Skip to main content
SpringerLink
Log in

Development of a model-based flood emergency management system in Yujiang River Basin, South China

  • Research Article
  • Published:
Frontiers of Earth Science Aims and scope Submit manuscript

Abstract

Flooding is the most frequent disaster in China. It affects people’s lives and properties, causing considerable economic loss. Flood forecast and operation of reservoirs are important in flood emergency management. Although great progress has been achieved in flood forecast and reservoir operation through using computer, network technology, and geographic information system technology in China, the prediction accuracy of models are not satisfactory due to the unavailability of real-time monitoring data. Also, real-time flood control scenario analysis is not effective in many regions and can seldom provide online decision support function. In this research, a decision support system for real-time flood forecasting in Yujiang River Basin, South China (DSS-YRB) is introduced in this paper. This system is based on hydrological and hydraulic mathematical models. The conceptual framework and detailed components of the proposed DSS-YRB is illustrated, which employs real-time rainfall data conversion, model-driven hydrologic forecasting, model calibration, data assimilation methods, and reservoir operational scenario analysis. Multi-tiered architecture offers great flexibility, portability, reusability, and reliability. The applied case study results show the development and application of a decision support system for real-time flood forecasting and operation is beneficial for flood control.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Achleitner S, Schöber J, Rinderer M, Leonhardt G, Schöberl F, Kirnbauer R, Schönlaub H (2012). Analyzing the operational performance of the hydrological models in an alpine flood forecasting system. J Hydrol (Amst), 412–413: 90–100

    Article  Google Scholar 

  • Ahmad S, Simonovic S P (2006). An intelligent decision support system for management of floods. Water Resour Manage, 20(3): 391–410

    Article  Google Scholar 

  • Blöschl G, Reszler C, Komma J (2008). A spatially distributed flash flood forecasting model. Environ Model Softw, 23(4): 464–478

    Article  Google Scholar 

  • Bocchiola D, Rosso R (2009). Use of a derived distribution approach for flood prediction in poorly gauged basins: a case study in Italy. Adv Water Resour, 32(8): 1284–1296

    Article  Google Scholar 

  • Braud I, Roux H, Anquetin S, Maubourguet M M, Manus C, Viallet P, Dartus D (2010). The use of distributed hydrological models for the Gard 2002 flash flood event: analysis of associated hydrological processes. J Hydrol (Amst), 394(1–2): 162–181

    Article  Google Scholar 

  • Cai Y P, Huang G H, Tan Q, Chen B (2011). Identification of optimal strategies for improving eco-resilience to floods in ecologically vulnerable regions of a wetland. Ecol Modell, 222(2): 360–369

    Article  Google Scholar 

  • Chen C S, Chen B P T, Chou F N F, Yang C C (2010). Development and application of a decision group Back-Propagation Neural Network for flood forecasting. J Hydrol (Amst), 385(1–4): 173–182

    Article  Google Scholar 

  • Chidthong Y, Tanaka H, Supharatid S (2009). Developing a hybrid multi-model for peak flood forecasting. Hydrol Processes, 23(12): 1725–1738

    Article  Google Scholar 

  • Cloke H L, Pappenberger F (2009). Ensemble flood forecasting: a review. J Hydrol (Amst), 375(3–4): 613–626

    Article  Google Scholar 

  • de Kort I A T, Booij M J (2007). Decision making under uncertainty in a decision support system for the Red River. Environ Model Softw, 22(2): 128–136

    Article  Google Scholar 

  • DHI (2009). Mike11-A modeling system for rivers and channels. Reference manual, DHI Software 2009, DHI Water & Environment, Horsholm, Denmark

    Google Scholar 

  • Dong C, Huang G H, Cai Y P, Xu Y (2011). An interval-parameter minimax regret programming approach for power management systems planning under uncertainty. Appl Energy, 88(8): 2835–2845

    Article  Google Scholar 

  • Dottori F, Todini E (2011). Developments of a flood inundation model based on the cellular automata approach: testing different methods to improve model performance. Phys Chem Earth, 36(7–8): 266–280

    Article  Google Scholar 

  • Easterling D R, Evans J L, Groisman P Y, Karl T R, Kunkel K E, Ambenje P (2000). Observed variability and trends in severe weather climate events: a brief review. Bull Am Meteorol Soc, 81(3): 417–425

