Open Access
| Issue |
E3S Web Conf.
Volume 561, 2024
The 8th International Conference on Energy, Environment and Materials Science (EEMS 2024)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 8 | |
| Section | Energy System Simulation and Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202456101018 | |
| Published online | 09 August 2024 | |
- Wang Y, Cao M.K, Tao B, Li K.R.The characteristics of spatio-temporal patterns in precipitation in China under the background of global climate change[J]. Geographical Research. 2006(06) : 1031–1040+1148. (in Chinese) [Google Scholar]
- Xie P, Zhao Y.X, Sang Y.F et al. Correlation coefficient-based method for grading significance level of periodicity in hydrologic series and its verification[J]. Journal of Hydroelectric Engineering, 2018, Vol. 37, No. 12: 33–43 (in Chinese) [Google Scholar]
- Sang Y.F, Wang D. New idea and two new methods for identifying periodicity of hydrological time series [J].Advances In Water Science 2008(3) 412–417.(in Chinese) [Google Scholar]
- Wu L.Q, Xie P, Wu Z.Y, et al. Moving correlation coefficient-based method for the identification of cycleicities in hydrologic time series (in Chinese). Chin Sci Bull, 2019, 64: 2549–2560 (in Chinese) [CrossRef] [Google Scholar]
- Feng J, Qian H. Analysis of Precipitation Characteristics in Guanzhong Area[J]. Journal of North China University of Water Resources and Electric Power ( Natural Science Edition). 2015(03) :8–12+48.. (in Chinese) [Google Scholar]
- Li B, Wang L.Analysis Analysis of the spatial and temporal variation characteristics of precipitation in Guanzhong area based on precipitation concentration degree and concentration cycle[J]. Shaanxi Water Resources. 2020(02):36–41.(in Chinese) [Google Scholar]
- Zhang X.Q, Zheng Z.W, Ouyang R.L. Study on Spatio-temporal Evolution Characteristics of Regional Annual Precipitation[J]. Nature Environment and Pollution Technology,2021,20(3). [Google Scholar]
- Yang S.F. Application of periodicity mean superposition method in medium and long-term hydrological forecast of medium and small rivers[J]. Guangxi Water Resources & Hydropower Engineering 2020(1):100–103. (in Chinese) [Google Scholar]
- Yan A.L, Da L.J, Cui Y.H. Variation Diagnosis During Hydrological Processes in the Weihe River Basin[J]. YELLOW RIVER. 2015 (09):8–10. (in Chinese) [Google Scholar]
- Chen Xingtong, Wang Xiujie, Lian Jijian. Applicability Study of Hydrological Period Identification Methods: Application to Huayuankou and Lijin in the Yellow River Basin, China[J]. Water, 2021. Volume 13, Issue 9. PP 1265–1265. [CrossRef] [Google Scholar]
- Narin J, Panatcha A, Suksan S, Nipon T. Using wavelet analysis to study floods in Bangkok[J]. Journal of Physics: Conference Series, 2021,1719(1). [Google Scholar]
- Venugopal V, Foufoula-Georgiou E. Energy decomposition of rainfall in the time-frequency-scale domain using wavelet packets[J]. Journal of Hydrology, 1996, 187(12):3–27. [CrossRef] [Google Scholar]
- Box, Jenkins. Time series analysis forecasting and control. Beijing: Posts & Telecom Press,2005: 15–25. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.