Using simple and easy water quality parameters to predict trihalomethane occurrence in tap water

Xu, Zeqiong; Shen, Jiao; Qu, Yuqing; Chen, Huangfei; Zhou, Xiaoling; Hong, Huachang; Sun, Hongjie; Lin, Hongjun; Deng, Wenjing; Wu, Fuyong

doi:10.1016/j.chemosphere.2021.131586

Cited by 66 publications

(9 citation statements)

References 53 publications

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“…A total of 4320 samples were collected from 22 July to 20 October 2021, with an interval of 30 min. After consulting the data, eight factors affecting the marine water quality were selected, including dissolved oxygen (Do), chlorophyll a (Chl), turbidity (Turb), blue-green algae (Bga), total dissolved solids (Tds), dissolved oxygen saturation (DoP), water temperature (Temp), and pH [ 20 , 21 , 22 , 23 , 24 , 25 ]. In order to explore the spatio-temporal characteristics of the marine water quality factors, the water quality factors were gathered from three adjacent stations.…”

Section: Resultsmentioning

confidence: 99%

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA)

Sun

Wang

et al. 2023

Entropy

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In recent years, with the frequency of marine disasters, water quality has become an important environmental problem for researchers, and much effort has been put into the prediction of marine water quality. The temporal and spatial correlation of marine water quality parameters directly determines whether the marine time-series data prediction task can be completed efficiently. However, existing research has only focused on the correlation analysis of marine data in a certain area and has ignored the temporal and spatial characteristics of marine data in complex and changeable marine environments. Therefore, we constructed a spatio-temporal dynamic analysis model of marine water quality based on a cross-recurrence plot (CRP) and cross-recurrence quantitative analysis (CRQA). The time-series data of marine water quality were first mapped to high-dimensional space through phase space reconstruction, and then the dynamic relationship among various factors affecting water quality was visually displayed through CRP. Finally, their correlation was quantitatively explained by CRQA. The experimental results showed that our scheme demonstrated well the dynamic correlation of various factors affecting water quality in different locations, providing important data support for the spatio-temporal prediction of marine water quality.

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Section: Resultsmentioning

confidence: 99%

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA)

Sun

Wang

et al. 2023

Entropy

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“…Además de la propia perturbación del ecosistema por las visitas de los turistas, que genera un deterioro progresivo de la salud de la laguna (Hsu, 2019) Las correlaciones encontradas que se muestran en la tabla 5 evidencian la relación entre el número de turistas, la temperatura de la laguna, con un 0,679**; es notable resaltar que el número de turistas puede estresar el sistema, siendo la posible fuente la liberación de residuos orgánicos como consecuencia de la mala praxis de dar alimento a las aves nativas sin restricción, lo cual también altera la dieta y residuos de las mismas que a fin de su digestión son depositadas en las aguas de la laguna; otro factor es que fue introducida alrededor de 20-25 años una especie de trucha al ecosistema, siendo este otro posible factor a considerar; otras correlaciones que resultaron significativas son la conductividad eléctrica (CE) 0,679** y el total de sólidos disueltos -0,617**; estas correlaciones pueden ser explicadas por las conductas de los turistas frente al ecosistema de la laguna (Cecchi, 2021), (Xu et al, 2022), (MacNeil et al, 2019), (Bełdowska et al, 2021), (Abbasnia et al, 2018) Tabla 6. Correlaciones entre la afluencia de turistas y la temperatura, CE, salinidad y TDS.…”

Section: Afluencia De Turistasunclassified

Impacto del turismo en la calidad del agua de una laguna del Valle del Mantaro

Chávez

Poma

Figueroa

2023

RDLUZ

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Se evaluaron las características fisicoquímicas (TDS, EC, salinidad y temperatura) de la Laguna de Ñahuimpuquio del Departamento de Junín en Perú. Se realizó el monitoreo en el segundo semestre del 2021: 2 meses del período seco (agosto y septiembre) y 2 meses del período lluvioso (octubre y noviembre), en 5 puntos claves dentro de la laguna; punto 1: Zona de embarcadero; punto 2: Manantial natural “Puquio” que alimenta a la laguna; punto 3: zona de recreos turísticos y venta de alimentos; punto 4: zona de desembocadura de la laguna; y el punto 5: centro de la laguna de Ñahuimpuquio. Los resultados muestran que el total de sólidos disueltos según la norma NPDWR de USA, ubica el agua de la Laguna de Ñahuimpuquio en un nivel de calidad aceptable para suministro de red, y calidad aceptable para agua purificada de garrafón y/o agua embotellada. La salinidad en la laguna oscila entre 297,2 – 312,2 μS/cm; se considera dentro de los parámetros de Digesa (700 – 1200 μS/cm), lo que indica que la laguna tiene baja toxicidad de iones. La conductividad eléctrica del agua de la laguna muestra valores entre (282 – 303,6 de CE), clasificándose como “Buena”. En cuanto a la temperatura, los resultados muestran unos valores desde (18,52 °C – 24.66 °C). Finalmente se demostró que existen correlaciones significativas entre el turismo de la laguna y el incremento de la temperatura, coductividad eléctrica y el total de sólidos disueltos; mas no existe relación con la salinidad en la laguna de Ñahuimpuquio - Ahuac.

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“…To prevent the occurrence of water-borne diseases and ensure the safety of drinking water, the use of disinfectants (such as chlorine, chloramines, and ozone) is indispensable in the water treatment process. However, disinfectants tend to react with organic matter in water to generate disinfection by-products (DBPs) (Krasner et al, 2006;Zhou et al, 2019;Xu et al, 2022), which have carcinogenic, teratogenic and mutagenic eff ects (WHO 2000 Li and Mitch 2018). Up to now, more than 600 kinds of DBPs have been found in drinking water (Cortes and Marcos 2018).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

WATER

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Iodoacetamide (IAcAm) is a type of emerging nitrogenous disinfection by-product (N-DBP) with high health risk. Up to now, several studies have been carried out on the toxicity of IAcAm, but the study on oxidative damage of IAcAm on human cells was not available. In this study, the oxidative stress and damage induced by IA-cAm on HepG-2 cells were investigated. Results showed that superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) activity exhibited a decreasing trend; but nuclear factor erythroid 2-related factor 2 (NRF2) and glutamate cysteine ligase catalytic subunit (GCLC), both the mRNA and protein level, generally appeared an increasing trend with the increase of IAcAm concentration. These results suggested that IAcAm-exposed cells produced excessive reactive oxygen species (ROS) and initiated the compensation mechanism of NRF2 to deal with oxidative stress. Malonaldehyde (MDA), an index for oxidative damage, had no obvious change at 24 h (p>0.05) but signifi cantly increased at 48 h (p<0.05). This result indicated that HepG-2 cells could protect themselves from ROS attack by consuming antioxidant enzyme (e.g., SOD and GSH-Px) and upregulating the genes related to antioxidation after 24 h exposure of IA-cAm; yet, at 48 h, the antioxidant defense system could no longer prevent oxidative damage of ROS, causing severe damage of the lipid membrane.

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Using simple and easy water quality parameters to predict trihalomethane occurrence in tap water

Cited by 66 publications

References 53 publications

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA)

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA)

Impacto del turismo en la calidad del agua de una laguna del Valle del Mantaro

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