Xinyu Li , Mingxuan Lu , Xuelin You , Lei Wang , Shuang Zhou , Jianhua Ren
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引用次数: 0
Abstract
Soil surface roughness (SSR) is widely employed to quantify the spatial variability of soil surface height in farmland, which also plays a critical role in soil erosion. However, traditional methods for measuring SSR are often time-consuming and labor-intensive, with limitations in measurement scale and accuracy. In this study, simulation approach for random and oriented SSR under Gaussian and exponential distributions was developed using the Monte Carlo algorithm. The accuracy and effectiveness of simulation results were validated through field measurements during the soybean growth period under various tillage practices. Thereafter, variations in SSR and their influencing factors across different tillage practices were systematically analyzed. Results demonstrated that the simulation of soil surface height under ridge-based tillage outperformed no-tillage. Additionally, discrepancies were observed in the fitting performance of SSR parameters derived from measured and simulated soil surface heights. Specifically, root mean square height (RMSH) and mean deviation (Ra) exhibited the best fitting performance, followed by root mean square slope (σm), while correlation length (CL) showed the poorest agreement between measured and simulated values. Correlation analysis and analysis of variance further revealed that the correlation and stability between measured and simulated SSR parameters followed the order: no-tillage > reduced tillage > conventional tillage > rotary tillage > combined tillage. During the crop growth period, various factors such as field management, precipitation, wind erosion, and gravity influenced SSR under different tillage practices. The results of this study contribute to broadening the methodologies for obtaining SSR, and enhancing the understanding of farmland surface processes.
期刊介绍:
Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research:
The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.