Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China
Shupeng Yue
Key Laboratory of Groundwater Resources and Environment (Jilin
University), Ministry of Education, Changchun 130021, China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, China
Xiaodan Sheng
Municipal and Environment Engineering School, Shenyang Jianzhu University, Shenyang 110170, China
Dahuofang Reservoir Authority of Liaoning Province Liability Company, Fushun 113006, China
Fengtian Yang
CORRESPONDING AUTHOR
Key Laboratory of Groundwater Resources and Environment (Jilin
University), Ministry of Education, Changchun 130021, China
Jilin Provincial Key Laboratory of Water Resources and Environment,
Jilin University, Changchun 130021, China
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Cited
15 citations as recorded by crossref.
- Trigger thresholds and their dynamics of vegetation production loss under different atmospheric and soil drought conditions C. Wang et al. 10.1016/j.scitotenv.2024.175116
- Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
- The negative-positive feedback transition thresholds of meteorological drought in response to agricultural drought and their dynamics X. Wei et al. 10.1016/j.scitotenv.2023.167817
- Quantifying multidimensional drought propagation risks under climate change: A vine-copula Bayesian factorial analysis method H. Wang et al. 10.1016/j.jhydrol.2024.131396
- Diagnosis of the Evolutionary Characteristics and Variability of Meteorological Drought in the Yellow River Basin Y. Wen et al. 10.1051/e3sconf/202453602017
- Drought trigger thresholds for different levels of vegetation loss in China and their dynamics W. Guo et al. 10.1016/j.agrformet.2023.109349
- Hydrochemical characteristics and driving factors of travertine deposition in Huanglong, Sichuan, SW, China W. Gao et al. 10.2166/wst.2023.048
- Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China Y. Wen et al. 10.1080/19475705.2024.2373114
- Preface: Recent advances in drought and water scarcity monitoring, modelling, and forecasting B. Bonaccorso et al. 10.5194/nhess-22-1857-2022
- Diverse vegetation response to meteorological drought from propagation perspective using event matching method Q. Zhao et al. 10.1016/j.jhydrol.2025.132776
- Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought H. Wang et al. 10.1360/nso/20230022
- A Modified Two-Parameter Monthly Water Balance Model for Runoff Simulation to Assess Hydrological Drought X. Hong et al. 10.3390/w14223715
- From meteorological to hydrological drought: a case study using standardized indices in the Nakanbe River Basin, Burkina Faso T. Fowé et al. 10.1007/s11069-023-06194-5
- Deciphering the influence of climate change and human activities on the drought propagation W. Zhao et al. 10.1016/j.ejrh.2024.101654
- Linkages between Meteorological and Hydrological Drought in the Jinsha River Basin under a Changing Environment L. Zhang et al. 10.3390/w15203644
15 citations as recorded by crossref.
- Trigger thresholds and their dynamics of vegetation production loss under different atmospheric and soil drought conditions C. Wang et al. 10.1016/j.scitotenv.2024.175116
- Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
- The negative-positive feedback transition thresholds of meteorological drought in response to agricultural drought and their dynamics X. Wei et al. 10.1016/j.scitotenv.2023.167817
- Quantifying multidimensional drought propagation risks under climate change: A vine-copula Bayesian factorial analysis method H. Wang et al. 10.1016/j.jhydrol.2024.131396
- Diagnosis of the Evolutionary Characteristics and Variability of Meteorological Drought in the Yellow River Basin Y. Wen et al. 10.1051/e3sconf/202453602017
- Drought trigger thresholds for different levels of vegetation loss in China and their dynamics W. Guo et al. 10.1016/j.agrformet.2023.109349
- Hydrochemical characteristics and driving factors of travertine deposition in Huanglong, Sichuan, SW, China W. Gao et al. 10.2166/wst.2023.048
- Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China Y. Wen et al. 10.1080/19475705.2024.2373114
- Preface: Recent advances in drought and water scarcity monitoring, modelling, and forecasting B. Bonaccorso et al. 10.5194/nhess-22-1857-2022
- Diverse vegetation response to meteorological drought from propagation perspective using event matching method Q. Zhao et al. 10.1016/j.jhydrol.2025.132776
- Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought H. Wang et al. 10.1360/nso/20230022
- A Modified Two-Parameter Monthly Water Balance Model for Runoff Simulation to Assess Hydrological Drought X. Hong et al. 10.3390/w14223715
- From meteorological to hydrological drought: a case study using standardized indices in the Nakanbe River Basin, Burkina Faso T. Fowé et al. 10.1007/s11069-023-06194-5
- Deciphering the influence of climate change and human activities on the drought propagation W. Zhao et al. 10.1016/j.ejrh.2024.101654
- Linkages between Meteorological and Hydrological Drought in the Jinsha River Basin under a Changing Environment L. Zhang et al. 10.3390/w15203644
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To develop drought assessment and early warning systems, it is necessary to explore the characteristics of drought and its propagation process. In this article, a generalized and efficient drought research framework is studied and verified. It includes the evaluation of the spatiotemporal evolution, the construction of the return period calculation model, and the quantitative analysis of the meteorological trigger conditions of drought based on an improved Bayesian network model.
To develop drought assessment and early warning systems, it is necessary to explore the...
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