基于高精度数据库和3D模型的福建省土壤有机碳储量估算研究
[Abstract]:The accurate estimation of soil organic carbon reserves is of great significance to the formulation of agricultural management measures and the simulation of global carbon cycle. This study selected the Fujian Province, which was complex in topographic and geomorphology in the subtropical region, as the research object, with the soil map of each county (city) in the second Soil Census in 1982 and the 1:5 of the soil profile recorded in the soil ethnography. The high precision soil database and the 1:25 million digital elevation model (DEM) in this area are based on the analysis of the current 2D model (two-dimensional surface area) and the 3D model considering terrain factors (3D surface area) to estimate the difference of soil organic carbon reserves in this area, and use the latter to quantify the error size of the former, and the results can be used as our country. The theoretical basis for accurate estimation of soil organic carbon reserves is provided. The main results are as follows: (1) the total soil area of Fujian Province Based on two methods based on 2D and 3D models is 12.08 * 10~4 km~2 and 12.68 x 10~4 km~2 respectively; the soil organic carbon density of the surface (0~20 cm) and the section (0~100 cm) of the 2D model is 4.57 kg. M~2, respectively. The 11.55 kg / m~2,3D models are 4.59kg / m~ (-2) and 11.59kg m~ (-2), which are higher than the national average (2.97 kg.m~ (-2) and 9.13 kg.m~ (-2)), and the soil organic carbon reserves of the surface and section soils are 552 and 1396 respectively. The models are 582 and 1470 respectively, respectively, which account for the total soil organic carbon reserves in the surface and section of the country (27.40) respectively. And 84.40 Pg) 2.01% and 1.66%, 2.12%, and 1.74%. (2) from different soil types, based on the 2D and 3D models, the soil organic carbon density is the highest in the surface and section soil, which are 7.75 kg. M~2 and 29.07kg.m~ (-2), 7.74kg.m~ (-2) and 29.16kg.m~ (-2), and the lowest density of the organic carbon in the aeolian sandy soil, 0.94 respectively. M~ (-2) and 2.17 kg. M~ (-2), 0.94 kg. M~ (-2) and 2.17 kg m~ (-2). From the different administrative regions, the soil organic carbon density in the surface soil of Longyan is the highest in the estimated results based on the 2D and the model. The soil organic carbon density in the Nanping section is the highest, which is 15.05 and 15.09. The soil organic carbon density in the surface and section of the market was the lowest, which were 3.03 kg. M~ (-2) and 7.84kg. M~ (-2), 3.05 kg.m~ (-2) and 7.86 kg m~ (-2). ~ (-2) and 12.89kg m~ (-2); the soil organic carbon density in the surface and section of the plain is the lowest, 2.87kg. M~ (-2) and 8.21kg. M~ (-2), 2.87kg m~ and 8.21. (3) from the overall spatial distribution, the spatial distribution trend of soil organic carbon density in the surface and section of Fujian province is low in the coastal area, high in the inland area, especially in the north. The density of soil organic carbon in the surface soil is mainly concentrated in the range of 2.5 ~ 5 kg. M~ (-2), which accounts for 45.27% of the total soil area in the province. The density of soil organic carbon in the profile is mainly in the range of 5~15 kg.m~ (-2), and the distribution area is 60.35%. of the total soil area of the whole province, and the soil organic carbon density in the surface and section soil. The total increased with the elevation, but below 40 degrees, the density of organic carbon decreased slowly with the gradient, and the slope was above 40 degrees. The density of organic carbon first increased and then declined. (4) the estimated results of the current 2D model were based on the current commonly used model, and the average organic carbon density of the surface and section soil based on the 3D model considering topographic factors was relatively biased. The difference is 0.34% and 0.31% respectively. The relative deviation of the total organic carbon reserves is 5.30% and 5.26%., respectively, from the different soil types. The relative deviation of the soil organic carbon reserves in the soil and yellow soil subclasses of the mountain meadow and the yellow soil subclass is the largest, reaching 8.84% and 9.27%, 9.59% and 9.69%, respectively, and the surface layer of the coastal saline soil and the saline acid paddy soil subclass. The relative deviation of soil organic carbon reserves is the smallest, only 0.14% and 0.14%. from different administrative areas, the relative deviation of the soil organic carbon reserves in the surface and section of Nanping and Ningde is the largest, 5.95% and 5.90%, 5.94% and 5.92%, respectively, and the relative deviation of the carbon reserves in the surface and section of Xiamen is the lowest, 3.24% and 2.82%., respectively. In the same geomorphic type, the relative deviation of the soil organic carbon reserves in the surface and section of the mountain area is the largest, reaching 6.54% and 6.65%. The relative deviation of the soil organic carbon reserves in the surface and section of the plain is the smallest. The difference between the soil distribution area and the organic carbon reserves is more obvious when the gradient is more than 20 degrees, respectively, 1.58% and 1.49%.. The relative deviation is greater than 10%. At this time, the estimation result of 2D model is much lower than that of 3D model, which leads to large errors.
