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Through graphical investigation of Soviet coal and Chinese coal, the follow-ing important conclusions are obtained. (1) The inadequacy of old coal classification methods is discussed and anentirely new method of coal classification with volatile matter on combustiblebasis as abssicca and the coal characteristic coefficient β=2.35((H~P-0.126O~P+0.04N~P)/(C~P+0.375S_?~Pas ordinate is proposed, The graphical charts show perfectly satisfactory withthe different kinds of coal located in perfectly distinct areas of...

Through graphical investigation of Soviet coal and Chinese coal, the follow-ing important conclusions are obtained. (1) The inadequacy of old coal classification methods is discussed and anentirely new method of coal classification with volatile matter on combustiblebasis as abssicca and the coal characteristic coefficient β=2.35((H~P-0.126O~P+0.04N~P)/(C~P+0.375S_?~Pas ordinate is proposed, The graphical charts show perfectly satisfactory withthe different kinds of coal located in perfectly distinct areas of classification.Thus the detailed classification which the old methods fail to give out, is perfectlypossible with the new method. (2) The ultimate composition of coal on combustible basis, like C~2, 0~2, H~2,N~2 and the analytical moisture, W~a and their variation with the volatile matteron combustible basis and with each other is graphically investigated and it isfound that their variation with each other proceeded with distinct regularitywith the exception of sulphur and ash, so that their composition percentage canbe approximatety estimated with rough accuracy through these graphs and theclose check of analytical results of ultimate composition can be carried outthrough the use of these graphs. (3) a general relationship in the proximate and ultimate composition of the pure coal substance on combustible basis for typical Chinese coals can bederived with the following straight line formula for the average percentage of car-ben on combustible basis in terms of the volatile matter on combustible basisin the region of bituminous coal: C~2=93.3-(V~2/4.55) during (8

此文系用图解方法进行研究: (Ⅰ)煤的分类方法,以何种方法为最合适(图解图1—9); (Ⅱ)煤的成分变化是否有一定的规律,及其相互间是否有一定的关系(图解图10—20); (Ⅲ)煤的原素分析与实用分析间的关系(图解图21—23); (Ⅳ)煤的发热量的变化(图解图24—28); (Ⅴ)燃煤所需理论空气量、理论乾烟气量及湿烟气量的变化(图解图29—31)。原始资料系利用:(1)中国各地产煤实用分析; (2)中国东北区及华北区原素分析; (3)苏联全苏热工研究所公布的固体及液体燃料的计算特性数据; (4)英国及德国的数据。图解研究结果,得出结论: 1.新的煤分类方法,以纯燃质挥发物为分类基础而同时结合煤的特性系数β的方法为最合适,或可认为近百年间国际间,对煤分类法的一个很重大的建议。 2.煤的成分变化,极有规律而成分间具有一定的关系。 3.煤的原素分析与实用分析间的关系,可用平均数值推演估计,而比较正确数据,可根据图解估计, 或可利用图解核对分析数据。 4.煤的发热量,即纯燃质氧弹发热量的变化极有规律,可用平均数据,利用近似公式推算,或按照肯定的煤的类别,根据图解来比较正确的估计...

此文系用图解方法进行研究: (Ⅰ)煤的分类方法,以何种方法为最合适(图解图1—9); (Ⅱ)煤的成分变化是否有一定的规律,及其相互间是否有一定的关系(图解图10—20); (Ⅲ)煤的原素分析与实用分析间的关系(图解图21—23); (Ⅳ)煤的发热量的变化(图解图24—28); (Ⅴ)燃煤所需理论空气量、理论乾烟气量及湿烟气量的变化(图解图29—31)。原始资料系利用:(1)中国各地产煤实用分析; (2)中国东北区及华北区原素分析; (3)苏联全苏热工研究所公布的固体及液体燃料的计算特性数据; (4)英国及德国的数据。图解研究结果,得出结论: 1.新的煤分类方法,以纯燃质挥发物为分类基础而同时结合煤的特性系数β的方法为最合适,或可认为近百年间国际间,对煤分类法的一个很重大的建议。 2.煤的成分变化,极有规律而成分间具有一定的关系。 3.煤的原素分析与实用分析间的关系,可用平均数值推演估计,而比较正确数据,可根据图解估计, 或可利用图解核对分析数据。 4.煤的发热量,即纯燃质氧弹发热量的变化极有规律,可用平均数据,利用近似公式推算,或按照肯定的煤的类别,根据图解来比较正确的估计,或利用图解核对试验的数据。 5.燃煤所需理论空气量,理论乾烟气量及湿烟气量均可用近似公式推算。

~~

本工作的主要目的是利用华北、中南和西南部分地区各地质年代岩石的天然剩余磁性资料来研究古地极位置,从而提供解决中苏太平洋区域成矿带地质构造问题的一些古地磁资料.我们用无定向磁力仪测定了175块岩石标本的天然剩余磁化强度.这些标本分别属于泥盆纪、石炭纪、二迭纪、三迭纪和侏罗纪五个地质年代.测定的结果是:泥盆纪的地极位置在北大西洋;石炭纪的地极位置比较散乱,这可能跟标本的天然剩余磁性较弱和测量仪器精密度较低有关;二迭纪和三迭纪的地极位置都在北太平洋;侏罗纪的地极位置在印度洋.这些结果跟其他学者分别按照欧美地区岩石天然剩余磁性所获得的结果并不一致.原因何在?目前还不能确定,有待进一步的研究.但若把中国地质矿藏情况进行检查,在这些年代里的古气候都更接近于赤道这一现象,使我们相信本工作的结果更与实际相符合.

Starting from the frequently adopted formula h=△_i/(10~((I_0-I_i)/S)—1)~(1、2),where h is the focal depth, Ai is the mean radius of the ith isoseismal, I_0 is the epicentral intensity and s is a parameter and taking the common logarithm, we have log h=log△_i—1/2log (10~(I_0-I_i)/S)—1),A graticule can be constructed on the basis of this formula with s as a variable parameter. By use of this graticule, the values of s and h for 19 Chinese earthquakes were determined and it was found that the s-values for Eastern...

Starting from the frequently adopted formula h=△_i/(10~((I_0-I_i)/S)—1)~(1、2),where h is the focal depth, Ai is the mean radius of the ith isoseismal, I_0 is the epicentral intensity and s is a parameter and taking the common logarithm, we have log h=log△_i—1/2log (10~(I_0-I_i)/S)—1),A graticule can be constructed on the basis of this formula with s as a variable parameter. By use of this graticule, the values of s and h for 19 Chinese earthquakes were determined and it was found that the s-values for Eastern China are lower than those for Western China. According to the material for 61 earthquakes, it was found that the value of s increases with the focal depth; however, its relation with the low-velocity layer is not evident.

根据常用公式 h=Δ_i/10~((I_0-I_i)/s)-1~(1/2), 式中h为震源深度,Δ_i为烈度为I_i的等震綫半径,I_0为震中烈度,S为一系数;取(1)式的对数得 logh=logΔ_i-1/2log[10~((I_0-I_i)/s)-1], 按(2)式可以作成一量版,以同时測定h和s。利用这个量版測定了19个中国地震的s和h,結合文献[4]的資料,指出中国东部的s系数比西部的偏低;且当深度加大时,s系数加大。采用文献[1,5]的資料測定了61个地震的s系数,結果表明s的数值随深度的增加而加大,占与低速层的关系并不明显。

 
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