seeding operation meaning in Chinese
原始业务
Examples
- 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。 - Three evaluation methods for the nonrandomized precipitation enhancement operation effects have been developed based on the regional rainfall control and meteorologit cal covariable correlation : dopple ratio analysis evaluation method using regional rainfall ten - dency control for single cloud seeding operation case ; regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall ; and multiple regression analysis with meteorological and physical covariables
本文根据区域趋势控制和气象-物理协变量相关设计了三套非随机化人工增雨作业效果评估方案：个例作业区域趋势对比双比分析评估方案、区域趋势相关回归分析评估方案和气象-物理协变量多元回归分析评估方案。 - Then , six evaluation methods ( double ratio analysis evaluation method using regional rainfall tendency control for single cloud seeding operation case , regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall , multiple regression analysis evaluation effects on the bases of regional developing tendency of rainfall , 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 used as meteorological covariate , and float ing control historical regression method ) were compared and analyzed with the case of the cloud seeding operation on 5 april 2002 in henan province
然后，以河南省2002年4月5日飞机增雨作业为个例，对作业区域趋势对比双比分析评估方案、区域趋势相关回归分析方案、区域趋势多元回归分析方案、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fcm方法6种评价方案进行分析比较。 - 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 。