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Deep Learning for Prediction of the Air Quality Response to Emission Changes

机译：深入学习，用于预测排放变化的空气质量

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摘要

Efficient prediction of the air quality response to emission changes is a prerequisite for an integrated assessment system in developing effective control policies. Yet, representing the nonlinear response of air quality to emission controls with accuracy remains a major barrier in air quality-related decision making. Here, we demonstrate a novel method that combines deep learning approaches with chemical indicators of pollutant formation to quickly estimate the coefficients of air quality response functions using ambient concentrations of 18 chemical indicators simulated with a comprehensive atmospheric chemical transport model (CTM). By requiring only two CTM simulations for model application, the new method significantly enhances the computational efficiency compared to existing methods that achieve lower accuracy despite requiring 20+ CTM simulations (the benchmark statistical model). Our results demonstrate the utility of deep learning approaches for capturing the nonlinearity of atmospheric chemistry and physics and the prospects of the new method to support effective policymaking in other environment systems.
机译：高效预测排放变化的空气质量反应是在制定有效控制政策时综合评估系统的先决条件。然而，代表空气质量与精确度的排放控制的非线性响应仍然是空气质量相关的决策中的主要障碍。在这里，我们展示了一种新的方法，将深入学习方法与污染物形成的化学指标结合在一起，利用综合大气化学传输模型（CTM）模拟的18种化学指标的环境浓度快速估计空气质量响应功能的系数。通过仅需要两个用于模型应用的CTM模拟，与现有的方法相比，新方法显着提高了计算效率，尽管需要20+ CTM模拟（基准统计模型），但是尽管需要实现较低的准确性。我们的结果展示了深度学习方法，用于捕获大气化学和物理学的非线性以及新方法的前景，以支持其他环境系统的有效政策制作。

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  • 来源
    《Environmental Science & Technology》 |2020年第14期|8589-8600|共12页
  • 作者

    Jia Xing; Shuxin Zheng; Dian Ding; James T. Kelly; Shuxiao Wang; Siwei Li; Tao Qin; Mingyuan Ma; Zhaoxin Dong; Carey Jang; Yun Zhu; Haotian Zheng; Lu Ren; Tie-Yan Liu; Jiming Hao;

  • 作者单位

    State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    Microsoft Research Asia Beijing 100080 China;

    State Key joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    Office of Air Quality Planning and Standards U.S. Environmental Protection Agency Research Triangle Park North Carolina 27711 United States;

    State Key joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    School of Remote Sensing and Information Engineering Wuhan University Wuhan 430079 China;

    Microsoft Research Asia Beijing 100080 China;

    School of Electronics Engineering and Computer Science Peking University Beijing 100084 China;

    State Key joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    Office of Air Quality Planning and Standards U.S. Environmental Protection Agency Research Triangle Park North Carolina 27711 United States;

    College of Environment and Energy South China University of Technology Guangzhou Higher Education Mega Center Guangzhou 510006 China;

    State Key joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

    Microsoft Research Asia Beijing 100080 China;

    State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China;

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