Articles | Volume 15, issue 8
https://doi.org/10.5194/nhess-15-1889-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-1889-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Drought assessment in the Dongliao River basin: traditional approaches vs. generalized drought assessment index based on water resources systems
B. S. Weng
CORRESPONDING AUTHOR
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
D. H. Yan
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
H. Wang
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
J. H. Liu
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
Z. Y. Yang
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
T. L. Qin
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
J. Yin
Department of Water Resources, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, 100038 Beijing, China
Related authors
No articles found.
Wangqi Lou, Xichao Gao, Joseph Hun Wei Lee, Jiahong Liu, Lirong Dong, and Kai Gao
Hydrol. Earth Syst. Sci., 30, 1625–1646, https://doi.org/10.5194/hess-30-1625-2026, https://doi.org/10.5194/hess-30-1625-2026, 2026
Short summary
Short summary
With global warming and urbanization accelerating, urban flooding is becoming more severe. Real-time forecasting plays a key role in disaster mitigation, but traditional hydrodynamic models are too resource-intensive for timely prediction. Machine learning models offer high efficiency but often lack accuracy in simulating spatiotemporal flood dynamics. This study proposes a new data-driven model, which performs well in a flood-prone area of Macao.
Keke Zhao, Denghua Yan, Tianling Qin, Chenhao Li, Dingzhi Peng, and Yifan Song
Earth Syst. Sci. Data, 17, 7251–7270, https://doi.org/10.5194/essd-17-7251-2025, https://doi.org/10.5194/essd-17-7251-2025, 2025
Short summary
Short summary
This study presents a high-quality daily weather dataset for all of China from 1961 to 2021, including air temperature, atmospheric pressure, relative humidity, and sunshine duration. It was produced using a reconstruction framework that combines thousands of ground observations with landform and elevation data. The dataset provides consistent weather information even in mountainous regions and supports studies on land surface and water processes, climate change, and environmental impacts.
Wei Jiang, Denghua Yan, Jie Liu, Qiang He, Zhiguo Pang, Yizi Shang, Ming Liu, Rong Li, and Akiyuki Kawasaki
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W14-2025, 91–96, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-91-2025, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-91-2025, 2025
Rong Li, Denghua Yan, and Wenlong Song
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W14-2025, 129–136, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-129-2025, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-129-2025, 2025
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
Short summary
Short summary
Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Baisha Weng, Zhaoyu Dong, Yuheng Yang, Denghua Yan, Mengyu Li, and Yuhang Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2022-1290, https://doi.org/10.5194/egusphere-2022-1290, 2022
Preprint archived
Short summary
Short summary
The study selected a structural equation model to construct the turnover rate of amino sugars with soil physicochemical properties and extracellular enzymes under the warming and increased precipitation scenarios. The results of this study answer the mechanism of action of warming and precipitation on the effect of soil amino sugars which will play an important scientific and technical support role in the development of plateau agriculture and carbon and nitrogen cycles.
Tongtiegang Zhao, Haoling Chen, Yu Tian, Denghua Yan, Weixin Xu, Huayang Cai, Jiabiao Wang, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 26, 4233–4249, https://doi.org/10.5194/hess-26-4233-2022, https://doi.org/10.5194/hess-26-4233-2022, 2022
Short summary
Short summary
This paper develops a novel set operations of coefficients of determination (SOCD) method to explicitly quantify the overlapping and differing information for GCM forecasts and ENSO teleconnection. Specifically, the intersection operation of the coefficient of determination derives the overlapping information for GCM forecasts and the Niño3.4 index, and then the difference operation determines the differing information in GCM forecasts (Niño3.4 index) from the Niño3.4 index (GCM forecasts).
