Characterization of the spatial and temporal variability of surface water in the Soudan-Sahel region of Africa

2013 ◽  
Vol 118 (4) ◽  
pp. 1472-1483 ◽  
Author(s):  
Armel T. Kaptué ◽  
Niall P. Hanan ◽  
Lara Prihodko
Keyword(s):  
Surface Water ◽  
Temporal Variability ◽  
Spatial And Temporal Variability ◽  
Sahel Region

scholarly journals Aerosol optical depth in the European Brewer Network

2017 ◽  
Author(s):  
Javier López-Solano ◽  
Alberto Redondas ◽  
Thomas Carlund ◽  
Juan J. Rodriguez-Franco ◽  
Henri Diémoz ◽  
...  
Keyword(s):  
Real Time ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Temporal Variability ◽  
Input Data ◽  
Spatial And Temporal Variability ◽  
Ultraviolet Range ◽  
Using Data ◽  
Better Than

Abstract. The high spatial and temporal variability of aerosols make networks capable of measuring their properties in near real time of high scientific interest. In this work we present and discuss results of an aerosol optical depth algorithm to be used in the European Brewer Network, which provides data in near real time of more than 30 spectrophotometers located from Tamanrasset (Algeria) to Kangerlussuaq (Greenland). Using data from the Brewer Intercomparison Campaigns in the years 2013 and 2015, and the period in between, plus comparisons with Cimel sunphotometers and UVPFR instruments, we check the precision, stability, and uncertainty of the Brewer AOD in the ultraviolet range from 300 to 320 nm. Our results show a precision better than 0.01, an uncertainty of less than 0.05, and a stability similar to that of the ozone measurements for well-maintained instruments. We also discuss future improvements to our algorithm with respect to the input data, their processing, and the characterization of the Brewer instruments for the measurement of aerosols.

Spatial and temporal variability of incidental nanoparticles in indoor workplaces: impact on the characterization of point source exposures

2015 ◽  
Vol 17 (1) ◽  
pp. 98-109 ◽  
Author(s):  
Jianjun Niu ◽  
Pat E. Rasmussen ◽  
Robert Magee ◽  
Gregory Nilsson
Keyword(s):  
Point Source ◽  
Temporal Variability ◽  
Spatial And Temporal Variability

Characterization of incidental nanoparticles (such as diesel fumes and printer emissions) is an important component of nanotechnology exposure assessments.

Spatial and temporal variability of surface water and groundwater before and after the remediation of a Portuguese uranium mine area

Geochemistry ◽  
2015 ◽  
Vol 75 (3) ◽  
pp. 345-356 ◽  
Author(s):  
Ana Margarida Ribeiro Neiva ◽  
Paula Cristina Simões de Carvalho ◽  
Isabel Margarida Horta Ribeiro Antunes ◽  
António Carlos Tavares dos Santos ◽  
Marina Marques da Silva Cabral-Pinto
Keyword(s):  
Surface Water ◽  
Temporal Variability ◽  
Uranium Mine ◽  
Spatial And Temporal Variability ◽  
Mine Area ◽  
Surface Water And Groundwater ◽  
Before And After

scholarly journals Variasi Fluks CO2 Udara-Laut di Perairan Pesisir Pulau Bintan

2020 ◽  
Vol 5 (3) ◽  
pp. 145
Author(s):  
Afdal Afdal ◽  
Hanif Budi Prayitno ◽  
A'an Johan Wahyudi ◽  
Suci Lastrini
Keyword(s):  
Surface Water ◽  
Partial Pressure ◽  
Coastal Water ◽  
Temporal Variability ◽  
Monsoon Season ◽  
Carbon Sources ◽  
Southwest Monsoon ◽  
Spatial And Temporal Variability ◽  
Coral Reef Ecosystems ◽  
Spatio Temporal

<strong>Variation of Air-Sea CO<sub>2</sub> Fluxes in Bintan Island Coastal Water. </strong>Eastern part of Bintan coastal water plays a major role as CO<sub>2</sub> sink. However, flux and partial pressure of CO<sub>2</sub> (<em>p</em>CO<sub>2</sub>) dynamically follows spatio-temporal variability. Spatio-temporal variability of CO<sub>2</sub> flux may shows the whole condition of Bintan Island coastal water, especially in correlation with the primary production. Systematic study on variability of CO<sub>2</sub> flux from or to the watern column is essential to understand the whole conditions of Bintan Island coastal water. This study aims to understand the spatio-temporal variation of CO<sub>2</sub> fluxes in Bintan Island coastal water, and the factors influencing it. This study was conducted in the eastern part of Bintan coastal water in April and August 2014. In addition, this study was also conducted in the southern and northern parts in April 2016. CO<sub>2</sub> fluxes dynamics were calculated from <em>p</em>CO<sub>2</sub> (surface water and atmosphere), temperature, salinity, and wind speed. The result showed that almost all parts of the Bintan coastal water were carbon sources during first transition season. The largest CO<sub>2</sub> emission was observed in the northern part (4.02 ± 1.92 mmol/m<sup>2</sup>/d) followed by the southern part (2.28 ± 0.80 mmol/m<sup>2</sup>/d) and then the eastern part (0.46 ± 0.28 mmol/m<sup>2</sup>/d). The eastern part temporally turned into CO<sub>2</sub> sink in the southwest monsoon season (-0.27 ± 0.10 mmol/m<sup>2</sup>/d). Temperature was the main factor causing spatial and temporal variability of air-sea CO<sub>2</sub> fluxes in the Bintan coastal water. Spatially, the presence of seagrass and coral reef ecosystems causes the partial pressure of surface water CO<sub>2</sub> in the eastern part of waters of Bintan is much lower compared to the waters of north and south Bintan, thus emitting less CO<sub>2</sub> to the atmosphere

Spatial and temporal variability of surface water pollution in the Mekong Delta, Vietnam

2014 ◽  
Vol 485-486 ◽  
pp. 653-665 ◽  
Author(s):  
Gert-Jan Wilbers ◽  
Mathias Becker ◽  
La Thi Nga ◽  
Zita Sebesvari ◽  
Fabrice G. Renaud
Keyword(s):  
Water Pollution ◽  
Surface Water ◽  
Temporal Variability ◽  
Mekong Delta ◽  
Spatial And Temporal Variability ◽  
Surface Water Pollution
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