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Pan, Jianbo
- Application of Regression Analytical Method in Dynamic Prediction of River Water Quality
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Authors
Affiliations
1 North China University of Water Resources and Electric Power, Zhengzhou 450045, CN
2 Shandong Survey and Design Institute of Water Conservancy, Shandong 250013, CN
1 North China University of Water Resources and Electric Power, Zhengzhou 450045, CN
2 Shandong Survey and Design Institute of Water Conservancy, Shandong 250013, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 3 (2015), Pagination: 699-702Abstract
It is very important to accurately predict the river water quality. Prediction of river water quality has been closely watched in water resources evaluation, and is the primary work of scientific planning and management of water resources and exploitation. The accuracy of prediction will directly influence whether we can work out a reasonable plan and management measures. According to the relationship of river water quality with the influencing factors, regression method is used to predict the tendency of river water quality. The influencing factors include rainfall, sediment and runoff. This study could provide reference and guidance for further exploitation of river water.Keywords
Regression Model, River Water Quality, Prediction.- Numerical Analysis of Ammonia Nitrogen Degradation in Water with Sediment
Abstract Views :102 |
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Authors
Affiliations
1 North China University of Water Resources and Electric Power, Zhengzhou 450045, CN
2 College of Urban Construction, Hebei University of Engineering, Handan, Hebei, 056038, CN
1 North China University of Water Resources and Electric Power, Zhengzhou 450045, CN
2 College of Urban Construction, Hebei University of Engineering, Handan, Hebei, 056038, CN