摘要
为了解密云水库水体营养状态的空间分布特点及规律,防止水体向富营养化状态发展,该文利用IRS-P6卫星影像对密云水库水质进行监测。探讨了利用IRS-P6遥感数据定量反演密云水库Chla浓度的方法,借助半经验回归模型进行密云水库水体Chla浓度提取。在此基础上利用修正卡尔森指数法评价密云水库水体富营养化程度,并给出了密云水库水体不同营养状态空间分布图。2005年11月的监测结果表明,密云水库水体营养状态整体处于中营养化水平,东库区水体富营养化程度高于西库区。
In order to know the spatial-distribution characteristics and rules of water trophic states and to prevent water eutrophication in Miyun reservoir in Beijing,the water quality was monitored by remote sensing images of IRS-P6 satellite.The quantitative inversion of water Chla concentration in Miyun reservoir by using IRS-P6 remote sensing data was discussed.The Chla concentration in Miyun reservoir was extracted using semi-empirical regression model.Based on the regression model,the eutrophication of Miyun reservoir was evaluated by modified Carlson index,and the spatial-distribution map of different water trophic states in Miyun reservoir was obtained.The monitoring results showed that Miyun reservoir was in the mesotrophic state as a whole in November,2005,with the degree of water eutrophication in eastern reservoir area being serious than that in western reservoir areas.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第S2期13-17,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家973(2007CB714401)
北京市自然基金重点项目(4061002)资助
关键词
遥感
IRS-P6影像
监测
密云水库
水质
叶绿素A
富营养化
remote sensing
IRS-P6 image
monitoring
Miyun reservoir
wanter quality
Chla concentration
eutrophication