The Fractal Characters of Plough Soil Particles of Waste-grassland After Renovation in Hanzhong

LEI Na1; 2; HAN Jichang1

doi:10.13870/j.cnki.stbcxb.2016.06.049

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The Fractal Characters of Plough Soil Particles of Waste-grassland After Renovation in Hanzhong

更新时间：2025-03-12

- The Fractal Characters of Plough Soil Particles of Waste-grassland After Renovation in Hanzhong
- Vol. 30, Issue 6, Pages: 296-299(2016)
- 作者机构：
  
  1. 1．陕西省土地工程建设集团有限责任公司,西安,710075
  2. 2．西北农林科技大学水土保持研究所，陕西杨凌,712100
  3. 3．中国科学院水利部水土保持研究所，陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2016.06.049
  CLC： S152
- Published：2016
- 稿件说明：
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LEI Na1, 2, HAN Jichang1. The Fractal Characters of Plough Soil Particles of Waste-grassland After Renovation in Hanzhong[J]. 2016, 30(6): 296-299.
DOI：

LEI Na1, 2, HAN Jichang1. The Fractal Characters of Plough Soil Particles of Waste-grassland After Renovation in Hanzhong[J]. 2016, 30(6): 296-299. DOI： 10.13870/j.cnki.stbcxb.2016.06.049.

摘要

运用分形模型，结合野外调查和室内试验分析汉中市荒草地整治后耕作层土壤颗粒分形特征，探讨土壤颗粒分形维数与土壤质地、粒径组成以及养分含量的关系，建立整治后耕作层土壤分形维数预测函数。结果表明：（1）整治后土壤颗粒分形维数D介于2.55～2.95之间，均值为2.77，标准差为0.134，土壤颗粒分形维数与土壤质地有一定的关系，表现为土壤质地越细，分形维数越大。（2）土壤颗粒分形维数主要是由黏粒含量决定，分形维数与黏粒含量呈显著线正相关（R2=0.978 0）；利用分形维数与土壤黏粒（≤0.002 mm）建立的预测模型精确度高（R2=0.982 7），能够很好的预测土壤颗粒分形维数。（3）土壤分形维数与土壤全氮、有效磷和有机质含量的相关关系分别为0.914，0.580，0.513，分形维数与全氮、有效磷、速效钾含量均呈显著正相关关系，分形维数可作为衡量土壤肥力状况的有效指标。研究结论表明土壤分形维数 D能够很好的表征土壤质地、粒径组成以及土壤养分状况，可为土地整治工程开展后土壤质量评价以及土地资源的永续利用提供一定的参考。

Abstract

Based on fractal theory

field sampling and laboratory analysis

the fractal dimension of soil waste-grassland after renovation was studied in Hanzhong

correlation of fractal dimension with soil textural

grain diameters and nutrient content were also discussed

and the prediction model of soil fractal dimension after waste-grassland renovation was built. The results showed that as follow: (1) The fractal dimension of plough soil particles was between 2.55～2.95

the mean value and standard deviation was respectively 2.77 and 0.134.The relationship of fractal dimension of soil particles was significant with soil texture (R2=0.978 0)

characterized by the fine soil texture was

the bigger the fractal dimension was. (2) The fractal dimension of soil particles was mainly decided by the clay content

the between has significant positive correlation; the forecast model built using the fractal dimension and soil clay (≤0.002 mm) was high precision (R2=0.982 7)

it can better predict fractal dimension of soil particles. (3) The positive correlation relationship existed between soil fractal dimension and total nitrogen

effective phosphorus and available potassium (correlation coefficients: 0.914

0.580 and 0.513 respectively) respectively. Fractal dimension of soil particles can be used as the effective indicators of soil fertility conditions. Studies concluding that soil fractal dimension can be a good characterization of soil texture

particle size composition and nutrient status

it will provide certain reference for the determination of nutrient content and sustainable use of land resources after land renovation.

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