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==Resources==
 
==Resources==
*拟合可以用Excel粗略完成。也可以用Matlab等软件的[https://cn.mathworks.com/help/optim/ug/least-squares-model-fitting-algorithms.html?requestedDomain=www.mathworks.com 拟合工具库]做最小方差拟合。
+
*推荐用Python画图及拟合。也可以用Matlab等软件的[https://cn.mathworks.com/help/optim/ug/least-squares-model-fitting-algorithms.html?requestedDomain=www.mathworks.com 拟合工具库]做最小方差拟合。

Latest revision as of 09:00, 13 February 2024

Size distributions, integral quantities, and fitting to a lognormal distribution

Dataset

The dataset contains actual aerosol size distributions measured by the Scanning Mobility Particle Sizer (SMPS). Sent out by email.


Questions

任选观测期间的一个观测时间点:

  1. 根据资料画出n_N, n_N^e (以ln D为自变量的粒径分布),n_N^o (以log D为自变量的粒径分布)。
  2. 根据资料画出n_N^o, n_S^o, n_V^o。
  3. 根据画出的n_N^o,做lognormal拟合(自选模态数)。说明你的拟合步骤。把拟合结果与观测的n_N^o画在同一张图上,比较观测和拟合结果的异同。
  4. 根据上题拟合出来的lognormal distributions,推算出S(S&P Eq 8.49)和V(S&P Eq 8.52)的理论分布。并把这两个分布与观测的n_S^o、n_V^o画在同一张图上,比较观测和理论分布的异同。

注意所有图形中,需标示清楚变量、单位、线条、观测时间等。


Resources

  • 推荐用Python画图及拟合。也可以用Matlab等软件的拟合工具库做最小方差拟合。
  • This page was last modified on 13 February 2024, at 09:00.
  • This page has been accessed 5,643 times.