北京市用水结构与产业结构的成分数据回归分析

A Regression Model Based on the Compositional Data of Beijing's Water Consumed Structure and Industrial Structure

城市经济发展带来了产业结构和用水结构的明显变化,本文分析了用水结构受产业结构变化影响的变动规律。用水结构和产业结构是一系列按照时间顺序排列的成分数据,运用软件S IM CA-P 11.5建立了基于偏最小二乘回归的成分数据线性回归模型,证明了用水结构组分变动与产业结构变动有一致性。为城市水资源管理提供了合理有效的定量方法,并可作为对未来用水结构预测的基础。

The economic development of city has brought great changes in both industrial structure and water consumed structure. This paper explores the dynamic feature of water consumed structure influenced by industrial structure. Water consumed structure and industrial structure can be dealt with as a series of compositional data according to a serial time sequence. A compositional data linear regression model based on Partial Least-Squares Regression was constructed using software SIMCA-P 11.5, and the coherence between water consumed structure and industrial structure was demonstrated. This method provides an effective quantitative analysis for city water resource management, and is also expected to be used for future prediction of water consumed structure.