CAJ | 학술논문

充分挖掘降雨变量语法信息，利用基于差异序列信息熵测度理论的遗传算法聚类分析方法，对淮河流域蚌埠站以上区域99个雨量站进行了分区研究。根据各子区域内雨量站降雨序列差异测度得到最优分区，从而使得降雨信息在区域内具有较大的同质性。最后，以插值精度为标准，将不分区的情况为参照对象，对2、4、8三种分区结果进行校验，结果显示，相对于不分区，分区明显提升了降雨插值的精度。
충분알굴강우변량어법신식，이용기우차이서렬신식적측도이론적유전산법취류분석방법，대회하류역방부참이상구역99개우량참진행료분구연구。근거각자구역내우량참강우서렬차이측도득도최우분구，종이사득강우신식재구역내구유교대적동질성。최후，이삽치정도위표준，장불분구적정황위삼조대상，대2、4、8삼충분구결과진행교험，결과현시，상대우불분구，분구명현제승료강우삽치적정도。
This paper fully dug the grammatical information of the rainfall as a variable, used the way of genetic algorithm cluster-ing based on diversity sequence information entropy measure theory; and made regionalization research on the 99 precipitation sta-tions above the Bengbu Station in the Huaihe River Basin. The optimal classification was obtained based on the measures of the rainfall sequences of the precipitation stations in the various sub-regions. Therefore, the research objective of high homogeneity a-mong the rainfall information in the sub-regions was achieved. Finally, the 3 classifications of 2, 4 and 8 were checked by using the accuracy of interpolation, and taking un-categorization as reference object. The results show that the classification can improve the accuracy of rainfall interpolation.