    Article  Google Scholar 

  • Feng L H, Lu J (2010). The practical research on flood forecasting based on artificial neural networks. Expert Syst Appl, 37(4): 2974–2977

    Article  Google Scholar 

  • Feng S, Li L X, Duan Z G, Zhang J L (2007). Assessing the impacts of South-to-North Water Transfer Project with decision support systems. Decis Support Syst, 42(4): 1989–2003

    Article  Google Scholar 

  • Grigg N (1996). Water Resources Management: Principles, Regulations, and Cases. New York: McGraw-Hill

    Google Scholar 

  • Grimaldi S, Petroselli A, Arcangeletti E, Nardi F (2013). Flood mapping in ungauged basins using fully continuous hydrologic-hydraulic modeling. J Hydrol (Amst), 487: 39–47

    Article  Google Scholar 

  • Guo T, Yu H, Luo J (2010). The development and research of water management information system based on Web GIS. Environmental science and management, 35(9):173–178 (in Chinese)

    Google Scholar 

  • Jarosław J N, Tomasz D (2004). Decision Support System for flood control in trans-boundary Nysa Klodzka catchment, Integrated Water Management of Transboundary Catchment—A Contribution from TRANSCAT, Conference Proceedings, Venice, Italy

    Google Scholar 

  • Jasper K, Gurtz J, Lang H (2002). Advanced flood forecasting in Alpine watersheds by coupling meteorological observations and forecasts with a distributed hydrological model. J Hydrol (Amst), 267(1–2): 40–52

    Article  Google Scholar 

  • Krzhizhanovskaya V V, Shirshov G S, Melnikova N B (2011). Flood early warning system: design, implementation and computational modules, International Conference on Computational Science, ICCS 2011, Procedia Computer Science, 4:106–115

    Article  Google Scholar 

  • Levy J K (2005). Multiple criteria decision making and decision support systems for flood risk management. Stochastic Environ Res Risk Assess, 19(6): 438–447

    Article  Google Scholar 

  • Li X Y, Chau K W, Cheng C T, Li Y S (2006). A Web-based flood forecasting system for Shuangpai region. Adv Eng Softw, 37(3): 146–158

    Article  Google Scholar 

  • Lin C A, Wen L, Lu G, Wu Z, Zhang J, Yang Y, Zhu Y, Tong L (2010). Real-time forecast of the 2005 and 2007 summer severe floods in the Huaihe River Basin of China. J Hydrol (Amst), 381(1–2): 33–41

    Article  Google Scholar 

  • Liu Y, Huang G H, Cai Y P, Cheng G H, Niu Y T, An K (2009). Development of an inexact optimization model for coupled coal and power management in North China. Energy Policy, 37(11): 4345–4363

    Article  Google Scholar 

  • Loucks D P, van Beek E, Stedinger J R (2005). Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, UNESCO, Paris

    Google Scholar 

  • Martin P H, LeBoeuf E J, Dobbins J P, Daniel E B, Abkowitz M D (2005). Interfacing GIS with water resource models: a state-of-the-art review. J Am Water Resour Assoc, 41(6): 1471–1487

    Article  Google Scholar 

  • Moore R J, Bell VA, Jones D A (2005). Forecasting for flood warning. C R Geosci, 337(1–2): 203–217

    Article  Google Scholar 

  • Plate E J (2007). Early warning and flood forecasting for large rivers with the lower Mekong as example. J Hydro-environment Res, 1(2): 80–94

    Article  Google Scholar 

  • Qi H, Altinakar M S (2011). A GIS-based decision support system for integrated flood management under uncertainty with two dimensional numerical simulations. Environ Model Softw, 26(6): 817–821

    Article  Google Scholar 

  • Ramlal B, Baban S M J (2008). Developing a GIS based integrated approach to flood management in Trinidad, West Indies. J Environ Manage, 88(4): 1131–1140

    Article  Google Scholar 

  • Rozalis S, Morin E, Yair Y, Price C (2010). Flash flood prediction using an uncalibrated hydrological model and radar rainfall data in a Mediterranean watershed under changing hydrological conditions. J Hydrol (Amst), 394(1–2): 245–255

