Wintertime water quality assessment via integrated indexical approaches with reference to drinking and irrigation standards in NW India DOI
Saloni Kamboj, Nirankar Singh

Environmental Nanotechnology Monitoring & Management, Год журнала: 2024, Номер 23, С. 101032 - 101032

Опубликована: Дек. 9, 2024

Язык: Английский

Determination of potentially toxic heavy metals in milk powder marketed in Kurdistan of Iraq DOI Creative Commons
Hiwa Mohammad Qadr,

Mohd Zikri Ibrahim,

Hearie Hassan

и другие.

Journal of Trace Elements and Minerals, Год журнала: 2025, Номер unknown, С. 100219 - 100219

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

3

Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory study DOI Creative Commons
Mohamed Gad, Aissam Gaagai, Asmaa Agrama

и другие.

Heliyon, Год журнала: 2024, Номер 10(17), С. e36606 - e36606

Опубликована: Авг. 23, 2024

Assessing and predicting quality of groundwater is crucial in managing availability effectively. In the current study, was thoroughly appraised using various indexing methods, including drinking water index (DWQI), pollution heavy metals (HPI), (PI), metal (MI), degree contamination (C

Язык: Английский

Процитировано

11

Monte Carlo simulation and PMF model for assessing human health risks associated with heavy metals in groundwater: a case study of the Nubian aquifer, Siwa depression, Egypt DOI Creative Commons
Mohamed Hamdy Eid, Viktória Mikita, Mustafa Eissa

и другие.

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Сен. 27, 2024

Introduction The groundwater in arid countries such as Egypt represent the main water resources desert regions due to long distance between these (oasis) and Nile River. Contamination of limited with toxic metals threaten health individuals regions. Methods current study integrates isotopic tracers, hydrogeochemistry, geophysical logs, positive matrix factorization (PMF model), Monte Carlo (MCS) simulation for pollution source apportionment risks associated heavy Nubian Sandstone aquifer (NSSA). Results Discussion resource used drinking purposes (NSSA) is pale meteoric (non-rechargeable aquifer). Silicate weathering, old trapped sea water, reverse ion exchange evaporation, dissolution are dominant mechanisms controlling chemistry. PMF model showed that major ions NSSA originated from four significant sources (anthropogenic activities, minerals, iron-bearing mixing seawater, hydrothermal water). total risk (HI) oral values highlighted non-carcinogenic dangers adults children through exposure. At same time, dermal contact posed a no high children. Most samples had carcinogenic (CR) higher than allowed limits (1.0E-4) like Cadmium, chromium, lead, suggesting effects across all age groups. approach-based concern evaluation assessed 5th % CR (child) 0.00012, 0.0036, 0.0088 Cd, Cr, Pb, respectively, indicating more potential Urgent comprehensive treatment measures imperative mitigate identified area.

Язык: Английский

Процитировано

4

Chemometric Analysis of Heavy Metal Contamination in Water Sources: A Risk Assessment Approach DOI Creative Commons

Taiwo Bakare Abidola,

Jelil Olaoye,

Kenneth Philips Benson

и другие.

Опубликована: Март 25, 2025

Heavy metal contamination in water sources is a major environmental and public health concern, necessitating advanced analytical techniques for effective assessment mitigation. This study systematically reviews chemometric approaches used to evaluate heavy pollution, focusing on pollution indices, multivariate statistical techniques, risk models. The methodology involved an extensive review of peer-reviewed literature from databases such as Elsevier, Springer, MDPI, with inclusion criteria emphasizing studies contamination, evaluation, applications quality analysis. Findings indicate that metals lead (Pb), cadmium (Cd), arsenic (As) are prevalent contaminants, levels varying across regions. Chemometric methods, including cluster factor analysis, principal component Monte Carlo simulations, have proven identifying sources, assessing risks, guiding remediation strategies. highlights the necessity integrating tools into management frameworks improve monitoring develop targeted mitigation measures.

Язык: Английский

Процитировано

0

Integrating Unsupervised Machine Learning, Statistical Analysis, and Monte Carlo Simulation to Assess Toxic Metal Contamination and Salinization in Non-Rechargeable Aquifers DOI Creative Commons
Mohamed Hamdy Eid, Omar Saeed, András Székács

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104989 - 104989

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Green Remediation of Environmental Pollution in Africa: Challenges and Opportunities DOI Creative Commons
Beatrice Omonike Otunola, Paidamwoyo Mhangara

Remediation Journal, Год журнала: 2025, Номер 35(3)

Опубликована: Апрель 1, 2025

ABSTRACT The world is battling pollution issues that are exacerbated by increasing industrialization and population growth. With the current aims of sustainable development, green remediation (GR) advocated as an approach to minimize environmental footprint during hazardous site remediation. Of course, GR comes with its challenges but offers a reliable mode cleanup ensuring protection achieved projects while also promoting concepts. Africa fast‐growing continent several developmental could pose challenge implementation GR. This paper, through thorough literature search analysis, elucidate concept GR, implementation, challenges, opportunities in Africa. research deduced such financing, lack skillsets technology, guidelines policies hinder application study recommends use awareness tool introduce provides on ways which can be incorporated into

Язык: Английский

Процитировано

0

An advanced approach for drinking water quality indexing and health risk assessment supported by machine learning modelling in Siwa Oasis, Egypt DOI Creative Commons
Mohamed Hamdy Eid, Viktória Mikita, Mustafa Eissa

и другие.

Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 56, С. 101967 - 101967

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

3

Rapid Estimation of Soil Moisture Using Spectroscopic Sensor DOI
Koustuvmoni Bharadwaj, Krishna Bharadwaj, Kalyan Kumar Das

и другие.

Communications in Soil Science and Plant Analysis, Год журнала: 2024, Номер 56(4), С. 648 - 659

Опубликована: Ноя. 10, 2024

Soil moisture plays a significant role in the global hydrological cycle field of agriculture, environment science, urban planning and construction, forestry many more. can be determined using various approaches, however some limitations these approaches are longer time duration, labor intensive, require installation maintenance, expensive, lower resolution, etc. This research work proposes soil detection method which is portable, economic efficient. Spectroscopic sensor enables rapid estimation photodiodes varying sensitivities wavelengths across broad spectrum light, allowing precise identification analysis samples based on their unique spectral fingerprints. In this study, relation between output data percentage value obtained from gravimetric has been established. Using regression methods, highest correlation coefficient was found case polynomial function order 3. Residual values all were then calculated by comparing with expected function. Result showed that 705 nanometers (nm) wavelength least residual value, thus signifying equation 3 at nm perfectly demonstrates reading. Furthermore, results verified optimization closeness coefficient, verifying model observations. helpful determining instantaneously instead hours as seen traditional methods.

Язык: Английский

Процитировано

0

Wintertime water quality assessment via integrated indexical approaches with reference to drinking and irrigation standards in NW India DOI
Saloni Kamboj, Nirankar Singh

Environmental Nanotechnology Monitoring & Management, Год журнала: 2024, Номер 23, С. 101032 - 101032

Опубликована: Дек. 9, 2024

Язык: Английский

Процитировано

0