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An Analysis Method of Water Quality Influencing Factors Based on Wavelet Transform

Published: 18 August 2021 Publication History

Abstract

Morlet wavelet time-frequency correlation analysis is used to conduct empirical research on the relationship between water quality influencing factors. This method can analyze structural changes in the time domain as well as short-term, mid-term and long-term correlations in the frequency domain. The research results show that there is a highly significant correlation between dissolved oxygen content and turbidity in the water body in the long-term, and the water body has long-term or short-term pollution. Finally, this article believes that the research method of water quality influencing factors based on wavelet transform, as a new auxiliary method of water environment management, can provide help to managers.

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  • (2023)Spatiotemporal Patterns of Ammonia Nitrogen and Chemical Oxygen Demand in the Huaihe River–Hongze Lake System (Eastern China)Water10.3390/w1512215715:12(2157)Online publication date: 7-Jun-2023

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cover image ACM Other conferences
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 August 2021

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  • (2023)Spatiotemporal Patterns of Ammonia Nitrogen and Chemical Oxygen Demand in the Huaihe River–Hongze Lake System (Eastern China)Water10.3390/w1512215715:12(2157)Online publication date: 7-Jun-2023

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