Xia Shi-Yu, Lü Wen, Yang Jin-Yan, Yu Cheng
School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Suzhou Branch of Jiangsu Provincial Hydrology and Water Resources Investigation Bureau, Suzhou 215129, China.
Huan Jing Ke Xue. 2025 Jul 8;46(7):4241-4250. doi: 10.13227/j.hjkx.202406274.
River ecosystems are dynamic, open, and continuous systems that provide rich material resources and important survival environments for humans. Analyzing the temporal and spatial trends of urban river water quality and the influencing factors is of great significance for taking targeted measures to improve water environmental quality and alleviate water resource shortages. In this study, Suzhou located in the hinterland of the Taihu Lake Basin was taken as the study area to explore the characteristics of urban river water quality change. Based on the water quality monitoring data from 2008 to 2021, the study used the comprehensive water quality index (WQI) and geographical detector to investigate the long-term spatiotemporal trends and influencing factors of river water quality. The results showed that the median annual WQI value of river water in Suzhou increased from 51.16 in 2008 to 71.17 in 2021, indicating a gradual improvement in water quality. The water quality has significantly improved since 2016, which can be mainly attributed to a series of water quality control projects and policies implemented in Suzhou. In terms of seasonal differences, the median WQI values in the wet season, dry season, and normal flow season were 57.89, 61.58, and 63.68, respectively, with water quality in the wet season mainly affected by non-point source pollution. The water quality in all districts of Suzhou had improved significantly from 2008 to 2021, with Zhangjiagang exhibiting the best water quality, where all monitoring points showed good water quality, and Gusu District had the lowest proportion of good water quality due to a high percentage of construction land and high population density. In 2008, temperature and GDP were the main influencing factors of river water quality. By 2021, the impact of temperature and GDP on river water quality had decreased, while the influence of population density and land use on water quality had increased. The interaction of any two influencing factors had a higher explanatory power in Suzhou River water quality than a single factor alone, indicating that the water quality was influenced by a variety of factors from both nature and human activities, with the impact of human factors gradually surpassing natural factors. Additionally, the impact of natural and human factors on water quality was greater in the dry season than in the wet season. This study can provide a scientific reference for accurately identifying water quality influencing factors and proposing precise pollution prevention and control measures for surface water bodies in Suzhou and similar regions.
河流生态系统是动态、开放且连续的系统,为人类提供丰富的物质资源和重要的生存环境。分析城市河流水质的时空变化趋势及其影响因素,对于采取针对性措施改善水环境质量、缓解水资源短缺具有重要意义。本研究以位于太湖流域腹地的苏州为研究区域,探讨城市河流水质变化特征。基于2008年至2021年的水质监测数据,本研究采用综合水质指数(WQI)和地理探测器,对河流水质的长期时空变化趋势及影响因素进行了研究。结果表明,苏州河流水质的年WQI中位数从2008年的51.16上升至2021年的71.17,表明水质逐渐改善。自2016年以来水质显著改善,这主要归功于苏州实施的一系列水质控制工程和政策。在季节差异方面,丰水期、枯水期和平水期的WQI中位数分别为57.89、61.58和63.68,丰水期水质主要受面源污染影响。从2008年到2021年,苏州各城区水质均有显著改善,其中张家港水质最佳,所有监测点水质均为良好,而姑苏区由于建设用地比例高、人口密度大,水质良好的比例最低。2008年,温度和国内生产总值是河流水质的主要影响因素。到2021年,温度和国内生产总值对河流水质的影响减弱,而人口密度和土地利用对水质的影响增强。任何两个影响因素的交互作用对苏州河流水质的解释力都高于单一因素,表明水质受到自然和人类活动多种因素的影响,且人为因素的影响逐渐超过自然因素。此外,自然和人为因素对水质的影响在枯水期大于丰水期。本研究可为准确识别苏州及类似地区地表水水质影响因素、提出精准的污染防治措施提供科学参考。