Research on soil erosion in agriculture is urgent because it affects soil quality, and agricultural production, and causes environmental pollution. Research and application of science and technology to soil erosion can also contribute to the development of sustainable soil cultivation techniques. Our research aims to address the remaining issues of the RUSLE model [1] in calculating soil erosion levels, errors with actual measurement data, especially the results of erosion and sedimentation calculations, and the complex formulas that make the processing speed slow. We did this by experimenting with different combinations of factors to match the climate, specific properties, and soil composition of the two main landforms in Vietnam, which are mountainous and lowlands. Then, we compared the results with reality to select the optimal combination of factors. The best model is K+C, which produces output results ranging from 13.7 to 674 tons/ha/year and the calculation speed is increased to 1.32 seconds. This is also the desired outcome from an academic stand-point of this research.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Soil Classification and Estimation of Potential Soil Erosion in Mainland Viet Nam Using Improved Rusle Model

  • Vi Pham,
  • Anh Pham Nhat,
  • Anh Tuan-Nguyen Gia

摘要

Research on soil erosion in agriculture is urgent because it affects soil quality, and agricultural production, and causes environmental pollution. Research and application of science and technology to soil erosion can also contribute to the development of sustainable soil cultivation techniques. Our research aims to address the remaining issues of the RUSLE model [1] in calculating soil erosion levels, errors with actual measurement data, especially the results of erosion and sedimentation calculations, and the complex formulas that make the processing speed slow. We did this by experimenting with different combinations of factors to match the climate, specific properties, and soil composition of the two main landforms in Vietnam, which are mountainous and lowlands. Then, we compared the results with reality to select the optimal combination of factors. The best model is K+C, which produces output results ranging from 13.7 to 674 tons/ha/year and the calculation speed is increased to 1.32 seconds. This is also the desired outcome from an academic stand-point of this research.