QX/T 574-2020 in English

Analysis of the Standard Core Framework

Key technology implementation points

1. Data quality control

The China Meteorological Administration Tropical Cyclone Optimal Track Dataset is used as the benchmark, and the wind speed data is required to comply with GB/T 35227-2017 and the precipitation data is required to comply with GB/T 35228-2017. Perform inverse distance weighted interpolation for missing data:

Z₀ = ∑(Zᵢ×λᵢ), λᵢ=d₀ᵢ⁻²/∑d₀ᵢ⁻²

2. Wind and rain separation technology

Standard Evolution and Innovation

Compared with historical methods, this standard has the following major breakthroughs:

• For the first time, a wind speed-precipitation dual factor weighting system was established (Table 1)
• Introduce a dynamic threshold mechanism: typhoon intensity is linked to scanning radius (Table C.1)
• Develop a rain belt topology identification algorithm (Appendix B.1.3)

Business implementation suggestions

1. Typhoon path matching and missing value interpolation need to be completed in the data preprocessing stage
2. When calculating the single-station index, pay attention to the division of weight coefficient intervals (the α/β values need to be strictly compared with Table 1)
3. For regional index calculation, it is recommended to use GIS spatial analysis tools to achieve site aggregation