Phosphorus dynamics in a highly polluted urban drainage channel-shallow reservoir system in the Brazilian semiarid

Araújo, Germário Marcos; Neto, Iran Eduardo Lima; Becker, Helena

doi:10.1590/0001-3765201920180441

Cited by 22 publications

(17 citation statements)

References 17 publications

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“…Hence, Equation 2 was adjusted and validated by Toné and Lima Neto (2020) for a wide range of Brazilian semiarid reservoirs. Additionally, it was also validated by Lima (2016) and Araújo et al (2019) for reservoirs located specifically in the State of Ceará.…”

Section: Settling Loss Rate (K) and Retention Time (Rt)mentioning

confidence: 99%

“…Then, at some extent, there is a relation between these two sources once external ones origin internal nutrient recycling. Phosphorus resuspension due to the effect of wind shear in shallow lakes is also a potential source of internal loading (Søndergaard et al 2003;Araújo et al 2019). The formidable challenge, though, is tracking lake water P and distinguish its origin from internal or external load (Nürnberg et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…A massbalance model applied to well mixed lakes to provide transient analysis from measured TP concentration was proposed. Furthermore, applications and improvements were performed in recent studies to assess the model's predictive ability (Chapra and Dolan 2012;Molina-Navarro et al 2014;Shimoda and Arhonditsis 2015;Chapra et al 2016;Katsev, 2017;Araújo et al 2019;Lira et al 2020). The P budget from measured concentration, however, has the potential of not separating different sources, mainly the internal sources such as sediment release, bioturbation, and resuspension (Nürnberg et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

MdJD¹,

Iel²

2021

Preprint

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The dynamics of total phosphorus (TP) in 18 strategic reservoirs of the high-density reservoir network of the Brazilian semiarid was evaluated during the wet and dry periods for the past 12 years. Seasonal TP concentrations presented no significant differences for about 90% of the reservoirs (p > 0.05). This was attributed to a trade-off between the hydrological/limnological processes occurring in the two seasons. Then, a transient complete-mix mass balance model was applied with particular adaptations for the tropical semiarid reservoirs to estimate the TP load for each season. Because of the relatively well mixed conditions and high hypolimnetic dissolved oxygen concentrations during the wet season, the wet load was assumed to represent the external TP load. On the other hand, because of the absence of reservoir inflow during the dry season, phosphorus release under anoxic sediment conditions and wind-induced resuspension under shallow water conditions, the dry load was assumed to reflect the internal TP load. The maximum external loads were related to peak inflows, notably after drought periods. Consistently, the largest internal loads were obtained during the drought periods, when the reservoirs were shallower and more prone to phosphorus release and resuspension. By comparing the impact of the two input load types, the wet period load was predominant in 72% of the reservoirs. The areal phosphorus loads ranged from 0.66 to 7.29 gP.m².yr-1, which were consistent with the literature, despite the very high density of reservoirs. Finally, power-law curves including data for all studied reservoirs were adjusted between the dry period load and volume, dry and wet period loads, wet period load and inflow, and total load and catchment area, resulting in satisfactory R² (0.66–0.82).

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Section: Settling Loss Rate (K) and Retention Time (Rt)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

MdJD¹,

Iel²

2021

Preprint

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“…In deep reservoirs, wind speed is indeed unimportant to Chla, as it is not a relevant driver of water column mixing. Shallow reservoirs, on the other hand, present a signi cant correlation with nutrient resuspension(Araújo et al 2019;Mesquita et al 2020). Past research has indicated that although wind speed affects the dynamics of algal growth and eutrophication, there is a loss of information on wind dynamics on a monthly scale(Stefanidis et al 2021).…”

mentioning

confidence: 99%

“…conditions, stronger winds can carry nutrients to the bottom layer and increase Chla(Kahru et al 2010;Kim et al 2014). This mechanism also depends on the reservoirs' morphology and water level, hence for shallow reservoirs (or for reduced water levels in the dry season), stronger winds can induce resuspension and increase internal nutrient loads(Araújo et al 2019). In the wet season, windinduced resuspension is less signi cant, as external sources of nutrients play a more important role in Chla uctuations (Rocha and Lima Neto 2021).…”

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confidence: 99%

Uncovering the Influence of Hydrological and Climate Variables in Chlorophyll-A Concentration in Tropical Reservoirs with Machine Learning

Carvalho

Neto

Filho

2022

Preprint

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Climate variability and change, associated with increasing water demands, can have significant implications for water availability. In the Brazilian semi-arid, eutrophication in reservoirs raises the risk of water scarcity. The reservoirs have also a high seasonal and annual variability of water level and volume, which can have important effects on Chlorophyll-a concentration (Chla). Assessing the influence of climate and hydrological variability on phytoplankton growth can be important to find strategies to achieve water security in tropical regions with similar problems. This study explores the potential of machine learning models to predict Chla in reservoirs and to understand their relationship with hydrological and climate variables. The model is based mainly on satellite data, which makes the methodology useful for data-scarce regions. Tree-based ensemble methods had the best performances among six machine learning methods and one parametric model. This performance can be considered satisfactory as classical empirical relationships between Chla and phosphorus may not hold for tropical reservoirs. Water volume and the mix-layer depth are inversely related to Chla, while mean surface temperature, water level, and surface solar radiation have direct relationships with Chla. These findings provide insights on how seasonal climate prediction and reservoir operation might influence water quality in regions supplied by superficial reservoirs.

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Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

Rocha

Neto

2021

Environ Sci Pollut Res

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Phosphorus dynamics in a highly polluted urban drainage channel-shallow reservoir system in the Brazilian semiarid

Abstract: How to cite: ArAÚJO gM, LIMA NETO IE AND BECKEr H. 2019. Phosphorus dynamics in a highly polluted urban drainage channel-shallow reservoir system in the Brazilian semiarid. An Acad Bras Cienc 91: e20180441.

Cited by 22 publications

References 17 publications

Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

Uncovering the Influence of Hydrological and Climate Variables in Chlorophyll-A Concentration in Tropical Reservoirs with Machine Learning

Phosphorus mass balance and input load estimation from the wet and dry periods in tropical semiarid reservoirs

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