Impact of riparian landscape patterns on river water quality in the Miyun Reservoir Basin

被引：0

作者：

Wu, Aipu ^{[1
,2
]}

Ma, Chunzi ^{[1
,2
]}

Huo, Shouliang ^{[2
]}

Li, Tianxiao ^{[1
]}

Fu, Qiang ^{[1
]}

机构：

[1] School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin

[2] State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing

来源：

Dili Xuebao/Acta Geographica Sinica | 2025年 / 80卷 / 03期

关键词：

landscape pattern; recursive feature elimination-random forest; redundancy analysis; riparian zone; river water quality;

D O I：

10.11821/dlxb202503010

中图分类号：

学科分类号：

摘要：

The riparian zone is a key area that affects river water quality, while the impacts of the riparian landscape pattern on water quality at various spatial scales is still controversial. Quantifying the spatial scale effects of riparian landscape patterns on water quality and determining key landscape indicators that affected water quality at various spatial scales were crucial for effectively improving river water quality. The Recursive Feature Elimination-Random Forest (RFE-RF) algorithm and Redundancy Analysis (RDA) were employed to analyze the response relationship between river water quality and riparian landscape patterns across different spatial scales in the Miyun Reservoir Basin, based on data collected from January 2022 to June 2023. Total nitrogen (TN) was the primary pollutant affecting the water quality of rivers in the study area. The riparian buffer zone scales with the strongest impact of landscape pattern on TN, total phosphorus (TP), ammonia nitrogen (NH3-N), chemical oxygen demand (COD), and permanganate index (CODMn) were 100 m, 800 m, 200 m, 25 m, and 400 m, respectively. The riparian landscape patterns had the stronger interpretability for TN, TP, NH3-N, and COD, while the interpretability of the riparian landscape pattern of CODMn was relatively weak. With the increase of the riparian spatial scale, there were significant fluctuations in the overall interpretability of landscape indicators on river water quality: The riparian landscape patterns at 25 m and 100 m had higher interpretabilities for the overall water quality, reaching 64.8% and 58.9%, respectively. The proportion of forest landscape, the average fractal dimension of grassland, and the patches density of bare land were the most important landscape indicators that influenced river water quality at the riparian spatial scales of 25-100 m, 200 m, and 400-800 m, respectively. This study helps to understand the impact mechanism of landscape patterns on water quality at various riparian spatial scales, and provided scientific basis for effective protection of river water quality. © 2025 Science Press. All rights reserved.

引用

页码：724 / 741

页数：17

共 68 条

[1]

Jones E.R., Bierkens M.F.P., van Puijenbroek P.J.T.M., Et al., Sub-Saharan Africa will increasingly become the dominant hotspot of surface water pollution, Nature Water, 1, 7, pp. 602-613, (2023)

[2]

Ma T., Sun S.A., Fu G.T., Et al., Pollution exacerbates China's water scarcity and its regional inequality, Nature Communications, 11, 1, (2020)

[3]

Zhang H.X., Cao X.H., Huo S., Et al., Changes in China's river water quality since 1980: Management implications from sustainable development, NPJ Clean Water, 6, 1, (2023)

[4]

Huo S., Ma C., Li W., Et al., Spatiotemporal differences in riverine nitrogen and phosphorus fluxes and associated drivers across China from 1980 to 2018, Chemosphere, 2023, 310

[5]

Lee S., McCarty G.W., Moglen G.E., Et al., Assessing the effectiveness of riparian buffers for reducing organic nitrogen loads in the Coastal Plain of the Chesapeake Bay watershed using a watershed model, Journal of Hydrology, 2020, 585

[6]

Sirabahenda Z., St-Hilaire A., Courtenay S.C., Et al., Assessment of the effective width of riparian buffer strips to reduce suspended sediment in an agricultural landscape using ANFIS and SWAT models, CATENA, 2020, 195

[7]

Zhang F., Chen Y., Wang W.W., Et al., Impact of land-use/land-cover and landscape pattern on seasonal in-stream water quality in small watersheds, Journal of Cleaner Production, 2022, 357

[8]

Xu Q.Y., Yan T.Z., Wang C.Y., Et al., Managing landscape patterns at the riparian zone and sub-basin scale is equally important for water quality protection, Water Research, 2023, 229

[9]

Zhang J., Li S.Y., Dong R.Z., Et al., Influences of land use metrics at multi-spatial scales on seasonal water quality: A case study of river systems in the Three Gorges Reservoir area, China, Journal of Cleaner Production, 206, pp. 76-85, (2019)

[10]

Zorzal-Almeida S., Salim A., Andrade M.R.M., Et al., Effects of land use and spatial processes in water and surface sediment of tropical reservoirs at local and regional scales, Science of the Total Environment, 644, pp. 237-246, (2018)

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