Wang Yanyan, He Yujiang, Zhan Jiang, Li Zhiping
College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China.
The Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Shijiazhuang, 050061, China.
Sci Rep. 2022 Jun 29;12(1):10960. doi: 10.1038/s41598-022-15141-6.
The geomorphology of river basin is complex, and its soil sedimentary characteristics are poorly defined. To study the spatial variability of soil structure in different sedimentary environments at the basin scale, 356 sets of soil samples were collected from five typical sedimentary environments in the Yellow River Basin and the Haihe River Basin, including the upper and lower reaches of the rivers, mountain-front plains, central alluvial plains and eastern coastal plains. The particle size distribution (PSD) of the soil samples was obtained using a laser particle size analyzer, and the fractal dimension (D) of the soil structure was derived by applying fractal theory. The PSD, D and the correlation between them were analyzed by the Pearson correlation method for typical sedimentary environments in two basins. The results show that: (1) The main soil types in the typical geological environments in the basin are sand, loamy sand, sandy loam, silty loam, and silty soil. The soil particle size in the upper and lower reaches of the rivers was higher than that in the plain areas. (2) In the plane, The D value descended in different regions in the following order: the mountain-front plain > the eastern coastal plain > the upper Yellow River > the central alluvial plain > the lower Yellow River. In the vertical direction for both rivers, the D value showed a decreasing trend with increasing burial depth. (3) The model results showed a cubic polynomial correlation between D values and PSD, which was closely related to the non-uniformity of particle size during sorting and deposition. The soil PSD and fractal characteristics are effective tools for the quantitative evaluation of soil structure in various sedimentary environments in the basin.
流域地貌复杂,其土壤沉积特征尚不明确。为研究流域尺度下不同沉积环境中土壤结构的空间变异性,从黄河流域和海河流域的五种典型沉积环境中采集了356组土壤样本,包括河流上下游、山前平原、中部冲积平原和东部沿海平原。使用激光粒度分析仪获得土壤样本的粒度分布(PSD),并应用分形理论推导土壤结构的分形维数(D)。采用Pearson相关方法对两流域典型沉积环境的PSD、D及其相关性进行了分析。结果表明:(1)流域典型地质环境中的主要土壤类型为砂土、壤质砂土、砂壤土、粉质壤土和粉质土。河流上下游的土壤粒径高于平原地区。(2) 在平面上,不同区域的D值按以下顺序下降:山前平原>东部沿海平原>黄河上游>中部冲积平原>黄河下游。在两条河流的垂直方向上,D值均随埋藏深度的增加而呈下降趋势。(3) 模型结果表明,D值与PSD之间存在三次多项式相关性,这与分选和沉积过程中粒径的不均匀性密切相关。土壤PSD和分形特征是定量评价流域各种沉积环境中土壤结构的有效工具。