Spatial Variability Model for Water Quality Assessment of the Physicochemical Parameters and the Water Quality Index of Laguna Lake and its Tributaries

Capili, N I F; Marilla, J F; Montes, Katrina; Villaseñor, F C

doi:10.1088/1742-6596/1803/1/012006

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The results of analysis of leaf samples in the laboratory are represented in the form of a histogram in Figure 4. A good dataset can be seen from the shape of the histogram which forms a normal distribution curve or is shaped like a bell (Capili et al, 2021). In this research, the dataset resulting from leaf nutrient analysis in the laboratory appears to be normally distributed so it is suitable to be used as a prediction model variable.…”

Section: Laboratory Analysis Of Oil Palm Leafmentioning

confidence: 94%

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Hariadi,

Sastrohartono,

Krisdiarto

et al. 2024

JTEP-L

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A hand-held spectrometer can be used to evaluate oil palm (Elaeis guineensis Jacq.) leaf nutrient contents without being destructive. This study aims to develop regression equations and analyze the performance of the prediction models for Nitrogen, Phosphate, and Potassium leaf nutrient contents. The dependent variable in this study was the result of the analysis of nutrient contents in frond number 17 which was carried out in the laboratory, while the independent variable was the leaf reflectance value scanned with a hand-held spectrometer. The Normalized Difference approach is used to create a vegetation index from the combination of reflectance values at two wavelengths. Vegetation index with the highest correlation value to the nutrient content of leaves, is used to make a prediction model for leaf nutrients using the Simple Linear Regression. The regression equations formed to predict the contents of nutrients N, P, and K have high R2. The RMSE values of the predicted contents of N, P, and K nutrients, respectively were 0.21, 0.01, and 0.13; and correctness values of those nutrients respectively were 93.29%, 95.5%, and 88.81%. Keywords: Hand-held spectrometer, Oil palm, Prediction, Leaf nutrients contents.

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Section: Laboratory Analysis Of Oil Palm Leafmentioning

confidence: 94%

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Hariadi,

Sastrohartono,

Krisdiarto

et al. 2024

JTEP-L

View full text Add to dashboard Cite

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Surveillance of human adenoviruses in water environments: Assessing the suitability of a locally developed quenching of unincorporated amplification signal reporters-loop-mediated isothermal amplification assay

Santos,

Juanico,

Abello

et al. 2024

Journal of Virological Methods

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Bioanalytical Monitoring of Laguna Lake (Philippines) to Assess Water Research Priorities Associated with Organic Chemical Pollution and Cyanobacterial Blooms

Quecke,

Peralta-Limachi,

Baluyot

et al. 2024

ACS EST Water

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Over several decades, anthropogenic influence has contributed to continuing water quality deterioration in Laguna Lake (Philippines), affecting the vital ecosystem services that it provides. To evaluate the potential ecotoxicological impacts of organic chemical pollution in the lake, a battery of in vitro bioassays (cytotoxicity, mutagenicity, and estrogenicity) was employed across 15 sites on Laguna Lake and a pond receiving secondary treated effluent that served as a positive control. Microcystin-LR concentrations were evaluated, given the historical occurrence of cyanobacterial blooms. Cytotoxicity (3.73 to 270 IC 10 -REF), mutagenicity (0.315 to 0.683 μg/L 4-NQO eq), and microcystin-LR (0.2 and 135 μg/L) were detected in lake samples suggesting potential toxicity risks. Cytotoxicity was correlated with microcystin-LR concentrations (r = 0.84) though at this stage, it is difficult to directly associate cytotoxicity with cyanoblooms due to other potentially co-occurring substances that were not analyzed. Estrogenicity was not detected in the lake, despite previous studies suggesting the presence of estrogens. Overall, results indicate a need for a long-term monitoring plan that considers cyanobloom presence and effects-based monitoring. To improve reporting on the environmental state and communication among stakeholders, a water quality index was established. The index suggests that current conventional monitoring parameters may not accurately predict water quality, particularly during cyanoblooms.

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Spatial Variability Model for Water Quality Assessment of the Physicochemical Parameters and the Water Quality Index of Laguna Lake and its Tributaries

Cited by 3 publications

References 2 publications

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

The Prediction of Nitrogen, Phosphate, and Potassium Contents of Oil Palm Leaf Using Hand-Held Spectrometer

Surveillance of human adenoviruses in water environments: Assessing the suitability of a locally developed quenching of unincorporated amplification signal reporters-loop-mediated isothermal amplification assay

Bioanalytical Monitoring of Laguna Lake (Philippines) to Assess Water Research Priorities Associated with Organic Chemical Pollution and Cyanobacterial Blooms

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