Ground emission list inversion optimization method based on EnKF

An optimization method and inventory technology, which can be used in instruments, data processing applications, forecasting, etc., can solve problems such as large emission fluctuations and model errors, and achieve the effect of correcting emission errors and improving model forecasting.

Pending Publication Date: 2019-06-07
NANJING UNIV
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Problems solved by technology

[0002] Traditional emission inventories are usually obtained through on-the-spot investigation methods. Due to the complexity of the distribution and changes of pollution sources, the compilation of the inventory usually takes a long time and a lot of manpower to check various pollutants and establish models for estimation. The interior is fixed, so it will be affected by industrial development or policies, and the actual emissions will fluctuate greatly, resulting in large errors in the model

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  • Ground emission list inversion optimization method based on EnKF
  • Ground emission list inversion optimization method based on EnKF
  • Ground emission list inversion optimization method based on EnKF

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Embodiment

[0063]The average 2-m temperature, 2-m relative humidity and 10-m wind speed of 36 meteorological observation stations in China were selected to evaluate the simulated values. Table 1 gives the comparative statistical results. Overall, the simulated 10-m wind speed and 2-m temperature are slightly lower than the observed values, with BIAS of -1m / s and 4.3%, respectively, while the 2-m temperature is slightly higher, with a BIAS of 0.4°C. The CORR of 10-m wind speed, 2-m temperature and 2-m relative humidity are 0.62, 0.96 and 0.82, respectively, which shows that the simulated meteorological field and the observed field are in good agreement.

[0064] Table 1

[0065]

[0066] Such as figure 2 As shown in , a comparison of the time series of the simulated and observed meteorological fields at two stations in East China, Nanjing and Shanghai, is given. Overall, the temperature and relative humidity simulations are in good agreement with the observations, and the wind spee...

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Abstract

The invention discloses an EnKF-based ground emission list inversion optimization method. The method comprises the steps of constructing an EnKF list inversion system and coupling the EnKF list inversion system to WRF-CMAQ mode system; applying the list after inversion every day to the current day mode forecast again to provide an initial field for ensemble forecast in inversion of the next day, and using the average of the inversion lists of multiple days as a final optimized list; evaluating list area change and uncertainty; and carrying out long-time forecasting on the optimized list in theassimilation time period, comparing the optimized list with the original list forecast, and evaluating the improvement effect of the optimized list on the forecast. According to the method, the ensemble inversion assimilation system is constructed through the EnKF method to optimize the SO2, NOX and PM2.5 emission lists at the same time, so that the emission error is effectively corrected, and the mode prediction is improved.

Description

technical field [0001] The invention belongs to the field of environmental protection, in particular to a discharge inventory inversion optimization method. Background technique [0002] Traditional emission inventories are usually obtained through on-the-spot investigation methods. Due to the complexity of the distribution and changes of pollution sources, the compilation of the inventory usually takes a long time and a lot of manpower to check various pollutants and establish models for estimation. The interior is fixed, so it will be affected by industrial development or policies, and the actual emissions will fluctuate greatly, resulting in large errors in the model. Contents of the invention [0003] Purpose of the invention: To provide an EnKF-based inversion optimization method for surface emission inventory to solve the above-mentioned problems in the prior art. [0004] Technical solution: an EnKF-based inversion optimization method for surface emission inventory...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26
Inventor 冯树状江飞王恒茂
Owner NANJING UNIV
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