首页 | 本学科首页   官方微博 | 高级检索  
     

Prediction of chlorophyll a concentration using HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir
作者姓名:Dong-xing  FAN  Yu-ling  HUANG  Lin-xu  SONG  De-fu  LIU  Ge  ZHANG  Biao  ZHANG
基金项目:This work was supported by the National Natural Science Foundation of China (Grants No. 51009080 and 51179095) and the Research Innovation Fund for Postgraduates in China Three Gorges University (Grant No 2012CX012).
摘    要:Since the impoundment of the Three Gorges Reservoir in 2003, algal blooms have frequently been observed in it. The chlorophyll a concentration is an important parameter for evaluating algal blooms. In this study, the chlorophyll a concentration in Xiangxi Bay, in the Three Gorges Reservoir, was predicted using HJ-1 satellite imagery. Several models were established based on a correlation analysis between in situ measurements of the chlorophyll a concentration and the values obtained from satellite images of the study area from January 2010 to December 2011. Chlorophyll a concentrations in Xiangxi Bay were predicted based on the established models. The results show that the maximum correlation is between the reflectance of the band combination of B4/(B2+B3) and in situ measurements of chlorophyll a concentration. The root mean square errors of the predicted values using the linear and quadratic models are 18.49 mg/m3 and 18.52 mg/m3, respectively, and the average relative errors are 37.79% and 36.79%, respectively. The results provide a reference for water bloom prediction in typical tributaries of the Three Gorges Reservoir and contribute to large-scale remote sensing monitoring and water quality management.

关 键 词:叶绿素a浓度  三峡库区  卫星图像  预测值  香溪河  库湾  平均相对误差  二次模型
收稿时间:14 August 2012

Prediction of chlorophyll a concentration using H J-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir
Dong-xing FAN Yu-ling HUANG Lin-xu SONG De-fu LIU Ge ZHANG Biao ZHANG.Prediction of chlorophyll a concentration using H J-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir[J].Water Science and Engineering,2014,7(1):70-80.
Authors:Dong-xing FAN  Yu-ling HUANG  Lin-xu SONG  De-fu LIU  Ge ZHANG  Biao ZHANG
Affiliation:[1]College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, P. R. China [2]College of Resources and Environment Sciences, Hubei University of Technology, Wuhan 430068, P. R. China
Abstract:Since the impoundment of the Three Gorges Reservoir in 2003, algal blooms have frequently been observed in it. The chlorophyll a concentration is an important parameter for evaluating algal blooms. In this study, the chlorophyll a concentration in Xiangxi Bay, in the Three Gorges Reservoir, was predicted using HJ-1 satellite imagery. Several models were established based on a correlation analysis between in situ measurements of the chlorophyll a concentration and the values obtained from satellite images of the study area from January 2010 to December 2011. Chlorophyll a concentrations in Xiangxi Bay were predicted based on the established models. The results show that the maximum correlation is between the reflectance of the band combination of B4/(B2+B3) and in situ measurements of chlorophyll a concentration. The root mean square errors of the predicted values using the linear and quadratic models are 18.49 mg/m3 and 18.52 mg/m3, respectively, and the average relative errors are 37.79% and 36.79%, respectively. The results provide a reference for water bloom prediction in typical tributaries of the Three Gorges Reservoir and contribute to large-scale remote sensing monitoring and water quality management.
Keywords:chlorophyll a concentration  H J-1 satellite  remote sensing prediction  correlation analysis  Xiangxi Bay  Three Gorges Reservoir
本文献已被 CNKI 维普 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号