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磷尾礦充填體中有害元素的溶出行為研究

發(fā)布時間:2018-05-11 16:44

  本文選題:磷尾礦 + 充填體 ; 參考:《貴州大學(xué)》2015年碩士論文


【摘要】:近年來,尾礦充填法作為一種高效、安全的開采方法被許多礦山應(yīng)用,為了考察磷尾礦充填體填充到井下后對井下環(huán)境的污染情況,本文以貴州某磷礦尾礦為骨料制作充填體,對充填體進行有害元素的溶出試驗。結(jié)合充填原料磷尾礦、粉煤灰和水泥性質(zhì)分析的結(jié)果,選取總硬度、硫酸鹽、氟化物、總磷和Fe作為溶出試驗指標(biāo),通過對磷尾礦及充填體的靜態(tài)浸泡試驗,得出磷尾礦和磷尾礦充填體各元素的溶出規(guī)律相似,具體結(jié)果如下:(1)隨時間的增加、溫度的升高和液固比的降低,充填體及磷尾礦中總硬度、硫酸鹽、總磷和氟化物的溶出濃度呈上升趨勢。在浸泡前10天各溶出濃度快速增加,隨后各溶出濃度增加逐漸緩慢,30天后各溶出濃度基本趨于平穩(wěn)。(2)隨著pH值的降低,總硬度、硫酸鹽、總磷的溶出濃度呈上升趨勢,在pH值低于3時,總硬度、硫酸鹽、總磷的溶出濃度增高趨勢明顯。而氟化物的溶出濃度則隨pH值的升高而增加。(3)改變浸泡時間、液固比及溫度,Fe的溶出規(guī)律不明顯,但當(dāng)浸泡液pH值為2時,Fe的溶出濃度增高趨勢明顯,說明pH值較低的條件利于Fe溶出。(4)對比磷尾礦和磷尾礦充填體溶出試驗數(shù)據(jù),結(jié)果表明,充填體中總磷和氟化物的溶出濃度低于磷尾礦總磷和氟化物的溶出濃度,而充填體中硫酸鹽的溶出濃度高于磷尾礦硫酸鹽的溶出濃度。為考察浸泡溫度、液固比、pH值、時間4種因素對充填體總硬度、硫酸鹽、總磷和氟化物溶出濃度的整體影響程度,設(shè)計正交試驗,選取內(nèi)梅羅指數(shù)作為試驗考察指標(biāo),試驗結(jié)果表明,對溶出濃度影響最大的因素為液固比,其次為pH、時間和溫度。以國家地下水質(zhì)量標(biāo)準(zhǔn)為評價標(biāo)準(zhǔn),采用模糊綜合評價法對充填體泌水的9項因子進行評價,評價表明,充填體泌水對于地下水屬于V類污染,對地下水的污染程度嚴(yán)重,主要污染因子為總硬度、硫酸鹽和氟化物。將充填體的溶出試驗數(shù)據(jù)作為訓(xùn)練樣本,借助MATLAB補償模糊神經(jīng)網(wǎng)絡(luò)工具箱,對總硬度、硫酸鹽、總磷和氟化物的溶出濃度建立4個預(yù)測模型。對建立的模型進行檢驗得出,建立的補償模糊神經(jīng)網(wǎng)絡(luò)模型預(yù)測數(shù)據(jù)與實測數(shù)據(jù)基本一致,具有一定的可行性。
[Abstract]:In recent years, tailings filling method has been used in many mines as an efficient and safe mining method. In order to investigate the pollution of underground environment caused by phosphorus tailings filling, a phosphate tailings from Guizhou province is used as aggregate to make backfill. The dissolving test of harmful elements was carried out on the filling body. Combined with the analysis of the properties of phosphorus tailings, fly ash and cement, the total hardness, sulfate, fluoride, total phosphorus and Fe were selected as the dissolution test indexes, and the static soaking test of phosphorus tailings and backfill was carried out. It is concluded that the dissolution law of each element in phosphorus tailings and phosphorus tailings is similar, and the specific results are as follows: 1) with the increase of time, the increase of temperature and the decrease of liquid-solid ratio, the total hardness and sulfate in the backfill and phosphorus tailings, The dissolved concentration of total phosphorus and fluoride showed an increasing trend. The dissolution concentration increased rapidly 10 days before soaking, and then gradually increased slowly after 30 days. After 30 days, the dissolved concentration tended to be stable. (2) with the decrease of pH value, the total hardness, sulfate and total phosphorus concentration increased, and the total hardness, sulfate and total phosphorus concentration increased with the decrease of pH value. When pH value is lower than 3, the total hardness, sulfate and total phosphorus concentration increase obviously. However, the dissolution concentration of fluoride increased with the increase of pH value. The soaking time was changed. The dissolution rate of liquid to solid and the temperature of Fe were not obvious, but the dissolution concentration of Fe increased obviously when the pH value of soaking solution was 2. The results showed that the dissolution concentration of total phosphorus and fluoride was lower than that of phosphorus tailings and fluoride, the results showed that the dissolution concentration of total phosphorus and fluoride was lower than that of phosphorus tailings. The dissolution concentration of sulfate in backfill is higher than that in phosphorus tailings. In order to investigate the overall influence of soaking temperature, liquid-solid ratio, pH value and time on the total hardness, sulfate, total phosphorus and fluoride dissolution concentration of the filling body, the orthogonal test was designed, and the Nemero index was selected as the test index. The results showed that the most important factors affecting dissolution concentration were liquid-solid ratio, pH, time and temperature. Taking the national groundwater quality standard as the evaluation standard, the fuzzy comprehensive evaluation method is used to evaluate the nine factors of the bleeding of the filling body. The evaluation shows that the bleeding of the filling body belongs to the class V pollution of the groundwater, and the pollution degree of the filling body to the groundwater is serious. The main pollution factors are total hardness, sulfate and fluoride. Taking the dissolution test data of the filling body as the training sample and using the MATLAB compensation fuzzy neural network toolbox, four prediction models were established for the total hardness, sulfate, total phosphorus and fluoride dissolution concentration. By testing the established model, it is concluded that the predicted data of the model are basically consistent with the measured data, and the proposed model is feasible.
【學(xué)位授予單位】:貴州大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TD926.4

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