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Dive into the research topics where Jingwen Wu is active.

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Featured researches published by Jingwen Wu.


Science of The Total Environment | 2016

Functional degradation of the water-sediment regulation scheme in the lower Yellow River: Spatial and temporal analyses.

Chiyuan Miao; Dongxian Kong; Jingwen Wu; Qingyun Duan

Heavy sedimentation has led to the phenomenon of a secondary perched river in the lower reaches of the Yellow River. The water-sediment regulation scheme (WSRS) using the Xiaolangdi Reservoir was first implemented in 2002 to try to solve this problem. In this study, we analyzed the spatial and temporal effects of the current WSRS (2005-2013) on the lower Yellow River. Our results suggest that the current WSRS is exhibiting a tendency towards functional degradation, meaning that the scheme is no longer as effective as it was initially for the lower Yellow River. Although the main river channel has been fully scoured in the lower reaches since the implementation of the WSRS, we found that the degree of erosion declined gradually in a top-down fashion from the braided reach, through the transitional reach, to the meandering reach. Of the total eroded sediment, 69.64% came from the braided reach and only 6.61% came from the meandering reach. In addition, the reduction in riverbed elevation-a key function of the WSRS-has clearly slowed since 2005. We discuss the mechanisms underlying this functional degradation of the current WSRS and future challenges for the management of the lower Yellow River. Insights gained from this study will likely be of use to those weighing up options for future implementations of the WSRS.


Science of The Total Environment | 2017

Detecting the quantitative hydrological response to changes in climate and human activities

Jingwen Wu; Chiyuan Miao; Xiaoming Zhang; Tiantian Yang; Qingyun Duan

Understanding the relative contributions of climate change and human activities to changes in runoff is important for sustainable management of regional water resources. In this study, we systematically review ten commonly used quantitative methods drawn from three main categories-empirical statistics, elasticity-based methods, and hydrological modeling. We explain the calculation processes for the different methods and summarize their applications and characteristics. Then, using the Yanhe River basin as a case study, we employ all ten methods to separate out the effects of climate change and human activities on changes in runoff. The results show that climate change played a dominant role in the decline in runoff in the Yanhe River basin. Climate change was estimated to account for 46.1%-60.8% (mean 54.1%) of the total decrease in runoff, whereas human activities accounted for 39.1%-53.9% (mean 45.9%). Elasticity-based methods and hydrological modeling produced similar estimates, but the estimates made using empirical statistics were different. Empirical statistics were not a suitable method for the Yanhe River basin. We also discuss the factors that influence the different methods and the applicable conditions for each methodological category.


Environmental Science and Pollution Research | 2017

Environmental impact assessments of the Xiaolangdi Reservoir on the most hyperconcentrated laden river, Yellow River, China

Dongxian Kong; Chiyuan Miao; Jingwen Wu; Alistair Borthwick; Qingyun Duan; Xiaoming Zhang

The Yellow River is the most hyperconcentrated sediment-laden river in the world. Throughout recorded history, the Lower Yellow River (LYR) experienced many catastrophic flood and drought events. To regulate the LYR, a reservoir was constructed at Xiaolangdi that became operational in the early 2000s. An annual water–sediment regulation scheme (WSRS) was then implemented, aimed at flood control, sediment reduction, regulated water supply, and power generation. This study examines the eco-environmental and socioenvironmental impacts of Xiaolangdi Reservoir. In retrospect, it is found that the reservoir construction phase incurred huge financial cost and required large-scale human resettlement. Subsequent reservoir operations affected the local geological environment, downstream riverbed erosion, evolution of the Yellow River delta, water quality, and aquatic biodiversity. Lessons from the impact assessment of the Xiaolangdi Reservoir are summarized as follows: (1) The construction of large reservoirs is not merely an engineering challenge but must also be viewed in terms of resource exploitation, environmental protection, and social development; (2) long-term systems for monitoring large reservoirs should be established, and decision makers involved at national policy and planning levels must be prepared to react quickly to the changing impact of large reservoirs; and (3) the key to solving sedimentation in the LYR is not Xiaolangdi Reservoir but instead soil conservation in the middle reaches of the Yellow River basin. Proper assessment of the impacts of large reservoirs will help promote development strategies that enhance the long-term sustainability of dam projects.


Journal of Hydrology | 2017

Contribution analysis of the long-term changes in seasonal runoff on the Loess Plateau, China, using eight Budyko-based methods

Jingwen Wu; Chiyuan Miao; Yamei Wang; Qingyun Duan; Xiaoming Zhang


Ecological Engineering | 2016

Impact assessment of climate change and human activities on net runoff in the Yellow River Basin from 1951 to 2012

Dongxian Kong; Chiyuan Miao; Jingwen Wu; Qingyun Duan


Ecological Engineering | 2015

The hydro-environmental response on the lower Yellow River to the water–sediment regulation scheme

Dongxian Kong; Chiyuan Miao; Jingwen Wu; Qingyun Duan; Qiaohong Sun; Aizhong Ye; Zhenhua Di; Wei Gong


Global and Planetary Change | 2015

Bi-objective analysis of water–sediment regulation for channel scouring and delta maintenance: A study of the lower Yellow River

Dongxian Kong; Chiyuan Miao; Jingwen Wu; Lin Jiang; Qingyun Duan


Hydrology Research | 2017

Modeling streamflow and sediment responses to climate change and human activities in the Yanhe River, China

Jingwen Wu; Chiyuan Miao; Tiantian Yang; Qingyun Duan; Xiaoming Zhang


Global and Planetary Change | 2018

A nonparametric standardized runoff index for characterizing hydrological drought on the Loess Plateau, China

Jingwen Wu; Chiyuan Miao; Xu Tang; Qingyun Duan; Xiaojia He


Journal of Geophysical Research | 2018

Meteorological and hydrological drought on the Loess Plateau, China: Evolutionary characteristics, impact, and propagation

Jingwen Wu; Chiyuan Miao; Haiyan Zheng; Qingyun Duan; Xiaohui Lei; Hu Li

Collaboration


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Chiyuan Miao

Beijing Normal University

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Qingyun Duan

Beijing Normal University

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Dongxian Kong

Beijing Normal University

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Tiantian Yang

University of California

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Aizhong Ye

Beijing Normal University

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Haiyan Zheng

Beijing Normal University

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Lin Jiang

Beijing Normal University

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Qiaohong Sun

Beijing Normal University

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Wei Gong

Beijing Normal University

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Xu Tang

Beijing Normal University

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