摘要
探讨了基于水基系统概念的区域水资源水环境保护治理思路,定义了具有持续性、随律性和变化性的定尺度水基系统演进的符点目标,从水资源承载力和水环境承载力的角度建立了区域水资源水环境取排水控制关系,用BP人工神经网络智能方法提出了对水量水质耦合过程以及水价调节作用进行学习、训练的架构,从而为推求区域水资源水环境保护治理的符点目标进行了步骤与方法的探索。
The paper discusses the protection and treatment research concept of the regional water resources and the water environment protection based on the water-based system, and establishes the definition of the symbolic target for the evolvement of acertain size water-based system which is durative, disciplinary and variable. The author sets up the water usage and drainage control relation for the regional water resources and water environment based on water resources and water environment＇s holding capacity, develops the framework of learning and training for the water quantity and water quality coupled process and the adjusting effect of water price by applying the brainpower method of the BP artificial neural network, and then, explores the steps and methods to decide the symbolic target of the protection and the treatment of the regional water resources and water environment.
出处
《水科学进展》
EI
CAS
CSCD
北大核心
2006年第6期859-864,共6页
Advances in Water Science
关键词
水资源
水基系统
符点目标
神经网络
承载能力
深圳河湾
water resources
water-based system
symbolic target
artificial neural network
holding capacity
Shenzhen River and Bay
