Wang Hui, Xiong Xiong, Wang Kehuan, Li Xin, Hu Hongjuan, Li Quanliang, Yin Hengqing, Wu Chenxi
State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
Sci Total Environ. 2023 Jun 1;875:162696. doi: 10.1016/j.scitotenv.2023.162696. Epub 2023 Mar 9.
Land use influences the variation of river water quality. This effect varies depending on the region of the river and the spatial scale at which land use is calculated. This study investigated the influence of land use on river water quality in Qilian Mountain, an important alpine river region in northwestern China, on different spatial scales in the headwaters and mainstem areas. Redundancy analysis and multiple linear regression were used to identify the optimal scales of land use for influencing and predicting water quality. Nitrogen and organic carbon parameters were more influenced by land use than phosphorus. The impact of land use on river water quality varied according to regional and seasonal differences. Water quality in headwater streams was better influenced and predicted by land use types on the natural surface at the smaller buffer zone scale, while water quality in mainstream rivers was better influenced and predicted by land use types associated with human activities at the larger catchment or sub-catchment scale. The impact of natural land use types on water quality differed with regional and seasonal variations, while the impact of land types associated with human activities on water quality parameters mainly resulted in elevated concentrations. The results of this study suggested that different land types and spatial scales needed to be considered to assess water quality influences in different areas of alpine rivers in the context of future global change.
土地利用影响河流水质的变化。这种影响因河流区域以及计算土地利用的空间尺度而异。本研究调查了中国西北重要高山河流区域祁连山中土地利用对河源区和干流区不同空间尺度河流水质的影响。采用冗余分析和多元线性回归来确定影响和预测水质的土地利用最佳尺度。氮和有机碳参数受土地利用的影响比磷更大。土地利用对河流水质的影响因区域和季节差异而有所不同。河源溪流的水质在较小缓冲区尺度下受自然地表土地利用类型的影响和预测效果更好，而干流河流的水质在较大集水区或子集水区尺度下受与人类活动相关的土地利用类型的影响和预测效果更好。自然土地利用类型对水质的影响随区域和季节变化而不同，而与人类活动相关的土地类型对水质参数的影响主要导致浓度升高。本研究结果表明，在未来全球变化背景下，评估高山河流不同区域的水质影响时需要考虑不同的土地类型和空间尺度。
