Abstract

To feed an increasingly affluent population, reactive nitrogen (Nr) inputs to China’s lands and waters have substantially increased over the past century. Today, China’s Nr emissions account for over one third of global total emissions, leading to serious environmental pollution and health damages. Quantifying the spatial variability of Nr inputs is crucial for the identification of intervention points to mitigate Nr pollution, which, however, is not well known. Here, we present a database describing Nr inputs to China for the year 2017 with a 1 km × 1 km resolution, considering land use and Nr sources, compiled by using the CHANS model. Results show that the North China Plain, the Sichuan Basin and the Middle-Lower Yangtze River Plain are hotspots of Nr inputs, where per hectare Nr input is an order of magnitude higher than that in other regions. Cropland and surface water bodies receive much higher Nr inputs than other land use types. This unique database will provide basic data for research on environmental health and global change modelling.

Highlights

  • Background & SummaryChina produced the world’s largest amount of reactive nitrogen (Nr) through Haber–Bosch nitrogen (N) fixation (HBNF), around 40 Tg Nr in 20171

  • Early successes in mitigating Nr pollution have been observed in recent years with the introduction of strict pollution control measures, Nr pollution still presents an area of widespread concern in China[3]

  • Due to the lack of a comprehensive, high resolution dataset on livestock distribution, spatially allocating these Nr inputs on different land areas and catchments is a grand challenge

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Summary

Introduction

Background & SummaryChina produced the world’s largest amount of reactive nitrogen (Nr) through Haber–Bosch nitrogen (N) fixation (HBNF), around 40 Tg Nr in 20171. China raises around 40% of global livestock, and manure N has become an important source of N inputs to lands and water bodies. Due to the lack of a comprehensive, high resolution dataset on livestock distribution, spatially allocating these Nr inputs on different land areas and catchments is a grand challenge.

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