Design Of Risk Management System Of Dahuangpu Detention Basin

Depended on the seriously scarcity and unbalanced distribution of China water resource, the development of drainage area-crossed distribution is vitally issued. Aqueduct, which can transport the water from aqua derivation to the destination, plays an important role in this distributing process. The automatically control of aqueduct system roundly improves the distribution progress and the water transportation efficiency. Indeed it can optimize the schedule and the amount during the water support and avoid both water deficiency and waste to save the finance budget. Among varied linear Controller, PID is one of the most commonly used.Companied with the booming of the gigantic water transportation, the standard of efficiency and reliably of the PID controller becomes severer due to the gradually complicated aqueduct system. In order to improving the limitation of the traditional PID and increasing the integral control ability of the channel system , the modern intelligence control technique should be lead in, then make tne automatic control turned toward the high accuracy, high performance and intelligence develops. Fuzzy control which includes the fuzzy inference and control technique uses fuzzy set and fuzzy concept to descript the dynamic behaviour and accord fuzzy set and fuzzy logic to make control decision. It can be adequately used in sloving complex control problems, and supplies new idea and path in modern automatic control field.The canal water diversion system is the study object in this paper, the PID control axiom and the theory of fuzzy control are lead in canal operation system to make dynamic numbered analog simulation,and study unsteady flow characteristics of the canal operation system.in different control theory and different methods of operation. The primary conclusion can be summarized as followings:(1) The parameters of the traditional PID are constant, and introduce the Ziegle-Nichols rule and gives the digital numerical simulation to the difference methods of operation (upstream normal water level, downstream normal water level, isometrical operation) of single channel system, and present a improved Ziegle-Nichols rule.(2) Introduce the basic function of fuzzy control and the utilize of fuzzy logic tool in the simulation software Matlab.(3) In order to getting better control effect, so combining the fuzzy logic too and the traditional PID control to optimize the efficiency. Manage the self-integral PID control based on the fuzzy identification to analyze the three progresses and the advantage of the fuzzy control theory.(4) Multireach channel system has a lot of input and output variable, so building a integral fuzzy control system is impossible. Using the analytic fuzzy system in the emulation calculation of the multireach channel system and analyse the merits and drawback of the control system.In recent years, the new idea for flood control and disaster mitigation is to manage flood disaster risk, adjust the relationship between water and human beings, and change from"flood defense"to"flood management". Being a non-engineering measure for flood-control, the aim of flood risk management is to stipulate the people's behavior of flood prevention and development in the flood risk area, and mitigate the effects caused by flood disaster as well.Flood risk map, one of the important measures of flood risk management, has great significance not only in plan making, engineering construction, scheduling decision making and rescue arrangement of flood control, but in stipulating land development and management, strengthening the power of water administration development and enhancing national awareness of flood control and disaster mitigation. Compared with the construction of flood control projects, the research on flood risk map is slow in our country. As a result, with the concept transition from"flood defense"to"flood management", it is important and imperative to carry out the research of flood risk map.With the rapid development of computer technology and the concept transition from"flood defense"to"flood management", more and more emphasis were laid on non-engineering measures, such as information system. In this paper, the application of information system in risk management of flood detention basin was studied, and the main contents are as follows,1. Research on risk map compiling of flood detention basin. Flood risk map was charted based on"compilation guideline of flood risk map"authorized by Ministry of Water Resources. Being the type of"risk map of flood detention basin", the risk map mainly includes water level chart of flood detention, chart of flooding depth, velocity profile, chart of flood area, loss distribution chart, risk zoning map, hydrograph of characteristic points, flood diversion volume and hydrograph.2. Information system development of risk management for flood detention basin. In this paper, database of flood detention basin was established, including the flowing three basic information database, engineering information, social economy and integrated information, in which, the integrated information database covers the aspects of management institutions, laws and regulations, flood control and rescue, contingency plan for flood control and flood scheduling. Special electronic map database for Dahuangpu was established by ArcInfo of ESRI, with the scale of 1:10000, meanwhile, the maintenance system was constricted to realize real-time update.The information management system for Dahuangpu flood detention basin was constructed, and the main characteristics are as follows, a) realized flexible and quick functions of query, search and statistics for all kinds of basic information; b) realized condition setting & calculation for 2D flood routing model, evaluation model of flood disaster loss and evaluation model of risk, and also possessed analysis and comparison functions, including results analysis, dynamic display of flood routing, hydrograph analysis of characteristic points, analysis of water level and flow rate of flood diversion gates, process analysis of flooding, water storage and loss for every flood diversion sub-area, integrated information and comparison of different plans; c) established the module of plan design; d) established the model of transfer and retreat; e) established the model of routine management.