文章摘要
丁海晶, 姜姜, 张金池.土壤渗透性的区域变化规律及因子分析[J].水土保持学报,2019,33(1):51~56
土壤渗透性的区域变化规律及因子分析
Regional Variation and Factor Analysis of Soil Permeability
投稿时间:2018-07-20  
DOI:10.13870/j.cnki.stbcxb.2019.01.009
中文关键词: 土壤入渗  影响因素  结构方程模型
英文关键词: soil permeability  influencing factor  sem
基金项目:国家重点研发计划项目(2017YFC0505500,2017YFC0505502);国家自然科学基金项目(41701225);江苏省自然科学基金项目(BK20170920);江苏高校品牌专业建设工程项目(PPZY2015A062)
作者单位E-mail
丁海晶, 姜姜, 张金池 南方现代林业协同创新中心, 南京林业大学水土保持与生态修复重点实验室, 南京 210037 ecologyjiang@gmail.com 
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中文摘要:
      通过应用数据挖掘和数据整合方法,以建立我国土壤渗透性数据库,并对影响土壤渗透性的各因子综合分析,揭示土壤渗透性的区域变化规律。结果表明:(1)土壤渗透性呈现明显的区域性变化,表现为西南地区 < 华北地区 < 东北地区。西南地区土壤渗透力最差,稳渗速率对数值为-0.5~-2.0;华北、东北地区整体数值均在0.5以上,土壤渗透力较强。(2)在影响土壤渗透力的各因子中,气候类型及林龄通过影响植被来间接改善土壤渗透力;植被能有效提升土壤渗透力,但不同植被类型间土壤渗透力并无显著差异;随土层深度的增加,土壤渗透力有所下降。土壤有机质、土壤容重及非毛管孔隙度对土壤渗透力的影响均存在一个阀值,其值分别为30%,1.0 g/cm3,30%。当各因子值超过此阀值,其对土壤渗透力的影响减弱。为更好地探究土壤类型对土壤渗透力的影响作用,在今后的研究中应加强对土壤结构、团聚体等数据的分析。(3)海拔、土层深度及土壤容重对土壤渗透力的影响主要通过影响土壤中非毛管孔隙数量来起作用的。非毛管孔隙度是影响土壤渗透力的主导因子,通径系数为0.34。
英文摘要:
      In this study, data mining and integration were used to establish China's soil permeability database, and comprehensive analysis of the influencing factors were applied to reveal the regional variation of soil permeability. The results showed that:(1) The changes in soil permeability were regional in Southwest China < North China < Northeast China. Southwestern China had the worst soil permeability, and the logarithm of infiltration rate fluctuated between -0.5~-2.0. The soil permeability in North and Northeast of China was good, with values above 0.5. (2) Climate types and forest ages indirectly improved soil penetration by affecting vegetation. Vegetation could effectively increase soil infiltration, but there was no significant difference between vegetation types. As soil layers deepened, soil permeability declined. The threshold values existed for all the effects of soil organic matter, soil bulk density and non-capillary porosity on soil infiltration. The values were 30%, 1.0 g/cm3, and 30%, respectively. When the value of each factor exceeded this threshold, its effect on soil penetration decreased. In order to better explore the effect of soil types on soil permeability, the analysis of soil structure, aggregates and other data should be strengthened in the future research. (3) The effects of altitude, soil depth and soil bulk density on soil permeability occurred mainly through affecting the number of non-capillary pores in the soil. Non-capillary porosity was the dominant factor affecting soil infiltration, with the path coefficient of 0.34.
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