Marllus Henrique Ribeiro de Paiva

Mrs. Marllus Henrique Ribeiro de Paiva

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 November 2024 in Resources
Verified
Journal Article
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PGPaula Cristine Silva Gomes
Paula Cristine Silva Gomes
IRIsabela da Silva Pedro Rochinha
Isabela da Silva Pedro Rochinha
MPMarllus Henrique Ribeiro de Paiva
Marllus Henrique Ribeiro de Paiva
ASAníbal Da Fonseca Santiago
Aníbal Da Fonseca Santiago
Surface runoff in mining areas transports dissolved and suspended particles into water bodies, known as mine spoil rainwater, contributing to increases in turbidity. The aim of this study was to evaluate the effectiveness of horizontal flow wetlands, free water surface (FWS), and subsurface flow (HSSF) in reducing turbidity >1500 NTU from a synthetic mine spoil rainwater. Macrophytes, support media, hydraulic retention time (HRT), and hydraulic loading rate (HLR) were analyzed. The HSSF T. domingensis in gravel #1 achieved a 99% reduction for 4-day HRT, with residual turbidity of 7 ± 3 NTU for 27.43 L m−2 d−1 HLR. The FWS P. stratiotes achieved a 99% reduction for 6-day HRT, with residual turbidity of 11 ± 5 NTU for 36.53 L m−2 d−1 HLR. P. stratiotes free root structures promoted interception of suspended colloidal particles, resulting in a better performance. The dense root structure of T. domingensis spreading through the pores of the substrate provided better efficiency than N. humboldtiana. However, N. humboldtiana proved to be promising as a native species. The use of small granulometry alkaline support media (9 to 19 mm) was highlighted. Therefore, this research proves the efficiency of constructed wetlands in reducing high turbidity and provides optimized parameters for this technology application.

27 June 2025 in Water
Verified
Journal Article
Open access
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PGPaula Cristine Silva Gomes
Paula Cristine Silva Gomes
IRIsabela da Silva Pedro Rochinha
Isabela da Silva Pedro Rochinha
JOJaine Nayara De Araújo de Oliveira
Jaine Nayara De Araújo de Oliveira
MPMarllus Henrique Ribeiro de Paiva
Marllus Henrique Ribeiro de Paiva
ACAna Letícia Pilz de Castro
Ana Letícia Pilz de Castro
ASAníbal Da Fonseca Santiago
Aníbal Da Fonseca Santiago
Constructed wetlands are nature-based technologies widely used for the treatment of wastewater and contaminated surface water. This study evaluated the efficiency of free water surface (FWS) and horizontal subsurface flow (HSSF) constructed wetlands in reducing the turbidity of mine spoil rainwater using the w-C* model. Different hydraulic retention times (2, 4, and 6 days) were tested, and the influence of macrophyte type and substrate on the w parameter was investigated. Model calibration was performed based on correlation coefficients (R), coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and root mean square error (RMSE). The results indicated a 99% reduction in turbidity, with average values of R = 0.87 ± 0.05 (FWS) and 0.87 ± 0.03 (HSSF), and NSE of 0.76 ± 0.04 (FWS) and 0.74 ± 0.07 (HSSF), demonstrating good agreement between observed and predicted data. The settling rate (w) ranged from 0.16 to 0.40 m·d−1 in FWS and from 0.20 to 0.70 m·d−1 in HSSF, with the lowest value recorded in the control (0.09 m·d−1). The best performances were observed in FWS-P with Pistia stratiotes (0.40 m·d−1) and HSSF with Typha domingensis (0.70 m·d−1), demonstrating that vegetation, combined with the use of medium-grain substrate (9.5–19.0 mm), enhances turbidity removal. The w-C* model proved to be a robust tool for describing the kinetics of suspended colloidal particle removal in constructed wetlands, providing valuable insights for optimizing hydraulic parameters and design criteria for full-scale application.

29 March 2024 in Ecological Modelling
Verified
Journal Article
Closed access
MPMarllus Henrique Ribeiro de Paiva
Marllus Henrique Ribeiro de Paiva
PGPaula Cristine Silva Gomes
Paula Cristine Silva Gomes
LDLívia Cristina Pinto Dias
Lívia Cristina Pinto Dias
ASAníbal da Fonseca Santiago
Aníbal da Fonseca Santiago