【学位授予单位】:福建农林大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:S153.6
【参考文献】
相关期刊论文 前10条
1 何清;陈楠;;联合频域信息的福建省山地形态分类[J];遥感信息;2016年03期
2 巢清尘;张永香;高翔;王谋;;巴黎协定——全球气候治理的新起点[J];气候变化研究进展;2016年01期
3 王海平;陈志峰;许标文;曾玉荣;;福建省粮食安全及其评价研究[J];福建农业学报;2015年12期
4 赵本嘉;黄锦学;李伟;邱曦;刘志江;林成芳;施友文;;福建中亚热带阔叶林土壤有机碳矿化的温度敏感性及其影响因素[J];亚热带资源与环境学报;2015年04期
5 周恒;田福平;路远;胡宇;时永杰;;草地土壤有机碳储量影响因素研究进展[J];中国农学通报;2015年23期
6 李晓迪;王淑民;张黎明;于东升;史学正;李加加;邢世和;王光翔;;土壤数据源和制图比例尺对旱地土壤有机碳储量估算的影响[J];土壤学报;2016年01期
7 薛树强;党亚民;秘金钟;刘纪平;董春;吴波;王世进;;顾及非线性地形因子的地表面积计算[J];测绘学报;2015年03期
8 龙军;张黎明;沈金泉;周碧青;毛艳玲;邱龙霞;邢世和;;复杂地貌类型区耕地土壤有机质空间插值方法研究[J];土壤学报;2014年06期
9 陈曦;;广西土壤有机碳储量估算及与全国部分省区的比较研究[J];地理科学;2014年10期
10 张志霞;许明祥;师晨迪;邱宇洁;;黄土丘陵区不同地貌单元土壤有机碳空间变异的尺度效应[J];自然资源学报;2014年07期
相关博士学位论文 前3条
1 杨柯;我国典型农耕区土壤固碳潜力研究[D];中国地质大学(北京);2016年
2 支俊俊;浙江省土壤有机碳估算及其尺度效应研究[D];浙江大学;2014年
3 苗正红;1980-2010年三江平原土壤有机碳储量动态变化[D];中国科学院研究生院(东北地理与农业生态研究所);2013年
相关硕士学位论文 前5条
1 李加加;苏北旱地土壤有机碳估算的尺度效应研究[D];福建农林大学;2013年
2 陈吉;基于GPS的土地面积测绘技术及土地管理信息系统的研究[D];浙江大学;2013年
3 赵莉敏;太湖地区水稻土有机碳空间分异及其影响因素的研究[D];南京农业大学;2008年
4 郭广芬;未来气候变化对我国土壤有机碳储藏的影响[D];中国气象科学研究院;2006年
5 刘畅;长白山北坡森林土壤有机质的累积过程及其影响因子[D];东北林业大学;2004年
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