Bivariate Map of Zinc Pollutant (Zn) in Sea Al-Najaf, via Geographic Information System

• Published in: IOP conference series. Earth and environmental science Vol. 1215; no. 1; pp. 12009 - 12020
• Main Authors: Jasim, Ali Kareem, Walli, Hazim A.
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.07.2023
• Subjects: Aluminum; Bivariate analysis; Bivariate Map; Contamination; Geographic information system; Geographic information systems; Indicators; Lakes; Metal concentrations; Najaf Sea; Pollution; Pollution index; Remote sensing; Sediments; Soil analysis; Soil contamination; Soil pollution; Statistical analysis; Zinc; Zinc contamination; Iraq; An Najaf Iraq
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/1215/1/012009

Abstract A case study of 60 samples of sediment in the Sea Najaf. With the analysis of three different types of pollution indices (pollution factor, geographic accumulation index, and enrichment factor), The results of the analysis showed a significant difference in the presence of zinc in the different study areas. The high level of zinc was (270) μg/g, and the low was (99) μg/g. This indicates that the soil was contaminated, Analysis of contamination indicators in different areas to find out what zinc could be in the sediment and where it came from, The study revealed that metal concentrations were frequently greater along the lake’s edge. The sediments are the source of the zinc pollution; several contamination indicators were over the limit on the beaches but slightly below the maximum in the lake. The hot spot of ArcGIS Pro This application performs data queries to determine which parameters for hot spot analysis provide the greatest performance statistics and then generates a map with event points or weighted features indicating statistically significant hot and cold places. The results show the distribution of zinc on a map. It can be found in high concentrations in nearby farms.