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首页> 外文期刊>Chinese Journal of Oceanology and Limnology >Evaluating lake eutrophication with enhanced thematic mapper data in Wuhan
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Evaluating lake eutrophication with enhanced thematic mapper data in Wuhan

机译：利用增强的专题映射器数据评估武汉市的富营养化

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By analyzing the enhanced thematic mapper (ETM) images of September 1999, and quality observation data for many consecutive years in several parts of the Donghu Lake in Wuhan, China, the authors discovered a good linear relation between grey scale (GS) abstracted from ETM b5, b7 images and eutrophication level of the lakes, and extended the study to eight other major lakes in the area of Wuhan by using lake eutrophication models. Based on the in situ monitoring data, we also evaluated the eutrophication level of the lakes with modified trophic index method brought by M. Aizaki et al. The results of the two methods showed that the most of the lakes were eutrophicated, and even hyper-eutrophicated in some areas. Six of the 8 lakes had very similar trophic state index (TSI) values. Although two of them differed in TSI value, but within an order, while it was different largely from the one by traditional method. The difference of the results between the two methods might have been due to three causative reasons. First, remote sensing technology reflects the overall status of a certain area corresponding to the ETM images in a certain period, but the modified TSI reflects the annual average values of the monitoring spots. Second, the time the ETM images taken is later than that of in situ data. Third, ETM images are affected by clouds, water depth, and suspended matter. In short, remote sensing result agreed greatly with the in situ monitoring data, indicating that remote sensing technology is feasible and effective for monitoring and evaluating the lake eutrophication in the Wuhan area and it also can be used to evaluate large-scope lake eutrophication.
机译：通过分析1999年9月的增强主题映射器（ETM）图像以及连续多年在中国武汉东湖部分地区的质量观测数据，作者发现从ETM提取的灰度（GS）之间存在良好的线性关系。 b5，b7影像和湖泊富营养化水平，并利用湖泊富营养化模型将研究扩展到武汉地区的其他八个主要湖泊。基于原位监测数据，我们还用M. Aizaki等人提出的改进的营养指数法评估了湖泊的富营养化水平。两种方法的结果表明，大多数湖泊富营养化，在某些地区甚至富营养化。 8个湖泊中有6个的营养状态指数（TSI）值非常相似。尽管它们中的两个的TSI值不同，但是在一个顺序内，尽管它与传统方法的TSI值有很大不同。两种方法之间的结果差异可能是由于三个原因引起的。首先，遥感技术反映了一定时期内与ETM图像相对应的某个区域的总体状况，而经过修改的TSI则反映了监测点的年平均值。其次，获取ETM图像的时间要晚于原位数据的时间。第三，ETM图像受云，水深和悬浮物的影响。简而言之，遥感结果与原位监测数据高度吻合，表明遥感技术对于武汉市湖泊富营养化的监测和评价是可行和有效的，也可用于大范围湖泊富营养化的评价。

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