Mineralogy, Geochemistry and Volcanology of Volcanic Tuff Rocks from Jabal Huliat Al-Gran, South of Jordan (New Occurrence)

Jabal Huliat Al-Gran (HG) volcano is one of several volcanic eruptions belonging to south Jordanian basaltic eruptions. Thick pyroclastic deposits of volcanic tuff layers alter slowly to complex mineralogical zonations in closed hydrological alkaline environments, and relatively pure deposits can be formed. Hydrological system and temperature are the principal controls over the zeolitization process. This process involves reactions between the vitric silicic volcanic glass and the percolating water in a closed hydrological system to form distinctive zeolite assemblages. Judging from field and experimental data, formation of phillipsite, chabazite and other secondary rock forming minerals probably took place by reaction of percolating water with vitric tuff units. The petrographical, mineralogical and geochemical investigations include thin section, XRD and SEM-EDX to determine the nature, geneses, along with mineralogical and geochemical properties of this new zeolitic occurrence. This work reveals the presence of zeolites in Huliat Al-Gran taffacious materials. Also, the results indicated that the volcanic tuff is highly altered to zeolites and other minerals. The main zeolites are phillipsite Ca-heulandite (mean Si/Al: 3.30) and chabazite Ca-clinoptilolite (mean Si/Al: 4.35). Zeolite minerals compose 10–60% of the whole volcanic tuff rocks. Thermal analysis indicates high stability for temperature difference. The deposit might be of great importance for Jordan, considering its enormous zeolitized outcrop area. However, the quantitative estimation still needs further investigation

Control of Odorants Emissions from Poultry Manure Using Jordanian Natural Zeolites

Natural zeolitic tuffs from Tall Juhira (southern Jordan) have been investigated and tested for their odor removal capacity. Two types of Tall Juhira zeolitic tuffs were used in the odor sorption from animal wastes. The first type is the separated size fraction between 1 and 0.7 mm (TJ1), while the second type is the separated size fraction between 0.7 and 0.3 mm (TJ2). The effect of particle size was examined in the removal experiments. The main species identified in Tall Juhira natural zeolitic tuffs are: chabazite and – subordinately- faujasite and phillipsite. Zeolitic tuff trap and batch tests were performed to determine the effectiveness of Tall Juhira zeolitic tuffs in the reduction of the odor emission from natural broiler manure. The results were interpreted by using percentage removal curves and diagrams. By using TJ1 in zeolitic trap experiments, the removal percentages of NH3 ranged from 93 to 71, while by using TJ2 the removal percentages ranged from 96 to 81. In batch experiments, the use of TJ2 type shows a higher percentage of NH3 retention than TJ1 type for the same time. The odor panel results show that the control manure (untreated) has the highest odor intensity in all trails. In summary, it can be concluded that odor emission from animal waste can be effectively reduced using Juhira zeolitic tuffs

Wave File Features Extraction using Reduced LBP

In this work, we present a novel approach for extracting features of a digital wave file. This approach will be presented, implemented and tested. A signature or a key to any wave file will be created.  This signature will be reduced to minimize the efforts of digital signal processing applications. Hence, the features array can be used as key to recover a wave file from a database consisting of several wave files using reduced Local binary patterns (RLBP). Experimental results are presented and show that The proposed RLBP method is at least 3 times faster than CSLBP method, which mean that the proposed method is more efficient

Adaptive Density Estimation on the Circle by Nearly-Tight Frames

This work is concerned with the study of asymptotic properties of nonparametric density estimates in the framework of circular data. The estimation procedure here applied is based on wavelet thresholding methods: the wavelets used are the so-called Mexican needlets, which describe a nearly-tight frame on the circle. We study the asymptotic behaviour of the $L^{2}$-risk function for these estimates, in particular its adaptivity, proving that its rate of convergence is nearly optimal.Comment: 30 pages, 3 figure