Using hydrodynamic and water quality variables to assess eutrophication in a tropical hydroelectric reservoir

Oliveira, Tatianne Ferreira de; Brandao, Isabel Leidiany de Sousa; Mannaerts, Chris M.; Hauser‐Davis, Rachel Ann; Oliveira, Antonio Augusto Ferreira de; Saraiva, Augusto Cesar Fonseca; Oliveira, Michele Araujo de; Ishihara, Júnior Hiroyuki

doi:10.1016/j.jenvman.2019.109932

Cited by 28 publications

(8 citation statements)

References 30 publications

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“…Chlorophyll-a is one of the important components of algal cells which is a commonly used estimator to reflect the algal abundance in HAB studies (Li et al 2004;de Oliveira et al 2020).…”

Section: Input Variables and Time Lagsmentioning

confidence: 99%

“…However, modelling dynamics of algal growth and evolution in a coastal water ecosystem remains challenging because the physical, chemical and biological processes involved are extremely complicated and more importantly, so that current theories and practice have not yet been well established by far (Xie et al 2012;Yang et, al. 2019;de Oliveira et al 2020).…”

Section: Introductionmentioning

confidence: 99%

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Machine learning based marine water quality prediction for coastal hydro-environment management

Deng

Chau

Duan

2021

Journal of Environmental Management

147

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“…Chlorophyll-a is one of the important components of algal cells which is a commonly used estimator to reflect the algal abundance in HAB studies (Li et al 2004;de Oliveira et al 2020).…”

Section: Input Variables and Time Lagsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning based marine water quality prediction for coastal hydro-environment management

Deng

Chau

Duan

2021

Journal of Environmental Management

147

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“…This fact has already been mentioned in the literature (Athayde et al, 2019) and corroborates with the understanding of residents in Africa (Gyasi et al, 2018) and China (Rousseau, 2020) after the construction of HEDs. In other countries, studies show that HEDs negatively impact water quality in several parameters both downstream and upstream of the dam (Ling et al, 2016(Ling et al, , 2017Tomczyk et al, 2021) and the same is found in the Tocantins River (Oliveira, de et al, 2020).…”

Section: Health Issues (Mercury Diseases)mentioning

confidence: 63%

Indications that fishers perceive socio-environmental problems related to hydroelectric plants in the Tocantins river, Brazil

Lima,

Freitas,

Barbosa

et al. 2024

Braz. J. Hea. Rev.

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Hydroelectric dams (HEDs) cause significant socio-environmental damage such as reduced fish diversity, population displacement and health problems. The fishers have extensive local ecological knowledge that can be used to improve understanding of the impacts of HEDs. Therefore, the objective of this study was to verify and evaluate the perceptions of fishers about the impacts caused by the HEDs in the Tocantins River. For this, 25 fishers were interviewed using a questionnaire with 22 questions. Data analyses were performed considering descriptive analysis of the responses. There was convergence in the responses of fishers who perceived the decrease in fish diversity after the construction of the HEDs, including fish of commercial interest, which is linked to a decrease in income and decreased food security for these families. In addition, the fishers noted symptoms that may be a consequence of mercury contamination, and diarrhea as a possible consequence of decreased water quality. Despite all these socio-environmental losses, the fishers report a lack of prior consultation, and low representativeness and transparency in the decision-making process that preceded the construction of HEDs. In general, the fishers perceived themselves as being strongly affected from the socio-environmental point of view and do not cite any benefits offered to the community from these projects.

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“…Increased water nutrients, i.e., eutrophication, in reservoirs results in a sharp drop in dissolved oxygen concentration, water quality, and its inability to meet the various environmental needs that endanger the aquatic life of the river downstream ecosystem. This phenomenon decreases the water quality and increases sedimentation in the reservoir by increasing the growth of algae and aquatic plants in reservoirs, thus reducing the amount of dissolved oxygen in water (Sun et al 2022;Oliveira et al 2020;and Yigzaw et al 2019). Ma et al (2008) examined the thermal stratification in the Kouris dam reservoir in Cyprus using the CE-QUAL-W2 qualitative two-dimensional model.…”

Section: Introductionmentioning

confidence: 99%

Dissolved oxygen concentration and eutrophication evaluation in Yamchi dam reservoir, Ardabil, Iran

2022

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One of the essential issues in the quality management of water resources is the determination of the level of eutrophication and dissolved oxygen in dam reservoirs and other water bodies. It is possible to study changes in dissolved oxygen concentration using qualitative models. In this study, CE-QUAL-W2, a two-dimensional model of hydrodynamics and water quality capable of predicting the behavior of aquatic ecosystems, has been used to simulate dissolved oxygen concentration and eutrophication. As a case study, the water quality of the Yamchi dam reservoir, located in Ardabil Province, has been qualitatively investigated using the CE-QUAL-W2 model. Based on the geographical location of the Yamchi dam reservoir, it includes warm monomictic basins. According to the results, the dissolved oxygen concentration in the simulation period varied between 0 and 12 mg/L. In autumn and winter, this concentration was almost uniform at various depths. However, in summer, a sharp decrease in dissolved oxygen concentration, to less than 2 mg/L in the bottom layers, was observed, which is due to the presence of nutrients. Regarding eutrophication, the Yamchi dam reservoir is one of the eutrophic reservoirs, and practical strategies should be employed to improve these conditions. Recommended strategies include reducing the retention time of water in the reservoir, dewatering from the underlying layers during the thermal stratification period, and preventing the entry of agricultural drains into the inlet tributaries of the reservoir.

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Using hydrodynamic and water quality variables to assess eutrophication in a tropical hydroelectric reservoir

Cited by 28 publications

References 30 publications

Machine learning based marine water quality prediction for coastal hydro-environment management

Machine learning based marine water quality prediction for coastal hydro-environment management

Indications that fishers perceive socio-environmental problems related to hydroelectric plants in the Tocantins river, Brazil

Dissolved oxygen concentration and eutrophication evaluation in Yamchi dam reservoir, Ardabil, Iran

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