Published October 2021 | Version v1
Journal article

Uncertainty of nitrogen budget in China

  • 1. School of Agriculture and Food, The University of Melbourne, Victoria, 3010 (Australia)
  • 2. Department of Land Management, Zhejiang University, Hangzhou, 310058 (China)
  • 3. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058 (China)
  • 4. College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058 (China)

Description

Highlights: • The latest nitrogen (N) budget for China and its uncertainty is compiled. • N accumulations in subsystems have the largest uncertainties. • The uncertainty of ammonia emission is mainly related to agriculture. • Multidimensional cross-check N budgeting framework is proposed. The accuracy of the nitrogen (N) budget is of great importance for evidence-based decision-making to address both food security and environmental protection challenges. This study attempts to advance understanding of uncertainties in China's N budget using the Coupled Human And Natural Systems (CHANS) model and Monte Carlo simulation from 1980 to 2018. Results show that the spatial and temporal variations in agricultural and industrial activities and insufficient knowledge on N cycling parameterization are the two dominant causes of uncertainties in the N budget in China. Uncertainties of N inputs generally are 30% for N accumulations. Uncertainty of nitrogen oxides emission is more sensitive to energy consumption due to the large contributions from industry and transportation. While the uncertainty of ammonia emission is predominantly affected by agricultural activity. Combining surface measurements, satellite observations, and atmospheric simulation models enables cross-check of N fluxes in multiple systems and reduces uncertainties of N budget.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.envpol.2021.117216

Additional details

Identifiers

DOI
10.1016/j.envpol.2021.117216;
PII
S0269749121007983;

Publishing Information

Journal Title
Environmental Pollution (1987)
Journal Volume
286
Journal Page Range
vp.
ISSN
0269-7491
CODEN
ENPOEK

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.