples were analyzed for different metals (such as Pb, Ni, Zn, Co, Cr, Mn, Fe, Hg, Mo, and Cd) using the inductively coupled plasma. Relationships among these metals for the study area were then examined by correlation analysis, principal component analysis, and hierarchical cluster analysis. Results from correlation analyses reveal a variable degree of correlations among different metals in the study area. Principal component analysis identified two factors, which are responsible for ~60% of the total variance of the data set. These two factors allowed to group the selected metals according to their geochemical features. Hierarchical cluster analysis classified the studied metals into different groups based on the similarity of their characteristics. The level of metal contamination in the study area has been assessed using enrichment factor and geoaccumulation index, showing relatively high percentage of enriched metals in the study area. The studied rock samples show a significant variation in mean metal contents from one rock type to another, but their results are in good agreement with those obtained from soil samples. High concentration of Cd in the studied soil samples is mainly due to extensive use of fertilizers and pesticides in the agricultural farms or due to sewage.
Biography

Email: habes@ksu.edu.sa

Relevant Topics
Top