Soil Erosion Assessment and Early Warning Model Based on Big Data and Artificial Intelligence

Abstract

Soil erosion can lead to the pollution of water bodies, further deterioration of the ecological environment, and pose a serious threat to humans and the biodiversity of the earth. In order to cope with this global challenge, it is particularly important to develop soil erosion assessment and early warning systems. With the support of soil erosion model and geographic information system, a new soil erosion assessment and early warning system based on the soil and water environment of Jilin Province was developed in this paper. The system can analyze rainfall data, satellite data and geographic information data more accurately, and then find out the key factors causing soil erosion. The study found that the slope had the greatest correlation with soil erosion, with a correlation of 1.12. The second is the soil type and vegetation type, and in the steep slope of > 25°, soil erosion is severe, and the land ecological condition is very poor. These research results not only have important reference value for the land spatial planning of Jilin Province, but also provide valuable experience and reference for the soil erosion control work in other areas. Through scientific planning and early warning system, it is expected to protect valuable land resources, maintain the ecological balance of the earth, and contribute to the sustainable development of mankind.