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Titlebook: Eutrophication in the Baltic Sea; Present Situation, N Lars H?kanson,Andreas C. Bryhn Book 2008 Springer-Verlag Berlin Heidelberg 2008 Aqua

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樓主: Recovery
21#
發(fā)表于 2025-3-25 05:37:53 | 只看該作者
22#
發(fā)表于 2025-3-25 10:40:45 | 只看該作者
23#
發(fā)表于 2025-3-25 14:29:16 | 只看該作者
Haisong Wang,Xiaoyu Gong,Jingwei Gong spatial scales and for all types of aquatic systems and for all types of substances. The quantification of water fluxes and retention rates are fundamental in mass-balances for nutrients (eutrophication) and this has been clear since Vollenweider presented the first loading models for phosphorus in lakes in 1968 (Vollenweider, 1968).
24#
發(fā)表于 2025-3-25 17:07:09 | 只看該作者
25#
發(fā)表于 2025-3-25 21:30:56 | 只看該作者
Water Exchange and Water Transport in the Baltic Sea, spatial scales and for all types of aquatic systems and for all types of substances. The quantification of water fluxes and retention rates are fundamental in mass-balances for nutrients (eutrophication) and this has been clear since Vollenweider presented the first loading models for phosphorus in lakes in 1968 (Vollenweider, 1968).
26#
發(fā)表于 2025-3-26 03:48:29 | 只看該作者
27#
發(fā)表于 2025-3-26 06:08:22 | 只看該作者
28#
發(fā)表于 2025-3-26 11:59:03 | 只看該作者
Basic Information on the Baltic Sea,eutrophication in the Baltic Sea (nutrient concentrations, chlorophyll-a concentrations and Secchi depths) and trend analyses to see if therehave been any changes in these variables in the Baltic Sea.
29#
發(fā)表于 2025-3-26 15:07:24 | 只看該作者
30#
發(fā)表于 2025-3-26 18:45:41 | 只看該作者
Rating Prediction of Tourist Destinations Based on Supervised Machine Learning Algorithms,chine learning algorithms such as Decision Tree Regression, Linear Regression, Random Forest and Support Vector Machine and maximum accuracy (74.58%) obtained in both the case of Random Forest and Support Vector Machine.
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