Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3479-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3479-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GTDI: a game-theory-based integrated drought index implying hazard-causing and hazard-bearing impact change
Xiaowei Zhao
School of Water and Environment, Chang'an University, Xi'an 710054, China
Tianzeng Yang
School of Water and Environment, Chang'an University, Xi'an 710054, China
Hongbo Zhang
CORRESPONDING AUTHOR
School of Water and Environment, Chang'an University, Xi'an 710054, China
Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an 710054, China
Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions, Ministry of Water Resources, Chang'an University, Xi'an 710054, China
Tian Lan
School of Water and Environment, Chang'an University, Xi'an 710054, China
Chaowei Xue
School of Water and Environment, Chang'an University, Xi'an 710054, China
Tongfang Li
School of Water and Environment, Chang'an University, Xi'an 710054, China
Zhaoxia Ye
School of Water and Environment, Chang'an University, Xi'an 710054, China
Zhifang Yang
School of Water and Environment, Chang'an University, Xi'an 710054, China
Yurou Zhang
School of Water and Environment, Chang'an University, Xi'an 710054, China
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Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 29, 903–924, https://doi.org/10.5194/hess-29-903-2025, https://doi.org/10.5194/hess-29-903-2025, 2025
Short summary
Short summary
This study develops an integrated framework based on the novel Driving index for changes in Precipitation–Runoff Relationships (DPRR) to explore the controlling changes in precipitation–runoff relationships in non-stationary environments. According to the quantitative results of the candidate driving factors, the possible process explanations for changes in the precipitation–runoff relationships are deduced. The main contribution offers a comprehensive understanding of hydrological processes.
Tian Lan, Xiao Wang, Hongbo Zhang, Xinghui Gong, Xue Xie, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-384, https://doi.org/10.5194/hess-2024-384, 2025
Preprint under review for HESS
Short summary
Short summary
Hydrological models are vital for water management but often fail to predict water flow in dynamic catchments due to model simplification. This study tackles it by developing an optimized calibration framework that considers dynamic catchment characteristics. To overcome potential difficulties, multiple schemes were tested on over 200 U.S. catchments. The results enhanced our understanding of simulation in dynamic catchments and provided a practical solution for improving future forecasting.
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Short summary
To effectively track and identify droughts, we developed a novel integrated drought index that combines the effects of precipitation, temperature, and soil moisture on drought. After comparison and verification, the integrated drought index shows superior performance compared to a single meteorological drought index or agricultural drought index in terms of drought identification.
To effectively track and identify droughts, we developed a novel integrated drought index that...
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