Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Feb 2018
Research article |
| 01 Feb 2018
Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China
Javier Fluixá-Sanmartín
CORRESPONDING AUTHOR
Centre de Recherche sur l'Environnement Alpin (CREALP), 1951 Sion,
Switzerland
Deng Pan
Changjiang River Scientific Research Institute, Changjiang Water
Resources Commission, Wuhan Hubei, 430010, China
Luzia Fischer
GEOTEST AG, 3052 Zollikofen, Switzerland
Boris Orlowsky
climate-babel, 8047 Zurich, Switzerland
Javier García-Hernández
Centre de Recherche sur l'Environnement Alpin (CREALP), 1951 Sion,
Switzerland
Frédéric Jordan
Hydrique Ingénieurs, 1052 Le Mont-sur-Lausanne, Switzerland
Christoph Haemmig
GEOTEST AG, 3052 Zollikofen, Switzerland
Fangwei Zhang
Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan
Hubei, 430017, China
Jijun Xu
Changjiang River Scientific Research Institute, Changjiang Water
Resources Commission, Wuhan Hubei, 430010, China
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20 citations as recorded by crossref.
- Drought Estimation-and-Projection Using Standardized Supply-Demand-Water Index and Artificial Neural Networks for Upper Tana River Basin in Kenya R. Wambua 10.4018/IJAGR.2019100102
- Deep hybridnet for drought prediction based on large-scale climate indices and local meteorological conditions W. Wan & Y. Zhou 10.1007/s00477-024-02826-9
- Sensitivity of SPI to Distribution Functions and Correlation Between its Values at Different Time Scales in Central Africa G. Guenang et al. 10.1007/s41748-019-00102-3
- Technological Drought: Acknowledging a New Category of Agricultural Water Shortage M. Mondol et al. 10.2139/ssrn.4092474
- Climatological spatial scales of meteorological droughts in China and associated climate variability H. Zhou et al. 10.1016/j.jhydrol.2022.129056
- Drought characterization in the Mae Klong River Basin, Thailand, using Standardized Precipitation Index A. Khalil 10.1007/s12517-020-05546-w
- Effectiveness of Drought Indices in the Assessment of Different Types of Droughts, Managing and Mitigating Their Effects J. Ndayiragije & F. Li 10.3390/cli10090125
- Technological drought: a new category of water scarcity M. Haque Mondol et al. 10.1016/j.jenvman.2022.115917
- Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China D. Zhang et al. 10.1155/2020/3268923
- Estimating the Aquifer’s Renewable Water to Mitigate the Challenges of Upcoming Megadrought Events A. Mianabadi et al. 10.1007/s11269-021-02980-7
- Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis A. Anshuka et al. 10.1007/s11069-019-03665-6
- An Approach to Tracking Meteorological Drought Migration H. Zhou et al. 10.1029/2018WR023311
- Meteorological Drought Migration in the Poyang Lake Basin, China: Switching among Different Climate Modes H. Zhou et al. 10.1175/JHM-D-19-0183.1
- Using the Global Navigation Satellite System and Precipitation Data to Establish the Propagation Characteristics of Meteorological and Hydrological Drought in Yunnan, China H. Zhu et al. 10.1029/2022WR033126
- Evaluation of the similarity between drought indices by correlation analysis and Cohen's Kappa test in a Mediterranean area L. Vergni et al. 10.1007/s11069-021-04775-w
- Drought monitoring and early warning in China: a review of research to pave the way for operational systems L. Barker et al. 10.5194/piahs-383-273-2020
- On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes O. Baez-Villanueva et al. 10.5194/hess-28-1415-2024
- Space-time characterization of droughts in the Mae Klong River Basin, Thailand, using rainfall anomaly index A. Khalil 10.2166/ws.2022.306
- Assessment of Two Drought Indices to Quantify and Characterize Drought Incidents: A Case Study of the Northern Part of Burundi J. Ndayiragije et al. 10.3390/atmos13111882
- Spatiotemporal Variation and Drivers of Drought Based on TVDI in the Lower Reaches of the Jinsha River C. Guojian et al. 10.5814/j.issn.1674-764x.2024.01.004
20 citations as recorded by crossref.
- Drought Estimation-and-Projection Using Standardized Supply-Demand-Water Index and Artificial Neural Networks for Upper Tana River Basin in Kenya R. Wambua 10.4018/IJAGR.2019100102
- Deep hybridnet for drought prediction based on large-scale climate indices and local meteorological conditions W. Wan & Y. Zhou 10.1007/s00477-024-02826-9
- Sensitivity of SPI to Distribution Functions and Correlation Between its Values at Different Time Scales in Central Africa G. Guenang et al. 10.1007/s41748-019-00102-3
- Technological Drought: Acknowledging a New Category of Agricultural Water Shortage M. Mondol et al. 10.2139/ssrn.4092474
- Climatological spatial scales of meteorological droughts in China and associated climate variability H. Zhou et al. 10.1016/j.jhydrol.2022.129056
- Drought characterization in the Mae Klong River Basin, Thailand, using Standardized Precipitation Index A. Khalil 10.1007/s12517-020-05546-w
- Effectiveness of Drought Indices in the Assessment of Different Types of Droughts, Managing and Mitigating Their Effects J. Ndayiragije & F. Li 10.3390/cli10090125
- Technological drought: a new category of water scarcity M. Haque Mondol et al. 10.1016/j.jenvman.2022.115917
- Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China D. Zhang et al. 10.1155/2020/3268923
- Estimating the Aquifer’s Renewable Water to Mitigate the Challenges of Upcoming Megadrought Events A. Mianabadi et al. 10.1007/s11269-021-02980-7
- Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis A. Anshuka et al. 10.1007/s11069-019-03665-6
- An Approach to Tracking Meteorological Drought Migration H. Zhou et al. 10.1029/2018WR023311
- Meteorological Drought Migration in the Poyang Lake Basin, China: Switching among Different Climate Modes H. Zhou et al. 10.1175/JHM-D-19-0183.1
- Using the Global Navigation Satellite System and Precipitation Data to Establish the Propagation Characteristics of Meteorological and Hydrological Drought in Yunnan, China H. Zhu et al. 10.1029/2022WR033126
- Evaluation of the similarity between drought indices by correlation analysis and Cohen's Kappa test in a Mediterranean area L. Vergni et al. 10.1007/s11069-021-04775-w
- Drought monitoring and early warning in China: a review of research to pave the way for operational systems L. Barker et al. 10.5194/piahs-383-273-2020
- On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes O. Baez-Villanueva et al. 10.5194/hess-28-1415-2024
- Space-time characterization of droughts in the Mae Klong River Basin, Thailand, using rainfall anomaly index A. Khalil 10.2166/ws.2022.306
- Assessment of Two Drought Indices to Quantify and Characterize Drought Incidents: A Case Study of the Northern Part of Burundi J. Ndayiragije et al. 10.3390/atmos13111882
- Spatiotemporal Variation and Drivers of Drought Based on TVDI in the Lower Reaches of the Jinsha River C. Guojian et al. 10.5814/j.issn.1674-764x.2024.01.004
Latest update: 22 Nov 2024
Short summary
In China, droughts represent a severe threat to socioeconomic development and ecosystems. It is thus necessary to characterize these events in order to reduce and anticipate their impacts. This study proposes an innovative approach for a catchment-wide drought detection and characterization. Two overall drought indicators have been defined and calibrated with real historical events, which have been collected and cataloged.
In China, droughts represent a severe threat to socioeconomic development and ecosystems. It is...
