Abstract
Water and soil resources are fundamental natural resources. Therefore, it is highly important to understand the resilience of regional water and soil resources, the characteristics of which are nonlinear, self-organized and unpredictable. This study used a projection pursuit model based on the firefly algorithm (FA-PP) to quantitatively evaluate the water and soil system resilience of 15 farms in the Jiansanjiang administration of Heilongjiang Province, China. The results were compared with the results obtained by the projection pursuit model based on the genetic algorithm (GA-PP), and the validity and feasibility of the FA-PP model were verified. Further analysis revealed that the key factor influencing the resilience of agricultural water and soil resources was the irrigated area. The research results revealed the restoring situation of the local water and soil resource system and provided a foundation for the management of agricultural water and soil resources.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
