[Evolution Trend of Water Quality in the Inner Mongolia Section of the Yellow River from 2003 to 2020].

Q2 Environmental Science
Yuan-Song Hou, Zhi-Lei Xie, Yong-Li Tian, Jia-Wei Jiang, Yun-Qing Liang, Qian Wang, Qiang Fang, Tao Xu, Ying-Fang Zhang, Hao Li, Li-Han Ce
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引用次数: 0

Abstract

The aim of this study was to comprehensively understand the water environment quality status and its change trend in the Inner Mongolia section of the Yellow River Basin. To analyze the water quality in recent years,the water quality data in the Yellow River basin from 2003 to 2020 were firstly collected from five typical monitoring stations.Various data analysis methods, including principal component analysis, cluster analysis, and a long short-term memory model, were used along with an improved comprehensive water quality identification index to explore the spatiotemporal characteristics of water quality in the Yellow River Basin. The results showed that the overall water quality in the basin has improved and stabilized over time. In terms of temporal variation, there was a distinction between the wet season and dry season, with a better status observed during the wet season due to increased agricultural irrigation and higher water volume. Spatially, the five monitoring sections could be divided into three categories based on strong natural factors that maintained their temporal characteristics during the wet season; however, significant differences were observed during the dry season due to urban water usage patterns. Analysis using LSTM models revealed that ammonia nitrogen will continue to decline and have a decreasing impact on the comprehensive water quality. These findings provide valuable insights for the comprehensive management of water quality in Inner Mongolia's Yellow River Basin.

[2003-2020年黄河内蒙古段水质演变趋势]。
本研究旨在全面了解黄河流域内蒙古段水环境质量现状及其变化趋势。为了分析黄河流域近年来的水质状况,首先从黄河流域的 5 个典型监测站点收集了 2003-2020 年黄河流域的水质数据,采用主成分分析、聚类分析、长短期记忆模型等多种数据分析方法,结合改进的水质综合识别指标,探讨了黄河流域水质的时空特征。结果表明,随着时间的推移,流域整体水质有所改善并趋于稳定。从时间变化来看,有雨季和旱季之分,雨季由于农业灌溉增加,水量增大,水质状况较好。从空间上看,五个监测断面可分为三类,一类是基于雨季期间保持其时间特征的强大自然因素;另一类是由于城市用水模式而在旱季期间观察到的显著差异。利用 LSTM 模型进行的分析表明,氨氮将继续下降,对综合水质的影响也将减小。这些发现为内蒙古黄河流域的水质综合治理提供了宝贵的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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