| 1. | Otherwise the daily mean is perturbed appreciably by the lunar constituents .
否则，日平均值就会明显地受到太阳分潮的干扰。 |
| 2. | Motorcars has become daily means of transport , replacing carriages
汽车已经取代马车成为日常的交通工具。 |
| 3. | Automobile have become the daily means of transport , replacing carriage
汽车已经取代马车成为日常的交通工具。 |
| 4. | Daily means that the interest is calculated on the balance in the account every day
每日方法即以每天在帐户中的余额计算基准。 |
| 5. | The parameters adjusting module uses daily mean values to calculate the adjusting coefficient
在参数调整模块中，用日平均数据来计算调整系数。 |
| 6. | The heat resource is analyzed with the data of the daily mean temperature of the meteorological stations in pengzhou city
摘要利用彭州市境内市气象站、新兴、白果坪的日平均气温资料，进行热量资源分析。 |
| 7. | The 5 - day mean and daily mean images show that the long severe rainfall of yangtze river was produced by the meso -
候和日平均云图表明，降雨云带上频繁产生中尺度暴雨云团造成了7月下旬长江中游连续出现特大暴雨。 |
| 8. | The above figures represent daily mean values of the weather elements calculated from data in the 30 years from 1961 to 1990 for the 5 - day period centred on the day specified
以上数字表示各天气要素的日平均值，是用1961 - 1990三十年内以指定日期为中位的五日期数据计算的。 |
| 9. | Using monthly and daily mean temperature data from 726 stations ' s across china mainland for period of 1951 to 2001 , the author established the time series of mean temperature for the region , and analyzed the decadal variation and change trend in temperature and temperature - defined growing season over the past 51 years
利用中国726个站点1951 - 2001年的逐月和逐日平均气温记录，分析研究了中国1951 - 2001年气温和1961 - 2000年温度生长期的变化及其趋势。结果表明， 1951 - 2001年期间，中国气温上升明显，增暖过程从80年代开始， 1987年以后，增暖趋势有了进一步加快的趋势。 |
| 10. | The figure of daily mean value in resent year showed : the medium term anomaly with impulse jumps appeared 11 months before the event , and the maximum of anomaly was 84 times of the normal rising rate ; the short term anomaly appeared 4 - 1 month before the event , and the maximum of anomaly was 274 times of normal mean fluctuation ; the imminent anomaly appeared 9 days before the event , and the maximum of anomaly was 2 . 5 times of normal mean fluctuation
年日均值图显示，中期异常出现在震前11个月左右，表现为脉冲式向上突跳及阶跃式上升，最大异常量为日均正常上升速率的84倍；中短期异常出现在震前4个月和1个月，最大异常量为正常日均波动值的274倍；临震异常出现在震前的第9天，震前25小时达到最高值，最大异常量为正常日均波动值的2 . 5倍。 |
