Uncovering the impact of agricultural activities and urbanization on rivers from the Piracicaba, Capivari, and Jundiaí basin in São Paulo, Brazil: A survey of pesticides, hormones, pharmaceuticals, industrial chemicals, and PFAS

Madeira, Camila Leite; Acayaba, Raphael D'Anna; Santos, Vinicius Sarracini; Villa, Javier E.L.; Jacinto-Hernández, Christian; Azevedo, José André Teixeira; Elias, Vladimir Oliveira; Montagner, Cassiana Carolina

doi:10.1016/j.chemosphere.2023.139954

Cited by 15 publications

(5 citation statements)

References 50 publications

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“…Figure 3 contains the map of the PCJ basin, illustrating the location of the stations. Although not present in the dataset, Madeira et al [53] indicated that rivers are very high-risk quotients for pesticides and industrial chemicals, and close to 45 contaminants are present in the PCJ basin, located in an agricultural and industrial area.…”

mentioning

confidence: 95%

A Data-Driven Method for Water Quality Analysis and Prediction for Localized Irrigation

da Silva,

Benso,

Corrêa

et al. 2024

AgriEngineering

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Several factors contribute to the increase in irrigation demand: population growth, demand for higher value-added products, and the impacts of climate change, among others. High-quality water is essential for irrigation, so knowledge of water quality is critical. Additionally, water use in agriculture has been increasing in the last decades. Lack of water quality can cause drip clog, a lack of application uniformity, cross-contamination, and direct and indirect impacts on plants and soil. Currently, there is a need for more automated methods for evaluating and monitoring water quality for irrigation purposes, considering different aspects, from impacts on soil to impacts on irrigation systems. This work proposes a data-driven method to address this gap and implemented it in a case study in the PCJ river basin in Brazil. The methodology contains nine components and considers the main steps of the data lifecycle and the traditional machine learning workflow, allowing for automated knowledge extraction and providing important information for improving decision making. The case study illustrates the use of the methodology, highlighting its main advantages and challenges. Clustering different scenarios in three hydrological years (high, average, and lower streamflows) and considering different inputs (soil-related metrics, irrigation system-related metrics, and all metrics) helped generate new insights into the area that would not be easily obtained using traditional methods.

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mentioning

confidence: 95%

A Data-Driven Method for Water Quality Analysis and Prediction for Localized Irrigation

da Silva,

Benso,

Corrêa

et al. 2024

AgriEngineering

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“…These include heavy metals, organic solvents, flame retardants, plasticizers, and surfactants [19]. Industrial chemicals can enter aquatic ecosystems through direct discharge from industrial facilities, atmospheric deposition, and runoff from contaminated sites [20,21]. Many industrial chemicals are persistent and bioaccumulative, posing long-term risks to aquatic organisms and human health.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Pathway of Contaminants in the Environment: A Case Study of Different Aquatic Environmental Compartments

Espíndola,

Scaccia,

Barbosa Segundo

et al. 2024

Sustainability

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The occurrence of contaminants of emerging concern (CECs) in several environmental compartments has raised significant concern given the extensive array of compounds and their consistent detection across various environmental matrices. Monitoring all potentially harmful compounds and identifying their sources is nearly impossible. However, providing data on their occurrence is crucial and lays the groundwork for decision makers to craft mitigation strategies toward a more sustainable water policy. Hence, the primary aim of this study was to conduct an evaluation study on CECs occurrence in the environment. The main novelty relies on understanding their specific pathway in three different environmental aquatic compartments. For that, a combined study of a systematic review and systemic analysis was performed. Initially, the five most common types of CECs found in aquatic ecosystems (groundwater and surface water) and wastewater were considered. For each group of CECs, five contaminants were identified. A bibliographic portfolio was generated through the application of a systematic review. Finally, a systemic analysis of the bibliographic portfolio was conducted. All classes of contaminants studied were identified in the environmental compartments evaluated. Except for pesticides, the degree of contamination by CECs followed a sequence based on the aquatic compartment (i.e., WW–SW–GW).

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“…Uma consequência do maior uso destes agrotóxicos no Brasil, somada a uma infraestrutura primitiva de saneamento básico, a regulamentação limitada desses produtos químicos, e ao caráter recalcitrante destes contaminantes, resulta em inevitável contaminação dos recursos hídricos com esses compostos. Além disso, o país ainda não estabeleceu programas de monitorização extensivos e o estado da distribuição de CPEs nas águas superficiais é em grande parte desconhecido (Madeira et al, 2023). O Diuron e Atrazina são herbicidas frequentemente mais detectados, sendo constatados em diversas matrizes aquáticas do território brasileiro, como em mananciais subterrâneos, mananciais superficiais, e até mesmo na água potável (Marson et al, 2022;Starling;Amorim;Leão, 2019;Madeira et al, 2023).…”

Section: Introductionunclassified

“…Além disso, o país ainda não estabeleceu programas de monitorização extensivos e o estado da distribuição de CPEs nas águas superficiais é em grande parte desconhecido (Madeira et al, 2023). O Diuron e Atrazina são herbicidas frequentemente mais detectados, sendo constatados em diversas matrizes aquáticas do território brasileiro, como em mananciais subterrâneos, mananciais superficiais, e até mesmo na água potável (Marson et al, 2022;Starling;Amorim;Leão, 2019;Madeira et al, 2023).…”

Section: Introductionunclassified

Esterilizador ultravioleta comercial para degradação de herbicidas: aplicação de processos oxidativos avançados

Souza,

Madeira,

Cruz

et al. 2024

CLCS

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Os herbicidas Diuron e Atrazina são amplamente utilizados nas áreas de cultivo do Brasil e o tratamento de água convencional não é eficaz a ponto de removê-los totalmente, assim são encontrados em baixas concentrações em águas subterrâneas e superficiais. Neste trabalho, um esterilizador ultravioleta operado em modo batelada, com recirculação forçada, foi aplicado juntamente com diferentes Processos Oxidativos Avançados (POAs), como Fenton, Foto-Fenton e Peroxidação com Luz UV-C, na degradação dos herbicidas. Para cada POA foi verificada a eficiência perante o consumo do peróxido de hidrogênio, taxa de degradação do herbicida e a cinética da reação. A eficiência do tratamento seguiu a sequência: H2O2/UV-C > Fe2+/H2O2/UV-C > UV-C. A Peroxidação com Luz UV-C foi a mais eficiente, com 66% de degradação de Diuron e 38% de Atrazina. O esterilizador ultravioleta comercial demonstrou ser uma abordagem tecnológica promissora para alcançar a completa degradação desses compostos, a fim de reduzir a contaminação de matrizes ambientais.

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Uncovering the impact of agricultural activities and urbanization on rivers from the Piracicaba, Capivari, and Jundiaí basin in São Paulo, Brazil: A survey of pesticides, hormones, pharmaceuticals, industrial chemicals, and PFAS

Cited by 15 publications

References 50 publications

A Data-Driven Method for Water Quality Analysis and Prediction for Localized Irrigation

A Data-Driven Method for Water Quality Analysis and Prediction for Localized Irrigation

Evaluation of the Pathway of Contaminants in the Environment: A Case Study of Different Aquatic Environmental Compartments

Esterilizador ultravioleta comercial para degradação de herbicidas: aplicação de processos oxidativos avançados

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