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Weathering indices for rhyolitic tuff and granite in Hong Kong
Institution:1. College of Engineering, Ocean University of China, Qingdao 266100, China;2. College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266100, China;1. Wroclaw University of Environmental and Life Sciences, Institute of Soil Science and Environmental Protection, Grunwaldzka 53, 50-357 Wroclaw, Poland;2. University of Bern, Institute of Geography, Hallerstrasse 12, 3012 Bern, Switzerland;3. University of Science and Technology, Department of Soil Science and Soil Protection, Bernardyńska 6, 85-029 Bydgoszcz, Poland;4. University of Wroclaw, Institute of Geological Sciences, Cybulskiego 32, 50-205 Wroclaw, Poland;5. Institute of Soil Science and Agrophysics, Department of Soil Science and Soil Protection, Agricultural University of Krakow, Mickiewicza 21,31-120 Krakow, Poland;1. GFZ German Research Centre for Geosciences, Section 3.4 Earth Surface Geochemistry, Telegrafenberg, 14473 Potsdam, Germany;2. Deutsche Forschungsgemeinschaft (DFG) Graduate School 1364, University of Potsdam, Institute of Geosciences, Karl-Liebknecht Str. 24, Haus 27, 14476 Potsdam, Germany;3. Institut de Physique du Globe de Paris, Université Paris Diderot, Sorbonne Paris-Cité, Centre National de la Recherche Scientifique, 1 rue Jussieu, 75238 Paris cedex 05, France;4. Institute of Soil Science, Leibniz Universität Hannover, Herrenhäuser Str. 2, 30419 Hannover, Germany;5. Department of Geography, University of Peradeniya, Peradeniya, Sri Lanka
Abstract:A series of chemical analyses and dry density tests of rhyolitic tuff and granitic samples have been carried out. The test results have been interpreted using a newly developed theoretical weathering model for calculating a mobility index of major elements in rock and soil. It is found that this index is useful for describing changes of rock and soil during weathering and classifying the degrees of weathering. Based on the theoretical model, a new parameter called the volume index, which combines chemical and physical data, is suggested. This index appears to be a good indicator for classifying the degree of weathering in Hong Kong. A quantitative classification scheme is suggested.
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