Research On Dividing Districts And Optimization Technology Of Water Supply Network Of Mountainous Urban

The accomplishment of this paper is concerned with particular water network optimization project of new district in some mountainous city. It is well known that the water supply network of mountainous urban is distinct from that of plain urban. Firstly, sharp elevation disparity exists in water supply network of mountainous urban and water resources, which leads to a tremendous power cost in water supply network and higher pressure in low elevation areas. And sometimes high pressure results in pipeline explosion. Secondly, because of influence from mountainous landform condition, water supply network extend a large-scale distance, and it is difficult to form ringed network in mountainous area, which means water network of mountainous urban has a low reliability. Finally, in comparison with plain area's network, both construction cost and running expense in mountainous city is larger. From the point of view of water supply enterprise, it is important to make an economic, reasonable and high efficiency water supply network design, which will improve benefit and competitive capability of water supply enterprise.Base characteristic of mountainous urban, this paper analyses and studies water supply network from many points of view. Main work and conclusion is as follows: (1) Four kinds of forecasting models which predicting water demand in the limited future are presented. Meanwhile, based on the shortcoming of gray model GM(1,1), some improving suggestion is present: slippage treatment and equal dimension model. By checkout of practical data, the improved GM(1,1) model has a better forecasting effect than traditional GM(1,1).(2) By hydraulic analysis and energy consumption analysis towards dividing districts of mountainous urban, an energy-saving model is presented.(3) Based on the characteristic of mountainous urban network, construction cost of boosting pump station is added to foundation formula of water supply network's optimization model. Then, according to the foundation formula, optimization model of dividing districts towards mountainous urban network is presented.(4) Because the optimization model of dividing district belongs to complicated and mixed discrete variable optimization problem, it is difficult to get perfect solution. This paper adopts method of decomposition coordination and Simulated Annealing Algorithm to get approximate solution.