Related Experiment Video
Updated: Jul 7, 2025
Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace
Published on: September 6, 2018
Machine learning-based estimation and mitigation of nitric oxide emissions from Chinese vegetable fields
Zhaoqiang Han1, Yi Leng2, Zhirong Sun2
1Key Laboratory of Green and Low-carbon Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China; Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing, 210095, China.
Nitric oxide (NO) emissions from Chinese vegetable fields are estimated using a data-driven model. Climate-smart practices like biochar and bio-organic fertilizers can effectively reduce NO emissions while boosting crop yields.
Area of Science:
- Agricultural Science
- Environmental Science
- Soil Science
Background:
- Intensive vegetable farming leads to high nitrogen fertilizer use and significant nitric oxide (NO) emissions.
- Uncertainty exists regarding the scale, distribution, and mitigation of NO emissions in Chinese vegetable production systems.
Conclusions:
- Biochar amendment and replacing chemical fertilizers with bio-organic fertilizers are effective, sustainable practices.
- These climate-smart strategies offer a dual benefit of reducing NO emissions and improving vegetable yields.
- The study provides crucial data for developing regional NO emission inventories and mitigation strategies in agricultural soils.
More Related Videos
10:29Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
07:14Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx
Published on: December 20, 2016
