Integrated assessment of the heavy metal pollution status and potential ecological risk in the Lagos Lagoon, South West, Nigeria

2017 ◽  
Vol 24 (2) ◽  
pp. 377-397 ◽  
Author(s):  
Bawa-Allah Kafilat Adebola ◽  
Saliu Joseph Kayode ◽  
Otitoloju Adebayo Akeem
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Integrated Assessment ◽  
Potential Ecological Risk ◽  
South West ◽  
Pollution Status ◽  
Lagos Lagoon

scholarly journals Assessment on heavy metal pollution status in paddy soils in the northern Chengdu Plain and their potential ecological risk

2013 ◽  
Vol 33 (19) ◽  
pp. 6335-6344 ◽  
Author(s):  
秦鱼生 QIN Yusheng ◽  
喻华 YU Hua ◽  
冯文强 FENG Wenqiang ◽  
王正银 WANG Zhengyin ◽  
涂仕华 TU Shihua
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Potential Ecological Risk ◽  
Paddy Soils ◽  
Chengdu Plain ◽  
Pollution Status

scholarly journals Assessment of Heavy Metal Pollution Levels in Sediments and of Ecological Risk by Quality Indices, Applying a Case Study: The Lower Danube River, Romania

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1801
Author(s):  
Valentina Andreea Calmuc ◽  
Madalina Calmuc ◽  
Maxim Arseni ◽  
Catalina Maria Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Danube River ◽  
Pollution Indices

It is a well–known fact that heavy metal pollution in sediments causes serious problems not only in the Danube basin, but also in the large and small adjacent river streams. A suitable method for assessing the level of heavy metals and their toxicity in sediments is the calculation of pollution indices. The present research aims to assess heavy metal pollution in the Lower Danube surface sediments collected along the Danube course (between 180 and 60 km) up to the point where the Danube River flows into the Danube Delta Biosphere Reserve (a United Nations Educational, Scientific and Cultural Organization – UNESCO, protected area). In addition, this monitored area is one of the largest European hydrographic basins. Five heavy metals (Cd, Ni, Zn, Pb, Cu) were analyzed in two different seasons, i.e., the autumn of 2018 and the spring of 2019, using the Inductively Coupled Plasma Mass Spectrometry (ICP– MS) technique. Our assessment of heavy metal pollution revealed two correlated aspects: 1. a determination of the potential risks of heavy metals in sediments by calculating the Potential Ecological Risk Index (RI), and 2. an evaluation of the influence of anthropogenic activities on the level of heavy metal contamination in the surface sediments, using three specific pollution indices, namely, the Geo–Accumulation Index (Igeo), the Contamination Factor (CF), and the Pollution Load Index (PLI). The results of this pioneering research activity in the region highlighted the presence of moderate metal (Ni and Cd) pollution and a low potential ecological risk for the aquatic environment.

scholarly journals Potential ecological risk assessment and prediction of soil heavy-metal pollution around coal gangue dump

2014 ◽  
Vol 14 (6) ◽  
pp. 1599-1610 ◽  
Author(s):  
X. Jiang ◽  
W. X. Lu ◽  
H. Q. Zhao ◽  
Q. C. Yang ◽  
Z. P. Yang
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pearson Correlation ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Coal Gangue ◽  
Index Method ◽  
Soil Heavy Metal

Abstract. The aim of the present study is to evaluate the potential ecological risk and trend of soil heavy-metal pollution around a coal gangue dump in Jilin Province (Northeast China). The concentrations of Cd, Pb, Cu, Cr and Zn were monitored by inductively coupled plasma mass spectrometry (ICP-MS). The potential ecological risk index method developed by Hakanson (1980) was employed to assess the potential risk of heavy-metal pollution. The potential ecological risk in the order of ER(Cd) > ER(Pb) > ER(Cu) > ER(Cr) > ER(Zn) have been obtained, which showed that Cd was the most important factor leading to risk. Based on the Cd pollution history, the cumulative acceleration and cumulative rate of Cd were estimated, then the fixed number of years exceeding the standard prediction model was established, which was used to predict the pollution trend of Cd under the accelerated accumulation mode and the uniform mode. Pearson correlation analysis and correspondence analysis are employed to identify the sources of heavy metals and the relationship between sampling points and variables. These findings provided some useful insights for making appropriate management strategies to prevent or decrease heavy-metal pollution around a coal gangue dump in the Yangcaogou coal mine and other similar areas elsewhere.

