干旱区生态环境知识资源中心(Arid): Geospatial evaluation and bio-remediation of heavy metal-contaminated soils in arid zones

Arid

DOI	10.3389/fenvs.2024.1381409
	Geospatial evaluation and bio-remediation of heavy metal-contaminated soils in arid zones
	Mohamed, Elsayed Said; Jalhoum, Mohamed E. M.; Hendawy, Ehab; El-Adly, Ahmed M.; Nawar, Said; Rebouh, Nazih Y.; Saleh, Ahmed; Shokr, Mohamed. S.
通讯作者	Mohamed, ES
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2024
卷号	12
英文摘要	Introduction: Soil pollution directly impacts food quality and the lives of both humans and animals. The concentration of heavy metals in Egypt's drain-side soils is rising, which is detrimental to the quality of the soil and crops. The key to reducing the detrimental effects on the ecosystem is having accurate maps of the spatial distribution of heavy metals and the subsequent use of environmentally sustainable remediation approaches. The objective of this work is to assess soil contamination utilizing spatial mapping of heavy metals, determine contamination levels using Principal Component Analysis (PCA), and calculate both the contamination severity and the potential for bioremediation in the soils surrounding the main drain of Bahr El-Baqar. Furthermore, evaluating the capacity of microorganisms (bacteria, fungi, and Actinomycetes) to degrade heavy elements in the soil.Methodology: 146 soil sample locations were randomly selected near the Bahr El-Baqar drain to examine the degree of soil pollution Ordinary Kriging (OK), method was used to map and analyze the spatial distribution of soil contamination by seven heavy metals (Cr, Fe, Zn, Cd, Pb, As, and Ni). Modified contamination degree (mCd) and PCA were used to assess the research area's soil pollution levels. The process involved isolating, identifying, and classifying the microorganisms present in the soil of the study area. The study findings showed that variography suggested the Stable model effectively matched pH, SOM, and Cd values. Furthermore, the exponential model proved suitable for predicting Fe, Pb and Ni, while the spherical model was appropriate for Ni, Cr, and Zn.Results: The study revealed three levels of contamination, with an extremely high degree (EHDC) affecting approximately 97.49% of the area. The EHDC exhibited average concentrations of heavy metals: 79.23 +/- 17.81 for Cr, 20,014.08 +/- 4545.91 for Fe, 201.31 +/- 112.97 for Zn, 1.33 +/- 1.37 for Cd, 40.96 +/- 26.36 for Pb, 211.47 +/- 13.96 for As, and 46.15 +/- 9.72 for Ni. Isolation and identification of microorganisms showed a significant influence on the breakdown of both organic and inorganic pollutants in the environment. The study demonstrated exceptionally high removal efficiency for As and Cr, with a removal efficiency reached 100%, achieved by Rhizopus oryzae, Pseudomonas aeruginosa, and Bacillus thuringiensis.Conclusion: This study has designated management zones for soil contamination by mapping soil pollutants, geo-identified them, and found potential microorganisms that could significantly reduce soil pollution levels.
英文关键词	wastewater GIS PCA novel bioremediation Nile Delta
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001209466400001
WOS关键词	TRACE-ELEMENT INPUTS ; AGRICULTURAL SOILS ; BIOSORPTION ; VARIABILITY ; INVENTORY ; SEDIMENTS ; AREA
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403830
推荐引用方式 GB/T 7714	Mohamed, Elsayed Said,Jalhoum, Mohamed E. M.,Hendawy, Ehab,et al. Geospatial evaluation and bio-remediation of heavy metal-contaminated soils in arid zones[J],2024,12.
APA	Mohamed, Elsayed Said.,Jalhoum, Mohamed E. M..,Hendawy, Ehab.,El-Adly, Ahmed M..,Nawar, Said.,...&Shokr, Mohamed. S..(2024).Geospatial evaluation and bio-remediation of heavy metal-contaminated soils in arid zones.FRONTIERS IN ENVIRONMENTAL SCIENCE,12.
MLA	Mohamed, Elsayed Said,et al."Geospatial evaluation and bio-remediation of heavy metal-contaminated soils in arid zones".FRONTIERS IN ENVIRONMENTAL SCIENCE 12(2024).