scholarly journals Research and application of the flood simulation and operation model in Beijing

2020 ◽  
Vol 165 ◽  
pp. 04018
Author(s):  
Fuxin Chai ◽  
Shu Liu ◽  
Yang Sun ◽  
Fenglin Huo

This study built a coupling model of hydrology and hydrodynamics for flood forecasting and reservoir-dam joint scheduling. And using HTML5, java, and WebGIS technology, developed a flood control operation system based on B/S framework for Beijing, integrated real-time information and fundamental information of metrology, rainfall, water flow, engineering situation, and waterlogging of Beijing. Through verification, the system has been successfully adopted to analyze the 2018 Ampil typhoon and provide a scientific basis for reservoirs operation including Yaoqiaoyu, Shachang, Haizi, ensuring safety of the reservoirs and reducing the economic loss of downstream area of reservoir.

10.29007/k3d3 ◽  
2018 ◽  
Author(s):  
Chai Fuxin ◽  
Liu Shu ◽  
Hu Changwei ◽  
Zhang Hongping

Assembling all the data of weather, rainfall, hydrology, engineering, water logging and other real-time information and basic information of the Beijing, the flood forecasting coupling model with hydrological and hydrodynamic method and the operation model of gate and dam are constructed. Obeying object-oriented open design concept, Beijing flood control operation system based on B/S framework is developed, using Java language and database technology, which has achieved these functions that the analysis of flood control situation, flood forecast, flood control operation, flood simulation, evaluation of regulation results and scheduling management etc. At the same time, the mobile application client is developed by using html5 technology, with the functions of flood information query, mobile patrol and dangerous case report etc. All these can provide the decision-making basis for the integrated flood control management of Beijing city.


2012 ◽  
Vol 1 (33) ◽  
pp. 6
Author(s):  
Rebeca Gomez ◽  
Rafael Molina ◽  
Alberto Camarero ◽  
Francisco De los Santos

To manage a quay it is necessary to know the level of activity that is being developed on it. This is an imperative parameter for determining the trend of terminal capacity. This allows, among other things, to improve investments previsions, a better ship waiting time management and to select what kind of ship must operate in the terminal. In Spain, Port Authorities have to apply activity fares to ships and terminal operators, based on their activity level and occupation data. In many cases there are not automated protocols to control this information, or it is directly provided by the operator. From a probabilistic focus of the problem, R.O.M. 0.0. (2001) pointed out the necessity to assume a risk in the development of port activities. This work goes toward this goal by obtaining the areas where a greater density of activity is taking place on a dock. This information allows us to establish a probability map and then, determining a risk. To this end, ship trajectories must be monitored. The trajectories condition the availability of maneuver areas on the dock, the existence of interferences between different kind of ships and they provide fundamental information for the design of mooring systems (fenders, for instance). As a product of knowing ship trajectories we can obtain ship speed and approximation angle (both are data very dependent of each quay geometry and location) and other ship parameters. The aim of this work has been to develop a video – monitoring system of port activities (Molina, R. et al. (2007)), that provides us quay use statistics and areas with greater probability of occupation (for instance, the probability of interaction between big cargo ships and leisure crafts or fishing boats). It is a real time information acquisition system, automated, low cost and able to cover extent areas. Because Port Authorities have disposal of communication infrastructures to serve security and access control, we propose to give them an additional use.


2020 ◽  
Author(s):  
Jieyu Li ◽  
Ping-an Zhong ◽  
Minzhi Yang ◽  
Qingwen Lu

<p>Real-time joint operation of multi-reservoirs is significant to flood control and management of river basin. The high dimension of joint operation model and complex decision-making environment are still the main problems. This paper develops a general framework for reducing the complexity of flood control operation by identifying effective reservoirs. First, considering the factors which influence the reservoir flood control effect, a criteria system for identifying effective reservoirs is proposed. Then, different classification models based on ensemble learning are established. In real-time operation, the intelligent identification of effective reservoirs is carried out by sensing real-time information of the temporal and spatial distribution of storm floods and the variation of reservoir flood control capacity. On this basis, a hybrid equivalent operation model is established adaptively, which consists of a joint operation model of effective reservoirs and separate operation models of noneffective reservoirs. A case study of the flood control system located in the Huaihe River basin in China indicates that: (1) the ensemble learning classification models can identify effective reservoirs according to real-time information of flood and reservoirs dynamically. (2) the flood control effect of the hybrid equivalent operation model is similar to that of the joint operation model of all reservoirs. Obviously, in real-time flood control operation, the proposed method can realize the dynamic combination of two operation modes under different flood control situations, make the best use of reservoir storage capacity and reduce the complexity of flood control operation.</p><p><strong>Key words</strong>: multi-reservoir system; real-time flood control operation; effective reservoir; ensemble learning; hybrid equivalent operation model</p>


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