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Natural Resources Research - As the cover depth of coalmines in China increases, large protective coal pillars are widely used to support the overlying strata during mining. After the longwall... 相似文献
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2008年初江苏暴雪天气的诊断分析 总被引:4,自引:4,他引:0
用2008年1月25—29日NCEP/NCAR一日四次全球再分析资料对1月25—29日江苏省大范围强降雪过程的天气背景、散度场、水汽通量的流函数与势函数、视热源与视水汽汇以及Q矢量等物理量进行了分析,并进行了南北地区的对比。结果表明:(1)200 hPa与850 hPa的散度差值场,与降雪落区有较好的对应关系;(2)沿江和苏南地区明显的水汽辐合,配合北方冷空气的向南侵入,是造成江淮流域持续暴雪的重要原因之一;(3)强降雪期间,非绝热加热对降雪产生重要影响,其中淮河以南降雪以对流性降雪为主,淮河以北地区以非对流性降雪为主;(4)非地转风造成的Q矢量辐合区主要位于850 hPa切变线附近,为强降雪提供了有利条件。 相似文献
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Rockbust is a violent expulsion of rock due to the extreme release of strain energy stored in surrounding rock mass, leading to considerable damages to underground strucures and equipment, and threatening workers' safety. As the operational depth of engineering projects increases, a larger number of factors influence the mechanism of rockburst. Therefore, accurate classification of rockburst intensity cannot be achieved based on conventional criteria. It is urgent to develop new models with high accuracy and ease to implement in practice. This study proposed an ensemble machine learning method by aggregating seven individual classifiers including back propagation neural network, support vector machine, decision tree, k-nearest neighbours, logistic regression, multiple linear regression and Naïve Bayes. In addition, we proposed nine data imputation methods to replace the missing values in the compiled database including 188 rockburst instances. Five-fold cross validation and the beetle antennae search algorithm are used to tune hyperparameters and voting weights of the individual classifiers. The results show that the rockburst classification accuracy obtained by the classifier ensemble has increased by 15.4% compared with the best individual classifier on the test set. The predictor importance obtained by the classifier ensemble shows that the elastic energy index is the most sensitive input variable for rockburst intensity classification. This robust ensemble method can be extended to solve other classification problems in underground engineering projects. 相似文献
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连云港沿海近地层湍流强度特征 总被引:1,自引:0,他引:1
在对连云港沿海15个各类气象观测站2000—2009年8级以上强风样本统计分析基础之上,利用6座沿海梯度测风塔2005—2007年测风资料,探讨了连云港沿海近地层风湍流强度的时空分布规律及特点,并重点对不同类型天气系统引起的强风湍流演变特征及其对风电场影响进行剖析。研究结果表明:①风湍流强度具有很强的季节性,冬季小、夏季大,随高度增加而减小;②海面动力粗糙度对海上强湍流变化的影响有别于无强风及下垫面是陆地时;③在热带气旋影响区域,同一时段内可能会出现风速和湍流强度瞬时骤变现象;④海上强湍流出现在30m以上高度,陆地出现在底层,这一现象在不同天气系统引起的强风湍流变化中都有发现;⑤风机轮毂高度处有2.1%~3.8%的湍流强度特征值超过目前风机最大抗湍流强度设计标准,建议华东中、北部沿海地区风机抗湍流强度参数调整为0.31~0.41。 相似文献
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风廓线与测风塔资料在地面风场预报中的应用研究 总被引:1,自引:0,他引:1
运用四维同化方法将风廓线雷达和测风塔资料应用到WRF模式中,通过对比资料同化前后模式对地面风场的预报效果可知,加入风廓线雷达和测风塔资料后模式对风速的预报效果有明显提高,对风向的预报也有一定程度的改善;资料同化结束后,模式预报在49h内对地面风场预报效果仍有明显改善,但随着模式预报时间的增加,在模式积分49h以后,同化资料前后模式对地面风场的预报效果无明显变化。另外,通过对资料同化前后模式对风速预报误差的分析可知,在对模式风场预报的改进中风廓线雷达资料的贡献大于测风塔资料的贡献。 相似文献