Cargando…
Groundwater Quality, Health Risk Assessment, and Source Distribution of Heavy Metals Contamination around Chromite Mines: Application of GIS, Sustainable Groundwater Management, Geostatistics, PCAMLR, and PMF Receptor Model
Groundwater contamination by heavy metals (HMs) released by weathering and mineral dissolution of granite, gneisses, ultramafic, and basaltic rock composition causes human health concerns worldwide. This paper evaluated the heavy metals (HMs) concentrations and physicochemical variables of groundwat...
Autores principales: | Rashid, Abdur, Ayub, Muhammad, Ullah, Zahid, Ali, Asmat, Sardar, Tariq, Iqbal, Javed, Gao, Xubo, Bundschuh, Jochen, Li, Chengcheng, Khattak, Seema Anjum, Ali, Liaqat, El-Serehy, Hamed A., Kaushik, Prashant, Khan, Sardar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916341/ https://www.ncbi.nlm.nih.gov/pubmed/36767482 http://dx.doi.org/10.3390/ijerph20032113 |
Ejemplares similares
-
Geochemical Modeling Source Provenance, Public Health Exposure, and Evaluating Potentially Harmful Elements in Groundwater: Statistical and Human Health Risk Assessment (HHRA)
por: Rashid, Abdur, et al.
Publicado: (2022) -
Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China
por: Xiao, Yong, et al.
Publicado: (2016) -
Geostatistical model of the spatial distribution of arsenic in groundwaters in Gujarat State, India
por: Wu, Ruohan, et al.
Publicado: (2020) -
Data on assessment of groundwater quality with application of ArcGIS in Zanjan, Iran
por: Asghari, Farzaneh Baghal, et al.
Publicado: (2018) -
Spatiotemporal Variation in Groundwater Quality and Source Apportionment along the Ye River of North China Using the PMF Model
por: Niu, Chao, et al.
Publicado: (2022)