AI Article Synopsis
- The study utilized geographic information systems and geostatistics, along with fuzzy mathematics and the analytic hierarchy process, to evaluate water eutrophication in Taihu Lake.
- Researchers identified key evaluation indices: total phosphorus, total nitrogen, chlorophyll a, COD, BOD5, dissolved oxygen (DO), and water transparency, and conducted geostatistical analyses to estimate their values across the entire lake area.
- The findings indicated that the northern and north-western regions of the lake are highly eutrophic, while the middle region exhibits meso-eutrophic levels, and the southeastern area is the least affected, classified as mesotrophic.
Article Abstract
Supported by geographic information system and geostatistics, the application of fuzzy mathematics and analytic hierarchy process for water eutrophication evaluation was discussed. Taking Taihu Lake as an example, the research selected total phosphorus, total nitrogen, chlorophyll a, COD, BOD5, DO and transparence as evaluation index. After geostatistical analysis of the datum of monitoring site, the values of evaluation indices were estimated in the whole research area. Given that, the different dependence functions were developed for these indices and the function values were calculated. Furthermore, according to the principle of analytic hierarchy process, the weight of every index was calculated, then integrated evaluation value was obtained for the whole research area and the evaluation map for water eutrophication was drawn. The result shows that the level of nutrition is the highest in the north and north-west of lake, which is hypertrophic, that is meso-eutrophic in the middle and that is the lowest in the south-east of lake, which is mesotrophic.
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