南京林业大学学报(自然科学版) ›› 2008, Vol. 32 ›› Issue (04): 38-42.doi: 10.3969/j.jssn.1000-2006.2008.04.008

• 研究论文 • 上一篇    下一篇

小流域尺度下土壤有机碳和全氮空间变异特征

李海东1,2,林杰1,张金池1*,张小庆1,张莉3,王圳1   

  1. 1. 南京林业大学, 江苏省高校林业生态工程重点实验室, 江苏 南京 210037; 2. 环境保护部南京环境科学研究所, 江苏 南京 210042; 3. 天津市环境影响评价中心, 天津 300191
  • 出版日期:2008-08-18 发布日期:2008-08-18

Spatial variability of soil organic carbon and total nitrogen based on small watershed scale

LI Hai-dong1,2, LIN Jie1, ZHANG Jin-chi1*, ZHANG Xiao-qing1, ZHANG Li3, WANG Zhen1   

  1. 1. Nanjing Forestry University, The Key Lab of Forestry Ecological Engineering of Jiangsu Province, Nanjing 210037, China; 2. Nanjing Institute of Environmental Sciences Ministry of Environmental Protection, Nanjing 2100d.2, China; 3. Environmental Impact Assessment Center of Tianjin, Tianjin 300191, China
  • Online:2008-08-18 Published:2008-08-18

摘要: <正>木材干燥理论(平衡含水率、木材传热及水分扩散、干燥应力和应变等)在木材的预处理、木材干燥工艺过程、木材的保护(贮存、求虫和防霉)、木制品的加工,以及木结构的强度设计中都有广泛的应用,、干峰理论对提高木材干燥的质量、缩短干燥时间、节约能耗、防止木制品在使用中开裂和变形,以及对保证木结构的强度和安全有着重要的指导作用

Abstract: The spatial variability characteristics of soil organic carbon (SOC) and total nitrogen (TN) were studied based on watershed scale, The data were analyzed by the Kriging interpolation method in the SUFER software. The results showed that the means of SOC and TN were 1.60%and 0. 15%, and the variance coefficients were 44. 43%and 30. 73%respectively. Both of them belong to medium spatial variability. SOC and TN presented normal distribution with Kolmogorov-Smirnov test value 0. 123 and 0.04.3. The theoretical semi-variogram models of SOC and TN were spherical and exponential respectively. The Col(Co+C) of SOC and TN were 24.12%and 3.57%respectively. It also indicated that the SOC and TN had strongly spatial self-relativity in this area. The geo-statistics precision of spatial variability of SOC and TN was significant based on watershed scale, with lag O. 500 km and range 7.4-08 3 km. The whole distribution tendency of SOC in this area was higher in the north part than that in the southeast part, but there was the lowest value existing in the middle part just as small block. The TN spatial distribution was similar with the distribution of SOC.

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