| Cite this article: | 张彦,梁志杰,李平,等.黄河干流及主要支流水质时空差异性及其变化特征研究[J].灌溉排水学报,0,():-. |
| ZHANG Yan,LIANG Zhijie,LI Ping,et al.黄河干流及主要支流水质时空差异性及其变化特征研究[J].灌溉排水学报,0,():-. |
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| DOI： |
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| Research on the Temporal and Spatial Differences and Variation Characteristics of Water Quality in the Yellow River Trunk and Major Tributaries |
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ZHANG Yan1, LIANG Zhijie1, LI Ping1, DOU Ming2,3, HUANG Zhongdong1, QI Xuebin1, GAO Qing1
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1.Institute of Farmland Irrigation,Chinese Academy of Agricultural Sciences;2.School of Water Conservancy Engineering,Zhengzhou University;3.School of Ecology and Environment,Zhengzhou University
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| Abstract: |
| 【Background】 The Yellow River Basin has abundant water resources and plays an important position in our country's economic and social development and ecological security. In 2019, President Xi Jinping stressed the importance of strengthening the protection of ecological environment, promoting the intensive utilization of water resources and high-quality development of the Yellow River Basin. With the rapid development of economy and society along the Yellow River and the influence of human activities, the changes of water resources and water environment have seriously restricted the development of industry and agriculture in the Yellow River Basin. The water ecological environment of the Yellow River Basin is affected by many factors, and river water pollutants are significantly different at different spatial and temporal scales. The analysis of the time and space distribution and analysis of the Yellow River water pollutants is of great significance to the identification and management of river water quality. 【Objective】The Yellow River Basin is an important industrial and agricultural development region, and the environmental conditions of water resources are one of the main factors that restrict the economic and social development. Understanding the water environment can provide a basis for ecological protection and high-quality development in the Yellow River Basin. 【Method】The twelve water quality monitoring sections of the main stream of the Yellow River and its tributaries Huangshui River, Weihe River and Fenhe River and four water quality indexes were selected, such as pH, dissolved oxygen(DO), permanganate index (CODMn), and ammonia nitrogen (NH3-N), and the temporal and spatial differences and variation characteristics of water quality in the Yellow River Trunk and Major Tributaries are analyzed by the multivariate statistical methods, and the introduction of the water pollution index method to assess the water environment of the Yellow River Basin. 【Result】The results showed that the water quality was the best in the main stream of Yellow River, followed in the Huangshui River and Weihe River, and the water quality was the worst in the Fenhe River, and the water quality indexes showed significant differences in space and time. The WPI values of the Minhe Bridge in Haidong, Weinan Tongguan Suspension Bridge and Yuncheng Hejin Bridge reached the water quality standards of Class IV and above more frequently (66.30%, 98.91% and 78.62%, respectively). The water quality of each monitoring section was poor in spring and winter, while that was relatively good in summer and autumn. The WPI values of each monitoring section presented a decreasing trend, which the decreasing trends of the Minhe Bridge in Haidong, Zhongwei Xintun and Tianshui Niubei were relatively significant. The results of spatiotemporal cluster analysis based on WPI index were consistent with the spatiotemporal distribution of water pollutant concentrations, the fluctuations of the WPI values in the Minhe Bridge in Haidong, Weinan Tongguan Suspension Bridge and Yuncheng Hejin Bridge are relatively large, and the fluctuations of the WPI values are relatively large in January to March. 【Conclusion】The water quality of the Yellow River Trunk and Major Tributaries has obvious temporal and spatial differences, but the overall water environmental conditions are gradually improving. |
| Key words: Yellow River; Temporal and spatial difference; Variation characteristics; Water pollution index; Cluster analysis |
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