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基于无人机多光谱数据的海口长钦湖水质参数遥感反演及其与景观格局的相互关系

李清云 肖亦敏 林卫 雷金睿 王韫镭 孔玫蔓 杨云芳

生态环境学报2025,Vol.34Issue(12):1930-1943,14.
生态环境学报2025,Vol.34Issue(12):1930-1943,14.DOI:10.16258/j.cnki.1674-5906.2025.12.010

基于无人机多光谱数据的海口长钦湖水质参数遥感反演及其与景观格局的相互关系

Remote Sensing Inversion of Water Quality Parameters and Their Correlation with Landscape Patterns in Haikou Changqin Lake Based on UAV Multispectral Data

李清云 1肖亦敏 1林卫 2雷金睿 3王韫镭 4孔玫蔓 1杨云芳1

作者信息

  • 1. 浙江广厦建设职业技术大学城乡建设学院,浙江 东阳 322100
  • 2. 海南省林业科学研究院(海南省红树林研究院),海南 海口 571100||海南大学热带农林学院,海南 海口 570228
  • 3. 海南省林业科学研究院(海南省红树林研究院),海南 海口 571100||海口市湿地保护工程技术研究开发中心,海南 海口 571100
  • 4. 中国热带农业科学院香料饮料研究所,海南 万宁 571533
  • 折叠

摘要

Abstract

Land use and landscape patterns are key factors influencing the distribution of water quality in critical urban water bodies.Accurate and efficient water quality monitoring is essential for elucidating the correlation between water quality and landscape patterns,as well as for providing a scientific basis for water quality regulation and management.In this study,Changqin Lake in Haikou City was selected as the study area.By synchronously collecting water samples and UAV-based multispectral remote sensing data,optimal inversion models for total phosphorus(TP),total nitrogen(TN),turbidity(TUB),and chlorophyll-a(Chl-a)concentrations in wetland water during the dry and wet seasons were developed.Spatial distributions of these water quality parameters were generated,and their relationships with the landscape patterns were analyzed.The results showed that 1)For TP,TN,and Chl-a,the best was for TN in the dry season,and power function regression was optimal for TUB in the wet season.The inversion results suggested that Changqin Lake exhibited relatively low pollution levels and had good water quality.2)Spatiotemporal variations were observed in water quality parameters.The average and maximum concentrations of TP,TN,and Chl-a were higher in the wet season than in the dry season,whereas TUB showed significantly higher values in the dry season.3)A 120-meter buffer zone was identified as a critical threshold for landscape pattern changes in Changqin Lake.As the buffer zone expanded,the aggregation index(AI)and largest patch index(LPI)increased,whereas the contagion index(CONTAG),Shannon's diversity index(SHDI),and Shannon's evenness index(SHEI)decreased.The division index(DIVISION),patch density(PD),and landscape shape index(LSI)initially decreased before increasing.Beyond 120 m,landscape heterogeneity and fragmentation intensified with increasing radius.4)During the dry season,water quality parameters were correlated with construction land,dry farmland,and LPI at specific scales.In the wet season,TP and TUB were not correlated with landscape types or pattern indices,whereas TN was significantly positively correlated with roads,PD,and SHDI,and Chl-a was positively correlated with constructed land.These findings provide scientific support for the efficient monitoring and conservation of the water quality in key urban wetlands.

关键词

水质参数/无人机/多光谱/遥感反演/景观格局/相关性

Key words

water quality parameters/UAV/multispectral/remote sensing inversion/landscape pattern/correlation

分类

资源环境

引用本文复制引用

李清云,肖亦敏,林卫,雷金睿,王韫镭,孔玫蔓,杨云芳..基于无人机多光谱数据的海口长钦湖水质参数遥感反演及其与景观格局的相互关系[J].生态环境学报,2025,34(12):1930-1943,14.

基金项目

海南省自然科学基金项目(723QN275) (723QN275)

人才引进科研启动项目(2024ZX076) (2024ZX076)

海南省财政科技计划项目(jscx202024) (jscx202024)

生态环境学报

OA北大核心

1674-5906

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