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Research of reservoir watershed fine zoning and flood forecasting method

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Abstract

Flood disaster is an important threat to the safe operation of reservoirs. Accurate flood forecasting can provide important information for optimal reservoir operation. Generally, the characteristic of precipitation spatial distribution is analyzed based on observation of several discreet preset stations. This cannot catch the rainstorm center all the time and will lead to deviation in the characteristic of precipitation spatial distribution. Therefore, it can hardly arrive at optimal sub-watershed delineation and flood modeling. Therefore, a novel method is proposed for analysis of characteristic of precipitation spatial distribution in consideration of rainfall distribution and the delay of rainfall–runoff concentration. Based on the analysis results of precipitation spatial distribution, several key sub-basins which have significant impact on the flood process can be recognized. And then the elaborate sub-watershed delineation and flood modeling approach is put forward consequently on these key sub-basins. The efficacy of the proposed method is estimated on the flood forecasting of Zhexi reservoir watershed. The results verify that the proposed method can significantly improve the flood forecasting precision, which can provide important decision-making basis for reservoir operation.

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References

  • Arsenault R, Latraverse M, Duchesne T (2016) An efficient method to correct under-dispersion in ensemble stream flow prediction of inflow volumes for reservoir optimization. Water Resour Manag 30:1–18

    Article  Google Scholar 

  • Badrzadeh H, Sarukkalige R, Jayawardena AW (2015) Hourly runoff forecasting for flood risk management: application of various computational intelligence models. J Hydrol 529:1633–1643

    Article  Google Scholar 

  • Chen L, Singh VP, Guo S et al (2013) A new method for identification of flood seasons using directional statistics. Hydrol Sci J 58:1–13

    Article  Google Scholar 

  • Cheng CT, Niu WJ, Feng ZK et al (2015) Daily reservoir runoff forecasting method using artificial neural network based on quantum-behaved particle swarm optimization. Water 7:4232–4246

    Article  Google Scholar 

  • Dolcine L, Andrieu H, Sempere-Torres D et al (2015) Flash flood forecasting with coupled precipitation model in mountainous mediterranean basin. J Hydrol Eng 6:1–10

    Article  Google Scholar 

  • Duan J (1995) Overview of Zhexi reservoir hydrological forecast and operation. Cent China Electr Power 8:50–54

    Google Scholar 

  • Jiao W, Long H (2015) Applicability analysis of modified distributed hydrological model in Weihe river basin. Water Resour Power 33:22–27

    Google Scholar 

  • Kong F, Wang X (2009) A semi-distributed hydrological model based on DEM. Eng J Wuhan Univ 42:596–600

    Google Scholar 

  • Li Q, Ouyang S (2015) Research on multi-objective joint optimal flood control model for cascade reservoirs in river basin system. Nat Hazards 77:2097–2115

    Article  Google Scholar 

  • Li C, Duan J, Xiao S et al (2005) Application of digital hydrological model to the flood forecast of Zhexi hydropower station. Hydrol Auto Dam Monit 29:48–51

    Google Scholar 

  • Li H, Zhang Y, Chiew FHS et al (2009) Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index. J Hydrol 370:155–162

    Article  Google Scholar 

  • Li J, Shen B, Jie J et al (2010) Hydrological forecasting preferred and combination based on multi-attribute group decision. Syst Eng Theory Pract 30:2315–2320

    Google Scholar 

  • Liu Z, Hou A, Wang X (2015) Flood forecasting for small-and medium-sized rivers based on distributed hydrological modeling. J China Hydrol 35:1–6

    Article  Google Scholar 

  • Liu Z, Guo S, Zhang H et al (2016) Comparative study of three updating procedures for real-time flood forecasting. Water Resour Manag 30:2111–2126

    Article  Google Scholar 

  • Luo W, Yu S, Wang X et al (2006) Anti-error researching of flood forecasting project of double mutual inflow reservoir. Eng J Wuhan Univ 39:1–5

    Google Scholar 

  • Peng Y, Sun X, Zhang X et al (2017) A flood forecasting model that considers the impact of hydraulic projects by the simulations of the aggregate reservoir’s retaining and discharging. Water Resour Manag 31:1031–1045

    Article  Google Scholar 

  • Rahman M, Lu M (2015) Model spin-up behaviour for wet and dry basins: a case study using Xinanjiang model. Water 7:4256–4273

    Article  Google Scholar 

  • Shen H, Xie J, Li J et al (2012) Hydrological combined forecasting method based-on vector angular cosine. Syst Eng Theory Pract 32:1591–1597

    Google Scholar 

  • Shu D, Cheng G, Lin S (2004) Spatial discretization of digital watershed based on DEM for the upper reach of minjiang river. J Sichuan Univ (Eng Sci Edit) 36:6–11

    Google Scholar 

  • Song X, Kong F, Zhan C et al (2012) A hybrid optimization rainfall–runoff simulation based on Xinanjiang model and artificial neural network. J Hydrol Eng 17:1033–1041

    Article  Google Scholar 

  • Tang Q (2006) Application of digital hydrological model for flood-forecast in Zhexi reservoir. Hunan Electr Power 26(18–20):23

    Google Scholar 

  • Wang J, Liang Z, Jiang X et al (2016) Bayesian theory based self-adapting real-time correction model for flood forecasting. Water 8:75

    Article  Google Scholar 

  • Wu X, Liu C, Hao F et al (2004) Storm-runoff simulation of distributed hydrological model in the Yellow River basin. Adv Water Sci 15:511–516

    Google Scholar 

  • Xu X, Zhang X, Fang H et al (2017) A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach. Environ Model Softw 88:151–167

    Article  Google Scholar 

  • Yan B, Guo S, Chen L (2014) Estimation of reservoir flood control operation risks with considering inflow forecasting errors. Stoch Environ Res Risk Assess 28:359–368

    Article  Google Scholar 

  • Zhang J, Chen L, Singh VP et al (2015) Determination of the distribution of flood forecasting error. Nat Hazards 1:1389–1402

    Article  Google Scholar 

  • Zhao R, Liu X, Singh VP (1995) The Xinanjiang model. Proc Oxf Symp Hydrol Forecast IAHS Publ 135:371–381

    Google Scholar 

  • Zheng H, Wang Z, Liu C et al (2004a) GIS/RS based distributed hydrological modeling 1. Model theories and structures. Adv Water Sci 15:501–505

    Google Scholar 

  • Zheng H, Wang Z, Liu C et al (2004b) GIS/RS based distributed hydrological modeling 2. Model test and application. Adv Water Sci 15:506–510

    Google Scholar 

Download references

Acknowledgements

This work was supported by the Science and Technology Key Project of State Grid Hunan Electric Power Corporation of China (Grant No. 5216A514003Z). Special thanks are given to the anonymous reviewers and editors for their constructive comments.

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Correspondence to Jiazheng Lu or Jun Guo.

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Lu, J., Guo, J., Yang, L. et al. Research of reservoir watershed fine zoning and flood forecasting method. Nat Hazards 89, 1291–1306 (2017). https://doi.org/10.1007/s11069-017-3017-x

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