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首页> 外文会议>Specialty Conference on Emission Inventory: Living in a Global Environment Vol.2 Dec 8-10, 1998, New Orleans, LA >The use of continuous functions for a top-down temporal disaggregation of emission inventories
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The use of continuous functions for a top-down temporal disaggregation of emission inventories

机译：使用连续函数自上而下按时间分类排放清单

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摘要

Emission data with high temporal resolution are necessary to analyze the relationship between emissions and their impacts. In many countries, however, emission inventories refer only to the annual countrywide emission sums, because underlying data (traffic, energy, industry statistics) are available for statistically relevant territorial units and for longer time periods only. This paper describes a method for the temporal disaggregation of yearly emission sums through application of continuous functions which simulate emission generating activities. The temporal patterns of the activities are derived through overlay of annual, weekly and diurnal variation functions which are based on statistical data of the relevant activities. If applied to annual emission data, these combined functions describe the dynamic patterns of emissions over a year. The main advantage of the continuous functions method is that temporal emission patterns can be smoothed throughout one year, thus eliminating some of the major drawbacks from the traditional standardized fixed quota system. For handling in models, the continuous functions and their parameters can be directly included and the emission quota calculated directly for a certain hour of the year. The usefulness of the method is demonstrated with NMVOC emission data for Austria. Temporally disaggregated emission data can be used as input for ozone models as well as for visualization and animation of the emission dynamics. The analysis of the temporal dynamics of emission source strengths, e.g. during critical hours for ozone generation in summer, allows the implementation of efficient emission reduction strategies.
机译：必须使用具有高时间分辨率的排放数据来分析排放与其影响之间的关系。但是，在许多国家，排放清单仅指的是全国范围内的年度排放总量，因为基础数据（交通，能源，行业统计数据）可用于具有统计意义的地区单位，并且仅适用于较长的时间段。本文介绍了一种通过应用连续函数模拟排放产生活动的年度排放总量的时间分解方法。活动的时间模式是通过叠加年度，每周和每日变化函数得出的，这些函数基于相关活动的统计数据。如果将这些函数应用于年度排放数据，它们将描述一年中排放的动态模式。连续函数方法的主要优点是可以在一年内平滑时间排放模式，从而消除了传统的标准化固定配额系统的一些主要缺点。为了在模型中进行处理，可以直接包含连续函数及其参数，并可以直接计算一年中某个小时的排放配额。奥地利的NMVOC排放数据证明了该方法的有效性。可以将按时间分类的排放数据用作臭氧模型的输入，以及排放动态的可视化和动画化。排放源强度的时间动态分析，例如在夏季产生臭氧的关键时刻，可以实施有效的减排策略。

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