Cargando…
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water
Limited monitoring activities to assess data on heavy metal (HM) concentration contribute to worldwide concern for the environmental quality and the degree of toxicants in areas where there are elevated metals concentrations. Hence, this study used in-situ physicochemical parameters to the limited d...
Autores principales: | De Jesus, Kevin Lawrence M., Senoro, Delia B., Dela Cruz, Jennifer C., Chan, Eduardo B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879014/ https://www.ncbi.nlm.nih.gov/pubmed/35202281 http://dx.doi.org/10.3390/toxics10020095 |
Ejemplares similares
-
A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines
por: De Jesus, Kevin Lawrence M., et al.
Publicado: (2021) -
In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods
por: Senoro, Delia B., et al.
Publicado: (2022) -
Multifunctional Biotemplated Micromotors for In Situ Decontamination of Antibiotics and Heavy Metals in Soil and Groundwater
por: Cui, Haohao, et al.
Publicado: (2023) -
Detection of Heavy Metals, Their Distribution in Tilapia spp., and Health Risks Assessment
por: Mendoza, Leonel C., et al.
Publicado: (2023) -
Transition Metals in Freshwater Crustaceans, Tilapia, and Inland Water: Hazardous to the Population of the Small Island Province
por: Agarin, Christine Joy M., et al.
Publicado: (2021)