Coordinated Management Model of Water Resources Utilization and Regional Economic Development Based on Genetic Neural Network

Abstract

Water resources are crucial for a nation's political, economic, and environmental stability. To ensure sustainable utilization, promoting water-saving technologies and management innovations is essential. This study focuses on genetic neural networks to establish a coordinated management model. Agricultural sectors, with a water intake of 2066.92 cubic meters per 10,000 yuan output value, dominate national water consumption. Secondary industries consume an average of 312.74 cubic meters, while tertiary industries use 143.62 cubic meters, and quaternary industries use 3.52 cubic meters. Strengthening public awareness and participation in water resource protection is vital. Through genetic neural networks, an economic management model for each subsystem is developed to foster continuous, stable, and harmonious regional economic growth.