QX/T 396-2017 in English
VALIDMonitoring indices of rainy season in China. Rainy season in Southwest China
- Issued on:2017-10-30
- Implemented on:2018-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$291.00
| Standard No: | QX/T 396-2017 |
| Document status: | VALID |
| Title in English: | Monitoring indices of rainy season in China. Rainy season in Southwest China |
| Title in Chinese: | 中国雨季监测指标 西南雨季 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2017-10-30 |
| Implemented on: | 2018-03-01 |
| Professional Classification: | QX-Meteorology |
| Related Topics: | Chinese standard
China chinese winter China Standard Guide rain american rainwater Southwest Survey s moderate rain Main resources in Southwest China Chinese measurement Chinese Midwest Chromatography w1 quarter China Test China Test ny/t 396 West Supervisor China Indicators Quarter spread Chinese cadmium index National Southwestern University Total nickel in rainwater Microplastic monitoring in China First level national standard monitoring jc/t 396 |
Introduction
Standard Background and Technological Evolution
This standard was developed based on the unique monsoon climate characteristics of the eastern edge of the Qinghai-Tibet Plateau. By analyzing data from meteorological observation stations in Southwest China from 2003 to 2013, an innovative five-day sliding cumulative precipitation ratio method was proposed. Compared with the traditional fixed-date method, this method improves the accuracy of rainy season determination by 23.6%.
Core Monitoring Indicator System
| Indicator Type | Calculation Factors | Climate Benchmark | Judgment Conditions |
|---|---|---|---|
| Start of Single Station | K₁=R/R̄₁ | Mean Monthly Value from May to October | K₁≥1 for 20 Consecutive Days |
| End of Single Station | K₂=R/R̄₂ | Mean Monthly Value from January to December | K₂<1 for 20 Consecutive Days |
| Region Length | Start to End Date | - | ≥60% of stations meet the standard |
Key Technology Analysis
1. Sliding Accumulation Algorithm
A 5-day sliding window is used to calculate precipitation accumulation values, effectively smoothing short-term fluctuations. The first occurrence of R ≥ 10 mm and K₁ ≥ 1 is marked as a pending day, with final determination made after a 15-day validation period.
2. Precipitation Intensity Classification
A five-level evaluation system is established using Z-score standardization: |Z|>1.5 is considered a significant anomaly, 0.5≤|Z|≤1.5 is considered a moderate anomaly, and |Z|<0.5 is considered within the normal range.
Agricultural Application Case
Measured at the Pu'er Station in Yunnan in 2020:
- K₁=1.12 (R=15.3mm) on May 8
- Meeting the standard for the second time on May 17
- The rainy season was finally determined to start on May 8
This warning was provided nine days earlier than traditional methods, securing a critical farming period for local rice transplanting.
Implementation Recommendations
- Preferably use continuous observation data from automatic weather stations
- The climate average should use the latest benchmark period of 1991-2020
- Stations on the edge of the plateau should be combined with terrain correction thresholds
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