Principles of Soil Erosion Risk Modeling

Abstract

It is anticipated that modern agriculture practice patterns will accelerate soil erosion in a negative way. Evaluating the long-term impact of various management strategies on a large farm is a gauge of the sustainable practices of soil nutrients. To find areas at risk, there are generally three different methods used: qualitative research, statistical approach, and model approach. Each of these approaches has distinctive features and applications. The use of geographic databases created using GIS technology has improved all techniques and strategies created recently. The sustainability of agricultural ecosystems worldwide is severely threatened by low or nonexistent attention given to environmental impact assessments, which also seriously threaten soil systems. Both conventional field-based methodologies and soil erosion modeling can be employed to quantify soil erosion. Agricultural automation has increased along with the accessibility of finer scale global level data, strengthening agri-environmental related modeling approaches. Due to the laborious, moment, limited flexibility, and noncomparability of field-based methods, soil erosion modeling has many advantages over these assessments. The examined models will be examined this season in the direction of wind erosion. The model is useful for forecasting and highlighting the areas most impacted by erosion while also saving time and resources.