Abstract

The water diversion project in the east of Zhejiang Province is a major water resource allocation project, it to ensure the sustainable development of economy and society in the boat area of xiaoshaoning in the east of Zhejiang Province. The task of the project is to introduce Qiantang River water to provide living, industrial and agricultural irrigation water for xiaoshaoning plain and Zhoushan City, and it also can improve this place’s water environment. The rainfall in the water source area of the water diversion project in eastern Zhejiang directly affects the water consumption in this area. In order to ensure the safety of the water diversion project in eastern Zhejiang, it is very important to make a scientific plan for the water diversion project and predict the rainfall in the water source area of the project. Wavelet analysis is a good method of multi-time series and multi-scale analysis. Firstly, this paper decomposes the annual rainfall series of wenjiayan rainfall station, which can represent the water source of eastern Zhejiang Province.Then, it uses wavelet de-noising technology to remove the noise of the decomposed high-frequency series, Next it uses wavelet reconstruction and ANFIS model to simulate and predict the reconstructed series, from which it can calculate the forecast value of the future rainfall. By analyzing the rainfall frequency of wenjiayan rainfall station in the future, this paper provides a reference for the water diversion project in the east of Zhejiang Province.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.