摘要
透明度是评估湖泊水质的重要参数,监测湖泊透明度长期时空变化有助于了解水体水质与富营养化状态,为维护生态安全和进行湖泊管理和生态修复提供支撑。本数据集以MODIS Terra卫星影像为原始数据,去除云等干扰因素对透明度的影响,计算了水体透明度(即塞氏盘深度,Secchi disk depth,SDD),获得呼伦湖2000–2019年透明度的时间序列数据。经验证,数据集的决定系数0.8,均方根误差21.27 cm,满足监测需求。本数据集预期能够为呼伦湖长时序尺度的水环境遥感监测和环境治理提供数据支撑。
Water clarity is a significant parameter for evaluating the water quality of lakes.Monitoring the long-term temporal and spatial changes of water clarity of lakes can provides valuable insights for evaluating water quality and eutrophication status of water bodies,as well as guiding lake environmental management and ecological restoration.With MODIS Terra satellite images,we excluded the influence of cloud cover and other interference factors to evaluate the water clarity(i.e.Secchi disk depth),and finally produced a dataset of water clarity of Hulun Lake from 2000 to 2019.It has been validated that the coefficient of determination of the dataset is 0.8,and the root mean squared error is 21.27cm,indicating its accuracy in meeting the monitoring requirements.This data set is expected to serve as a valuable resource for remote sensing-based water quality monitoring and environmental governance of Hulun Lake at a scale of long time series.
作者
吴弈秋
许金朵
王贞
马荣华
WU YiQiu;XU JinDuo;WANG Zhen;MA Ronghua(School of Geographical Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,P.R.China;Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China;Nanjing,University of Chinese Academy of Sciences,Nanjing 211135,P.R.China;Lakes-Watershed Science Data Center,National Earth System Science Data Center,Nanjing 210008,P.R.China;Collaborative Innovation Center for Grassland Ecological Security(Jointly Supported by the Ministry of Education of China and Inner Mongolia Autonomous Region),Hohhot 010021,P.R.China)
基金
中国科学院“十四五”网络安全和信息化专项(CAS-WX2022SDCSJ05,CAS-WX2021SF-0306)。
关键词
透明度
呼伦湖
MODIS
环境管理
长时序
water clarity
Hulun Lake
MODIS
environment management
long time series
