Next Article in Journal
Urban Hydroinformatics: Past, Present and Future
Next Article in Special Issue
Stochastic Model for Drought Forecasting in the Southern Taiwan Basin
Previous Article in Journal
A Numerical Simulator for Modeling the Coupling Processes of Subsurface Fluid Flow and Reactive Transport Processes in Fractured Carbonate Rocks
Previous Article in Special Issue
Analysis of Drought-Sensitive Areas and Evolution Patterns through Statistical Simulations of the Indian Ocean Dipole Mode
Article

Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China

School of Civil Engineering, Anhui Polytechnic University, Wuhu 241000, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(10), 1958; https://doi.org/10.3390/w11101958
Received: 8 August 2019 / Revised: 17 September 2019 / Accepted: 18 September 2019 / Published: 20 September 2019
This study conducted quantitative diagnosis on the impact of climate change and human activities on drought risk. Taking the Kuye river basin (KRB) in China as the research area, we used variation point diagnosis, simulation of precipitation and runoff, drought risk assessment, and attribution quantification. The results show that: (1) the annual runoff sequence of KRB changed significantly after 1979, which was consistent with the introduction of large-scale coal mining; (2) under the same drought recurrence period, the drought duration and severity in the human activity stage were significantly worse than in the natural and simulation stages, indicating that human activities changed the drought risk in this area; and (3) human activities had little impact on drought severity in the short duration and low recurrence period, but had a greater impact in the long duration and high recurrence period. These results provide scientific guidance for the management, prevention, and resistance of drought; and guarantee sustainable economic and social development in the KRB. View Full-Text
Keywords: drought risk; climate change; human activities; quantitative attribution; artificial neural network drought risk; climate change; human activities; quantitative attribution; artificial neural network
Show Figures

Figure 1

MDPI and ACS Style

Zhang, M.; Wang, J.; Zhou, R. Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China. Water 2019, 11, 1958. https://doi.org/10.3390/w11101958

AMA Style

Zhang M, Wang J, Zhou R. Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China. Water. 2019; 11(10):1958. https://doi.org/10.3390/w11101958

Chicago/Turabian Style

Zhang, Ming, Jinpeng Wang, and Runjuan Zhou. 2019. "Attribution Analysis of Hydrological Drought Risk Under Climate Change and Human Activities: A Case Study on Kuye River Basin in China" Water 11, no. 10: 1958. https://doi.org/10.3390/w11101958

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop