流域“源-汇”景观格局对水质的影响——以千岛湖上梧溪流域为例
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1.南京信息工程大学环境科学与工程学院,南京 210044 ;2.中国科学院南京地理与湖泊研究所,湖泊与流域水安全全国重点实验室,南京 211135 ;3.浙江省杭州市淳安生态环境监测站,杭州 311700 ;4.浙江省杭州市生态环境科学研究院,杭州市城区生态环境监测站,杭州 310014 ;5.浙江省淳安千岛湖建设集团有限公司,杭州 311700

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国家自然科学基金项目(42071143);中国科学院青促会项目(2023330);中国科学院“一四五”自主部署项目(NIGLAS2022TJ16)联合资助


Influence of “source-sink” landscape pattern on water quality: A case study of Shangwuxi Basin of Lake Qiandao
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1.School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044 , P.R.China ;2.State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135 , P.R.China ;3.Chun'an Ecological Environment Monitoring Station, Zhejiang Province, Hangzhou 311700 , P.R.China ;4.Hangzhou Institute of Environmental Science, Urban Ecological Environment Monitoring Station of Hangzhou, Zhejiang Province, Hangzhou 310014 , P.R.China ;5.Chun'an Lake Qiandao Construction Group Co., Ltd., Zhejiang Province, Hangzhou 311700 , P.R.China

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    摘要:

    流域土地利用及“源-汇”景观格局通过影响污染物的产生、输移和消纳过程,从而对水质产生复杂影响。认识河流水质对流域土地利用及“源-汇”格局的响应关系是优化流域景观配置的前提和关键。本文以千岛湖上梧溪流域为研究对象,分析了总氮(TN)、总磷(TP)、硝酸盐氮(NO-3-N)、磷酸盐(PO3-4-P)和高锰酸盐指数(CODMn)等水质指标的时空变化特征,解析了子流域尺度土地利用和“源-汇”景观格局及其对河流水质的影响。结果表明,上梧溪流域主要河流水质指标浓度呈现出由上游到下游、由支流到主河道逐渐上升的空间特征。非汛期31个点位的月度水质监测数据中,有46%的数据TN浓度处于Ⅴ~劣Ⅴ类标准,且其平均浓度显著高于汛期,而TP和CODMn浓度多低于Ⅱ类标准,且总体略低于汛期。为进一步探究水质时空差异的原因,本研究引入景观格局指数和源汇景观空间负荷比指数(LWLI),发现LWLI与汛期和非汛期TN、NO-3-N和TP等水质指标呈显著正相关关系,说明当子流域中“源”景观面积比例越高、距离流域集水口越近、所处坡度越陡时,LWLI值也越大,其造成的氮、磷流失也更严重。对于汛期,茶园、水田、旱地等土地利用面积占比以及景观格局指数(如散布与并列指数(IJI)以及LWLI)分别解释了河流TN、TP和CODMn浓度的空间变异的46%、27%和58%。而在非汛期,这些因素分别解释了25%、46%和62%的空间变异。从“源-汇”景观格局的角度来看,上梧溪流域存在“源-汇”景观空间失调现象,“源”景观集中于中下游的河道附近,“汇”景观则多分布于距离河道较远的坡地上,这导致“汇”景观难以发挥截流净化的作用,建议通过调整土地利用结构和优化景观配置,具体如改善“源”景观的管理方式(如精准施肥与污水处理)并在关键源区设置植被缓冲带或湿地等“汇”景观来促进污染物的拦截。本研究通过引入LWLI,深化了对“源-汇”景观格局与水质响应关系的理解,为千岛湖流域水环境质量改善提供了科学依据。

    Abstract:

    The land use and “source-sink” landscape (SSL) pattern of watershed have complex effects on water quality by influencing the production, transport and absorption of pollutants. Understanding the response relationship of river water quality to watershed SSL is the prerequisite and key to optimize watershed landscape allocation. Based on the Shangwuxi Basin of Lake Qiandao, this paper analyzed the temporal and spatial changes of river water quality indicators such as total nitrogen (TN), total phosphorus (TP), nitrate nitrogen (NO-3-N), phosphate (PO3-4-P), and permanganate index (CODMn). The sub-catchment scale land use, SSL pattern and their effects on river water quality were analyzed. The results showed that water quality of main rivers in the basin gradual increased from upstream to downstream and from tributaries to main rivers. Monthly water quality monitoring on 31 points in non-flood season showed that 46% of the points had TN in Ⅴ- inferior Ⅴ standard, and the average concentration was significantly higher than that in flood season. TP and CODMn was mostly lower than class II standard, and was slightly lower than that in flood season. In order to further explore the causes of difference in water quality, this study introduced landscape pattern index and SSL spatial load ratio index (LWLI). Results found that LWLI was significantly positively correlated with water quality indexes such as TN, NO-3-N and TP in both flood and non-flood seasons. This indicated that the higher proportion of “source” landscape area in the sub-watershed, the closer to the catchment and the steeper the slope, the greater LWLI values and the higher nitrogen and phosphorus loss. For the flood season, the proportion of tea garden, paddy field and dry land, and landscape pattern indices such as dispersal and juxtaposition index (IJI) and LWLI could explain 46%, 27% and 58% of the spatial variation of TN, TP and CODMn concentration in rivers, respectively, while for the non-flood season, they could explain 25%, 46% and 62% of the spatial variation, respectively. From the perspective of SSL pattern, the spatial SSL imbalance existed in Shangwuxi Basin. The “source” landscape was concentrated near the middle and lower reaches of the river course, while the “sink” landscape was mostly distributed on the slopes far away from the river course, which made it difficult for the “sink” landscape to play the role of stream intercept and purification. It is suggested to adjust the land use structure and optimize the landscape configuration. For example, improve the management of “source” landscapes (such as precise fertilization and sewage treatment) and set up “sink” landscapes such as vegetation buffer zones or wetlands in key source areas to promote the interception of pollutants. By introducing the SSL spatial load ratio index, this study deepened the understanding of the relationship between SSL pattern and water quality response, and provided a scientific basis for the improvement of water environment quality in Lake Qiandao Basin.

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张西兑,王裕成,刘明亮,蒋男凯,李恒鹏,张汪寿.流域“源-汇”景观格局对水质的影响——以千岛湖上梧溪流域为例.湖泊科学,2025,37(5):1560-1572. Zhang Xidui, Wang Yucheng, Liu Mingliang, Jiang Nankai, Li Hengpeng, Zhang Wangshou. Influence of “source-sink” landscape pattern on water quality: A case study of Shangwuxi Basin of Lake Qiandao. Journal of Lake Sciences,2025,37(5):1560-1572. DOI:10.18307/2025.0520

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  • 收稿日期:2024-10-21
  • 最后修改日期:2025-01-16
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  • 在线发布日期: 2025-09-07
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