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13篇 您的检索式:作者名="Borujeni"
    题名 作者 年代 出处 被引量
1Refining Soil Organic Matter Determination by Loss-on-Ignition显示文摘Wet oxidation procedure,i.e.,Walkley-Black (WB) method,is a routine,relatively accurate,and popular method for the determination of soil organic matter (SOM) but it is time-consuming,costly and also has a high potential to cause environmental pollution because of disposal of chromium and strong acids used in this analysis.Therefore,loss-on-ignition (LOI) procedure,a simple and cheap method for SOM estimation,which also avoids chromic acid wastes,deserves more attention.The aims of this research were to study the statistical relationships between SOM determined with the LOI (SOMLOI) and WB (SOMWB) methods to compare the spatial variability of SOM in two major plains,Shahrekord and Koohrang plains,of Chaharmahal-va-Bakhtiari Province,Iran.Fifty surface soil samples (0-25 cm) were randomly collected in each plain to determine SOM using the WB method and the LOI procedure at 300,360,400,500 and 550 ℃ for 2 h.The samples covered wide ranges of soil texture and calcium carbonate equivalent (CCE).The general linear form of the regression equation was calculated to estimate SOM LOI from SOM obtained by the WB method for both overall samples and individual plains.Forty soil samples were also randomly selected to compare the SOM and CCE before and after ignition at each temperature.Overall accuracy of the continuous maps generated for the LOI and WB methods was considered to determine the accordance of two procedures.Results showed a significant positive linear relationship between SOM LOI and SOM WB.Coefficients of determination (R2) of the equations for individual plains were higher than that of the overall equation.Coefficients of determination and line slopes decreased and root mean square error (RMSE) increased with increasing ignition temperature,which may be due to the mineral structural water loss and destruction of carbonates at higher temperatures.A temperature around 360 ℃ was identified as optimum as it burnt most organic carbon,destroyed less inorganic carbon,caused less clay structural water loss,and used less electrical energy.Although the trends of SOM in the kriged maps by the two procedures accorded well,low overall accuracy was observed for the maps obtained by the two methods.While not suitable for determination where high accuracy is required,determination of organic carbon through LOI is likely suitable for exploratory soil surveys where rough estimation of organic matter is required.M.H.SALEHI O.HASHEMI BENI H.BEIGI HARCHEGANI I.ESFANDIARPOUR BORUJENI H.R.MOTAGHIAN 2011Pedosphere2011,21,4:14
2Digital Soil Mapping Using Artificial Neural Networks and Terrain-Related Attributes显示文摘Detailed soil surveys involve costly and time-consuming work and require expert knowledge. Since soil surveys provide information to meet a wide range of needs, new methods are necessary to map soils quickly and accurately. In this study, multilayer perceptron artificial neural networks(ANNs) were developed to map soil units using digital elevation model(DEM) attributes. Several optimal ANNs were produced based on a number of input data and hidden units. The approach used test and validation areas to calculate the accuracy of interpolated and extrapolated data. The results showed that the system and level of soil classification employed had a direct effect on the accuracy of the results. At the lowest level, smaller errors were observed with the World Reference Base(WRB)classification criteria than the Soil Taxonomy(ST) system, but more soil classes could be predicted when using ST(7 soils in the case of ST vs. 5 with WRB). Training errors were below 11% for all the ANN models applied, while the test error(interpolation error) and validation error(extrapolation error) were as high as 50% and 70%, respectively. As expected, soil prediction using a higher level of classification presented a better overall level of accuracy. To obtain better predictions, in addition to DEM attributes, data related to landforms and/or lithology as soil-forming factors, should be used as ANN input data.Mohsen BAGHERI BODAGHABADI José Antonio MARTINEZ-CASASNOVAS Mohammad Hasan SALEHI Jahangard MOHAMMADI Isa ESFANDIARPOOR BORUJENI Norair TOOMANIAN Amir GANDOMKAR 2015Pedosphere2015,25,4:3
