Are Indexes of Ecological Risk Associated with Trace Metals Relevant for the Characterization of Mine Tailings and Polluted Soils in the Katangese Copperbelt (DR Congo) and for Assessment of the Performance of Remediation Trials DOI Open Access

Serge Langunu,

Jacques Kilela Mwanasomwe, Gilles Colinet

et al.

Published: April 8, 2024

This study aims to contribute the characterization of Katangese Copperbelt's mining wastes and soils polluted with trace metals, using pollution indices direct concentration measurements. The also evaluated use these in assessing success remediation projects. Analytical data from previous studies samples collected six types discharge one soil were used address first objective. Soil plant at Kipushi Penga for second results revealed very high concentrations As, Cd, Co, Cu, Mn, Pb, Zn all mine tailings soils, compared local references. degree contamination (DC) values (from 72 5440) potential ecological risk (RI) 549 162 091) indicate high-risk situations associated discharges soils. Regarding revegetation trials, show lower RIs tree rhizospheres unamended areas both sites. However, metal are higher references, RI considerable range (RI = 533) (>1500) Kipushi. Bioconcentration factor below 1, indicating low accumulation roots, wood, leaves, trophic chain. In this context, it seems that unsuitable effectiveness phytotechnology processes based on stabilization. Direct performance measurements combined metals substrates plants assess transfer efficiency more appropriate.

Language: Английский

Analysis of Heavy Metal Impacts on Cereal Crop Growth and Development in Contaminated Soils DOI Creative Commons
Ionela Cătălina Vasilachi, Vasile Stoleru, Maria Gavrilescu

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(10), P. 1983 - 1983

Published: Oct. 12, 2023

The impact of heavy metal presence in soil on cereal crops is a growing concern, posing significant challenges to global food security and environmental sustainability. Cereal crops, vital sources nutrition, face the risk contamination with toxic metals released into environment through human activities. This paper explores key aspects requiring thorough investigation foster innovation understand intricate interactions between cereals. Visible symptoms physiological changes resulting from contamination, such as chlorosis stunted growth, demand further research devise targeted mitigation strategies sustainable agricultural practices. Root barrier formation, mycorrhizal symbiosis, metal-binding proteins emerge critical defence mechanisms for combating stress, offering opportunities developing metal-tolerant varieties. Research bioavailability safety implications grains safeguard health. reveals that multidisciplinary collaboration cutting-edge technologies are essential promoting beyond state art elucidating mitigating impacts crops. Genetic breeding approaches show promise varieties, while agronomic practices amendments can reduce toxicity. Unravelling complex underlying uptake tolerance agriculture worldwide Embracing pollution proactive secure resilient future amid evolving conditions.

Language: Английский

Citations

48

Utilizing adsorption of wood and its derivatives as an emerging strategy for the treatment of heavy metal-contaminated wastewater DOI

Jinxuan Jiang,

Yang Shi, Nyuk Ling

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 340, P. 122830 - 122830

Published: Oct. 31, 2023

Language: Английский

Citations

42

Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards DOI Creative Commons
Mahmoud Taghavi,

Khadije Bakhshi,

Ahmad Zarei

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 18, 2024

Elevated levels of metal(loid)s in soil may pose potential threats to the ecosystem and can be harmful for human health. The concentrations As, Cd, Pb, Cr Ni were determined agricultural collected from 45 pistachio orchards around Feizabad city, Khorasan Razavi province, Iran using ICP-OES. Also, pollution indices including contamination factor (CF), load index (PLI) geo-accumulation (Igeo) evaluated. In addition, non-carcinogenic carcinogenic risk estimated. mean order = 466.256 > 120.848 Pb 12.009 As 5.486 Cd 0.394 mg/kg. Concentrations samples within their respective permissible limits set by World Health Organization (WHO). But 84.4 100% samples, respectively exceeded WHO allowable limits. CF, PLI Igeo showed that some was contaminated with metals. possible sources metals are application pesticides, chemical fertilizers, manures as well irrigation water. Hazard quotient (HQ) ad (HI) values all found below threshold limit (1), suggesting there is no immediate non-cancer threat arising at children adults. highest cancer (1.13E-02 1.25E-03 adults) estimated soil. Collectively, this study provides valuable information improve reduce minimize associated health risks population area.

Language: Английский

Citations

33

Assessing metal(loid)s-Induced long-term spatiotemporal health risks in Coastal Regions, Bay of Bengal: A chemometric study DOI

Shammi Aktar,

Abu Reza Md. Towfiqul Islam, Md Yousuf Mia

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: April 16, 2024

Language: Английский

Citations

11

Bioearth recovered from landfill mining of old dumpsites: a potential resource or reservoir of toxic pollutants DOI
Saranya Kuppusamy,

S. Kanmani

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

1

Innovative strategies for pollution assessment in Northern Bangladesh: Mapping pollution areas and tracing metal(loid)s sources in various soil types DOI Creative Commons
Abdullah Al Yeamin, Md Yousuf Mia,

Shahidur R. Khan

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0311270 - e0311270

Published: Feb. 3, 2025

This study assessed the risks of soil pollution by heavy metals in Chilmari Upazila, northern Bangladesh, using static environmental resilience (Pi) model soil. Geostatistical modeling and self-organizing maps (SOM) identified areas spatial patterns, while a positive matrix factorization (PMF) revealed sources. The results showed that average concentrations Cr, Pb As were well above background levels. Agricultural industrial soils mainly contaminated with according to Nemerow Pollution Index (NPI), Ecological Risk (ER) Pi Index. Over 70% sites co-contamination was particularly high. A one-way ANOVA significant correlations between Pb, Cu Zn levels human activities. PMF analysis effluents, agrochemicals lithogenic sources main contributors contamination 16%, 41% 43%, respectively. SOM three distinct patterns (Pb-Zn, Cr-Cu-Ni Co-Mn-As), which are consistent results. These emphasize need for stringent measures reduce emissions remediate order improve quality food security.

Language: Английский

Citations

1

Health Risks of Geogenic Contaminants in Gold Mining Areas in Geita, Tanzania DOI Creative Commons
Noel Isack Kaaya, Maheswara Rao Vegi,

Athanas S. Macheyeki

et al.

Journal of Trace Elements and Minerals, Journal Year: 2025, Volume and Issue: unknown, P. 100222 - 100222

Published: March 1, 2025

Language: Английский

Citations

1

Ecological and Human Health Hazards Evaluation of Toxic Metal Contamination in Agricultural Lands Using Multi-Index and Geostatistical Techniques across the Mnasra Area of Morocco's Gharb Plain Region DOI Creative Commons
Hatim Sanad, Rachid Moussadek,

Latifa Mouhir

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100724 - 100724

Published: April 1, 2025

Language: Английский

Citations

1

Evaluation of soil pollution by heavy metal using index calculations and multivariate statistical analysis DOI
Mustafa Haydar Terzi, Murat Kalkan

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(5)

Published: April 12, 2024

Language: Английский

Citations

7

Determination of heavy metal concentrations in cultivated soils and prediction of pollution risk ındices using the ANN approach DOI
Fikret SAYGIN

Rendiconti lincei. Scienze fisiche e naturali, Journal Year: 2024, Volume and Issue: 35(2), P. 451 - 469

Published: April 22, 2024

Language: Английский

Citations

4