首页|基于Sentinel-2影像的漳泽水库浮游藻类时空变化分析

基于Sentinel-2影像的漳泽水库浮游藻类时空变化分析

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基于漳泽水库Sentinel-2影像、浮游藻类及水质监测数据,采用归一化植被指数(NDVI)法分析了2018-2022年库区藻类动态变化,研究了影响藻类时空变化的环境因素.结果表明,将水文、水质数据与NDVI相结合,可有效反映库区藻类时空变化.漳泽水库浮游藻类优势属在2018-2020年与2021-2022年存在明显差异,藻类生物量和藻细胞密度分别在2019、2022年达到峰值.近5a库区藻类生物量年内变化相似,大致可分为"三降三升"6个阶段.库区藻类生物量年内变化与水力扰动密切相关,同时受水温和营养盐等因素影响.
Spatiotemporal Changes of Planktonic Algae in Zhangze Reservoir from 2018 to 2022 Based on Sentinel-2 Images
Based on Normalized Difference Vegetation Index(NDVI),the dynamic changes of algae in Zhangze Reservoir from March to November during 2018-2022 were investigated in order to understand the spatiotemporal variation of algae.In addition,combined with the measured plankton algae and water quality data of Zhangze Reservoir,the environmental factors affecting the temporal and spatial changes of algae were analyzed.The results show that combining NDVI with hydrological and water quality data can effectively reflect the spatial and temporal variation of algae in Zhangze reservoir.The dominant genera of plankton algae in Zhangze Reservoir showed significant differences between 2018-2020 and 2021-2022.Algal biomass and algal cell density peaked in 2019 and 2022,respectively.The annual spatiotemporal variation of algae biomass in the reservoir during 2018-2022 was similar,which could be basically divided into six stages of"three down and three up".The annual variation of algae biomass in Zhangze Reservoir is closely related to flood season hydraulic disturbance,and affected by many factors such as temperature and nutrient salt.

NDVIplanktonic algaeSentinel-2spatiotemporal variationZhangze Reservoir

刘娜、任焕莲、闵雅欣、霍新生

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山西省水文水资源勘测总站,山西 太原 030001

长治市水文水资源勘测站,山西 长治 046000

太原理工大学,山西 太原 030024

NDVI 浮游藻类 Sentinel-2 时空变化 漳泽水库

2024

海河水利
水利部海河水利委员会

海河水利

影响因子:0.21
ISSN:1004-7328
年,卷(期):2024.(10)