A WebGIS-based system for rainfall-runoff prediction and real-time water resources assessment for Beijing

被引:46
|
作者
Jia, Yangwen [1 ]
Zhao, Hongli [1 ]
Niu, Cunwen [1 ]
Jiang, Yunzhong [1 ]
Gan, Hong [1 ]
Xing, Zhi [1 ]
Zhao, Xueli [2 ]
Zhao, Zhixin [2 ]
机构
[1] Inst Water Resources & Hydropower Res IWHR, Dept Water Resources, Beijing 100044, Peoples R China
[2] Bur Beijing Water Affairs, Gen Stn Hydrol, Beijing 100040, Peoples R China
关键词
WebGIS; Distributed hydrologic model; Rainfall-runoff prediction; Real-time water resources assessment; Beijing;
D O I
10.1016/j.cageo.2008.10.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A WebGIS-based system designed to predict rainfall-runoff and assess real-time water resources for Beijing was developed to provide support for scientific decision making regarding solving water shortages while effectively reducing urban flood threats in the city. The system adopts a Browse Server (B/S) structure and combines the distributed hydrologic modeling and WebGIS techniques. For this system, a distributed hydrologic model of Beijing that adopts a grid cell-size of 1 km by I km and covers the city's entire area of 16,400 km(2) was developed and validated. This model employs a simple, yet practical rainfall-runoff correlation curve method to predict runoff, as well as prediction approaches for rainfall, evaporation, subsurface runoff and recharge to groundwater. In addition, a framework for the assessment of real-time water resources assessment based on hydrologic monitoring stations and the distributed model was established. Finally, a WebGIS-based system for rainfall-runoff prediction and real-time water resources assessment for Beijing was developed by integrating a data platform, the professional models and the WebGIS techniques. This system was successfully integrated into the hydrologic prediction practices of the General Station of Hydrology, Bureau of Beijing Water Affairs in 2005, and the demonstration version of the system can be seen on the Web at http://123.127.143.23/enewRF/login/login.aspx?ReturnUrl=%2fenewRF%2ftemp.aspx. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1517 / 1528
页数:12
相关论文
共 50 条
  • [31] Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites
    Jiang, Hanchen
    Lin, Peng
    Fan, Qixiang
    Qiang, Maoshan
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [32] Real-Time Water Level Prediction Based on Artificial Neural Networks
    Simon, Berkhahn
    Insa, Neuweiler
    Lothar, Fuchs
    NEW TRENDS IN URBAN DRAINAGE MODELLING, UDM 2018, 2019, : 603 - 607
  • [33] Short-term forecasting of urban storm water runoff in real-time using extrapolated radar rainfall data
    Thorndahl, S.
    Rasmussen, M. R.
    JOURNAL OF HYDROINFORMATICS, 2013, 15 (03) : 897 - 912
  • [34] A knowledge based real-time travel time prediction system for urban network
    Lee, Wei-Hsun
    Tseng, Shian-Shyong
    Tsai, Sheng-Han
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 4239 - 4247
  • [35] Comprehensive approach for prediction and assessment of power system transient stability in real-time
    Echeverria, Diego E.
    Rueda, Jose L.
    Cepeda, Jaime C.
    Colome, Delia G.
    Erlich, Istvan
    2013 4TH IEEE/PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE), 2013,
  • [36] Demonstration of Stormwater Management Technology by Short-Term Rainfall Prediction and Real-Time Runoff Analysis System Using Small X-Band Radar
    Matsuoka, Ryo
    Oki, Shinichiro
    JOURNAL OF DISASTER RESEARCH, 2021, 16 (03) : 403 - 409
  • [37] Real-time Estimated Time of Arrival prediction system based on historical surveillance data
    Munoz, Andres
    Scarlatti, David
    Costas, Pablo
    2019 45TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2019), 2019, : 174 - 177
  • [38] Runoff error correction in real-time flood forecasting based on dynamic system response curve
    Si, Wei
    Bao, Weimin
    Qu, Simin
    Si, W. (lindongsisi@163.com), 2013, International Research and Training Center on Erosion and Sedimentation and China Water and Power Press (24): : 497 - 503
  • [39] Real-Time Fall Risk Assessment System Based on Acceleration Data
    Sansrimahachai, Watsawe
    Toahchoodee, Manachai
    Piakaew, Rattanapol
    Vijitphu, Teerapath
    Jeenboonmee, Supussara
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ORANGE TECHNOLOGIES (ICOT), 2017, : 33 - 36
  • [40] Performance assessment and uncertainty prediction of a daily time-step HBV-Light rainfall-runoff model for the Upper Benue River Basin, Northern Cameroon
    Nonki, Rodric M.
    Lenouo, Andre
    Tshimanga, Raphael M.
    Donfack, Francine C.
    Tchawoua, Clement
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2021, 36