Evidence map›Paper›PMID 39259806›Full record

ArticleScience advances2024

The impact of emissions controls on atmospheric nitrogen inputs to Chinese river basins highlights the urgency of ammonia abatement.

Sijie Feng, Mengru Wang, Mathew R Heal, Xuejun Liu, Xueyan Liu, Yuanhong Zhao, Maryna Strokal, Carolien Kroeze, Fusuo Zhang, Wen Xu

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Multimetric analysis uncovers time-dependent climate forcings from China's 2.3-fold cropland reactive nitrogen emissions.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sijie FengState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, Beijing 100193, China.ORCID 0009-0001-0777-0687
Mengru WangEarth Systems and Global Change Group, Wageningen University & Research, Wageningen 6708 PB, Netherlands.ORCID 0000-0002-2543-4871
Mathew R HealSchool of Chemistry, The University of Edinburgh, Edinburgh EH9 3FJ, UK.ORCID 0000-0001-5539-7293
Xuejun LiuState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8367-5833
Xueyan LiuSchool of Earth System Science, Tianjin University, Tianjin 300072, China.ORCID 0000-0003-1097-1516
Yuanhong ZhaoCollege of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China.
Maryna StrokalEarth Systems and Global Change Group, Wageningen University & Research, Wageningen 6708 PB, Netherlands.ORCID 0000-0002-8063-7743
Carolien KroezeEarth Systems and Global Change Group, Wageningen University & Research, Wageningen 6708 PB, Netherlands.ORCID 0000-0002-8954-6629
Fusuo ZhangState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, Beijing 100193, China.
Wen XuState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, Ministry of Education, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, Beijing 100193, China.ORCID 0000-0001-5264-7445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive nitrogen (N) deposition affects aquatic ecosystems worldwide, but effectiveness of emissions controls and their impact on water pollution remains uncertain. In this modeling study, we assess historical and future N deposition trends in Chinese river basins and their contributions to water pollution via direct and indirect N deposition (the latter referring to transport of N to water from N deposited on land). The control of acid gas emissions (i.e., nitrogen oxides and sulfur dioxide) has had limited effectiveness in reducing total N deposition, with notable contributions from agricultural reduced N deposition. Despite increasing controls on acid gas emissions between 2011 and 2019, N inputs to rivers increased by 3%, primarily through indirect deposition. Simultaneously controlling acid gas and ammonia emissions could reduce N deposition and water inputs by 56 and 47%, respectively, by 2050 compared to 2019. Our findings underscore the importance of agricultural ammonia mitigation in protecting water bodies.

Identifiers

PMID39259806
PMCPMC11389798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.