社区对计算流体力学研究环境成本的态度
Community attitudes towards the environmental cost of computational fluid dynamics research
AI总结：
本研究调查英国曼彻斯特大学流体力学研究者对计算碳足迹的态度，发现其认知低且行为与态度不一致，强调提升环境意识教育的必要性。
摘要：
数值模拟支撑着当今许多流体力学研究。此类模拟通常依赖大规模高性能计算（HPC）系统，并产生显著的碳足迹。提高数据中心的效率或增加可再生能源发电的比例可以在一定程度上减轻科学计算对环境的影响，但研究者的态度也发挥着作用。研究者在模拟过程中做出的许多选择会影响模拟的碳足迹。要改变围绕模拟使用的行为，首先必须了解对这些行为的态度。在此，我们以英国曼彻斯特大学（University of Manchester）的流体力学研究者为对象开展了一项案例研究。我们发现，研究者对计算碳足迹的认知度较低，加之缺乏对用于运行模拟的具体硬件的了解。研究者自我声明的对减少其工作碳足迹的态度与其实际行动和选择之间存在差异。总体而言，研究者并未将碳足迹视为其决策中的重要因素，且我们未发现模拟的影响与其碳成本之间存在相关性。为了该领域的可持续性，提高对模拟环境影响的认知和教育至关重要。
英文摘要：
Numerical simulations underpin much fluid dynamics research today. Such simulations often rely on large scale high performance computing (HPC) systems, and have a significant carbon footprint. Increasing the efficiency of data centers or the proportion of electricity coming from renewable sources can lessen the environmental impact of scientific computing to a degree, but the attitudes of researchers also play a role. There are many choices researchers make which influence the carbon footprint of simulations. To change behaviours around simulation use, it is first necessary to understand attitudes toward them. Here, we present a case study on fluid dynamics researchers based in the University of Manchester, UK. We find a low awareness of the carbon footprint of computations, compounded by a lack of knowledge of the specific hardware used to run simulations. There is a discrepancy between researchers self-declared attitudes towards reducing the carbon footprint of their work, and their actions and choices. Overall, researchers did not consider carbon footprint as important in their decision making, and we found no correlation between the impact and carbon cost of simulations. Improved education and awareness of the environmental impact of simulations is imperative in the interests of the sustainability of this field.
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