Impact evaluation of a pisciculture in the Tucuruí reservoir (Pará, Brazil) using a two-dimensional water quality model

Deus, Ricardo Jorge Amorim de; Brito, David; Mateus, Marcos; Kenov, Isabella Ascione; Fornaro, Adalgiza; Neves, Ramiro; Alves, Cláudio Nahum

doi:10.1016/j.jhydrol.2013.01.022

Cited by 45 publications

(44 citation statements)

References 29 publications

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“…For example, the risk of TP exceeding 0.035 mg/L is 4.7%, 9.1%, and 22.3% for the base, near-and long-term periods under the A1B scenario, respectively, which are approximately two times greater than the risk of Chl-a exceeding 0.010 mg/L. It is concluded that the presence of phosphorus in HSR exceeds the level required by the algae to achieve a eutrophic state [6]. There are other factors limiting the growth of algae in certain circumstances, such as the water temperature or sunlight.…”

Section: Chlorophyll-amentioning

confidence: 91%

“…As a result, large-scale artificial water storage facilities, such as dam reservoirs, are predicted to play a more important role as a buffer against rainfall variability in support of economic development [5]. In addition, a warmer climate is generally projected to have adverse impacts on water quality and intensify many forms of water pollution [6][7][8]. Therefore, to ensure the safety and security of storage water, it is important to assess the impacts of climate change on water quality.…”

Section: Introductionmentioning

confidence: 99%

“…Reservoirs represent hybrid systems of rivers and lakes [6], and their water quality is not only influenced by human activities, but also by natural factors, such as climate change. Closed water basins, like lakes and reservoirs, are especially sensitive to climate change [13], and many studies indicate that increases in water temperature are consistently associated with the increased thermal stratification of such water bodies.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Chang

Cai

Lin

et al. 2015

Water

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Surface water quality has been identified as potentially vulnerable to climate change. This study assesses the impacts of climate change on the water quality of Hsinshan Reservoir, Taiwan, through CE-QUAL-W2 simulations. The model parameters were calibrated by field data collected during [2004][2005][2006][2007][2008], and verified against observations made during 2009-2012. The projected temperature and precipitation data for the near-and long-term future were downscaled to regional and daily scales, and used to simulate the projected changes in water quality through the validated model. The simulation results were reported as probability-based cumulative distribution functions to access the impacts of climate change on water quality. The results indicated that the intensified thermal stratification caused by the rising temperature is the primary driver of water quality decline, which increases the probability of deep-layer oxygen depletion and the flux of limiting nutrients for algae growth, resulting in a higher risk of algal blooms and eutrophication. The adaptation strategies of multilevel-intake operations and increasing bottom-layer dissolved oxygen without destratification are recommended. OPEN ACCESSWater 2015, 7 1688

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Section: Chlorophyll-amentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Chang

Cai

Lin

et al. 2015

Water

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“…Soon et al [59] used W2 to describe the influence of diffuse pollution on the temporal and spatial characteristics of natural organic matter in a stratified dam reservoir, the Daecheong Dam. Recently, Deus et al [60] used the W2 to validate about 5 years of field data for temperature, nitrate, ammonia, phosphorus, total suspended solids, DO and chlorophyll a. The model was able to reproduce horizontal and vertical gradients, and their temporal variability.…”

Section: Ce-qual-w2mentioning

confidence: 99%

A review of hydrological/water-quality models

Gao¹,

Li²

2014

Front. Agr. Sci. Eng.

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Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models-individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with nonmechanistic models will provide more accurate results because of the realistic parameters derived from nonmechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) -3S can solve problems requiring large amounts of data.

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“…However, aquaculture is an anthropic activity that has not easily met the requirements of environmental sustainability (Eler & Millani 2007), especially when conducted in large reservoirs (Deus et al 2013, Garcia et al 2014. One of the environmental changes more commonly associated with freshwater aquaculture is eutrophication (Black 2000).…”

Section: Introductionmentioning

confidence: 99%

Environmental characterization and impacts of fish farming in the cascade reservoirs of the Paranapanema River, Brazil

Neto¹,

Nocko²,

Ostrensky³

2015

Aquacult. Environ. Interact.

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The goal of this study was to characterize current water quality, simulate water quality in 8 large artificial reservoirs occurring along the course of the Paranapanema River, Brazil, and estimate fish production in the region to assess the impacts of this production on the local aquatic environment. Primary data describing the bottom sediments and water quality, and time series recorded between 2001 and 2011 were used. Water quality was modeled to simulate the trophic state index (TSI) for each reservoir, and 37 fish cage farms along the length of those reservoirs were identified. Only one-third of these farms had environmental licensing for regular operations. The potential increase in fish production was estimated to exceed 250% in the short to medium term. The concentrations of nutrients (organic matter, nitrogen, and phosphorus) present in the bottom sediment beyond areas of fish production were similar to those found in areas distant from the fish farms. The TSI results indicated that the reservoirs could be classified between oligotrophic and mesotrophic. The few eutrophied areas represented approximately 1% on average of the total area of the reservoirs. The reservoirs of the Paranapanema River have adequate water quality standards for aquaculture, and there is no indication that this activity is currently causing significant impacts to the overall aquatic environment in each reservoir. Nevertheless, caution is required when selecting areas for new fish farms to avoid areas that are more susceptible to eutrophication.

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Impact evaluation of a pisciculture in the Tucuruí reservoir (Pará, Brazil) using a two-dimensional water quality model

Cited by 45 publications

References 29 publications

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

A review of hydrological/water-quality models

Environmental characterization and impacts of fish farming in the cascade reservoirs of the Paranapanema River, Brazil

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