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Analysis of stochastic characteristics of the Benue River flow process 被引量:1
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作者 Martins Y. OTACHE Mohammad BAKIR 李致家 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2008年第2期142-151,共10页
Stochastic characteristics of the Benue River streamflow process are examined under conditions of data austerity. The streamflow process is investigated for trend, non-stationarity and seasonality for a time period of... Stochastic characteristics of the Benue River streamflow process are examined under conditions of data austerity. The streamflow process is investigated for trend, non-stationarity and seasonality for a time period of 26 years. Results of trend analyses with Mann-Kendall test show that there is no trend in the annual mean discharges. Monthly flow series examined with seasonal Kendall test indicate the presence of positive change in the trend for some months, especially the months of August, January, and February. For the stationarity test, daily and monthly flow series appear to be stationary whereas at 1%, 5%, and 10% significant levels, the stationarity alternative hypothesis is rejected for the annual flow series. Though monthly flow appears to be stationary going by this test, because of high seasonality, it could be said to exhibit periodic stationarity based on the seasonality analysis. The following conclusions are drawn: (1) There is seasonality in both the mean and variance with unimodal distribution. (2) Days with high mean also have high variance. (3) Skewness coefficients for the months within the dry season period are greater than those of the wet season period, and seasonal autocorrelations for streamflow during dry season are generally larger than those of the wet season. Precisely, they are significantly different for most of the months. (4) The autocorrelation functions estimated "over time" are greater in the absolute value for data that have not been deseasonalised but were initially normalised by logarithmic transformation only, while autocorrelation functions for i = 1, 2 365 estimated "over realisations" have their coefficients significantly different from other coefficients. 展开更多
关键词 TREND stationarity SEASONALITY over time over realisation STOCHASTIC SKEWNESS
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Analysis of long-term dependence phenomenon in Benue River flow process and its hypothesis testing
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作者 Martins Y. OTACHE 李致家 Mohammad BAKIR 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2008年第3期313-322,共10页
In this paper, the long-term dependence phenomenon (the Hurst Effect) which characterizes hydrological and other geophysical times series is studied. The long-term memory is analysed for both daily and monthly strea... In this paper, the long-term dependence phenomenon (the Hurst Effect) which characterizes hydrological and other geophysical times series is studied. The long-term memory is analysed for both daily and monthly streamflow series of the Benue River at Makurdi, Nigeria by using heuristic methods and testing specifically the null hypothesis of short-term memory in the monthly flow series. Results obtained by applying heuristic procedures indicated that there may be the presence of long-term memory component in mean daily flow series but there is no discernible reason to suspect the presence in both average monthly and maximum monthly flow series (extreme event). Hypothesis testing was conducted by using original and modified versions of rescaled range statistic. When the modified rescaled range, which accounts for short-term memory in the series, is used, the null hypothesis is accepted for both the average monthly and maximum monthly flow series, indicating little or no probable presence of long-term memory in the series. An identical conclusion is also arrived at when second null hypothesis for independence of the monthly flow series is tested. Therefore, apart from the mean daily flow series, there is little evidence of long-term dependence in the Benue River streamflow series at Makurdi. However, considering the limited length of data used, the results are inconclusive. 展开更多
关键词 Hurst exponent hydrological method time series river flow long memory NIGERIA
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Duck egg drop syndrome virus:an emerging Tembusu-related flavivirus in China 被引量:31
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作者 LIU PeiPei LU Hao +3 位作者 LI Shuang WU Ying George Fu GAO SU JingLiang 《Science China(Life Sciences)》 SCIE CAS 2013年第8期701-710,共10页
Duck egg drop syndrome virus(DEDSV) is a newly emerging pathogenic flavivirus isolated from ducks in China.DEDSV infection mainly results in severe egg drop syndrome in domestic poultry,which leads to huge economic lo... Duck egg drop syndrome virus(DEDSV) is a newly emerging pathogenic flavivirus isolated from ducks in China.DEDSV infection mainly results in severe egg drop syndrome in domestic poultry,which leads to huge economic losses.Thus,the discovery of ways and means to combat DEDSV is urgent.Since 2010,a remarkable amount of progress concerning DEDSV research has been achieved.Here,we review current knowledge on the epidemiology,symptomatology,and pathology of DEDSV.A detailed dissection of the viral genome and polyprotein sequences,comparative analysis of viral antigenicity and the corresponding potential immunity against the virus are also summarized.Current findings indicate that DEDSV should be a distinct species from Tembusu virus.Moreover,the adaption of DEDSV in wildlife and its high homology to pathogenic flaviviruses(e.g.,West Nile virus,Japanese encephalitis virus,and dengue virus),illustrate its reemergence and potential to become a zoonotic pathogen that should not be overlooked.Detailed insight into the antigenicity and corresponding immunity against the virus is of clear significance for the development of vaccines and antiviral drugs specific for DEDSV. 展开更多
关键词 DEDSV BYDV PATHOLOGY genome PHYLOGENY ANTIGENICITY vaccine
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