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环境科学学报 2010
Optimization of river water quality monitoring sections
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Abstract:
River sections chosen for water quality monitoring should be able to cover the temporal and spatial variation of water quality. Statistical methods can reveal the similarities of adjacent sections of the existing water quality monitoring sections. A water quality model is able to calculate the water quality of any cross-section along a river. In this study, a numerical model is combined with a statistical method and applied to optimize the monitoring scheme of a river. First, the data collected from 15 monitoring stations were used to set up the 1-dimensional water quality model. The calibrated model was then applied to simulate the water quality of 94 cross-sections along the river. Finally, the statistical method is introduced to group the cross-sections, taking the original 15 stations as reference. The results showed that 2 of the 15 stations can be removed, and 2 stations should be added in other places. Through field investigation, it was found that the changes to the monitoring scheme were reasonable and practical.