Faculty of Geography, Yunnan Normal University, Kunming, 650500, China.
Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, 650500, China.
Environ Sci Pollut Res Int. 2024 Feb;31(7):11010-11025. doi: 10.1007/s11356-023-31506-4. Epub 2024 Jan 13.
As the main supply source of lakes, the water quality of the rivers entering the lakes directly determines the water safety and sustainable development of the lakes. Human activities are the direct cause of changes in the water quality of rivers entering lakes, and land use intensity is the direct manifestation of human activities on the land surface. Although significant progress has been made in studying the relationship between land use changes and water quality in lakes, there is still a lack of research on exploring the relationship between land use intensity and water quality at multiple scales, especially in comparative studies of different pollution source areas. To address this problem, this study used Pearson's correlation analysis and land use intensity index method to explore the response relationship between river water quality and land use intensity at different spatial and temporal scales and different pollution source areas using three lakes in central Yunnan as examples. The results showed that land use intensity was generally positively correlated with water quality, but the response relationship between land use intensity and different water quality indicators was significantly different at different scales and for different pollution source areas. Compared to non-urban areas, the impact of land use intensity on water quality is more significant in urban areas. Compared to the rainy season, the correlation between CODNa, TP, and NH-N values and land use intensity is stronger during the dry season, while the correlation between COD, TN, and land use intensity is weaker during the dry season. When viewed at different scales, different water quality indicators have different scale effects, but overall, the larger the scale, the stronger the correlation. Therefore, in the work of lake water environmental governance, it is necessary to consider comprehensively from multiple scales and perspectives and adopt measures that are more suitable for regional water pollution prevention and control.
作为湖泊的主要补给源,入湖河流的水质直接决定了湖泊的水安全和可持续发展。人类活动是导致入湖河流水质变化的直接原因,而土地利用强度是人类活动在地表的直接体现。尽管在研究湖泊土地利用变化与水质关系方面已经取得了显著进展,但仍缺乏对多尺度、多污染来源地区土地利用强度与水质关系的探索研究。针对这一问题,本研究以滇中地区的三个湖泊为例,采用 Pearson 相关分析和土地利用强度指数法,探讨了不同时空尺度和不同污染来源地区河流水质与土地利用强度的响应关系。结果表明,土地利用强度与水质总体上呈正相关,但在不同尺度和不同污染来源地区,土地利用强度与不同水质指标的响应关系存在显著差异。与非城区相比,城区土地利用强度对水质的影响更为显著。与雨季相比,旱季 CODNa、TP 和 NH-N 值与土地利用强度的相关性更强,而旱季 COD、TN 与土地利用强度的相关性较弱。从不同尺度来看,不同水质指标具有不同的尺度效应,但总体而言,尺度越大,相关性越强。因此,在湖泊水环境治理工作中,需要从多尺度和多角度综合考虑,并采取更适合区域水污染防控的措施。