论文
论文题目: Copula-based non-stationarity identification of watershed water and energy dependency structure and possible driving forces
第一作者: Jiang Jianhua, Huang Shengzhi, Huang Qiang, Ren Kang etc.
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发表年度: 2022
摘  要: Watershed water-energy balance plays an important role in affecting ecological environment dynamics. The stationarity of watershed water and energy dependency structure is likely to be invalid in a changing environ-ment, which may influence the feasibility of the Budyko hypothesis extensively applied in the hydrological domain. However, little attention has been paid to the identification of their non-stationarity and possible driving forces. To this end, the Copula-based likelihood ratio (CLR) method was employed to identify the non-stationarity of precipitation (P) and potential evaporation (PET) dependency structure. Additionally, meteoro-logical and teleconnection factors were used to explore the dominant driving forces of the dependency structure dynamics. The Wei River Basin belonging to the Yellow River Basin was selected as a case study. Results showed that: (1) change points are observed in the P-PET dependency structure in the southeast region of the Wei River Basin, indicating that the stationarity of their dependency structure is invalid in a changing environment; (2) in terms of meteorological factors, the substantially decreasing wind speed and increasing temperature are the dominant driving forces of the P-PET dependency structure dynamics; (3) in terms of teleconnection factors, Pacific Decadal Oscillation strongly affects the P-PET dependency structure dynamics generally through exerting effects on temperature and relative humidity, whereas other teleconnection factors such as Arctic Oscillation, El Nino-Southern Oscillation, and sunspot exhibit weak impacts. These findings could shed important insights into water-energy balance dynamics in a changing environment
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刊物名称: ATMOSPHERIC RESEARCH
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论文类别: SCI