Evaluation of the carrying capacity of mineral resources is one of the important research content in the implementation of sustainable development. Based on analyzing the metallogenic geological characteristics, distribution, and resource status of mineral resources in southern Shaanxi, this paper establishes an analysis model of mineral resources and mineral advantages based on the analytic hierarchy process and applies them to evaluate the advantages of mineral resources. To provide optimal and efficient results, an improved model of an artificial neural network based on the bat optimization algorithm has been utilized. Through model analysis, the potential value and carrying capacity of mineral resources in three major prefecture-level cities in southern Shaanxi are comprehensively evaluated and analyzed. The results show that the main dominant minerals in southern Shaanxi are gold, lead zinc, and molybdenum ore. There are three grades of mineral resources carrying capacity: Shangluo City is an excellent grade, Hanzhong City is a good grade, and Ankang City is a general grade.
The southern Shaanxi Province, China, has abundant iron ore resources due to local ideal metallogenic conditions. The development and utilization of iron ore resources and other related industries serve as important pillars of the regional economy. In this paper, principals and methodology of system dynamics are adopted to develop a system model of interactions of development and utilization of mineral resources, social economy, and ecological environment, using the iron ore reserves in the southern Shaanxi region as a resource base, the regional GDP as a benchmark of regional economic development, and the environmental treatment expenditure as the measurement of the regional environmental protection efforts. The model is performed based on an optimized neural network by the particle swarm optimization algorithm. Through setting variables and parameters for the system and model simulation as well as comparative research, this paper analyzes the interconnectivity and interaction of the three subsystems and explores associated relationships among mineral resources, social economy, and environmental carrying capacity in the southern Shaanxi region. In addition, the present study also proposes advice on the development and utilization of iron ore resources, ecological protection, and high-quality development of the economy in the southern Shaanxi region based on the research results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.