Major influencing factors identification and probabilistic health risk assessment of soil potentially toxic elements pollution in coal and metal mines across China: A systematic review DOI Creative Commons
Jingjing Yu, Xiaoyang Liu, Bin Yang

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 274, С. 116231 - 116231

Опубликована: Март 19, 2024

Deposition of potentially toxic elements (PTEs) in soils due to different types mining activities has been an increasingly important concern worldwide. Quantitative differences soil PTEs contamination and related health risk among typical mines remain unclear. Herein, data from 110 coal 168 metal across China were analyzed based on 265 published literatures evaluate pollution characteristics, spatial distribution, probabilistic risks PTEs. The results showed that PTE levels both mine significantly exceeded background values. geoaccumulation index (I

Язык: Английский

Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques DOI
Indrani Mukherjee, Umesh Kumar Singh

CATENA, Год журнала: 2020, Номер 194, С. 104681 - 104681

Опубликована: Июнь 5, 2020

Язык: Английский

Процитировано

199

Urban river pollution in Bangladesh during last 40 years: potential public health and ecological risk, present policy, and future prospects toward smart water management DOI Creative Commons
Md. Jamal Uddin, Yeon-Koo Jeong

Heliyon, Год журнала: 2021, Номер 7(2), С. e06107 - e06107

Опубликована: Фев. 1, 2021

River water is very much important for domestic, agriculture and industrial use in Bangladesh which critical condition from long time based on research data. During last 40 years, extreme pollution events occurred peripheral rivers surrounding Dhaka city Karnaphuli Chittagong city. Present data showed that other urban are also especially Korotoa, Teesta, Rupsha, Pashur Padma. The pollutants flowing with made a severe downstream areas of rivers. Metals concentrations river was found to be higher dry season. Dissolve oxygen (DO) nearly zero Buriganga several points Turag, Balu, Sitalakhya River. NO3-, NO2- PO43- different Zn, Cu, Fe, Pb, Cd, Ni, Mn, As Cr concentration above drinking standard most the some metals even irrigation Sediment metal Karnaphuli, Rupsha Meghna Metal sediment US EPA threshold value fish agricultural crops bioaccumulations had occurred. trend like: water

Язык: Английский

Процитировано

147

Ecological-health risks assessment and source apportionment of heavy metals in agricultural soils around a super-sized lead-zinc smelter with a long production history, in China DOI
Yan Zhou,

Dengdeng Jiang,

Da Ding

и другие.

Environmental Pollution, Год журнала: 2022, Номер 307, С. 119487 - 119487

Опубликована: Май 18, 2022

Язык: Английский

Процитировано

108

Health risk assessment based on source identification of heavy metals: A case study of Beiyun River, China DOI Creative Commons

Huihui Wu,

Congbin Xu,

Jinhang Wang

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2021, Номер 213, С. 112046 - 112046

Опубликована: Фев. 17, 2021

Long-term retention and accumulation of heavy metals in rivers pose a great threat to the stability ecosystems human health. In this study, Beiyun River was taken as example quantitatively identify pollution sources assess source-oriented health risk. A total 8 (Mn, Ni, Pb, Zn, As, Cr, Cd, Cu) were measured. Ordinary kriging (OK) inverse distance weight (IDW) methods used predict distribution metals. The results showed that OK method is more accurate, metal midstream downstream much serious than upstream. Principal component analysis-multiple linear regressions (PCA-MLR) positive matrix factorization (PMF) sources. coefficient determination (R2) PMF closer 1, analyzed source refined. Furthermore, result identification imported into risk assessment calculate hazard index (HI) carcinogenic (CR) various HI CR As Ni local residents River. Industrial activities (23.0%) are considered be largest contribution River, followed by traffic (17%), agricultural (16%), atmospheric deposition (16%). indicated industrial activities. This study provides "target" for precise control sources, which significance improving fine management water environment basin.

Язык: Английский

Процитировано

104

Heavy metal pollution in groundwater of urban Delhi environs: Pollution indices and health risk assessment DOI

Krati Sharma,

N. Janardhana Raju, Neelratan Singh

и другие.

