Extracting potable water from humid air plus electric wind generation: A possible application for a Brazilian prototype

Chaves, Juan Sebastián Solís; Rocha-Osorio, C. M.; Murari, Andre L. L. F.; Lira, Valdemir Martins; Filho, Alfeu J. Sguarezi

doi:10.1016/j.renene.2017.12.039

Cited by 25 publications

(9 citation statements)

References 27 publications

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“…Similarly, the lower panel map shows that few regions have consistent negative slope values, including Northeastern Brazil, Kenya, and Somalia. Some vegetation patterns can be recognized in those regions; Northeastern Brazil is homogeneously characterised by Thorny Scrub (Solís Chaves et al 2018), positive changes in southern Europe are mostly over the Mediterranean maquis shrubland (Dallman 1998), and cropland and woodland Figure 3. Fraction of the domain characterised by a statistically significant trend according to the Mann-Kendall test (two-tailed) at p = 0.05.…”

Section: Resultsmentioning

confidence: 99%

Non-stationarity in MODIS fAPAR time-series and its impact on operational drought detection

Cammalleri

Vogt

2018

International Journal of Remote Sensing

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A time-series of fAPAR (fraction of Absorbed Photosynthetically Active Radiation) data collected by the MODIS (MODerate Resolution Imaging Spectroradiometer) Terra satellite between 2001 and 2016 has been analysed at global scale in order to identify possible areas interested by a linear temporal trend. The main scope of this study is to quantify how the possible trend may affect estimates of drought events based on 10-day fAPAR standardized anomalies (z values). The trend analysis, performed according to the Theil-Sen approach, highlighted that about 10% of the globe shows a statistically significant trend (following the Mann-Kendall test at p = 0.05), mostly being positive (increasing fAPAR). The impact of such a trend on standardized anomalies has been formally expressed as a linear function of two quantities: 1) the z value itself, and 2) the year under investigation. This approach allows summarising the variations in z into just two parameters. In the case of negative anomalies (of greater interest for drought analyses) and the most recent years on the time-series (of greater interest for operational monitoring systems), the use of a stationary (no trend) reference tends to underestimate both severity and extension of the areas interested by drought compared to the non-stationary (or trend stationary) reference. The areas mostly interested by significant differences in the outputs of stationary and non-stationary analyses are the Indian subcontinent, eastern China and the Mediterranean countries. As an example of the impacts of the choice of one of the two frameworks on drought monitoring, the results for the recent summer drought in Italy in 2017 have been reported. This example demonstrates how the nonstationary approach tends to be conservative compared to the stationary one, with the former detecting larger affected areas and higher average severity compared to the latter.

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Section: Resultsmentioning

confidence: 99%

Non-stationarity in MODIS fAPAR time-series and its impact on operational drought detection

Cammalleri

Vogt

2018

International Journal of Remote Sensing

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“…Low operating and maintenance costs, flexibility in different capacities, no use of chemicals for water treatment are the features of this system. 47 Research to develop wind technology to harvesting water from air must be carefully developed based on the design of the air turbine system. Because optimization of aerodynamic conditions, design, compliance with standards, material selection and other parameters are important in proper turbine operation.…”

Section: Atmospheric Water Harvestingmentioning

confidence: 99%

An overview of atmospheric water harvesting methods, the inevitable path of the future in water supply

2023

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“…Wind energy is a good option for situations where fresh air supply in natural ways is not enough. 78 Vertical turbines are a fit option for creating a continuous flow in the device. Minimizing the energy required by peripherals in passive systems will significantly impact the practical application and economy of these systems.…”

Section: Energy Resourcesmentioning

confidence: 99%

Adsorption-based atmospheric water harvesting

Ejeian

Wang

2021

Joule

240

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Extracting potable water from humid air plus electric wind generation: A possible application for a Brazilian prototype

Cited by 25 publications

References 27 publications

Non-stationarity in MODIS fAPAR time-series and its impact on operational drought detection

Non-stationarity in MODIS fAPAR time-series and its impact on operational drought detection

An overview of atmospheric water harvesting methods, the inevitable path of the future in water supply

Adsorption-based atmospheric water harvesting

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