    Article  Google Scholar 

  • Sheng D, He X, Liu H (2004). Study on water resources management information system of Manasi River Basin. Journal of Water Resources & Water Engineering, 15(1): 8–12 (in Chinese)

    Google Scholar 

  • Shim K C, Fontane D G, Labadie J W (2002). Spatial decision support system for integrated river basin flood control. J Water Resour Plan Manage, 128(3): 190–201

    Article  Google Scholar 

  • Simonovic S P, Ahmad S (2005). Computer-based model for flood evacuation emergency planning. Nat Hazards, 34(1): 25–51

    Article  Google Scholar 

  • Su W, Zhang X, Wang Z, Su X, Huang J, Yang S, Liu S (2011). Analyzing disaster-forming environments and the spatial distribution of flood disasters and snow disasters that occurred in China from 1949 to 2000. Math Comput Model, 54(3–4): 1069–1078

    Article  Google Scholar 

  • Tan Q, Huang G H, Cai Y P (2010a). A superiority-inferiority-based inexact fuzzy stochastic programming approach for solid waste management under uncertainty. Environ Model Assess, 15(5): 381–396

    Article  Google Scholar 

  • Tan Q, Huang G H, Cai Y P (2010b). Radial-interval linear programming for environmental management under varied protection levels. J Air Waste Manag Assoc, 60(9): 1078–1093

    Article  Google Scholar 

  • The Ministry of Water Resources of the People’s Republic of China (1999). 1998 Flood in China, Beijing: China Water Power Press (in Chinese)

    Google Scholar 

  • Tian J, Wang Y, Li H, Li L, Wang K (2007). DSS development and applications in China. Decis Support Syst, 42(4): 2060–2077

    Article  Google Scholar 

  • Todini E (1999). An operational decision support system for food risk mapping, forecasting and management. Urban Water, 1(2): 131–143

    Article  Google Scholar 

  • Toth E, Brath A, Montanari A (2000). Comparison of short-term rainfall prediction models for real-time flood forecasting. J Hydrol (Amst), 239(1–4): 132–147

    Article  Google Scholar 

  • World Meteorological Organization (2004). Integrated Flood Management. The Associated Programme on Flood Management, APFM Technical Document No.1

    Google Scholar 

  • Xi Y (1990). The architecture of a DSS for Three Gorges Project, Scientific Decision with System Engineering, Beijing: Science and Technology Press of China (in Chinese)

    Google Scholar 

  • Yang W, Nan J, Sun D (2008). An online water quality monitoring and management system developed for the Liming River basin in Daqing, China. J Environ Manage, 88(2): 318–325

    Article  Google Scholar 

  • Zeng Y, Cai Y, Huang G, Dai J (2011). A review on optimization modeling of energy systems planning and ghg emission mitigation under uncertainty. Energies, 4(12): 1624–1656

    Article  Google Scholar 

  • Zeng Y, Cai Y, Jia P, Jee H (2012). Development of a web-based decision support system for supporting integrated water resources management in Daegu city, South Korea. Expert Syst Appl, 39(11): 10091–10102

    Article  Google Scholar 

  • Zhao Y, Min Y, Pederson C B (2005). Provision of a real-time inflow forecasting system tailored for the optimization and operation of Three Gorges Dam, China. International Conference on Reservoir Operation and River Management, Three Gorges, China

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Petroleum Resource and Prospecting, College of Geosciences, China Petroleum University, Beijing, 102249, China

    Yong Zeng

  2. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China

    Yanpeng Cai & Jiansu Mao

  3. Institute for Energy, Environment and Sustainability Communities, University of Regina, Regina, Sask, S4S 7H9, Canada

    Yanpeng Cai

  4. Appraisal Center for Environment and Engineering, Ministry of Environmental Protection, Beijing, 100012, China

    Peng Jia

Authors
  1. Yong Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yanpeng Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peng Jia
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jiansu Mao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yanpeng Cai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zeng, Y., Cai, Y., Jia, P. et al. Development of a model-based flood emergency management system in Yujiang River Basin, South China. Front. Earth Sci. 8, 231–241 (2014). https://doi.org/10.1007/s11707-013-0393-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11707-013-0393-8

Keywords

Search

Navigation