Zhengjun Wang, Jianming Hong, Guisen Du
College of Life Sciences, Capital Normal University, Beijing 100037, China.
Environ Pollut. 2008 Sep;155(1):13-9. doi: 10.1016/j.envpol.2007.11.003. Epub 2007 Dec 21.
The objective of this research is to explore an appropriate way of monitoring and assessing water quality by satellite remote sensing techniques in the Miyun reservoir of Beijing, China. Two scene Thematic Mapper images in May and October of 2003 were acquired and simultaneous in situ measurements, sampling and analysis were conducted. Statistical analysis indicates that satellite-based normalized ratio vegetation index (NRVI) and in situ measured water chlorophyll a (Chl-a) concentration have very high correlation. Two linear regression models with high determination coefficients were constructed for NRVI and Chl-a of sample points. According to the modified trophic state index map, water quality in the western section of Miyun reservoir was consistently higher than in the eastern section during the two months tested. The trophic grade of the eastern reservoir remained mesotrophic with a tendency for eutrophication.
本研究的目的是探索一种利用卫星遥感技术监测和评估中国北京密云水库水质的合适方法。获取了2003年5月和10月的两幅专题制图仪图像,并同时进行了现场测量、采样和分析。统计分析表明,基于卫星的归一化植被指数(NRVI)与现场测量的水体叶绿素a(Chl-a)浓度具有很高的相关性。针对采样点的NRVI和Chl-a构建了两个决定系数较高的线性回归模型。根据修正的营养状态指数图,在测试的两个月中,密云水库西段的水质一直高于东段。水库东段的营养等级仍为中营养,并有富营养化趋势。