例句與造句

1. The artificial rainmaking ( cloud seeding ) doesn ' t help much
   人造雨（云種散播）沒發(fā)揮什麼多大的作用。
2. Investigation on catalyst dosage in aircraft cloud seeding in stratiform clouds
   層狀云飛機(jī)增雨催化劑用量研究
3. The government is using cloud seeding to try to produce rain for farmers , stave off drought and fill water basins
   而且政府經(jīng)常用人工降雨來為農(nóng)民制造降雨，對抗干旱并且填充水流域。
4. However , one official admits that although cloud seeding could be effective in preventing light rain on aug . 8 , it could not curb the onset of a moderate to heavy storm
   盡管如此，一個(gè)官方人士承認(rèn)，人工降雨可以使他們阻止8月8號比較輕量級的降雨，他們是無法阻止一場形成中的大暴雨的。
5. 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，根據(jù)河南省近20年的歷史資料，分別用以降水量為協(xié)變量的ca - fcm方法、以降水量和整層大氣可降水量為協(xié)變量的ca - fcm方法和浮動對比區(qū)歷史回歸統(tǒng)計(jì)檢驗(yàn)方法( fcm ) ，對河南省4月和10月增雨作業(yè)進(jìn)行評估。
6. It's difficult to find cloud seeding in a sentence. 用cloud seeding造句挺難的
7. 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
   本文根據(jù)區(qū)域趨勢控制和氣象-物理協(xié)變量相關(guān)設(shè)計(jì)了三套非隨機(jī)化人工增雨作業(yè)效果評估方案：個(gè)例作業(yè)區(qū)域趨勢對比雙比分析評估方案、區(qū)域趨勢相關(guān)回歸分析評估方案和氣象-物理協(xié)變量多元回歸分析評估方案。
8. 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日飛機(jī)增雨作業(yè)為個(gè)例，對作業(yè)區(qū)域趨勢對比雙比分析評估方案、區(qū)域趨勢相關(guān)回歸分析方案、區(qū)域趨勢多元回歸分析方案、以降水量為協(xié)變量的ca - fcm方法、以降水量和整層大氣可降水量為協(xié)變量的ca - fcm方法和fcm方法6種評價(jià)方案進(jìn)行分析比較。
9. 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
   比較分析的結(jié)果表明，只要不斷提高對比區(qū)和影響區(qū)的相關(guān)性和引入新的更有效的協(xié)變量，就可能提高非隨機(jī)化作業(yè)的效果評估效率，從而更好的檢驗(yàn)人工增雨作業(yè)的效果。
10. 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，得到以降水量和整層大氣可降水量為協(xié)變量的ca - fcm方法，由于采用聚類分析( ca )方法，提高了對比區(qū)和影響區(qū)相關(guān)性；采用網(wǎng)格插值技術(shù)提高了雨量的計(jì)算準(zhǔn)確度；引入了不受催化影響的物理協(xié)變量(整層大氣可降水量) ，提高了作業(yè)區(qū)自然降水量估計(jì)值的準(zhǔn)確性；所以評估效果最好，顯著水平高于0 . 05 。