Ying Li, Chenghao Wang, Hui Peng, Shangbin Xiao, and Denghua Yan
Hydrol. Earth Syst. Sci., 25, 4759–4772, https://doi.org/10.5194/hess-25-4759-2021, https://doi.org/10.5194/hess-25-4759-2021, 2021
Short summary
Short summary
Precipitation change in the Three Gorges Reservoir Region (TGRR) plays a critical role in the operation and regulation of the Three Gorges Dam and the protection of residents and properties. We investigated the long-term contribution of moisture sources to precipitation changes in this region with an atmospheric moisture tracking model. We found that southwestern source regions (especially the southeastern tip of the Tibetan Plateau) are the key regions that control TGRR precipitation changes.
Cited articles
Bhalme, H. N. and Mooley, D. A.: Large-scale droughts/floods and monsoon circulation, Mon. Weather Rev., 108, 1197–1211, 1980.
Blumenstock, G.: Drought in the United States Analyzed by Means of the Theory of Probability, United States Department of Agriculture, Washington, D.C., 1942.
Dai, A. G., Trenberth, K. E., and Qian, T. T.: A Global Dataset of Palmer Drought Severity Index for 1870–2002: relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 5, 1117–1130, 2004.
Dai, A. G.: Drought under global warming: a review, Climatic Change, 2, 45–65, 2011.
De Martonne, E.: Une nouvelle fonction climatologique: L'indice d'aridité, La. Meteorol., 2, 449–458, 1926.
Dracup, J. A., Lee, K. S., and Paulson, E. G.: On the definition of droughts, Water Resour. Res., 16, 297–302, 1980a.
Dracup, J. A., Lee, K. S., and Paulson, E. G.: On the statistical characteristics of drought event, Water Resour. Res., 16, 289–296, 1980b.
Federal Emergency Management Agency: National Mitigation Strategy: Partnerships for Building Safer Communities, Mitigation Directorate, Washington, D.C., 1995.
Feng, P. and Zhu, Y. S.: The identification of drought hazard, J. Nat. Disasters, 6, 41–47, 1997.
Garen, D. C.: Revised surface-water supply index for western United States, J. Water Resour. Pl. Manage., 119, 437–454, 1993.
GB/T 20481-2006: Classification of Meteorological Drought, China Standard Publishing House, Beijing, 2006.
Ghulam, A., Qin, Q. M., and Zhan, Z. M.: Designing of the perpendicular drought index, Environ. Geol., 52, 1045–1052, 2007a.
Ghulam, A., Qin, Q. M., Teyip, T., and Li, Z. L.: Modified perpendicular drought index (MPDI): a real-time drought monitoring method, ISPRS J. Photogramm., 62, 150–164, 2007b.
Ghulam, A., Li, Z. L., Qin, Q. M., Tong, Q. X., Wang, J. H., Kasimu, A., and Zhu, L.: A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index, Sci. China Ser. D, 50, 1359–1368, 2007c.
Huang, W. H., Yang, X. G., Li, M. S., Zhang, X. Y., Wang, M. T., Dai, S. W., and Ma, J. H.: Evolution characteristics of seasonal drought in the south of China during the past 58 years based on standardized precipitation index, T. Chinese Soc. Agr. Eng., 26, 50–59, 2010.
Intergovernmental Panel on Climate Change: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, Cambridge University Press, Cambridge, UK, and New York, NY, USA, 2012.
Jia, Y. and Tamai, N.: Integrated analysis of water and heat balance in Tokyo metropolis with a distributed model, J. Jpn. Soc. Hydrol. Water Resour., 11, 150–163, 1998.
Jia, Y., Ni, G., Kawahara, Y. and Suetsugi, T.: Development of WEP model and its application to an urban watershed, Hydrol. Process., 15, 2175–2194, 2001.
Jia, Y., Ni, G., Yoshitani, J., Kawahara, Y., and Kinouchi, T.: Coupling simulation of water and energy budgets and analysis of urban development impact, J. Hydrol. Eng.-ASCE, 7, 302–311, 2002.
