本文選題：水質(zhì)模型 + 末端��； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：城市供水安全是關(guān)系到國(guó)民的生命和健康的一個(gè)重要問題,經(jīng)過多年的使用,金屬管道會(huì)有不同程度的腐蝕從而形成水垢,鐵釋放是水質(zhì)惡化的一個(gè)重要原因,會(huì)導(dǎo)致“紅水”,影響飲用水觀感,造成用戶投訴,同時(shí)飲用水過量鐵的攝入也會(huì)導(dǎo)致用戶的健康問題。水質(zhì)模型是實(shí)現(xiàn)水質(zhì)監(jiān)測(cè)和控制的重要工具,EPANET工具包是水力水質(zhì)模型的重要方法,然而其水質(zhì)推流模型并不考慮在供水管網(wǎng)末端水質(zhì)的釋放和鐵的擴(kuò)散效應(yīng),造成相應(yīng)的模擬誤差,導(dǎo)致對(duì)水質(zhì)實(shí)時(shí)變化規(guī)律把握的不準(zhǔn)確。為研究這一現(xiàn)象,修正EPANET并得到更為精確的水質(zhì)模型,本研究設(shè)計(jì)實(shí)驗(yàn)?zāi)こ匮b置,使用已知物系KCL標(biāo)定膜池反應(yīng)器的膜池常數(shù),將多次實(shí)驗(yàn)的平均值最為最終膜池常數(shù)。利用膜池常數(shù)以及絡(luò)合滴定法對(duì)288.15K、293.15K、298.15K三個(gè)溫度下的氯化亞鐵積分?jǐn)U散系數(shù)進(jìn)行測(cè)定,以獲得積分?jǐn)U散系數(shù)為初值,通過最小二乘法得到微分?jǐn)U散系數(shù)關(guān)于濃度的表達(dá)式,結(jié)果可知微分?jǐn)U散系數(shù)隨溫度提高而增大,每度影響約為2%,隨濃度增大而呈減小趨勢(shì)。以上述實(shí)驗(yàn)測(cè)定的微分?jǐn)U散系數(shù)為參數(shù),建立CFD數(shù)值模型,以湍流場(chǎng)作為物質(zhì)遷移場(chǎng)的耦合場(chǎng)。設(shè)計(jì)實(shí)驗(yàn)裝置,在三個(gè)溫度下分布設(shè)置七個(gè)不同工況對(duì)CFD數(shù)值模型的準(zhǔn)確性進(jìn)行標(biāo)定,同時(shí)利用EPANET對(duì)同樣情況進(jìn)行模擬,比較三者的差距,結(jié)果顯示傳統(tǒng)水質(zhì)模型由于物質(zhì)遷移機(jī)制問題,難以模擬此情況下的水質(zhì)變化,認(rèn)為CFD數(shù)值模型能夠一定程度的反映實(shí)際情況,EPANET需要進(jìn)行一定的修正。利用標(biāo)定后的CFD數(shù)值模型在288.15K、293.15K、298.15K下以末段長(zhǎng)度、末端管徑、末端連接管段管徑、末端連接管段流速、末端存水濃度為自變量,研究其對(duì)鐵擴(kuò)散量的影響。為便于實(shí)際工程應(yīng)用,本研究使用一種新型的多元非線性回歸方法,先通過一元非線性回歸確定單個(gè)自變量的最佳回歸模型形式,并以多個(gè)自變量最佳模型的疊加作為多元非線性回歸的初始值,繼續(xù)進(jìn)行迭代得到三個(gè)溫度下的經(jīng)驗(yàn)?zāi)Ｐ?所得到的多元非線性回歸模型2可以達(dá)到99%,顯著性遠(yuǎn)遠(yuǎn)小于0.05,在定義域區(qū)間內(nèi)收斂速度快且擬合準(zhǔn)確。本文工程應(yīng)用以DG市某片區(qū)管網(wǎng)為例,綜合利用該片區(qū)管網(wǎng)拓?fù)鋽?shù)據(jù),建立該片區(qū)管網(wǎng)水力模型,選擇測(cè)壓點(diǎn)對(duì)管網(wǎng)水力模型的準(zhǔn)確性進(jìn)行標(biāo)定。在符合相關(guān)標(biāo)準(zhǔn)的管網(wǎng)水力模型的基礎(chǔ)上,分別使用改進(jìn)前與改進(jìn)后的EPANET對(duì)DG市該片區(qū)管網(wǎng)進(jìn)行給水管網(wǎng)水質(zhì)建模,由給水管網(wǎng)鐵模型模擬結(jié)果可知,改進(jìn)后的EPANET可以更為準(zhǔn)確的描述鐵在給水管網(wǎng)中的實(shí)時(shí)分布,具有較為廣泛的應(yīng)用價(jià)值。
[Abstract]:The safety of urban water supply is an important issue related to the life and health of the people. After years of use, metal pipes will corrode to varying degrees and thus form scale. Iron release is an important reason for the deterioration of water quality. It can lead to "red water", affect the perception of drinking water, cause user complaints, and drinking water excessive iron intake can also lead to health problems. Water quality model is an important tool to realize water quality monitoring and control. EPANET toolkit is an important method of hydraulic water quality model. However, its water quality pushing model does not consider the water quality release and iron diffusion effect at the end of water supply network. The corresponding simulation error results in inaccurate understanding of the real-time variation law of water quality. In order to study this phenomenon, correct EPANET and get a more accurate water quality model, an experimental membrane cell device was designed in this paper. The known KCL was used to calibrate the membrane cell constant of the membrane cell reactor, and the average value of many experiments was the final membrane cell constant. The