Eyram Norgbey

Mr. Eyram Norgbey

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 January 2020 in Construction and Building Materials
Verified
Journal Article
Closed access
ENEyram Norgbey
Eyram Norgbey
JHJingyu Huang
Jingyu Huang
VHVolker Hirsch
Volker Hirsch
WLWen Jie Liu
Wen Jie Liu
MWMeng Wang
Meng Wang
PNPhilip Nti Nkrumah
Philip Nti Nkrumah

14 November 2019 in 3 Biotech
Verified
Journal Article
Closed access
PDF file
ANAmechi S. Nwankwegu
Amechi S. Nwankwegu
Yiping LiYiping Li
Yiping Li
YHYanan Huang
Yanan Huang
JWJin Wei
Jin Wei
ENEyram Norgbey
Eyram Norgbey
KWKai Wang
Kai Wang

1 July 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
ENEyram Norgbey
Eyram Norgbey
Yiping LiYiping Li
Yiping Li
ZYZhu Ya
Zhu Ya
RLRonghui Li
Ronghui Li
ANAmechi S. Nwankwegu
Amechi S. Nwankwegu
LSLinda Sarpong
Linda Sarpong

20 January 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Adharsh RajasekarAdharsh Rajasekar
Adharsh Rajasekar
RMRaphinos Tackmore Murava
Raphinos Tackmore Murava
ENEyram Norgbey
Eyram Norgbey
XZXukun Zhu
Xukun Zhu
This comprehensive study aimed to evaluate the water quality and sediment contamination in the Chuhe River in Nanjing. The spatial assessment of 10 samples collected in September highlighted that, in surface water, Copper (Cu) > Nickel (Ni) > Zinc (Zn) > Chromium (Cr) > Lead (Pb) > Arsenic (As) > Cadmium (Cd) > Mercury (Hg), whereas in sediments, Zn > Cr > Cu > Pb > Ni > As > Cd > Hg. The coefficient of variation (CV) for Ni and Zn in surface water was >15, whereas As, Cu, Pb, and Ni had a CV that was higher than 15 in sediments, indicating variability in contamination sources. The Pollution Load Index values ranged between 2.16 and 3.05, reflecting varying contamination levels across samples. The Geoaccumulation Index data also showed moderate-to-considerable contamination, especially for elements such as Cd and Cu. Correlation analyses in water and sediments unearthed significant relationships, with notable links between Cu and Pb in the water and strong correlations between As and Cu and between Cr and Ni in sediments. In sediments, Total Nitrogen and Phosphorus were significantly correlated with As, Cu, Pb, and Ni. The Potential Ecological Response Index for sediments indicated that they are at medium to high risk (307.47 ± 33.17) and could be potentially detrimental to aquatic life in the tributary. The tributary, influenced by agricultural runoff, residential areas, and other anthropogenic activities, showed that despite Nemerow pollution index values for water samples being below 1, sediment analysis indicated areas of concern. Principal Component Analysis (PCA) was conducted to identify the potential sources of heavy metal contamination. In surface water, shared negative loadings on PC 1 (60.11%) indicated a unified influence, likely from agricultural runoff, while PC 2 (14.26%) revealed additional complexities. Sediments exhibited a unique signature on PC 1 (67.05%), associated with cumulative agricultural impacts, with PC 2 (18.08%) providing insights into nuanced factors, such as sediment composition and dynamic interactions. These findings offer a complete insight into the Chuhe River tributary’s condition, underlining the urgency for ongoing monitoring and potential remediation measures.

1 June 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
YHYanan Huang
Yanan Huang
Yiping LiYiping Li
Yiping Li
DJDaobin Ji
Daobin Ji
ANAmechi S. Nwankwegu
Amechi S. Nwankwegu
QLQiuying Lai
Qiuying Lai
ENEyram Norgbey
Eyram Norgbey

23 March 2022 in Chemosphere
Verified
Journal Article
Closed access
POPrince Atta Opoku
Prince Atta Opoku
HJHuang Jingyu
Huang Jingyu
LYLi Yi
Li Yi
LGLi Guang
Li Guang
ENEyram Norgbey
Eyram Norgbey