Pinto CC - Search Results

1

Co-occurrence of arsenic and sewage pollutants in surface and groundwater and its implications for water treatment using membrane technology.

de Aguilar DCB, de Queiroz MM, Pinto CC, Santos CRD, Drumond GP, Moreira VR, Amaral MCS. de Aguilar DCB, et al. Among authors: pinto cc. Water Res. 2024 Dec 16;273:122994. doi: 10.1016/j.watres.2024.122994. Online ahead of print. Water Res. 2024. PMID: 39731838 Review.

2

Impacts of anthropogenic activities and calculation of the relative risk of violating surface water quality standards established by environmental legislation: a case study from the Piracicaba and Paraopeba river basins, Brazil.

Soares ALC, Pinto CC, Oliveira SC. Soares ALC, et al. Among authors: pinto cc. Environ Sci Pollut Res Int. 2020 Apr;27(12):14085-14099. doi: 10.1007/s11356-020-07647-1. Epub 2020 Feb 10. Environ Sci Pollut Res Int. 2020. PMID: 32040737

3

Adequacy analysis of drinking water treatment technologies in regard to the parameter turbidity, considering the quality of natural waters treated by large-scale WTPs in Brazil.

Melo LDV, da Costa EP, Pinto CC, Barroso GR, Oliveira SC. Melo LDV, et al. Among authors: pinto cc. Environ Monit Assess. 2019 May 20;191(6):384. doi: 10.1007/s10661-019-7526-9. Environ Monit Assess. 2019. PMID: 31111232

4

The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin, Brazil.

Calazans GM, Pinto CC, da Costa EP, Perini AF, Oliveira SC. Calazans GM, et al. Among authors: pinto cc. Environ Monit Assess. 2018 Jul 28;190(8):491. doi: 10.1007/s10661-018-6873-2. Environ Monit Assess. 2018. PMID: 30056487

5

Assessment of water quality based on statistical analysis of physical-chemical, biomonitoring and land use data: Manso River supply reservoir.

Barroso GR, Pinto CC, Gomes LNL, Oliveira SC. Barroso GR, et al. Among authors: pinto cc. Sci Total Environ. 2024 Feb 20;912:169554. doi: 10.1016/j.scitotenv.2023.169554. Epub 2023 Dec 23. Sci Total Environ. 2024. PMID: 38145681

6

Correction to: The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin, Brazil.

Calazans GM, Pinto CC, da Costa EP, Perini AF, Oliveira SC. Calazans GM, et al. Among authors: pinto cc. Environ Monit Assess. 2018 Aug 24;190(9):547. doi: 10.1007/s10661-018-6920-z. Environ Monit Assess. 2018. PMID: 30140967

7

Assessment of spatial variations in the surface water quality of the Velhas River Basin, Brazil, using multivariate statistical analysis and nonparametric statistics.

Pinto CC, Calazans GM, Oliveira SC. Pinto CC, et al. Environ Monit Assess. 2019 Feb 16;191(3):164. doi: 10.1007/s10661-019-7281-y. Environ Monit Assess. 2019. PMID: 30772925

8

Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil.

Calazans GM, Pinto CC, da Costa EP, Perini AF, Oliveira SC. Calazans GM, et al. Among authors: pinto cc. Environ Monit Assess. 2018 Nov 15;190(12):726. doi: 10.1007/s10661-018-7099-z. Environ Monit Assess. 2018. PMID: 30443814

9

Evaluation of violations in water quality standards in the monitoring network of São Francisco River basin, the third largest in Brazil.

da Costa EP, Pinto CC, Soares ALC, Melo LDV, Oliveira SMAC. da Costa EP, et al. Among authors: pinto cc. Environ Monit Assess. 2017 Oct 30;189(11):590. doi: 10.1007/s10661-017-6266-y. Environ Monit Assess. 2017. PMID: 29086029

10

Polymer Composites Reinforced with Residues from Amazonian Agro-Extractivism and Timber Industries: A Sustainable Approach to Enhancing Material Properties and Promoting Bioeconomy.

Leite-Barbosa O, Pinto CCO, Leite-da-Silva JM, de Aguiar EMMM, Veiga-Junior VF. Leite-Barbosa O, et al. Among authors: pinto cco. Polymers (Basel). 2024 Nov 25;16(23):3282. doi: 10.3390/polym16233282. Polymers (Basel). 2024. PMID: 39684027 Free PMC article. Review.

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