Abstract
It is an important content of environment management to accurately identify the time change and spatial distribution of net anthropogenic nitrogen inputs (NANI) in the river basin. In order to develop a unified management and diverse control strategy that fits the characteristics of the basin, this study establishes the NANI-S model combining the NANI model with the spatial autocorrelation analysis method, which is a quantification-analysis-control process, and takes the 70 prefecture-cities in the Yellow River Basin (YRB) as the study area. The result shows that (1) the NANI of YRB increased first and then decreased with an average NANI value of 6787.59 kg/(km2·a), showing that the overall N pollution situation of the YRB shows a trend of improvement in nitrogen (N) fertilizer input as the main source, and the average contribution rate was 47.45%. (2) There were obvious spatial differences in the NANI in the YRB because the global Moran’s I fluctuated between 0.67 and 0.78. Cities with high NANI clustered in the middle and lower reaches, while low NANI clustered in the upper reaches. (3) Improving fertilizer utilization rate and industrial and domestic sewage treatment capacity was the key point of N control. Based on the results, practical policy recommendations for water pollution management were constructed, which provides a scientific basis for pollution prevention and high-quality development in the basin. In addition, this analysis method can also be applied to other basin N management studies.
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The data set used or analyzed during this study is under study and cannot be shared due to confidentiality. Some of the publicly available datasets are detailed in the manuscript with sources and access.
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We would like to express our gratitude to the anonymous reviewers for their valuable comments.
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This research was funded by the National Natural Science Foundation of China (Grant No. 51909240).
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Zening Wu: supervision, conceptualization.
Mengmeng Jiang: conceptualization, data curation, formal analysis, software, writing – original draft, writing – review and editing.
Huiliang Wang: data curation, software.
Danyang Di: writing – review and editing, methodology.
Xi Guo: formal analysis.
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Wu, Z., Jiang, M., Wang, H. et al. Management implications of spatial–temporal variations of net anthropogenic nitrogen inputs (NANI) in the Yellow River Basin. Environ Sci Pollut Res 29, 52317–52335 (2022). https://doi.org/10.1007/s11356-022-19440-3
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DOI: https://doi.org/10.1007/s11356-022-19440-3