Urban Climate, Год журнала: 2022, Номер 45, С. 101233 - 101233

Опубликована: Июль 16, 2022

Язык: Английский

Процитировано

94

Hydro-chemical assessment of fluoride and nitrate in groundwater from east and west coasts of Bangladesh and India DOI

Jannatun Nahar Jannat,

Md Sanjid Islam Khan, H. M. Touhidul Islam

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 372, С. 133675 - 133675

Опубликована: Авг. 24, 2022

Язык: Английский

Процитировано

84

Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics DOI Creative Commons
Johnbosco C. Egbueri, Johnson C. Agbasi, Daniel A. Ayejoto

и другие.

Geocarto International, Год журнала: 2023, Номер 38(1)

Опубликована: Май 2, 2023

The majority of people living on earth rely groundwater as their primary supply water for daily needs. However, human activities continuously threaten this natural resource. In an attempt to unravel the extent impact human-related physicochemical characteristics in Nnewi and Awka urban clusters (Nigeria), several techniques were integrated study. Groundwater samples warm acidic nature. Concentrations SO42-, NO3-, PO43-, Cl-, HCO3-, Ca2+, Mg2+, Na+ K+ within set benchmarks. nutrient pollution index (ranging from 0.060 0.745), nitrate (varying between −0.999 −0.790) 0.057 0.630) estimated anthropogenic contamination showed low characteristics. health risks due ingestion skin absorption nitrate-contaminated computed six age groups (6–12 months, 5–10 years, 10–15 15–20 20–60 years >60 years) risk values that < 1, implying chronic humans. cumulative total hazard ranged 0.006 0.787 with a mean value 0.167. Chemometric analyses geochemical plots revealed relationships variables sources. Chadha's plot 55% Ca2+-Mg2+-Cl- waters, predominating over Na+-Cl- Ca2+-Mg2+-HCO3- waters. Bivariate multivariate also indicated impact. Furthermore, principal component analysis R-type hierarchical clustering confirmed chemistry quality mostly influenced by geogenic processes than acts. Conclusively, influence is low. These findings would be useful future monitoring both clusters.

Язык: Английский

Процитировано

70

Hydrogeochemical characteristics, stable isotopes, positive matrix factorization, source apportionment, and health risk of high fluoride groundwater in semiarid region DOI
Abdur Rashid, Muhammad Ayub, Xubo Gao

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 469, С. 134023 - 134023

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

21

Understanding the Extent of Heavy Metal Pollution in Drinking Water Supplies from Umunya, Nigeria: An Indexical and Statistical Assessment DOI
Johnbosco C. Egbueri, Chinanu O. Unigwe

Analytical Letters, Год журнала: 2020, Номер 53(13), С. 2122 - 2144

Опубликована: Фев. 23, 2020

Heavy metals in drinking water, even low concentrations, can be very injurious to humans. Groundwater, spring and stream waters for public consumption Umunya district were analyzed understand the extent of heavy metal (Fe, Zn, Mn, Pb, Cr, Ni) pollution. Several indexical statistical tools integrated achieve research objectives. The utilized pollution assessment (e.g., index, Nemerow's geoaccumulation evaluation modified index) showed that at least 40% water samples loaded with metals. Similarly, overall index synthetic which used quality evaluation, confirmed supplies are unsuitable human consumption. Moreover, similar results obtained from an ecological risk performed on samples. Overall, Pb Ni most predominant pollutants greatly impacted resources performance interrelationships models also evaluated. Strong correlations observed among models. Furthermore, multivariate tools, such as correlation analysis factor analysis, source apportionment. anthropogenic inputs more important factors influence waters. Therefore, efforts should made treat polluted before awareness campaigns encouraged protect further deterioration quality.

Язык: Английский

Процитировано

83

Ecological and health risk assessments and water quality criteria of heavy metals in the Haihe River DOI
Liang Cui, Xiaonan Wang, Ji Li

и другие.

Environmental Pollution, Год журнала: 2021, Номер 290, С. 117971 - 117971

Опубликована: Авг. 14, 2021

Язык: Английский

Процитировано

81