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Featured researches published by Yunyun Li.


Arabian Journal of Geosciences | 2016

Assessment of precipitation and drought variability in the Weihe River Basin, China

Jianxia Chang; Yunyun Li; Yi Ren; Yimin Wang

The amount and distribution of precipitation play crucial roles in the occurrence of drought in the Weihe River Basin (WRB), China. Using the precipitation data (1960–2010) of 21 meteorological stations, the spatial and temporal characteristics of short-, medium-, and long-term droughts on 3-, 6-, and 12-month time scales, respectively, were examined using the theory of runs and the Standardized Precipitation Index (SPI). The trends of the drought characteristics were analyzed by a modified Mann-Kendall (MMK) test method. Furthermore, comparative analysis of the SPI at different time scales was conducted. The results showed that (1) the main drought type was moderate drought, which occurred frequently in July and October; (2) the drought intensity and frequency were highest in the 1990s, and the drought severity and drought duration in the northwest was more serious than that in the east; (3) an increasing trend of short droughts appeared mainly in the spring and fall; an increasing trend of medium droughts mainly occurred in the 1990s and that of long-term droughts were mainly presented in the northwest region of the WRB; (4) SPI-3 can better reflect precipitation in the current month, SPI-6 has an advantage in characterizing drought persistence, and SPI-12 performs well in capturing extraordinary droughts; and (5) it was also observed that there is a strong relation between the precipitation distribution and drought zones in the basin, and the drought conditions changed continuously with the seasons depending upon the amount and spatial distribution of precipitation .


Satellite Oceanography and Meteorology | 2018

The variation changes of the precipitation – runoff relationship

Jingjing Fan; Hongguang Zhang; Qiang Huang; Yunyun Li

The variation of the rainfall-runoff relationship t will lead to the disappearance of the consistency assumption of engineering hydrology, which will influence the planning, design, operation management and development and utilization of water resources. Therefore, the variation diagnosis of the rainfall -runoff relationship has become one of the hot topics and key issues in this area. In this study, the variation points of the precipitation-runoff relationship are defined, the difference between the variation point and the mutation point is distinguished, and the method of variation classification is proposed based on the the dimensionless mean and variation coefficients. Then, a comprehensive diagnosis system of the rainfall-runoff relationship variation is constructed on the basis of systematically summarying and analyzing of the diagnosis method of rainfall runoff relationship variation at home and abroad. Taking the Weihe River Basin as a case study, the comprehensive diagnosis system is verified by applying it to test the change point the annual runoff time series at the Huaxian hydrological station. And the results show that the comprehensive diagnosis method proposed in this paper is scientific and reasonable. Hydrological elements; Vatiation changes; Comprehensive detecting system; Weihe River basinAbstract: The variation of the rainfall-runoff relationship t will lead to the disappearance of the consistency assumption of engineering hydrology, which will influence the planning, design, operation management and development and utilization of water resources. Therefore, the variation diagnosis of the rainfall -runoff relationship has become one of the hot topics and key issues in this area. In this study, the variation points of the precipitation-runoff relationship are defined, the difference between the variation point and the mutation point is distinguished, and the method of variation classification is proposed based on the the dimensionless mean and variation coefficients. Then, a comprehensive diagnosis system of the rainfall-runoff relationship variation is constructed on the basis of systematically summarying and analyzing of the diagnosis method of rainfall runoff relationship variation at home and abroad. Taking the Weihe River Basin as a case study, the comprehensive diagnosis system is verified by applying it to test the change point the annual runoff time series at the Huaxian hydrological station. And the results show that the comprehensive diagnosis method proposed in this paper is scientific and reasonable.


Journal of Hydrology | 2016

Copula-based drought risk assessment combined with an integrated index in the Wei River Basin, China

Jianxia Chang; Yunyun Li; Yimin Wang; Meng Yuan


Energy | 2017

Efficiency Evaluation of Hydropower Station Operation: A Case Study of Longyangxia Station in the Yellow River, China

Jianxia Chang; Yunyun Li; Meng Yuan; Yimin Wang


Water | 2016

Spatiotemporal Impacts of Climate, Land Cover Change and Direct Human Activities on Runoff Variations in the Wei River Basin, China

Yunyun Li; Jianxia Chang; Yimin Wang; Wenting Jin; Aijun Guo


Journal of Hydrology | 2018

Comprehensive drought characteristics analysis based on a nonlinear multivariate drought index

Jie Yang; Jianxia Chang; Yimin Wang; Yunyun Li; Hui Hu; Yutong Chen; Qiang Huang; Jun Yao


Journal of Water and Climate Change | 2017

Hybrid method for assessing the multi-scale periodic characteristics of the precipitation–runoff relationship: a case study in the Weihe River basin, China

Aijun Guo; Jianxia Chang; Qiang Huang; Yimin Wang; Dengfeng Liu; Yunyun Li; Tian Tian


Hydrology Research | 2017

Variations in the precipitation–runoff relationship of the Weihe River Basin

Aijun Guo; Jianxia Chang; Dengfeng Liu; Yimin Wang; Qiang Huang; Yunyun Li


Environmental Earth Sciences | 2016

Dynamic changes of sediment load and water discharge in the Weihe River, China

Jianxia Chang; Yunyun Li; Jie Wei; Yimin Wang; Aijun Guo


Hydrology Research | 2018

Spatiotemporal impacts of land use land cover changes on hydrology from the mechanism perspective using SWAT model with time-varying parameters

Yunyun Li; Jianxia Chang; Lifeng Luo; Yimin Wang; Aijun Guo; Feng Ma; Jingjing Fan

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Lifeng Luo

Michigan State University

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