基于D*算法的粤港澳大湾区臭氧工业能源产值率路径优化研究
Research on the Path Optimization of Ozone-Industrial Energy Output Rate in the Great Bay Area of Guangdong,HongKong and Macao Based on D*Algorithm
苏哲亿1
作者信息
- 1. 嘉应学院经济与管理学院,广东 梅州 514015
- 折叠
摘要
为协同粤港澳大湾区臭氧污染防控与工业发展,立足于臭氧浓度、工业生产总值、工业能源消费等视角,探索湾区工业布局优化路径;以2014-2018年湾区城市年均臭氧浓度、工业能源产值率为基础指标,绘制湾区各城市节点的臭氧浓度和工业能源产值率分布空间图,引入D*算法,运算得出激进型、温和型、平衡型三种优化路径,对协同降低湾区臭氧浓度与提高湾区工业能源产值率提供参考思路.
Abstract
In order to coordinate the prevention and control of ozone pollution and indus-trial development in the Great Bay Area of Guangdong,Hong Kong and Macao,we should explore the optimization path of industrial layout in the Bay Area based on the perspective of ozone concentration,industrial output value,industrial energy consumption,etc;Based on the average annual ozone concentration and industrial energy output rate of the cities in the Bay Area from 2014 to 2018,draw the distribution space map of ozone concentra-tion and industrial energy output rate of each city node in the Bay Area,introduce the D*algorithm,and calculate the three optimization paths of radical,moderate and balanced,providing reference ideas for collaborative reduction of ozone concentration in the Bay Area and improvement of industrial energy output rate in the Bay Area.
关键词
粤港澳大湾区/D*算法/臭氧污染/工业能源产值率Key words
Guangdong-Hong Kong-Macao greater bay area/D*Algorithm/ozone pollution/industrial energy output rate引用本文复制引用
基金项目
广州市教育局高校科研项目(202032864)
出版年
2024
NETL
NSTL
万方数据