基于GF1_WFV的千岛湖水体叶绿素a浓度时空变化

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摘要基于高分一号（GF-1）遥感影像以及水体实测样点数据，运用波段对数组合，以千岛湖为研究对象，构建和择优了叶绿素a浓度反演模型，对2013~2019年千岛湖区域水体叶绿素a浓度值进行了估算，并利用变异系数、Mann-Kendall显著性检验模型、Theil-Sen趋势分析模型对其时空变化特征进行了分析.研究表明，基于波段对数组合的反演模型可用于千岛湖清洁水体叶绿素a浓度值的反演（R²=0.8976）；年际变化分析发现，在研究期限内，千岛湖水体叶绿素a浓度平均值维持在较低水平，近94%的水体像元叶绿素a浓度小于3.65μg/L，水质较佳；时空动态分析进一步发现，千岛湖水体叶绿素a浓度值大都经历了较为微小的波动变化，其中，有超过67%的水体像元浓度值呈现出微小的增长趋势，在分布上也呈现出一定的空间格局形态.

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	徐鹏飞
	毛峰
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关键词 ：千岛湖, 叶绿素a, 高分一号影像, 时空变化

Abstract：We established a simulating model based on the GF-1spectral reflectance features and field survey results. The model was then applied to estimate the concentration and distribution of chlorophyll-a in Qiandao lake from 2013~2019. Our model could effectively estimate the chlorophyll-a concentration in clean water (R²=0.8976). Pixel level analysis revealed that over 94% of water pixels contained less than 3.65μg/L of chlorophyll-a, indicating that the chlorophyll-a concentration of Qiandao lake was quite low during the study period. Moreover, the spatial-temporal analysis showed that the chlorophyll-a concentration in most water pixels experienced a small variation. More than 67% water regions had a slight increase.

Key words： Qiandao Lake chlorophyll-a GF-1 satellite spatial-temporal variation

收稿日期: 2020-02-12

PACS:

X524

基金资助:国家重点研发计划项目（2017YFB0503902）

通讯作者: 程乾,教授,qiancheng525@163.com E-mail: qiancheng525@163.com

作者简介: 徐鹏飞(1992-),男,陕西汉中人,浙江工商大学博士后,主要研究方向为水环境遥感监测.发表论文5篇.

引用本文:

徐鹏飞, 毛峰, 金平斌, 程乾. 基于GF1_WFV的千岛湖水体叶绿素a浓度时空变化[J]. 中国环境科学, 2020, 40(10): 4580-4588. XU Peng-fei, MAO Feng, JIN Ping-bin, CHENG Qian. Spatial-temporal variations of chlorophyll-a in Qiandao lake using GF1_WFV data. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(10): 4580-4588.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2020/V40/I10/4580

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