The Spatial and Temporal Characteristics of Pc3 Geomagnetic Activity over Canada in 2000, as a Guide to Planning the Times of Aeromagnetic Surveys

Geomagnetic activity affects aeromagnetic surveys. Geomagnetic variations are quite complex and can be quantified in different ways. A measure of geomagnetic activity that is useful for planning aeromagnetic surveys is the Pc3 pulsation index developed by the Australian Space Weather Agency. Purposeful to developing guidelines for planning aeromagnetic surveys in Canada, we study the variations in Pc3 index amplitude over Canada in 2000. This study shows distinct patterns associated with the sub-auroral zone, the auroral zone, and the polar cap. Average Pc3 index activity is higher during the months of February, July, September, and November in the auroral and sub-auroral zones. The station in the polar cap exhibits maximum activity near midday during the summer months. Detailed analysis of a magnetic storm shows that Pc3 index amplitude during the beginning of the solar storm is least important at the polar cap. The mean Pc3 index also relates to solar wind parameters such as the solar wind velocity and the vertical polarity of the interplanetary magnetic field. Analysis of the morning maximum of the Pc3 index observed in the auroral zone can be used to develop guidelines for planning aeromagnetic surveys in Canada and other areas of the world affected by auroral zones.     

Coronal Temperature Maps from Solar EUV Images: A Blind Source Separation Approach

Multi-wavelength solar images in the extreme ultraviolet (EUV) are routinely used for analysing solar features such as coronal holes, filaments, and flares. However, images taken in different bands often look remarkably similar, as each band receives contributions coming from regions with a range of different temperatures. This has motivated the search for empirical techniques that may unmix these contributions and concentrate salient morphological features of the corona in a smaller set of less redundant source images. Blind Source Separation (BSS) does precisely this. Here we show how this novel concept also provides new insight into the physics of the solar corona, using observations made by SDO/AIA. The source images are extracted using a Bayesian positive source-separation technique. We show how observations made in six spectral bands, corresponding to optically thin emissions, can be reconstructed by a linear combination of three sources. These sources have a narrower temperature response and allow for considerable data reduction, since the pertinent information from all six bands can be condensed into a single composite picture. In addition, they give access to empirical temperature maps of the corona. The limitations of the BSS technique and some applications are briefly discussed.     

Wavelet Analysis of Solar Diameter Measurements Performed at Calern Observatory Astrolabe

Since 1975, a visual program of solar diameter measurement is pursuedat Calern Observatory (France). These observations allowed to put inevidence variations in solar data. Several studies were developed inorder to analyze the data using appropriate me thods (deconvolution ofthe observation window function and least square fits) (Moussaouiet al., 1999). We present in this work a time-frequency studyof the found harmonic terms. It is developed using the wavelettransform. The obtained results are presented and discussed.     

Analysis of Diameter Measurements Performed at Calern Observatory Astrolabe

Solar diameter measurements performed at Calern Observatory astrolabe during more than two solar cycles show variations at various time scales in a broad range. Due to seasonal effects and instrumental characteristics, the recorded data are not sampled uniformly and present some gaps during these years. This time series has been analyzed by means of a deconvolution of the window function, as an alternative method to the standard least square fits of harmonic functions. The results show an extremely important improvement of the power spectrum. Harmonic terms already found by other authors are confirmed but new frequencies are also revealed by this analysis.     

Solar EUV/FUV irradiance variations: analysis and observational strategy

The knowledge of solar extreme and far ultraviolet (EUV) irradiance variations is essential for the characterization of the Earth’s upper atmosphere. For a long time, this knowledge has been based on empirical models, which are themselves based on proxies of the solar activity. However, the accurate modeling and prediction of the Earth’s upper atmosphere necessitate to improve the precision on the irradiance and its variations below about 200 nm. Here, we present a review of recent works made by the authors that aim at quantifying the irradiance variability at these wavelengths, and that lead to new way of monitoring the solar EUV/FUV irradiance spectrum. In more details, it is shown that the quantification of the high level of redundancy in the solar spectrum variability allows to envisage measuring only a small portion of the spectrum without losing essential knowledge. Finally, we discuss what should and could be measured in order to retrieve the solar extreme and far ultraviolet spectrum.     

Feature extraction from solar images using wavelet transform: image cleaning for applications to solar astrolabe experiment

Good edge extraction from temporal series of solar images is fundamental in the solar astrolabe experiment. Noise and spots in images cause however, difficulties to extract an accurate solar edge. We present in this paper a new image-processing method which solves this problem and thus improves the characteristics of the solar astrolabe experiment. The method is based upon the use of wavelet transform in the solar image analysis. It is developed to remove image defects (parasite spots) and noise without reducing image resolution. Solar images obtained at Calern Observatory astrolabe (France) are then processed using this method. Solar edges of these images are extracted and trajectories reconstructed.     

Influence of car body repair activities on particulate matter pollution in a suburban area (Bouzaréah City,Algiers)

This work was carried out in order to study the impact of car body repair activities in Bouzaréah City (suburban area located at the plateau of Algiers) on the air quality. Atmospheric particulate matter was targeted using high-volume sampler. Precisely, the particulate organic matter such as organophosphate esters, especially triphenyl phosphate and tributyl phosphate, was evaluated by the implementation of accelerated solvent extraction. The results of the major extractable organic components revealed that tributyl phosphate and triphenyl phosphate were found at 5.46 and 1.78 ng m^?3, respectively. On the other hand, the classical pollutants such as n-alkanes, n-alkanoic monocarboxylic acids and polycyclic aromatic hydrocarbons were also measured, respectively, at average total concentrations of 35.8, 107.4 and 9.8 ng m^?3. This work confirms that sanding and painting car bodies may contribute to air pollution, especially after detection of diethylnitrosamine which remains the most surprising compound in the particulate matter due to its volatility and can be considered as emerging contaminant.