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Zhang Z, Sun L, Deng C, Dong L, Xu R, Nie C, Yang Q. A new perspective on anthropogenic nitrogen loss mitigation strategies: Integrated control via sustainable regional integration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170188. [PMID: 38244631 DOI: 10.1016/j.scitotenv.2024.170188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/09/2024] [Accepted: 01/13/2024] [Indexed: 01/22/2024]
Abstract
Unregulated regional integrated development disrupts the reactive nitrogen (Nr) cycle, adding complexity to anthropogenic Nr environmental losses. The objective of this study was to establish a framework for mitigating anthropogenic Nr loss through a new regional integration perspective by analyzing anthropogenic Nr loss and integrated control strategies in the Yangtze River Delta (YRD) region from 2011 to 2020. The results revealed that the total Nr loss in the YRD ranged from 1780.7 to 1972.0 Gg N yr-1. Re-linking cropland and livestock is crucial for reducing Nr loss, as they act as the main sources of Nr loss. Spatial analysis at the regional scale revealed that regional integration has led to a dispersion of Nr loss, while uneven development among cities has resulted in a westward shift of 8.6 km in the Nr loss centroid, suggesting the need for the implementation of collaborative governance and integrated environmental regulation in the YRD. At the city scale, 27 cities were clustered into six types based on the similarity of Nr loss structural characteristics, allowing for the development of targeted reduction policies based on the specific Nr structural characteristics of each city. The results of driver and mitigation potential analysis indicated the feasibility of achieving the shared goal of sustainable regional integration and the application of optimal mitigation strategies in different cities and the YRD. Overall, the new-perspective framework established in this study provides valuable references for sustainable Nr management in the context of regional integration.
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Affiliation(s)
- Zeqian Zhang
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Lihui Sun
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chenning Deng
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Li Dong
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Rui Xu
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chong Nie
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Queping Yang
- State key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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Deng O, Huang S, Wang C, Wei Y, Xia Y, Liu Z, Zhang X, Xiao W, He T, Wu X, Pradhan M, Gu B. Atmospheric Nitrogen Pollution Control Benefits the Coastal Environment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:449-458. [PMID: 38130002 DOI: 10.1021/acs.est.3c07546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Nitrogen is an essential nutrient and a major limiting element for the ocean ecosystem. Since the preindustrial era, substantial amounts of nitrogen from terrestrial sources have entered the ocean via rivers, groundwater, and atmospheric deposition. China serves as a key hub in the global nitrogen cycle, but the pathways, sources, and potential mitigation strategies for land-ocean nitrogen transport are unclear. By combining the CHANS, WRF-Chem, and WNF models, we estimated that 8 million tonnes (Tg) of nitrogen was transferred into the ocean in 2017 in China, with atmospheric deposition contributing 1/3. About half variation of the offshore chlorophyll concentration was explained by atmospheric deposition. The Bohai Sea was the hot spot of nitrogen input, estimated at 214 kg N ha-1, while other areas were around 25-51 kg N ha-1. The largest contributors are agricultural systems (4 Tg, 55%), followed by domestic sewage (2 Tg, 21%). Abatement measures could reduce nitrogen export to the ocean by 43%, and mitigating ammonia and nitrogen oxide emissions accounts for 33% of this reduction, highlighting the importance of addressing air pollution in resolving ocean pollution. The cost-benefit analysis suggests the priority of nitrogen reduction in cropland and transport systems for the ocean environment.
