Landsat数据在解析太湖水体溶解性有机碳影响机制中的应用  

Application of Landsat data in analyzing the influence mechanism of dissolved organic carbon in Taihu Lake

作　　者：韩增磊 肖敏 王中良[2] HAN Zeng-lei;XIAO Min;WANG Zhong-liang(College of Geographic and Environmental Sciences,Tianjin Normal University,Tianjin 300387,China;Key Laboratory of Water Resources and Environment,Tianjin Normal University,Tianjin 300387,China)

机构地区：[1]天津师范大学地理与环境科学学院,天津300387 [2]天津师范大学水资源与水环境重点实验室,天津300387

出　　处：《生态学杂志》2020年第7期2446-2455,共10页Chinese Journal of Ecology

基　　金：国家自然科学基金项目(41373138);天津师范大学引进人才项目(5KGCC18002);天津市研究生科研创新项目(2019YJSS123)资助。

摘　　要：流域水体溶解性有机碳是碳循环的重要组成部分。本研究以太湖流域气象数据、遥感反演参数和2015年5月的一期Landsat-8 OLI_TIRS卫星数字影像为基础,分析Landsat水质模型反演数据和太湖水体溶解性有机质(DOM)各参数的相关性,阐明湖水DOM来源及不同来源DOM特性。结果表明:以Landsat红光波段、近红外波段和蓝光波段为基础反演的叶绿素a浓度、蓝藻密度、透明度和浊度等水质参数和遥感水质监测中归一化悬浮物指数均与太湖水体DOC浓度分布一致,且DOM主要为内生源;依据Landsat影像对太湖子流域进行土地利用监督分类,表明流域土地利用/覆被方式是影响类蛋白物质含量、芳香度等的重要因素。研究证实,遥感反演是获取水体有机质信息的重要数据来源,可靠性强并能够表征DOM来源、性质及影响程度,是理解环境碳循环的重要技术手段,也为太湖流域的碳库计算、水体生态风险评价、流域生态环境变化等监测提供了参考。Dissolved organic carbon is an important component of carbon cycle in basin waters.Based on the meteorological data,remote sensing inversion parameters,and Landsat-8 OLI_TIRS satellite digital image in May 2015,we analyzed the correlations between the inversion data of the Landsat water quality model and the parameters of the dissolved organic matter(DOM)in Taihu Lake and clarified the DOM sources and its characteristics.The results showed that water quality parameters(including chlorophyll-a concentration,blue-green algae density,water transparency and turbidity calculated using inversion algorithm based on red,near-infrared and blue bands from the Landsat image)and the normalized suspended matter index were all consistent with the abundance distribution of DOC in Taihu Lake,with DOM as the main autochthonous.Based on the Landsat image,we conducted land-use supervision classification in Taihu sub-basins.The results showed that land use/cover of the basin were important factors affecting characteristics including protein-like substance content and aromaticity.Our results confirmed that remote sensing inversion is an important tool for obtaining data of organic matter in waters.This technique provides feasible way for tracing the sources and characterizing the properties of DOM,as well as showing the influencing degree on DOM with high reliability.It would be an important technology for understanding environmental carbon cycle,and sets a reference for calculation of carbon pool,assessment of water ecological risk,and monitoring of environmental change in the basin.

关 键 词：遥感反演 溶解性有机质 水质模型 碳循环 生态环境变化 

分 类 号：X524[环境科学与工程—环境工程]