人民长江 ›› 2021, Vol. 52 ›› Issue (9): 24-31.doi: 10.16232/j.cnki.1001-4179.2021.09.005

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基于GF-1卫星数据的洱海干季水质时空变化监测

祁兰兰,王金亮,农兰萍,刘钱威   

  • 发布日期:2021-10-27

Temporal and spatial monitoring on water quality of Erhai Lake in dry season based on GF-1 satellite data

QI Lanlan, WANG Jinliang, NONG Lanping, LIU Qianwei   

  • Published:2021-10-27

摘要: 为探究2014~2019年洱海干季水质变化规律及其驱动因子,选用2014~2019年1月和11月GF-1号卫星遥感影像资料,以叶绿素a浓度、透明度、富营养化指数这3个指标为研究标的开展洱海水质反演。结果表明:(1)时间上,2014~2019年洱海叶绿素a浓度和富营养化指数逐年降低,透明度逐渐增加,洱海干季水质呈好转趋势。(2)空间上,洱海2014~2019年11月份整体上呈现叶绿素a浓度和富营养化指数北部低、南部高,透明度北部高、南部低,北部水质较好,南部水质偏差的趋势;1月份整体上呈现叶绿素a浓度中部较高,南、北部偏低,北部水质较好,透明度由北向南递减,富营养化指数由北向南增加的趋势。(3)洱海叶绿素a浓度和富营养化指数均与水体总氮、总磷含量呈显著正相关关系(P<0.05),水体透明度与总氮、总磷含量呈显著负相关关系。

关键词: 水质监测; 时空变化; 叶绿素a浓度; 透明度; 富营养化指数; GF-1卫星影像; 洱海;

Abstract: In order to explore the variation law of water quality and its driving factors of Erhai Lake in dry season from 2014 to 2019,GF-1 remote sensing image data of January and November form 2014 to 2019 were selected to invert the water quality of Erhai Lake based on chlorophyll-a concentration and transparency and eutrophication index.The results showed that:(1) In terms of time scale, the chlorophyll-a concentration and eutrophication index of Erhai Lake decreased year by year from 2014 to 2019,the transparency increased gradually, and the water quality was gradually improved in dry season.(2) In terms of spatial scale, chlorophyll-a concentration and eutrophication index of Erhai Lake in November from 2014 to 2019 were lower in the north and higher in the south, while transparency was higher in the north and lower in the south, demonstrating that water quality was better in the north and worse in the south.And the chlorophyll-a concentration in January was higher in the central part and lower in the south and north, and the water quality was better in the north, while the transparency decreased from north to south and the eutrophication index increased from north to south.(3) The chlorophyll-a concentration and eutrophication index of Erhai lake were significantly positively correlated with total nitrogen and total phosphorus(P<0.05),while the water transparency was significantly negatively correlated with total nitrogen and total phosphorus.

Key words: water quality monitoring; temporal and spatial variation; chlorophyll-a concentration; transparency; eutrophication index; GF-1 remote sensing image; Erhai Lake;