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作 者:徐俊波 周国祥[1] 沈轶杰 周波 XU Junbo;ZHOU Guoxiang;SHEN Yijie;ZHOU Bo(School of Computer and Information,Hefei University of Technology,Hefei 230601,China)
机构地区:[1]合肥工业大学计算机与信息学院
出 处:《合肥工业大学学报(自然科学版)》2019年第9期1199-1204,1257,共7页Journal of Hefei University of Technology:Natural Science
基 金:国家自然科学基金资助项目(41401445;41371421);安徽省自然科学基金资助项目(1508085QD76)
摘 要:地震前通常伴随着异常增温现象,传统获取增温信息的方式,对异常温度场的整体信息体现得不够明显。为弥补传统方式的不足,文章采用双维度插值法及三维整体插值法对震区国家环境数据中心(National Centers for Environmental Prediction,NCEP)温度数据进行插值,重建震区异常温度场,并运用直接体绘制技术对其进行可视化。实验表明,从体绘制结果中能够直观地获取异常温度场的整体信息,更易分析出震前异常增温特征,2种插值算法都能够重建震区异常温度场,相比而言,双维度插值法的绘制结果较为平滑,三维整体插值法更能体现出温度变化的整体性。Warming abnormality often occurs before earthquake,and overall information of warming field accessed by the traditional way is not obvious.To make up for the deficiency of traditional way,the National Centers for Environmental Prediction(NCEP)warming data of earthquake area is interpolated by the double-dimensional interpolation method and the three-dimensional BiCubic interpolation method,and it is visualized with direct volume rendering.Experiments show that the abnormal warming information can be obtained from the volume rendering results intuitively,and both interpolation algorithms can construct the abnormal warming field,and the result of double-dimensional interpolation method is smooth,the three-dimensional BiCubic interpolation method reflects the overall information of warming field better.
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