一类新型城市碳循环系统的分析和应用:以南京市为例

发布时间：2018-03-03 23:11

本文选题：城市系统　切入点：碳循环　出处：《数学的实践与认识》2016年23期 　论文类型：期刊论文

【摘要】：研究了一类新型城市碳循环系统及相关演化分析.基于南京市碳循环系统的相关数据,借助神经网络得到满足实际系统的参数.以人为碳效应指数为衡量指标,探究系统中各变量变化对系统的演化影响.结果表明:大气中碳的峰值到达得越晚,人为碳效应指数的数值越大;包括人类活动在内的动物圈中的碳储量的峰值越早达到,人为碳效应指数越大;人类活动是致使人为碳效应指数变大的主要原因,同时城市碳循环人为碳效应指数的控制应该多地区协同发展,总体人为碳效应指数降低,局部地区才会真正意义上降低.利用数值仿真来展示这些结果.
[Abstract]:This paper studies a new type of urban carbon cycle system and its related evolution analysis. Based on the relevant data of Nanjing carbon cycle system, the parameters satisfying the actual system are obtained by means of neural network. The artificial carbon effect index is taken as the measurement index. The results show that the later the peak value of carbon in the atmosphere reaches, the greater the value of the anthropogenic carbon effect index, and the earlier the peak value of carbon storage in animal circles, including human activities, is reached. The larger the anthropogenic carbon effect index is, the greater the anthropogenic carbon effect index is, and the more the urban carbon cycle anthropogenic carbon effect index is controlled, the more coordinated development should be, and the lower the overall anthropogenic carbon effect index is, the higher the anthropogenic carbon effect index is, the lower the anthropogenic carbon effect index is. Only in local areas can the results be reduced. Numerical simulation is used to show these results.
【作者单位】：江苏大学能源发展与环境保护战略研究中心;南京财经大学经济学院;
【基金】：国家自然科学基金(71303095,71303205,91546118) 江苏省普通高校研究生创新计划(CXLX-0651) 中国博士后基金(2015T80519,2014M551524) 江苏省博士后基金(1401049C)
【分类号】：X21

【相似文献】