Cargando…

Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019

Since the millennium, China has economically taken off with rapid urbanization, and anthropogenic nitrogen emission intensity has undergone remarkable changes. To better understand the impact of urbanization on anthropogenic nitrogen, this study calculated the spatio-temporal heterogeneity of anthro...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Meng, Guo, Qingjun, Wei, Yujun, Yu, Xuening, Hu, Jian, Tian, Liyan, Kong, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362473/
https://www.ncbi.nlm.nih.gov/pubmed/35931850
http://dx.doi.org/10.1007/s11356-022-21943-y
_version_ 1784764730589577216
author Cui, Meng
Guo, Qingjun
Wei, Yujun
Yu, Xuening
Hu, Jian
Tian, Liyan
Kong, Jing
author_facet Cui, Meng
Guo, Qingjun
Wei, Yujun
Yu, Xuening
Hu, Jian
Tian, Liyan
Kong, Jing
author_sort Cui, Meng
collection PubMed
description Since the millennium, China has economically taken off with rapid urbanization, and anthropogenic nitrogen emission intensity has undergone remarkable changes. To better understand the impact of urbanization on anthropogenic nitrogen, this study calculated the spatio-temporal heterogeneity of anthropogenic nitrogen in the Yangtze River Economic Belt (YREB) since 2000, based on the estimation, using obstacle analysis to quantify the driving of industry and agriculture on N growth and using the gray model to analyze the impact of urbanization on N changes. Additionally, using the environmental pressure model to predict the future N load. The results indicated N load in the YREB increased rapidly from 21.4 Tg in 2001 to a peak of 24.5 Tg in 2012 and then decreased to 22.2 Tg in 2019. Although N flux gradually increased from the west to the east of the YREB, the growth rate had an opposite trend with a negative growth in the eastern region. Hotspots are mainly concentrated in urban agglomerations, which contributed to ~ 60% N load of the YREB, and the YREB contributed to ~ 90% N load of the Yangtze River Basin. Obstacle degree scores indicated wastewater was a major industrial driver of N growth before 2010, and then became waste gas; increased mechanization and fertilizer control effectively reduced nitrogen emissions during agricultural development. The gray analysis of urbanization indicated urban population, industry, and services had the strongest correlation with N load changes. Scenario simulations suggest N loads of the YREB remain at a high level by 2030; however, there are still opportunities to effectively control N growth through high technological innovation and reducing the proportion of industry under an enormous population. This research contributes to a better understanding of the impact of urbanization on anthropogenic nitrogen and helps developing countries to precisely control nitrogen hotspots and sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-21943-y.
format Online
Article
Text
id pubmed-9362473
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-93624732022-08-10 Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019 Cui, Meng Guo, Qingjun Wei, Yujun Yu, Xuening Hu, Jian Tian, Liyan Kong, Jing Environ Sci Pollut Res Int Research Article Since the millennium, China has economically taken off with rapid urbanization, and anthropogenic nitrogen emission intensity has undergone remarkable changes. To better understand the impact of urbanization on anthropogenic nitrogen, this study calculated the spatio-temporal heterogeneity of anthropogenic nitrogen in the Yangtze River Economic Belt (YREB) since 2000, based on the estimation, using obstacle analysis to quantify the driving of industry and agriculture on N growth and using the gray model to analyze the impact of urbanization on N changes. Additionally, using the environmental pressure model to predict the future N load. The results indicated N load in the YREB increased rapidly from 21.4 Tg in 2001 to a peak of 24.5 Tg in 2012 and then decreased to 22.2 Tg in 2019. Although N flux gradually increased from the west to the east of the YREB, the growth rate had an opposite trend with a negative growth in the eastern region. Hotspots are mainly concentrated in urban agglomerations, which contributed to ~ 60% N load of the YREB, and the YREB contributed to ~ 90% N load of the Yangtze River Basin. Obstacle degree scores indicated wastewater was a major industrial driver of N growth before 2010, and then became waste gas; increased mechanization and fertilizer control effectively reduced nitrogen emissions during agricultural development. The gray analysis of urbanization indicated urban population, industry, and services had the strongest correlation with N load changes. Scenario simulations suggest N loads of the YREB remain at a high level by 2030; however, there are still opportunities to effectively control N growth through high technological innovation and reducing the proportion of industry under an enormous population. This research contributes to a better understanding of the impact of urbanization on anthropogenic nitrogen and helps developing countries to precisely control nitrogen hotspots and sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-21943-y. Springer Berlin Heidelberg 2022-08-05 2023 /pmc/articles/PMC9362473/ /pubmed/35931850 http://dx.doi.org/10.1007/s11356-022-21943-y Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Cui, Meng
Guo, Qingjun
Wei, Yujun
Yu, Xuening
Hu, Jian
Tian, Liyan
Kong, Jing
Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title_full Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title_fullStr Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title_full_unstemmed Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title_short Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019
title_sort variations and its driven factors of anthropogenic nitrogen loads in the yangtze river economic belt during 2000–2019
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362473/
https://www.ncbi.nlm.nih.gov/pubmed/35931850
http://dx.doi.org/10.1007/s11356-022-21943-y
work_keys_str_mv AT cuimeng variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT guoqingjun variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT weiyujun variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT yuxuening variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT hujian variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT tianliyan variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019
AT kongjing variationsanditsdrivenfactorsofanthropogenicnitrogenloadsintheyangtzerivereconomicbeltduring20002019