对比区 meaning in English
contrast area
Examples
- In this paper a new method of evaluating the efficiency of non - randomized artificial precipitation enhancement - cluster - analysis - based floating control historical regression method ( ca - fcm ) was presented , which made use of cluster analysis and grid interpolation of precipitation
本文利用聚类分析和雨量网格插值技术，对非随机区域历史回归试验进行了重要改进，提出了一种新的试验方案?基于聚类的浮动对比区历史回归人工增雨效果统计检验方法( ca - fcm ) 。 - First , based on the historical data of 20 years of henan province , the cloud seeding operation cases in april and october in the central region of henan province were evaluated by cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates , cluster - analysis - based floating control historical regression method with uniform precipitation as meteorological covariate , and floating control historical regression method ( fcm )
首先，根据河南省近20年的历史资料，分别用以降水量为协变量的ca - fcm方法、以降水量和整层大气可降水量为协变量的ca - fcm方法和浮动对比区历史回归统计检验方法( fcm ) ，对河南省4月和10月增雨作业进行评估。 - It was shown from the result of analysis and comparison that the evaluation efficiency for the non - randomized cloud seeding operations could be improved by using appropriate physical covariate as control factor and increasing the correlativity between rainfall distributions in the control area and target area
比较分析的结果表明，只要不断提高对比区和影响区的相关性和引入新的更有效的协变量，就可能提高非随机化作业的效果评估效率，从而更好的检验人工增雨作业的效果。 - In the end , cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as metoorological covariates could more validly evaluate efficiency of cloud seeding operations and significant level of ca - fcm method was higher than the other methods , because it adopted cluster analysis which highly improved the correlativity between rainfall distributions in the control area and target area , and used grid interpolation which enhanced exactness of calculating precipitation rainfall , and chose atmospheric precipitable water as the covariant which increased the inferential accuracy of natural rainfall on the cloud seeding operational area
最后，得到以降水量和整层大气可降水量为协变量的ca - fcm方法，由于采用聚类分析( ca )方法，提高了对比区和影响区相关性；采用网格插值技术提高了雨量的计算准确度；引入了不受催化影响的物理协变量(整层大气可降水量) ，提高了作业区自然降水量估计值的准确性；所以评估效果最好，显著水平高于0 . 05 。