integral diffusion coefficient of ferrous chloride at three temperatures 288.15K ~ 293.15K ~ 298.15K was determined by membrane cell constant and complexometric titration. The integral diffusion coefficient was obtained as the initial value, and the expression of differential diffusion coefficient about concentration was obtained by the least square method. The results show that the differential diffusion coefficient increases with the increase of temperature, the effect of each degree is about 2%, and decreases with the increase of concentration. With the differential diffusion coefficient measured in the above experiments as the parameter, the CFD numerical model is established, and the turbulent field is used as the coupling field of the mass transport field. An experimental device was designed to calibrate the accuracy of the CFD numerical model under seven different working conditions under three temperature distributions. At the same time, the accuracy of the CFD numerical model was simulated by EPANET, and the differences among the three models were compared. The results show that the traditional water quality model is difficult to simulate the change of water quality due to the problem of material migration mechanism. It is considered that the CFD numerical model can reflect the actual situation to a certain extent. By using the calibrated CFD numerical model at 288.15K 293.15K 298.15K, the influence of the end length, the end diameter, the end connecting pipe diameter, the terminal connecting pipe flow velocity and the terminal water concentration on the iron diffusion is studied. In order to facilitate practical engineering application, a new multivariate nonlinear regression method is used to determine the optimal regression model of a single independent variable by univariate nonlinear regression. Taking the superposition of the optimal model of multiple independent variables as the initial value of multivariate nonlinear regression, the empirical model at three temperatures is obtained by iteration. The multivariate nonlinear regression model 2 can reach 99th, the significance is far less than 0.05, the convergence speed is fast and the fitting is accurate in the domain of definition. Taking a district pipe network in DG city as an example, the hydraulic model of the pipe network in DG city is established by using the topological data of the district pipe network. The accuracy of the hydraulic model is calibrated by selecting the pressure measuring points. On the basis of the hydraulic model of the pipe network which accords with the relevant standards, the water quality model of the water distribution network in the DG region is established by using the improved EPANET before and after the improvement, and the simulation results of the iron model of the water supply network can be seen. The improved EPANET can more accurately describe the real-time distribution of iron in water distribution network, and it has more extensive application value.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU991.33

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本文編號(hào)：1785470