Development and Application of a System Dynamics Model to Analyze Heatwave Impacts

C. Son, Yu Mi Kim, Yong Un Ban
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Abstract

The purpose of this study was to develop a system dynamics model to dynamically analyze the effects of heatwaves and apply it to real-world situations. For this purpose, first, the influencing factors of heatwaves were identified through previous studies. Second, a dynamic heatwave model was developed. Third, time series data from 2009 to 2018 were constructed, and the model was applied to Seoul. In this step, scenarios based on the budget were created, and the intensity of heatwaves resulting from changes in variables were measured. The results are as follows: First, the policy factors of heatwaves were classified into the cause and effect of the heatwave group, heatwave mitigation policy group, and heatwave adaptation group, forming a feedback structure. Second, it was observed that a 20% increase in budgets starting from 2040 led to temperature reductions of 1.57°C for the eco-friendly vehicle policy, 0.29°C for the high-efficiency air conditioners policy, 0.06°C for heatwave shelters, and 0.77°C for the creation of green space policy. Third, increasing the budget for heatwave shelters was found to be highly effective in reducing the number of people with heat-related illnesses.
开发和应用系统动力学模型分析热浪影响
本研究的目的是开发一个系统动力学模型,以动态分析热浪的影响,并将其应用于实际情况。为此,首先通过以往的研究确定了热浪的影响因素。其次,开发了一个动态热浪模型。第三,构建了 2009 年至 2018 年的时间序列数据,并将该模型应用于首尔。在此步骤中,根据预算创建了情景,并测量了变量变化导致的热浪强度。结果如下:首先,将热浪的政策因素分为热浪因果组、热浪减缓政策组和热浪适应组,形成反馈结构。其次,通过观察发现,从 2040 年开始增加 20% 的预算,环保汽车政策可使气温降低 1.57°C,高效空调政策可使气温降低 0.29°C,热浪避难所政策可使气温降低 0.06°C,创造绿色空间政策可使气温降低 0.77°C。第三,增加热浪庇护所的预算对减少热相关疾病患者人数非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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