CAJ | 학술논문

针对区域自动站降水实时资料应用中出现的问题，提出一种利用改进的“莱因达”准则处理区域自动站实时降水数据的方法。首先由欧式距离聚类得到样本空间，再计算样本的均值和残差，然后给出了可疑度的定义，从而计算出各个站点的可疑度。最后通过实际数据进行参数分析，证明了算法的有效性、实用性。
침대구역자동참강수실시자료응용중출현적문제，제출일충이용개진적“래인체”준칙처리구역자동참실시강수수거적방법。수선유구식거리취류득도양본공간，재계산양본적균치화잔차，연후급출료가의도적정의，종이계산출각개참점적가의도。최후통과실제수거진행삼수분석，증명료산법적유효성、실용성。
In this paper, a new data processing method based on a kind of improved ＂PauTa＂ criterion is put forward for the treatment of real time precipitation data of regional automatic weather stations, to solve the problems occurred in related data applications. First, sample space is collected by Euclidean distance clustering, then the sample mean and the residuals are calcu- lated, after that the definition for a suspicious degree is given, to calculate real suspicious degree of various sites. In the end, actual data in Zhejiang Province are used for parameter analysis, which proves the validity and practicability of the new method.