Department of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India.
Environ Monit Assess. 2023 Aug 31;195(9):1112. doi: 10.1007/s10661-023-11687-8.
Soil erosion caused by water refers to the removal of topsoil by rainfall and runoff. Proper selection of an assessment method is crucial for quantifying the spatial variance of soil erosion. The Universal Soil Loss Equation (USLE) and its revised version (RUSLE) are widely used for modelling soil erosion. This study aimed to evaluate the effectiveness of the USLE-based soil erosion modelling in different agroecological regions of India, identify potential issues, and provide suggestions for future applications. The review revealed that little attention has been given to estimate soil erosion in high-priority land degradation regions of India. Additionally, many studies failed to thoroughly verify the authenticity of stated soil loss rates in their research regions either by overestimating or underestimating at least one of the five soil loss parameters. Furthermore, flaws in the application of methods to calculate these parameters leading to erroneous values were identified and suggestions for improvement were made. The USLE-based soil erosion modelling is an effective tool for quantifying soil erosion risk, but researchers should put emphasis on thoroughly verifying the methodologies adopted, unit conversions, and data availability for the estimation of soil loss parameters to improve the accuracy of their final results. This paper provides valuable insights to assist researchers in implementing USLE-based erosion models in diverse agroecological regions in India and elsewhere. However, for effective soil conservation and sustainable agriculture, further research is necessary to develop efficient techniques for using USLE-based soil erosion modelling to achieve a comprehensive understanding of erosion risk across different agroecological regions.
水蚀是指降雨和径流导致表土流失。选择适当的评估方法对于量化土壤侵蚀的空间变化至关重要。通用土壤流失方程(USLE)及其修订版(RUSLE)广泛用于土壤侵蚀建模。本研究旨在评估基于 USLE 的土壤侵蚀模型在印度不同农业生态区的有效性,识别潜在问题,并为未来的应用提供建议。审查结果表明,印度高度优先土地退化地区的土壤侵蚀估计问题尚未得到充分关注。此外,许多研究未能通过至少一个土壤流失参数的高估或低估来彻底验证其研究区域中陈述的土壤流失率的真实性。此外,还确定了在计算这些参数的方法应用中存在的缺陷,导致错误值,并提出了改进建议。基于 USLE 的土壤侵蚀建模是量化土壤侵蚀风险的有效工具,但研究人员应重点彻底验证所采用的方法、单位转换以及土壤流失参数估算的数据可用性,以提高最终结果的准确性。本文提供了有价值的见解,以协助研究人员在印度和其他地区的不同农业生态区实施基于 USLE 的侵蚀模型。然而,为了实现有效的土壤保持和可持续农业,需要进一步研究,以开发有效的技术,利用基于 USLE 的土壤侵蚀模型,全面了解不同农业生态区的侵蚀风险。