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基于分形理论和地质统计学的表层土壤颗粒大小分布变化特征 被引量:3
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作者 张世文 张立平 +4 位作者 袁君 沈重阳 陈孝杨 叶回春 黄元仿 《中国农业科学》 CAS CSCD 北大核心 2014年第13期2591-2601,共11页
【目的】探究多角度、多尺度全面揭示土壤颗粒大小分布特征的方法体系,探索更加简单而又可综合定量分析评价土壤质量及其演变过程的手段。【方法】以计算的土壤颗粒体积分形维数(Dv)作为分析对象,建立集分形理论、传统统计学、分离土壤... 【目的】探究多角度、多尺度全面揭示土壤颗粒大小分布特征的方法体系,探索更加简单而又可综合定量分析评价土壤质量及其演变过程的手段。【方法】以计算的土壤颗粒体积分形维数(Dv)作为分析对象,建立集分形理论、传统统计学、分离土壤颗粒Dv的双对数图和地质统计学等理论和方法为一体的表层土壤颗粒大小分布变化特征分析方法体系,并基于此从点和区域2个尺度系统全面地研究表层土壤颗粒大小分布变化特征。【结果】粒径<10μm的土壤颗粒累积体积百分含量与Dv呈显著正相关,相关系数为0.46,而>50μm以内的土壤颗粒累积体积百分含量与Dv呈显著负相关,相关系数为0.63,土壤颗粒Dv值越小,土壤颗粒越粗;最大和最小Dv的双对数拟合图主要变化靠近拟合的直线,R2值均在0.9以上,拟合结果理想,分离的Dv能够包含整个土壤颗粒大小分布变化的程度。不同土壤有机质含量组之间土壤颗粒Dv存在一定差异性,土壤颗粒Dv能够客观地表征农田土壤质量的变化;随着高程增加,Dv表现相对比较复杂;褐土土壤颗粒Dv均值最大,潮土均值最小;粮田、园地和草地之间的土壤颗粒Dv差异性不明显。基于土壤颗粒Dv与环境因素关系分析的回归克里格法预测结果较为准确,区域和样点土壤颗粒Dv空间分布格局一致,较客观地反映了区域表层土壤颗粒大小分布变化特征。【结论】建立的方法体系能够从多角度、多尺度全面地反映土壤颗粒大小分布特征,分析结果符合实际,土壤颗粒Dv可以作为定量化分析评价和表征土壤质量及其演变过程的手段。 展开更多
关键词 体积分形维数 分形理论 土壤颗粒大小分布 地质统计学
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Difference in Organic Carbon Contents and Distributions in Particle-size Fractions between Soil and Sediment on the Southern Loess Plateau, China 被引量:6
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作者 LI Guang-lu PANG Xiao-ming 《Journal of Mountain Science》 SCIE CSCD 2014年第3期717-726,共10页
The purpose of this study was to assess the effect of long-term cultivation and water erosion on the soil organic carbon (OC) in particle-size fractions. The study site is located at Nihegou Watershed in the Souther... The purpose of this study was to assess the effect of long-term cultivation and water erosion on the soil organic carbon (OC) in particle-size fractions. The study site is located at Nihegou Watershed in the Southern Loess Plateau, China. The soil at this site is loess with loose and silty structure, and contains macropores. The results showed that the OC concentrations in sediments and in the particle-size fractions of sediments were higher than those in soils and in the particle-size fractions of soils. The OC concentration was highest in the clay particles and was lowest in the sand particles. Clay particles possessed higher OC enrichment ability than silt and sand particles. The proportions of OC in the silt fractions of soil and sediment were the highest (mean value of 53.87% and 58.48%, respectively), and the total proportion of OC in the clay and silt fractions accounted for 96% and 98% of the total OC in the soil and sediment, respectively. The loss of OC was highest in silt particles, with an average value of 0.16 Mg ha^-1 y^-1, and was lowest in the sand (0.003 Mg ha^-1 y^-l). This result suggests that the fine particle-size fraction in the removed sediment may be an important indicator to assess soil OC losses. 展开更多
关键词 Soil organic carbon Loess Plateau Enrichment ratio Water erosion Particle fraction
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Single and Joint Multifractal Analysis of Soil Particle Size Distributions 被引量:23
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作者 LI Yi LI Min R. HORTON 《Pedosphere》 SCIE CAS CSCD 2011年第1期75-83,共9页
It is noted that there has been little research to compare volume-based and number-based soil particle size distributions (PSDs). Our objectives were to characterize the scaling properties and the possible connectio... It is noted that there has been little research to compare volume-based and number-based soil particle size distributions (PSDs). Our objectives were to characterize the scaling properties and the possible connections between volume-based and number-based PSDs by applying single and joint multifractal analysis. Twelve soil samples were taken from selected sites in Northwest China and their PSDs were analyzed using laser diffractometry. The results indicated that the volume-based PSDs of all 12 samples and the number-based PSDs of 4 samples had multifractal scalings for moment order -6 〈 q 〈: 6. Some empirical relationships were identified between the extreme probability values, maximum probability (Pmax), minimum probability (Pmin), and Pmax/Pmin, and the multifractal indices, the difference and the ratio of generalized dimensions at q = 0 and 1 (Do - D1 and D1/Do), maximum and minimum singularity strength (αmax and OZmin) and their difference (αmax - αmin, spectrum width), and asymmetric index (RD). An increase in Pmax generally resulted in corresponding increases of Do - D1, αmax, αmax - αmin, and RD, which indicated that a large Pmax increased the multifractality of a distribution. Joint multifractal analysis showed that there was significant correlation between the scaling indices of volume-based and number-based PSDs. The multifractality indices indicated that for a given soil, the volume-based PSD was more homogeneous than the number-based PSD, and more likely to display monofractal rather than multifractal scaling. 展开更多
关键词 distribution probability generalized dimensions laser diffractometry SCALING singularity strength
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