scholarly journals Distribution and Potential Ecological Risk of Heavy Metals in Water, Sediments, and Aquatic Macrophytes: A Case Study of the Junction of Four Rivers in Linyi City, China

2019 ◽  
Vol 16 (16) ◽  
pp. 2861 ◽  
Author(s):  
Xiuling Li ◽  
Henglun Shen ◽  
Yongjun Zhao ◽  
Weixing Cao ◽  
Changwei Hu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Plant Species ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Aquatic Macrophyte ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Metal Concentrations

The Yi River, the second longest river in Shandong Province, China, flows through Linyi City and is fed by three tributary rivers, Beng River, Liuqing River, and Su River in the northeastern part of the city. In this study, we determined the concentrations of five heavy metals (Cr, Ni, Cu, Zn, and Pb) in water, sediment, and aquatic macrophyte samples collected from the junction of the four rivers and evaluated the potential ecological risk of heavy metal pollution. Most of the heavy metals in water were in low concentrations with the water quality index (WQI) below 1, suggesting low metal pollution. The sediments showed low heavy metal concentrations, suggesting a low ecological risk based on the potential ecological risk index (RI) and the geo-accumulation index (Igeo). The aquatic plant species Potamogeton crispus accumulated considerable amounts of heavy metals, which were closely related to the metal concentrations of the sediment. The plant species Salvinia natans also showed an excellent metal accumulation capability. Based on our results, the junction of the four rivers is only slightly polluted in terms of heavy metals, and the plant species P. crispus is a suitable bioindicator for sediment heavy metal pollution.

scholarly journals Ecological Risk and Restoration Measures Relating to Heavy Metal Pollution in Industrial and Mining Wastelands

2019 ◽  
Vol 16 (20) ◽  
pp. 3985 ◽  
Author(s):  
Huangxin Cheng ◽  
Lei Huang ◽  
Pengtu Ma ◽  
Yi Shi
Keyword(s):  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Integrated Approach ◽  
Potential Ecological Risk ◽  
Risk Levels ◽  
Ecological Risk Evaluation ◽  
Land Types ◽  
Restoration Measures

In this study, we applied an integrated approach to an ecological risk evaluation of heavy metal pollution in industrial and mining wastelands in Yangxin County, China. A total of 72 sampling sites were designated in the study area. The results show that the potential ecological risk levels of Hg and Cd are higher, and the coefficient of variation of mercury levels is large. Cr, Cu, Zn, Pb, Ni, and As are all at low potential ecological risk. The land types with relatively high ecological risks are alum and coal mines. In the soil of alum mines, the risk due to mercury is higher, while in coal mine soil, the risk due to cadmium is relatively higher.

scholarly journals Potential ecological risk assessment and prediction of heavy-metal pollution of soil surrounding the drilling waste deposition site

2019 ◽  
Vol 252 ◽  
pp. 09011
Author(s):  
Justyna Kujawska ◽  
Wojciech Cel
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Potential Ecological Risk ◽  
Potential Ecological Risk Assessment ◽  
Drilling Waste

Owing to their toxicity, heavy metals constitute a serious threat to the environment. In the pages that follow, we will report the results of evaluation of the potential ecological risk and trend of soil heavy metal pollution surrounding the drilling waste deposition site in western Poland. The concentrations of heavy metals: Cd, Cr, Cu, Pb were determined by inductively coupled plasma optical emission spectrometry. The procedure used for potential ecological risk assessment was as proposed by Hakanson (1980). The calculated potential ecological risk factors come in the following order EiR(Cd)>EiR(Pb)>EiR(Cu)>EiR(Cr), which shows that Cd is the most important factor leading to risk. The uniform model was employed to determine the time in which Cd concentration will exceed the permissible concentration level, as regulated by Polish Law. The Pearson correlation coefficient was employed along with the correspondence analysis in order to determine the relationships between heavy metal concentrations.

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