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Updated: Jul 12, 2026

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NO_x

Published on: December 20, 2016

Dry Particulate Nitrate Deposition in China.

Lei Liu¹, Xiuying Zhang¹, Yan Zhang²

¹Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University , Nanjing, 210023, China.

Environmental Science & Technology

|April 21, 2017

Summary

Limited ground data hinders understanding of dry nitrate deposition in China. This study uses satellite and model data to estimate nitrate deposition nationwide, aiding pollution assessment and monitoring strategies.

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Published on: October 7, 2020

Area of Science:

Atmospheric Chemistry
Environmental Monitoring
Remote Sensing

Background:

Dry particulate nitrate (NO3-) deposition monitoring in China is sparse, limiting understanding of spatial and temporal variations.
Accurate assessment of NO3- deposition is crucial for environmental management and policy development.

Purpose of the Study:

To expand ground-level nitrate concentration measurements to a national scale in China.
To estimate regional dry nitrate deposition using satellite and model-derived data.
To provide a basis for assessing pollution status in areas lacking ground measurements.

Main Methods:

Utilized Ozone Monitoring Instrument (OMI) NO2 columns and NO2 profiles from the MOZART-4 model to derive ground-level NO2 concentrations.
Inferred ground-level NO3- concentrations from derived NO2 concentrations using established relationships from the Chinese Nationwide Nitrogen Deposition Monitoring Network (NNDMN).
Employed an inferred model to estimate regional dry NO3- depositions across China.

Main Results:

Successfully expanded NO2 and NO3- concentration data to a national scale.
Provided regional estimates of dry nitrate deposition for China.
Identified areas with significant dry nitrate deposition, including those without prior ground monitoring.

Conclusions:

The developed method effectively estimates dry nitrate deposition over China, overcoming limitations of sparse ground measurements.
The findings support the assessment of pollution magnitude and status in data-scarce regions.
This study provides valuable data for future environmental monitoring network planning and policy decisions.