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1)  water sources in coal mines
矿井涌水水源
1.
The paper presents a way of analyzing moving clusters based on fuzzy equivalence relation and applies it successfully to the identification and classification of water sources in coal mines.
并成功的运用此方法对矿井涌水水源进行了分类判别,提高了水源判别的科学性和准确性,通过对兖州矿务局杨村矿水样资料的验算,证明了判别的可靠性。
2)  mine inflow
矿井涌水
1.
This paper probes into the aquiferous characteristics of mine aquifer,the formation conditions of mine inflow and the hydraulic connection between surface water and aquifer water,and analyzes the influences of mine water disaster on the production,and puts forward some treatment methods.
探讨了矿井含水层的含水特征、矿井涌水的形成条件以及地表水与含水层水之间的水力联系,分析了矿井水害对生产的影响和处理方法。
3)  mine inflow
矿井涌水量
1.
The predicted mine inflow in the ″Jixian Mining Area Geological Exploration Report″ is 250m3/h,but the present actual mine inflow is as high as 1700-2000 m3/h.
集贤矿区地质勘探报告中预测的矿井涌水量是250m3h/,但目前矿井实际涌水量达1700~2000m3h/,通过对开采前后水文地质资料的分析对比与研究认为,对矿井开采后地下水动力条件的变化缺乏足够认识,采用的矿井涌水量预测模型与实际情况不符是导致预测的矿井涌水量与实际涌水量相差很大的主要原因。
2.
Forecasting the mine inflow is exactly important meaning for preventing mine water inrush, mine flooded and other malignant mine accidents.
矿井涌水量是矿山建设和生产过程中单位时间内流入矿井的水量。
3.
To avoid the BP neural network common problem of trapped into a local solution and take advantage of the genetic algorithm\'s global optimization,a BP network optimized by genetic algorithm approach has proposed to predict mine inflow.
为避免BP神经网络极易陷入局部解的问题,针对遗传算法具有全局寻优的特点,提出了用遗传算法优化BP神经网络预测方法,并以刘桥二矿为例,对其矿井涌水量进行了预测。
4)  mine discharge
矿井涌水量
1.
Chaos in mine discharge and its maximum predictable time scale;
矿井涌水量中的混沌及其最大预报时间尺度
2.
Grey Markov Model for predicting mine discharge;
矿井涌水量的灰色马尔可夫预报模型
3.
The spectral analysis method of the mine discharge's time series and its application;
矿井涌水量时间序列的频谱分析及应用
5)  mine hydraulic discharge
矿井涌水量
1.
The long-term evolvement of groundwater system in mining area is infected by the time series of mine hydraulic discharge.
矿井涌水量时间序列包含矿区地下水系统长期演化的信息。
2.
On the basis of introducing the multifractals concept,power spectrum of mine hydraulic discharge act as a characteristic quantify is put forward,in order that the multifractal spectrum from time series of mine hydraulic discharge is calculated combining with Chhabra and Jensen put up instant calculating method.
介绍了多重分形的概念 ,在Chhabra和Jensen提出直接法的基础上 ,给出了以矿井涌水量时间序列的功率谱函数为特征量的多重分形谱的计算方法和步骤 。
3.
On the basis of analyzing the relationship between fractional Brownian Motion and Joseph Effect, and discussing theoretical sense and practical calculable method in Hurst Exponent, the mine hydraulic discharge research using time seriess rescaled rangle analysis method is put forward.
以此为基础,提出了矿井涌水量时间序列分析的域重新标度法。
6)  mine water flow
矿井涌水量
1.
By using the theory of grey control system,the mine water flow is analysedand predicated through establishing mathematical model in Yongchuan Mine,SichuanProvince.
采用灰色控制系统理论,通过建立数学模型,对四川省永川煤矿矿井涌水量进行分析和预测,结果表明,该方法在预测矿井涌水量中是一种简便而有效的好方法。
补充资料:基坑涌水
      建筑物基坑开挖深度低于地下水位引起地下水涌入基坑的现象。涌入基坑的水一般来自围岩和坑底。如果基坑底面以下浅部有承压含水层,随着基坑开挖深度增加,承压含水层顶部不透水层的厚度不断减小,强度不断降低,当含水层水头压力大于不透水层强度时,承压水则冲破基坑坑底而涌入基坑中。基坑涌水有时会使坑壁失稳,或因坑壁岩、土体发生机械潜蚀,导致突发性大量涌水而淹没基坑,给施工带来极大困难。
  
  直接影响基坑涌水量的因素有:地下水补给来源及其至基坑的距离;地区大气降水强度、延续时间和入渗系数;基坑围岩的渗透通道、含水层厚度、埋藏深度和围岩的渗透系数等。
  
  为了避免基坑涌水给施工带来困难,基坑开挖前应对可能发生涌水的基坑进行涌水量预报,并根据当地水文地质条件和预报的涌水量,采取适当的防治措施。对于涌水量一般较大的水工建筑物,可采用防渗帷幕或设置抽水井、孔等工程措施。对于涌水量不大的建筑基坑,可选用适当排水能力的水泵抽排;在饱水砂土中施工时,还可采用人工冻结方法。
  

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