A scientifically reasonable water resources allocation plan is an important foundation for achieving high-quality development in wa-ter-deficient areas in northern China.Based on a systematic review of relevant research results,this article analyzed the characteristics of wa-ter resources and future allocation requirements in water-deficient areas in northern China,and proposed a model framework for optimal water resources allocation in water-deficient areas in northern China for high-quality development.This study systematically built the optimization of water resources allocation in water-deficient areas of northern China by considering target constraints,parameter settings and algorithm design.Improvements and effectiveness verification of the traditional particle swarm optimization algorithm were achieved by incorporating both inertial weights and learning factors.The proposed model and algorithm were applied to the case study of water resources allocation in Yangquan,a typical water-deficient city in northern China.The results show that there is significant potential for water conservation in indus-trial and domestic water use in Yangquan and Pingding County has the highest water consumption unit.The water demand satisfaction and wa-ter ecological environment carrying capacity in water-deficient areas are significantly improved by adopting the planning-level year water con-servation scenarios.The proposed framework for optimizing water resources allocation,which incorporates high-quality development objectives and key constraints in northern China,is feasible.
关键词
高质量发展/改进粒子群算法/多目标模型/水资源优化配置/北方缺水地区/阳泉市
Key words
high-quality development/improved particle swarm optimization/multi-objective model/optimal allocation of water resources/northern water-deficient area/Yangquan City