Jia, Y., Wang, H., Wang, J., and Qin, D.: Distributed hydrologic modeling and river flow forecast for water allocation in a largescaled inland basin of Northwest China, in: Proceedings of 2nd APHW Conference, Singapore, 2, 285–292, 2004.
Jia, Y., Kinouchi, T., and Yoshitani, J.: Distributed hydrologic modeling in a partially urbanized agricultural watershed using WEP model, J. Hydrol. Eng.-ASCE, 10, 253–263, 2005.
Jia, Y., Wang, H., Zhou, Z., Qiu, Y., Luo, X., Wang, J., Yan, D., and Qin, D.: Development of the WEP-L distributed hydrological model and dynamic assessment of water resources in the Yellow River basin, J. Hydrol., 331, 606–629, 2006.
Kallis, G.: Droughts, Annu. Rev. Environ. Resour., 33, 85–118, 2008.
Keetch, J. J. and Byram, G. M.: A drought index for forest fire control, Res. Pap. SE-38, US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Asheville, NC, 1968.
Kim, H. J., Noh, S. J., Jang, C. H., Kim, D. P., and Hong, I. P.: Monitoring and analysis of hydrological cycle of the Cheonggyecheon watershed in Seoul, Korea, in: Paper C4-03, edited by: Kachitvichyanukul, V., Purintrapiban, U., and Utayopas, P., International Conference on Simulation and Modeling 2005, 17–19 January 2005, Nakornpathom, Thailand, 2005.
Kincer, J. B.: The seasonal distribution of precipitation and its frequency and intensity in the United States, Mon. Weather Rev., 47, 624–631, 1919.
Le Quesna, C., Acuna, C., Boninsegna, J. A., Rovera, A., and Barichivich, J.: Long-term glacier variations in the Central Andes of Argentina and Chile, inferred from historical records and tree-ring reconstructed precipitation, Palaeogeogr. Palaeocl., 281, 334–344, 2009.
Liu, C. M. and Wei, Z. Y.: Agricultural Hydrology and Water Resources in North China Plain, Science Press, Beijing, 1989.
Liu, W. W., An, S. Q., Liu, G. S., and Guo, A. H.: The farther modification of Palmer drought severity model, J. Appl. Meteorol. Sci., 15, 207–216, 2004.
Lu, G. H., Yan, G. X., Wu, Z. Y., and Kang, Y. X.: Regional drought analysis approach based on copula function, Adv. Water Sci., 21, 188–193, 2010.
Ma, Z. G., Hua, L. J., and Ren, X. B.: The extreme dry/wet events in northern China during recent 100 years, J. Geogr. Sci., 58, 69–74, 2003.
Marcovitch, S.: The measure of droughtiness, Mon. Weather Rev., 58, 113, 1930.
McGuire, J. K. and Palmer, W. C.: The 1957 drought in the eastern United States, Mon. Weather Rev., 85, 305–314, 1957.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, Eighth Conference on Applied Climatology, 17–22 January, Anaheim, California, 179–184, 1993.
McQuigg, J.: A simple index of drought conditions, Weatherwise, 7, 64–67, 1954.
Mo, W. H., Wang, Z. H., Sun, H., Ma, L. J., and He, L.: Remote sensing monitoring of farmland drought based on vegetation supply water index, J. Nanjing Inst. Meteorol., 29, 396–402, 2006.
Munger, T. T.: Graphic method of representing and comparing drought intensities, Mon. Weather Rev., 44, 642–643, 1916.
National Meteorological Center of CMA: Severe weather overview and its impact on agricultural production in China from 1950 to 1971, China Agriculture Press, Beijing, 1972.
Palmer, W. C.: Meteorological Drought, Weather Bureau Research Paper No. 45, Weather Bureau, Washington, D.C., 1965.
Palmer, W. C.: The abnormally dry weather of 1961–1966 in the northeastern United State, New York University Geophys. Res. Lab. Rep. TR-68-3, University Geophys. Res. Lab., New York, 32–56, 1967.
