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华南区域短期气候模式产品时间过滤方案及实例分析 被引量:1
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作者 阎敬华 《热带气象学报》 CSCD 北大核心 1999年第3期213-220,共8页
用尺度分离方法分析了短期气候预测序列中所包含的各种尺度的过程,建立了不同尺度变化的过滤、提取方法;分析讨论了各种过滤序列所具有的气候意义和重要程度;
关键词 短期气候模式 时间序列 短期预报 预测指标量
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Analysis of Physical Quantities and Radar Parameters about Hail Shooting and Heavy Convective Rainfall
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作者 陈金敏 刁秀广 《Agricultural Science & Technology》 CAS 2012年第11期2434-2437,2441,共5页
[Objective] The paper is to analyze physical quantities and radar parameter of hail shooting and heavy convective rainfall weather. [Method] Using radar data of Jinan station during 2002 and 2008, combined with soundi... [Objective] The paper is to analyze physical quantities and radar parameter of hail shooting and heavy convective rainfall weather. [Method] Using radar data of Jinan station during 2002 and 2008, combined with sounding data, the physical quantities and radar parameter of hail shooting and heavy convective rainfall weather are compared and analyzed. [Result] The smaller Sl is conducive to the generation of hail weather. When K〉 35 ~C, the probability for occurrence of heavy rainfall weather is significantly increased; when K〈20 ^(3, the probability for occurrence of heavy rainfall weather is significantly decreased. When CAPE value is greater than 1 500 J/KG, the probability for occurrence of hail weather is significantly decreased, while the probability for occurrence of heavy rainfall weather is significantly in- creased. The possibility for occurrence of hail monomer is small when the wind shear is less than 5 m/s; and it is large while wind shear is greater than 20 m/s. The radar forecasting indexes of hail monomer is as follows: VIL value reaches 35 kg/m2 (May), 43 kg/m2 (June and July), the monomer height is greater than 9 km, the maximum reflectivity factor is larger than 60 dBz, strong center height reaches 3.3 km (May), 4.3 km (June) and 5.5 km (July); VlL value of heavy rainfall monomer generally is below 25 kg/m2. [Conclusion] The paper provides basis form prediction of hail and heavy rainfall. 展开更多
关键词 HAIL Heavy convective rainfall VIL Weather radar parameter
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On quantitative prediction of mine structure and application of the method
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作者 夏玉成 樊怀仁 《Journal of Coal Science & Engineering(China)》 2002年第1期33-37,共5页
Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative ... Coal mining activity is often restricted by geologic structural conditions, so it is very important to know the distribution situation of mine structures in advance of mining. For this reason, traditional qualitative procedure must give way to quantitative prediction method backed by mathematics theory and computer technology. This paper explores some relevant problems with the method, introducing a software, MSPS, used to predict automatically and quantitatively the relative complexities of geologic structures in different blocks of a coal mining area, with an application example employing the software to select the most suitable mining sites. 展开更多
关键词 mine structure quantitative prediction assessment index automatic quantifying
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Application of artificial neural networks to the prediction of tunnel boring machine penetration rate 被引量:14
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作者 JAVAD Gholamnejad NARGES Tayarani 《Mining Science and Technology》 EI CAS 2010年第5期727-733,共7页
Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.This paper presents the results of a study into the appli... Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.This paper presents the results of a study into the application of an Artificial Neural Network(ANN) technique for modeling the penetration rate of tunnel boring machines.A database,including actual,measured TBM penetration rates,uniaxial compressive strengths of the rock,the distance between planes of weakness in the rock mass and rock quality designation was established.Data collected from three different TBM projects(the Queens Water Tunnel,USA,the Karaj-Tehran water transfer tunnel,Iran,and the Gilgel Gibe II hydroelectric project,Ethiopia).A five-layer ANN was found to be optimum,with an architecture of three neurons in the input layer,9,7 and 3 neurons in the first,second and third hidden layers,respectively,and one neuron in the output layer.The correlation coefficient determined for penetration rate predicted by the ANN was 0.94. 展开更多
关键词 artificial neural networks TBM tunneling penetration rate modeling
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Building a Comprehensive Well-off Society in Yunnan's Minority Areas A Study of the Prediction on the Differences in Life Quality Indexes
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作者 Yunhong GONG Lijiao WANG 《International Journal of Technology Management》 2015年第10期100-105,共6页
Based on the gray theory and GM (1, 1) model, the life quality indexes in next few years are predicted using the statistical data of the life quality indexes of Yunnan' s 8 minority areas in recent years and also c... Based on the gray theory and GM (1, 1) model, the life quality indexes in next few years are predicted using the statistical data of the life quality indexes of Yunnan' s 8 minority areas in recent years and also compared with the standard value (2020) of building the national well-off society, and the differences between them are measured and calculated. Thus, effective reference information is provided for the decision-making of government. 展开更多
关键词 Yunnan' s Minority Areas Life Quality Indexes GM(1 1) Prediction Model
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