3Chemoselective tetrahydropyranylation of alcohols and phenols using polystyrene supported aluminium chloride as a catalyst 显示文摘Tamami B Borujeny K P 2004Tetrahedron Lett2004,45,:1
4Image Encryption Using Random Bit Sequence Based on Chaotic Maps显示文摘Himan Khanzadi Mohammad Eshghi Shahram Etemadi Borujeni 2014Arabian Journal for Science and Engineering2014,,2:1
5Chaotic image encryption system using phase-magnitude transformation and pixel substitution显示文摘Shahram Etemadi Borujeni Mohammad Eshghi 2013Telecommunication Systems2013,52,2:1
6Activated matrix metalloproteinase-8 in saliva as diagnostic test for periodontal disease A case-control study显示文摘Izadi Borujeni S Mayer M Eickholz P 2015Med Microbiol Immunol2015,204,6:1
7Chaotic image encryption system using phase-magnitude transformation and pixel substitution显示文摘Shahram Etemadi Borujeni Mohammad Eshghi 2013Telecommunication Systems2013,,2:1
8Prediction of soft tissue profile changes following orthodontic retraction of incisors in Iranian girls 显示文摘Sodagar A Borujeni DG Amini G 2010World J Orthod2010,11,3:1
9Image encryption usingrandom bit sequence based on chaotic maps 显示文摘KHANZADIH ESHGHI M BORUJENI S E 2014Arabian Journal forScience and Engineering2014,39,2:1
10Prediction of soft tissue profile changes following orthodontic retraction of incisors in Iranian girls显示文摘SODAGAR A BORUJENI D G AMINI G 2010World J Orthod2010,11,3:1
11Design and FPGA imple-mentation of a pseudo random bit generator using chaotic maps显示文摘KHANZADI H ESHGHIM BORUJENI S E 2013IE-TE Journal of Research2013,,59:1
12Description of Soil Evolution in Southern Mashhad City Using Jenny's and Johnson and Watson-Stegner's Conceptual Models显示文摘Conceptual models are suitable for describing internal relationships of complex systems, including soil. We used conceptual models,the Jenny's and Johnson and Watson-Stegner's models to understand the formation and evolution of soil. We studied 20 pedons in granitic hilly lands, loessial piedmont, and piedmont plain in southern Mashhad, northeast Iran. These soils were characterized by high levels of gypsum, especially in the granitic saprolites, which suggested the importance of the wind in shaping the soil structure.Jenny's model is a developmental and equilibrium model, which only describes the state of the soil formation factors and considers that each bioclimatic zone has a specific climax soil. It focuses on the genesis of the surface soil and is not suitable for buried soils and paleosols. Johnson and Watson-Stegner's model describes soil as a product of progressive and regressive processes due to horizonation or haploidization. Progressive processes during the last interglacial cycle created a well-developed paleosol with an argillic horizon in all landforms, except the piedmont plain. Developmental soil up-building by aeolian addition led to gypsum enrichment of the granitic saprolite. Erosion decreased soil thickness and exposed the argillic horizon. The Last Glacial Maximum led to greater deposition of loess, covering the paleosol. Humidity was higher during the early Holocene than today, leading to the development of a Bk horizon.This horizon was preserved in the stable surfaces of granitic hilly land and in the loessial piedmont, but buried on the piedmont plain via the deposition of alluvial sediments. Jenny's model could be used for current soil formation factors, whereas Johnson and Watson-Stegner's model required morphological characteristics of pedons for interpretation.Alireza KARIMI Isa ESFANDIARPOUR BORUJENI GHASEMZADEH GANJEHIE 2018Pedosphere2018,28,4:0
13环氧乙烷化合物加SiO2-AlCl3催化生成相应硫杂丙环显示文摘环氧乙烷化合物在乙腈中,加催化量SiO2-AlCl3和硫脲45℃反应1~2h,生成相应的硫杂丙环。8例收率85%~95%。Borujeni PK 李建华(摘) 2006中国医药工业杂志2006,37,9:0
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