QX/T 395-2017 in English
VALIDMonitoring indices of rainy season in China. Flood season in South China
- Issued on:2017-10-30
- Implemented on:2018-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$175.00
| Standard No: | QX/T 395-2017 |
| Document status: | VALID |
| Title in English: | Monitoring indices of rainy season in China. Flood season in South China |
| Title in Chinese: | 中国雨季监测指标 华南汛期 |
| 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 Zhou Zhonghua China Standard Guide moderate rain South China Zhang Canned Chinese Chinese measurement DKL China Test China Test Tsubaki Zhonghua National flood season Chinese flood season Early Indicator Monitoring China Indicators Chinese cadmium index China Vietnam recently Huake Guozhong China Surveying Network Hua Guoqiang Microplastic monitoring in China Drugs during monitoring period First level national standard monitoring Raincoat national standard validity period |
Introduction
Interpretation of the core content of the standard
This standard innovatively divides the flood season in South China into two stages: the pre-flood season (April-June) and the post-flood season (July-October), and establishes a three-level determination system: single-station trigger → provincial confirmation → regional integration. The key technological breakthroughs are reflected in:
| Judgment dimension | Pre-flood season standard | Post-flood season standard |
|---|---|---|
| Starting conditions | Daily precipitation at a single station ≥38mm and 50% of provincial stations meet the standard | Automatically start the day after the pre-flood season ends |
| Ending conditions | Regional average precipitation <7mm and subtropical high ridgeline ≥22°N | Provincial average precipitation <5mm and the ratio of heavy precipitation stations <4% |
| Key parameters | 38mm threshold, 7mm cutoff value, 5-day duration | 5mm threshold, 4% station ratio, October 15th cutoff |
Intensity Grade Calculation System
A dual-index weighting algorithm is used: precipitation level (IP) with a 40% weighting, and heavy precipitation frequency level (IC) with a 60% weighting. Core formula:
Normalization uses the 1981-2010 climate benchmark to ensure data comparability. The intensity grade provides a quantitative assessment from significantly weak (Level 1) to significantly strong (Level 5).
Key Influences of Subtropical High
The position of the Northwest Pacific Subtropical High ridgeline (500hPa isobaric surface) is the core criterion for the end of the pre-flood season:
- It needs to be maintained north of 22°N for 5 consecutive days
- Form technical connection with QX/T304-2015 standard
- Reflect the evolution characteristics of the summer monsoon circulation system
Implementation Suggestions
Key Points of Data Processing
It is necessary to use unified observation data from national meteorological stations, with special attention to:
- Temporal consistency: uniformly use precipitation records from 20:00-20:00 or 08:00-08:00
- Spatial representativeness: ensure that the station coverage rate in the four provinces and regions is ≥50%
- Quality Control: Eliminate data interfered by extreme weather such as typhoons
Business Application Cases
2020 Guangdong Province Pre-Flood Season Monitoring:
- The single-station standard was triggered on April 13 (39.2mm in Yangjiang)
- The provincial 50% station requirement was met on April 20
- The subtropical high ridgeline jumped north to 23°N on June 28, confirming the end of the rainfall
- The final assessment intensity level was 4 (slightly strong)
Technical Evolution Analysis
This standard integrates the frontal precipitation classification method of Zheng Bin (2006) and the multi-indicator comprehensive method of Qiang Xuemin (2008). The main advances are:
- Establish a quantitative threshold system to replace subjective judgment
- Introduce dynamic indicators such as the subtropical high ridgeline
- Achieve seamless monitoring before and after the flood season
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