Multifractal Cross Correlation Analysis of Agro-meteorological Datasets (Including Reference Evapotranspiration) of California, United States

Sankaran, Adarsh; Krzyszczak, Jaromir; Baranowski, Piotr; Sindhu, Archana Devarajan; Pradeep, Nandhinee Krishna; Jayaprakash, Nithyanjali Lija; Thankamani, Vandana; Ali, Munawar

doi:10.20944/preprints202010.0123.v1

Cited by 4 publications

(1 citation statement)

References 65 publications

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“…In addition to its extensive capacity at bioremediation, the consequent biomass created by the use of algae could be used for the formation of a wide range of value-added products. This combined method of biomass production and wastewater treatment has been termed the "integrated cultivation process" (21,22).…”

Section: Introductionmentioning

confidence: 99%

Bioremediation of a Pesticide and Selected Heavy Metals in Wastewater From Various Sources Using a Consortium of Microalgae and Cyanobacteria

Abdel-Razek,

Abozeid,

Eltholth

et al. 2019

SVR

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The presence of organophosphate pesticides and heavy metals in water are known to be toxic to aquatic organisms. Bioremediation makes use of naturally-occurring organisms to remove pollutants from the environment. This study explored the potential of using a consortium of microalgae and cyanobacteria (Chlorella vulgaris, Scenedesmus quadricuda and Spirulina platensis) to remove the organophosphate pesticide malathion and the heavy metals cadmium, nickel and lead from water samples taken from varying combinations of urban wastewater and agricultural drainage water in Egypt. The fastest algal growth observed in this study was in a treatment containing the microorganismal consortium, malathion and heavy metals cultured in water samples taken from agriculture drainage and urban wastewater. Microalgae in this study were able to remove malathion from samples of wastewater with up to 99% efficacy and were able to bioaccumulate nickel at up to 95% efficacy. Moreover, microalgae demonstrated the ability to uptake lead and cadmium at up to 89% and 88% efficacy respectively. The results from this study suggest that a consortium of Chlorella vulgaris, Scenedesmus quadricuda and Spirulina platensis can be effective in remediating the pesticide malathion and the heavy metals cadmium, lead and nickel from wastewater.

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Section: Introductionmentioning

confidence: 99%

Bioremediation of a Pesticide and Selected Heavy Metals in Wastewater From Various Sources Using a Consortium of Microalgae and Cyanobacteria

Abdel-Razek,

Abozeid,

Eltholth

et al. 2019

SVR

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Relationships between Reference Evapotranspiration and Meteorological Variables in the Middle Zone of the Guadalquivir River Valley Explained by Multifractal Detrended Cross-Correlation Analysis

et al. 2023

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Unravelling the Fractal Complexity of Temperature Datasets across Indian Mainland

Sankaran,

Plocoste,

Geetha Raveendran Nair

et al. 2024

Fractal Fract

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Studying atmospheric temperature characteristics is crucial under climate change, as it helps us to understand the changing patterns in temperature that have significant implications for the environment, ecosystems, and human well-being. This study presents the comprehensive analysis of the spatiotemporal variability of scaling behavior of daily temperature series across the whole Indian mainland, using a Multifractal Detrended Fluctuation Analysis (MFDFA). The analysis considered 1° × 1° datasets of maximum temperature (Tmax), minimum temperature (Tmin), mean temperature (Tmean), and diurnal temperature range (DTR) (TDTR = Tmax − Tmin) from 1951 to 2016 to compare their scaling behavior for the first time. Our results indicate that the Tmin series exhibits the highest persistence (with the Hurst exponent ranging from 0.849 to unity, and a mean of 0.971), and all four-temperature series display long-term persistence and multifractal characteristics. The variability of the multifractal characteristics is less significant in North–Central India, while it is highest along the western coast of India. Moreover, the assessment of multifractal characteristics of different temperature series during the pre- and post-1976–1977 period of the Pacific climate shift reveals a notable decrease in multifractal strength and persistence in the post-1976–1977 series across all regions. Moreover, for the detection of climate change and its dominant driver, we propose a new rolling window multifractal (RWM) framework by evaluating the temporal evolution of the spectral exponents and the Hurst exponent. This study successfully captured the regime shifts during the periods of 1976–1977 and 1997–1998. Interestingly, the earlier climatic shift primarily mitigated the persistence of the Tmax series, whereas the latter shift significantly influenced the persistence of the Tmean series in the majority of temperature-homogeneous regions in India.

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Multifractal Cross Correlation Analysis of Agro-meteorological Datasets (Including Reference Evapotranspiration) of California, United States

Cited by 4 publications

References 65 publications

Bioremediation of a Pesticide and Selected Heavy Metals in Wastewater From Various Sources Using a Consortium of Microalgae and Cyanobacteria

Bioremediation of a Pesticide and Selected Heavy Metals in Wastewater From Various Sources Using a Consortium of Microalgae and Cyanobacteria

Relationships between Reference Evapotranspiration and Meteorological Variables in the Middle Zone of the Guadalquivir River Valley Explained by Multifractal Detrended Cross-Correlation Analysis

Unravelling the Fractal Complexity of Temperature Datasets across Indian Mainland

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