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Affiliation(s)
- Ouping Deng
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shuai Huang
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Chen Wang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yacan Wei
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Yongqiu Xia
- Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agr-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Zehui Liu
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Xiuming Zhang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Wu Xiao
- Department of Land Management, Zhejiang University, Hangzhou 310058, China
| | - Tingting He
- Department of Land Management, Zhejiang University, Hangzhou 310058, China
| | - Xiaobo Wu
- College of Resources, Sichuan Agricultural University, Chengdu 611130, China
| | - Mahesh Pradhan
- United Nations Environment Programme (UNEP), Coordinating Body on the Seas of East Asia (COBSEA), Bangkok 10200, Thailand
| | - Baojing Gu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Policy Simulation Laboratory, Zhejiang University, Hangzhou 310058, China
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China
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Liang Y, Zhang Y, Wang Y, Kong X, Cai Z, Wang Y. Increasing Nitrogen Losses Due to Changing Food Consumption Patterns in Bayannur City, China. Foods 2023; 12:foods12040752. [PMID: 36832827 PMCID: PMC9955498 DOI: 10.3390/foods12040752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/29/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023] Open
Abstract
Increasing urbanization and affluence have led to changes in food consumption patterns. The application of nitrogen (N) fertilizers ensures food security but also leads to environmental pollution due to N losses, through processes such as acidification, eutrophication, and greenhouse gas emissions. To clarify whether changes in food consumption patterns could increase N losses and to explore sustainable food system pathways, this study integrated the Chinese Food System Dashboard and the Nutrient Flows in Food Chains, Environment and Resources Use model to quantify and compare the link between food consumption and N losses in different agricultural regions using a case study of Bayannur City in the Yellow River Basin from 2000 to 2016. During the study period, Bayannur's food consumption pattern changed from a "high carbohydrate and pork pattern" to a "high fiber and herbivore pattern", which represents a shift from low to high N consumption. The per-capita food consumption decreased by 11.55% from 425.41 kg cap-1, whereas the per-capita N losses increased by 12.42% from 35.60 kg N cap-1. The average share of the plant-oriented and animal-oriented food supply in these losses was 53.39% and 46.61%, respectively. There were differences in the food consumption patterns and N losses in Bayannur's farming, farming-pastoral, and pastoral regions. The changes in N losses were most significant in the pastoral region. The N losses to the environment increased sharply by 112.33% from 22.75 g N cap-1 over the past 16 years. The low level of economic development in Bayannur resulted in a shift in the food consumption pattern to a high N consumption. Four measures to protect food security and reduce the food N cost were proposed: (1) increasing the wheat planting area and maintaining the existing corn one; (2) expanding the scale of high-quality alfalfa planting; (3) enhancing the area of oat grass and wheat replanting; and (4) using modern planting technology.
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Affiliation(s)
- Yihang Liang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Yanqin Zhang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Yuyue Wang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Xinggong Kong
- School of Geography, Nanjing Normal University, Nanjing 210023, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
- Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
| | - Zucong Cai
- School of Geography, Nanjing Normal University, Nanjing 210023, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
- Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
| | - Yanhua Wang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
- Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
- Correspondence:
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Zhang Z, Deng C, Dong L, Zou T, Yang Q, Wu J, Li H. Evaluating the anthropogenic nitrogen emissions to water using a hybrid approach in a city cluster: Insights into historical evolution, attribution, and mitigation potential. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 855:158500. [PMID: 36089012 DOI: 10.1016/j.scitotenv.2022.158500] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Anthropogenic reactive nitrogen (Nr) emissions from agricultural production and food consumption in city clusters have caused water quality degradation and scarcity. In this study, anthropogenic Nr emissions to the water environment were quantitatively evaluated in the Yangtze River Delta city cluster from 2011 to 2020 using coupling nitrogen (N) flow analysis and the grey water footprint (GWF) method. The spatiotemporal characteristics of the GWF and the relative contributions of natural and human factors to the water pollution level (WPL) were analyzed. The results showed that from 2011 to 2020, the total N-related GWF decreased by 12.1 %, mainly driven by reduced fertilizer application and livestock numbers. In 2020, the primary pollution source changed from livestock to humans; however, non-point sources still dominated the GWF. The spatial clustering trend of the GWF was significant: high and low GWF were mainly concentrated in the northeast and southwest regions, respectively. From 2011 to 2020, the mean center of the GWF moved west due to the decrease and increase in the eastern and western regions, respectively, supporting the pollution haven hypothesis. The WPL ranged from 2.67 to 5.03 and fluctuated due to variations in precipitation. The relative contributions of natural and human factors to the WPL evolution were 72.9 % and 27.1 %, respectively. According to the scenario analysis, increasing the N use efficiency to 50 %, manure recycling rate to 80 %, and sewage treatment rate in urban and rural regions to 98 % and 40 %, respectively, could decrease GWF by 39.6 %. The present study establishes an open framework to evaluate anthropogenic N emissions to water, and the outcomes provide valuable references for sustainable N management in city clusters.
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Affiliation(s)
- Zeqian Zhang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Chenning Deng
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Li Dong
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Tiansen Zou
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Queping Yang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Wu
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Haisheng Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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