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photochemical smog introduction analysis photochemical smog level comparison analysis level hourly ozone concentration average concentration ozone concentration smog pressure-type fiber bundle filters lead content introductionthis standard high light efficiency pruning
QX/T 241-2014 in English

QX/T 241-2014 in English

VALID

Grades of photochemical smog

  • Issued on:2014-10-24
  • Implemented on:2015-03-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $140.00
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Introduction

Analysis of the core content of the standard

This standard defines a three-level classification system for photochemical smog. The core judgment indicators include:

Key parameters Threshold requirements Monitoring methods
Ultraviolet index (UV) ≥4 (hourly average) GB/T 21005-2007
Peroxyacetyl nitrate (PAN) >5μg/m³ Hourly average concentration
Ozone concentration (O₃) Hourly/8-hour sliding mean QX/T 71-2007

Key points for graded implementation

Typical application scenarios

The 2018 observation case in Pudong New Area, Shanghai shows that when the ozone analyzer measures the hourly concentration at 312μg/m³ and the UV index is 6, the system automatically triggers a moderate pollution warning and the education department immediately calls a halt to outdoor sports activities in primary and secondary schools.

Level Comparison Analysis

Level Hourly Ozone Concentration (μg/m³) Health Intervention Measures
Mild 200-300 Sensitive groups should reduce prolonged outdoor activities
Moderate 300-400 It is recommended to wear KN95 masks
Severe >400 Close outdoor places in schools

Background of Technological Evolution

This standard refers to the WHO 1987 European Air Quality Guidelines and combines the pollution characteristics of my country's urban agglomerations:

  • 1990s: Only primary pollutants were monitored
  • 2000s: The concept of secondary pollutants was introduced
  • 2010s: A composite determination system for photochemical smog was established

Implementation Suggestions

  1. Establish a collaborative observation network of ultraviolet radiometers and ozone lidar
  2. Develop a hierarchical visual early warning platform based on GIS
  3. Improve the correlation analysis mechanism for the outpatient volume of respiratory departments in medical institutions

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