地理科学进展
地理科學進展
지이과학진전
PROGRESS IN GEOGRAPHY
2010年
1期
79-86
,共8页
张威%郭善莉%李永化%李云艳
張威%郭善莉%李永化%李雲豔
장위%곽선리%리영화%리운염
黄土粒度%分维值%环境变化%辽东半岛
黃土粒度%分維值%環境變化%遼東半島
황토립도%분유치%배경변화%료동반도
Loess%grain-size%fractal dimension%environmental change%Qiding hill
应用分形理论中的幂指甬数关系法,分别选取粒径r区间和质量累计百分含量5%~95%的范围为无标度区,对辽东半岛黄土的粒度分维特征进行分析.结果显示:以粒径r区间为无标度区(0.76~263.75μm),七顶山马兰黄土的粒度分维值介于2.2085~2.3184之间,平均值为2.2744,相关系数为0.8835;离石黄土粒度分维值介于2.2748~2.4237之间,平均值为2.3467,相关系数为0.8920.全剖面粒度分维值在2.2085~2.4237之间,平均值为2.3187,相关系数达0.88以上,粒度分布具有分形特征.而以质量累计百分含量5%~95%的范围为无标度区,马兰黄土分维值介于2.4220~2.5042之间,平均值为2.4761,相关系数为0.9889,分选系数为2.4067;离石黄土分维值介于2.4268~2.545之间,平均值2.4993,相关系数为0.983,分选系数为2.5097.全剖面分维值介于2.422~2.545之间,相关系数达0.98以上.研究得出:分维值的大小对黄土的形成环境有良好的指示意义,对同一种成因以及不同种成因的沉积物分维特征研究应注意无标度区的选择.本区马兰黄土比离石黄土的分维值低,反映马兰黄土沉积时东亚冬季风强盛,气候寒冷干燥,分选系数偏小,白组织程度低;离石黄土沉积时夏季风较冬季风强盛,气候温暖湿润,分选较差,分选系数稍大,白组织程度高,与传统粒度分析所反映的环境演变一致.
應用分形理論中的冪指甬數關繫法,分彆選取粒徑r區間和質量纍計百分含量5%~95%的範圍為無標度區,對遼東半島黃土的粒度分維特徵進行分析.結果顯示:以粒徑r區間為無標度區(0.76~263.75μm),七頂山馬蘭黃土的粒度分維值介于2.2085~2.3184之間,平均值為2.2744,相關繫數為0.8835;離石黃土粒度分維值介于2.2748~2.4237之間,平均值為2.3467,相關繫數為0.8920.全剖麵粒度分維值在2.2085~2.4237之間,平均值為2.3187,相關繫數達0.88以上,粒度分佈具有分形特徵.而以質量纍計百分含量5%~95%的範圍為無標度區,馬蘭黃土分維值介于2.4220~2.5042之間,平均值為2.4761,相關繫數為0.9889,分選繫數為2.4067;離石黃土分維值介于2.4268~2.545之間,平均值2.4993,相關繫數為0.983,分選繫數為2.5097.全剖麵分維值介于2.422~2.545之間,相關繫數達0.98以上.研究得齣:分維值的大小對黃土的形成環境有良好的指示意義,對同一種成因以及不同種成因的沉積物分維特徵研究應註意無標度區的選擇.本區馬蘭黃土比離石黃土的分維值低,反映馬蘭黃土沉積時東亞鼕季風彊盛,氣候寒冷榦燥,分選繫數偏小,白組織程度低;離石黃土沉積時夏季風較鼕季風彊盛,氣候溫暖濕潤,分選較差,分選繫數稍大,白組織程度高,與傳統粒度分析所反映的環境縯變一緻.
응용분형이론중적멱지용수관계법,분별선취립경r구간화질량루계백분함량5%~95%적범위위무표도구,대료동반도황토적립도분유특정진행분석.결과현시:이립경r구간위무표도구(0.76~263.75μm),칠정산마란황토적립도분유치개우2.2085~2.3184지간,평균치위2.2744,상관계수위0.8835;리석황토립도분유치개우2.2748~2.4237지간,평균치위2.3467,상관계수위0.8920.전부면립도분유치재2.2085~2.4237지간,평균치위2.3187,상관계수체0.88이상,립도분포구유분형특정.이이질량루계백분함량5%~95%적범위위무표도구,마란황토분유치개우2.4220~2.5042지간,평균치위2.4761,상관계수위0.9889,분선계수위2.4067;리석황토분유치개우2.4268~2.545지간,평균치2.4993,상관계수위0.983,분선계수위2.5097.전부면분유치개우2.422~2.545지간,상관계수체0.98이상.연구득출:분유치적대소대황토적형성배경유량호적지시의의,대동일충성인이급불동충성인적침적물분유특정연구응주의무표도구적선택.본구마란황토비리석황토적분유치저,반영마란황토침적시동아동계풍강성,기후한랭간조,분선계수편소,백조직정도저;리석황토침적시하계풍교동계풍강성,기후온난습윤,분선교차,분선계수초대,백조직정도고,여전통립도분석소반영적배경연변일치.
On the basis of the fractal theory and the selection of different methods of non-criterion degree, this paper analyzes the fractal characters of the loess deposits in the Peninsula of East Liaoning. Used the scale of particle size as the non-criterion degree, the fractal dimension value of Malan Loess is between 2.2085 and 2.3184, with an average of 2.2744, and the correlation coefficient of 0.8835. The value of Lishi Loess is between 2.2748 and 2.4237, with an average of 2.3467, and the correlation coefficient of 0.8920. The whole profile fractal dimension value is between 2.2085 and 2.4237, an average of 2.3187, and the correlation coefficient of more than 0.88. However, taking the scale of percentage of cumulating weight as the non-criterion degree, the fractal dimension value of Malan Loess is between 2.422-2.5042, with an average of 2.4761, and the correlation coefficient of 0.9889. The value of Lishi Loess is between 2.4268-2.545, with an average of 2.4993, and the correlation coefficient of 0.983. The whole profile fractal dimension value is between 2.422-2.545, with the correlation coefficient of more than 0.98. Compared with other regions, the grain-size distribution has good fractal characteristics. Fractal dimension of size in the environment for the formation of the Loess can be used as a good index. Selection of non-criterion degree should be taken into account during the research of the deposits with the same/ different origins. The fractal dimension of Malan Loess is lower than Lishi Loess, which indicates that Malan Loess deposited at the stage of strengthening of the East Asian winter monsoon with a cold and dry climate, and also with a small sorting coefficient. The sorting of the Malan Loess is slightly better than that of the Lishi Loess, suggesting that there are the low level of self-organization and the low-dimensional value. The Lishi Loess was deposited when the summer monsoon became stronger with a warm and humid climate. Poor separation and slightly larger sorting coefficient show that there is the higher degree of self-organization and fractal dimension.