当前位置:主页 > 科技论文 > 农业技术论文 >

浙江省土壤有机碳的剖面分布特性研究

发布时间:2018-03-05 03:00

  本文选题:浙江省 切入点:土壤剖面 出处:《浙江农林大学》2015年硕士论文 论文类型:学位论文


【摘要】:本文利用浙江省土系调查的145个剖面数据研究土壤有机碳的剖面分布特性。根据土壤系统分类,首先从土纲、亚纲、土类三个层面研究土壤有机碳与土壤深度之间的相关关系,获得一系列土壤有机碳随剖面深度分布的数学模型。然后以水耕人为土为例,利用土壤有机碳的剖面分布模型,采用改进的土壤类型法计算土壤有机碳的密度,并与其他学者的研究结果进行比较。研究表明大多数土壤类型的有机碳含量与深度呈现负相关关系。其中在土纲和亚纲层面,土壤有机碳含量和土壤深度之间可以用幂函数很好描述,如人为土有机碳与剖面深度之间关系为y=63.665t-0.61,R2=0.4244(n=254);淋溶土为y=51.028t-0.637,R2=0.5286(n=80);雏形土为y=35.093t-0.49,R2=0.3455(n=176)。在土类这一层面上,土壤有机碳含量与土壤深度的负相关关系更加明显,最佳拟合曲线方程有幂函数、指数函数、对数函数和二次函数,拟合精度较高。为验证本文所建立的土壤剖面有机碳分布模型的实用性和可行性,以浙江省面积大且有代表性的水耕人为土为例,根据本文建立的土壤有机碳剖面分布模型进行有机碳密度的估算,1 m土层水耕人为土的土壤有机碳密度范围为69.04~101.90 t·hm-2,平均值为85.47 t·hm-2,与通过土类计算的结果接近,同时也与其它研究者的结果接近,说明本方法的可行性。采用土壤有机碳剖面分布模型及改进的土壤类型法对土壤有机碳密度和储量计算能达到较好的效果,据此可以快速的计算出各种类型的土壤有机碳储量,这不失为一种估算土壤有机碳储量的新方法。
[Abstract]:In this paper, the distribution characteristics of soil organic carbon (SOC) profile were studied by means of 145 profiles of soil series survey in Zhejiang Province. According to soil system classification, the correlation between soil organic carbon and soil depth was studied from three aspects of soil order, subclass and soil type. A series of mathematical models for the distribution of soil organic carbon with the depth of soil profile were obtained, and the density of soil organic carbon was calculated by using the improved soil type method. The results are compared with those of other scholars. The results show that the organic carbon content of most soil types is negatively correlated with the depth of soil, especially at the soil and subclass levels. The relationship between soil organic carbon content and soil depth can be well described by power function. For example, the relationship between soil organic carbon and profile depth is yt63.665t-0.61n ~ (2) N ~ (2 +) ~ (0.4244N); the leaching soil is y ~ (51.028) -0.637 ~ (2) C ~ (2 +) 0.5286n800; and the prototype soil is y ~ (35. 093t) ~ (0.49) -0.3455N ~ (176N). The negative correlation between soil organic carbon content and soil depth is more obvious. The best fitting curve equation has power function, exponential function, logarithmic function and quadratic function. In order to verify the practicability and feasibility of the soil profile organic carbon distribution model established in this paper, the large area and representative soil of Zhejiang Province is taken as an example. According to the soil organic carbon profile distribution model established in this paper, the soil organic carbon density is estimated in the soil organic carbon density of soil organic carbon density in the soil layer of 1 m soil layer, the range of soil organic carbon density is 69.04 ~ 101.90 t 路hm ~ (-2), the average value is 85.47 t 路hm ~ (-2), which is close to the result calculated by soil type. At the same time, the results are close to those of other researchers, which shows the feasibility of this method. Using the soil organic carbon profile distribution model and the improved soil type method, the calculation of soil organic carbon density and reserves can achieve better results. Based on this, various types of soil organic carbon reserves can be calculated quickly, which is a new method for estimating soil organic carbon reserves.
【学位授予单位】:浙江农林大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:S153.6

【参考文献】

相关期刊论文 前10条

1 杨安广;苗正红;邱发富;杨清臣;王宗明;毛德华;;基于GIS的三江平原表层土壤有机碳储量估算及空间分布研究[J];水土保持通报;2015年02期

2 刘苗;刘国华;;土壤有机碳储量估算的影响因素和不确定性[J];生态环境学报;2014年07期

3 黄玉麟;郭治兴;吴志峰;柴敏;;土壤有机碳储量估算结果精度分析——以广东省为例[J];中国农学通报;2014年17期

4 上官魁星;吴金水;周脚根;朱捍华;;县域尺度土壤有机碳储量估算的样点密度优化[J];土壤学报;2014年01期

5 王晓旭;麻万诸;章明奎;;浙江省典型土壤的发生学性质与系统分类研究[J];土壤通报;2013年05期

6 周银;吴宏海;梁建设;史舟;;浙江省水稻土有机碳储量估算和密度比较研究[J];土壤通报;2013年04期

7 张甘霖;王秋兵;张凤荣;吴克宁;蔡崇法;章明奎;李德成;赵玉国;杨金玲;;中国土壤系统分类土族和土系划分标准[J];土壤学报;2013年04期

8 刘进来;马树恩;刘玲;;森林土壤有机碳储量及时空格局研究现状[J];河北林业科技;2013年03期

9 叶玲燕;傅伟军;姜培坤;李永夫;张国江;杜群;;浙江省森林表层土壤基本化学性质和有机碳储量的空间变异[J];浙江农林大学学报;2012年06期

10 朱耀军;郭菊兰;武高洁;;红树林湿地有机碳研究进展[J];生态学杂志;2012年10期



本文编号:1568430

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/nykj/1568430.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户e6d20***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com