Nutrient Concentrations in Seven Irrigation Reservoirs (Lake Karla Watershed Thessaly Greece)

Chamoglou, Maria; Vergos, Ioannis; Sidiropoulos, Pantelis; Kagalou, Ifigenia

doi:10.3390/proceedings2110656

Cited by 1 publication

(1 citation statement)

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“…Asefa et al (2013) reported a value of 0.5 mg L −1 from Angereb reservoir; Wassie and Melese also reported NO 3 − concentrations ranged from 0.1 to 2.0 mg L −1 from Selameko man-made Reservoir (Wassie and Melese 2017). Similarly, its level lower than the values reported from Greece (Chamoglou et al 2018), Portugal (Palma et al 2014) and from Ghana (Boadi et al 2020). The values are comparable with reports for some dams in Saudi Arabia (Albaggar 2021), Ondo State, Gilgel Gibe Reservoir, Ethiopia, concentration ranged from 0.62 to 0.69 (Woldeab et al 2018), Adesakin (0.3-5.32 mg L −1 ) of water reservoir reported from Nigeria (Adesakin et al 2020), and Garra River, India, with NO 3 − values ranged from 0.03 to 3.79 mg L −1 (Khan and Wen 2021).…”

Section: Concentrations Of Nutrients From Angereb Reservoirmentioning

confidence: 93%

Evaluation of water quality of Angereb reservoir: a chemometrics approach

et al. 2023

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Deterioration of water quality of lakes and reservoirs has become major global concerns that impose serious environmental impacts for both aquatic and terrestrial environments. In the current study, many parameters like temperature (Temp), electric conductivity (EC), dissolved oxygen (DO), turbidity (TU), pH, biological oxygen demand (BOD), chemical oxygen demand (COD), total alkalinity (TA), total dissolved solids (TDS), total organic carbon (TOC), nitrate(NO3−), phosphate (PO43−) and chlorophyll a (chl-a) were determined. The study covered the Angereb reservoir and its tributaries on a monthly basis from January to March 2019 at five sampling stations in accordance with APHA 2017 guide lines for physicochemical analysis. The values of all the investigated parameters, except DO (at AU, AD, KU and KD), COD and TU, were below the maximum permissible limits set by WHO. Thus, the findings for DO, TU and COD demonstrated that remedial actions should be taken to improve the quality of the water in the reservoir and its tributaries. Multivariate statistical methods (PCA and CA) were applied to detect spatial and temporal variations of water quality parameter. The first three principal components were enough to develop the PCA score plot which explained about 71.32% of the total variance in the dataset. The PCA and CA have provided similar information; grouped the 24 samples into 3 significant clusters showing spatial variations but minimal temporal variations were observed within the samples collected in the period of January in the reservoir site. The water quality parameters, TU and BOD, were moderately positively loaded on the space of the first principal component and were found to be associated with each other, whereas the EC and TDS have shown moderate negative loading and positively associated with each other. This study suggested PCA and CA methods found to be useful tools for monitoring and controlling water quality parameters for selected sampling stations of surface water.

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