Peters, A. J., Walter-Shea, E. A., Ji, L., Vina, A., Hayes, M., and Svoboda, M. D.: Drought monitoring with NDVI-based Standardized Vegetation Index, Photogramm. Eng. Rem. S., 68, 71–76, 2002.
Qin, D. H.: Climate change and drought, Sci. Technol., 11, 7–8, 2009.
Qiu, Y., Wang, S., Jia, Y., and Wang, H.: Preliminary analysis of hydrological and water resources effects under the impacts of water and soil conservation engineering in the Fenhe river basin, J. Nat. Resour. China Soc. Nat. Resour., 21, 24–30, 2006.
Sandholt, I., Rasmussen, K., and Andersen, J.: A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status, Remote Sens. Environ., 79, 213–224, 2002.
Serinaldi, F., Bonaccorso, B., Cancelliere, A., and Grimaldi, S.: Probabilistic characterization of drought properties through copulas, Phys. Chem. Earth, 34, 596–605, 2009.
Shafer, B. A. and Dezman, L. E.: Development of a surface water supply index (SWSI) to assess the severity of drought conditions in snowpack runoff areas, Western Snow Conference, April 1982, Reno, Nevada, 164-75, 1982.
Shiau, J. T. and Modarres, R.: Copula-based drought severity-duration-frequency analysis in Iran, Meteorol. Appl., 16, 481–489, 2009.
State Flood Control and Drought Relief Headquarters: Bulletin of flood and drought disasters in China, China Ministry of Water Resources, Beijing, 2010.
United Nations International Strategy for Disaster Reduction Secretariat: Global Assessment Report on Disaster Risk Reduction, Risk and Poverty in a Changing Climate, Invest Today for a Safer Tomorrow, New York, 2009.
Wang, P. X., Li, X. W. Gong, J. Y., and Song, C. H.: Vegetation temperature condition index and its application for drought monitoring, Geosci. Remote Sens. Symp., 1, 141–143, 2001.
Wang, X. P. and Guo, N.: Some research advances and methods on drought monitoring by remote sensing, Arid Meteorol., 21, 76–79, 2003.
Weng, B. S. and Yan, D. H.: Reflections on Integrated Coping Strategies for Drought in China in Changing Environment, Chinese Hydraul. Eng., 7, 4–7, 2010.
Xu, E. H.: The normality of the annual rainfall, Acta Meteorol. Sin., 21, 17–34, 1950.
Xu, J. J., Yang, D. W., Lei, Z. D., and Huang, W.: A preliminary study on drought assessment in the Upper Yangtze, Yangtze River, 39, 1–5, 2008.
Yan, D. H., Weng, B. S., Wang, G., Wang, H., Yin, J., and Bao, S. J.: Theoretical framework of generalized watershed drought risk evaluation and adaptive strategy based on water resources system, Nat. Hazards, 73, 259–276, https://doi.org/10.1007/s11069-014-1108-5, 2014.
Yan, G. X., Lu, G. H., Wu, Z. Y., and Yang, Y.: Study on integrated meteorological drought index based on PDSI and SPI, Water Resour. Hydropower Eng., 40, 10–13, 2009.
Yuan, W. P. and Zhou, G. S.: Comparison between standardized precipitation index and Z index in China, Chinese J. Plant Ecol., 28, 523–529, 2004a.
Yuan, W. P. and Zhou, G. S.: Theoretical study and research prospect on drought indices, Adv. Earth Sci., 19, 982–991, 2004b.
Yuan, Y., Yan, D. H., Wang, H., Wang, Q., and Weng, B. S.: Quantitative assessment of drought in a lacustrine wetland based on a water balance model, Nat. Hazards, 70, 693–703, 2014.
Zhang, Q. and Gao, G.: The spatial and temporal features of drought and flood disasters in the past 50 years and monitoring and warning services in China, Sci. Technol. Rev., 7, 21–24, 2004.
Altmetrics
Final-revised paper
Preprint