School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Jul;29(35):52317-52335. doi: 10.1007/s11356-022-19440-3. Epub 2022 Mar 8.
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/(km·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.
准确识别流域内人为净氮输入(NANI)的时空变化是环境管理的重要内容。为了制定适合流域特点的统一管理和多样化控制策略,本研究建立了 NANI-S 模型,该模型将 NANI 模型与空间自相关分析方法相结合,是一个量化-分析-控制过程,以黄河流域(YRB)的 70 个地级市作为研究区域。结果表明:(1)YRB 的 NANI 先增加后减少,平均 NANI 值为 6787.59 kg/(km·a),表明 YRB 的整体 N 污染情况呈氮(N)肥投入为主的改善趋势,平均贡献率为 47.45%。(2)YRB 的 NANI 存在明显的空间差异,因为全局 Moran's I 在 0.67 到 0.78 之间波动。高 NANI 城市集中在中下游,而低 NANI 城市集中在上游。(3)提高肥料利用率和工业及生活污水处理能力是 N 控制的关键。基于这些结果,为水污染管理构建了切实可行的政策建议,为流域内的污染防治和高质量发展提供了科学依据。此外,这种分析方法也可应用于其他流域的 N 管理研究。