论文标题
在气候变化下的基于知识的文明模型
A knowledge-based model of civilization under climate change
论文作者
论文摘要
文明产生知识,这是其发展的推动力。开发了知识生产对人口,能源消耗和环境条件的影响的宏观模型。该模型包括世界人口的动态方程,文明中循环的知识量,化石燃料在总能源消耗中的份额,大气中的二氧化碳浓度和全球平均表面温度。考虑到知识生产中的能量耗散和直接丧失知识。使用每个变量的历史数据对模型进行校准。计算了大约90个方案。结果表明,有两个控制参数 - 人口对温度升高和知识损失系数的敏感性 - 决定了文明的未来。在这些参数的二维空间中,有一个可持续发展的领域和稳定损失的领域。计算表明,文明位于将这些区域分开的临界曲线上,即稳定的边缘。很小的偏差最终会导致100亿人口的稳态或文明的完全灭绝。没有中间状态。
Civilization produces knowledge, which acts as the driving force of its development. A macro-model of civilization that accounts for the effect of knowledge production on population, energy consumption and environmental conditions is developed. The model includes dynamic equations for world population, amount of knowledge circulating in civilization, the share of fossil fuels in total energy consumption, atmospheric CO2 concentration, and global mean surface temperature. Energy dissipation in knowledge production and direct loss of knowledge are taken into account. The model is calibrated using historical data for each variable. About 90 scenarios were calculated. It was shown that there are two control parameters - sensitivity of the population to temperature rise and coefficient of knowledge loss - which determine the future of civilization. In the two-dimensional space of these parameters, there is an area of sustainable development and an area of loss of stability. Calculations show that civilization is located just on the critical curve separating these areas, that is, at the edge of stability. A small deviation can ultimately lead either to a steady state of 10+ billion people or to the complete extinction of civilization. There are no intermediate steady states.