Abstract Picoplankton distribution was investigated in different water masses of the East China Sea in November, 2006 and February, 2007. The autumn and winter cruises crossed three major water masses: the coastal wa...Abstract Picoplankton distribution was investigated in different water masses of the East China Sea in November, 2006 and February, 2007. The autumn and winter cruises crossed three major water masses: the coastal water mass (CWM), the mixed water mass (MWM), which forms on the continental shelf, and the Kuroshio water mass (KWM). Picoplankton composition was resolved into four main groups by flow cytometry, namely Synechococcus, Prochlorococcus, picoeukaryotes, and heterotrophic bacteria. The average abundances of Synechococcus, picoeukaryotes, and heterotrophic bacteria were (0.63+ 10.88)~ 103, (1.61+1.16)x103, (3.39~1.27)x105 cells/mL in autumn and (6.45~8.60)x103, (3.23~2.63)x103, (3.76~1.37)x 105 cells/mL in winter, respectively. Prochlorococcus was not found in the CWM and seldom observed in surface samples in either season. However, Prochlorococcus was observed in the MWM and KWM (approximately 103 cells/mL) in both auttman and winter. Synechococcus distribution varied considerably among water masses, with the highest levels in KWM and lowest levels in CWM. The depth-averaged integrated abundance of Synechococcus was approximately 5-fold higher in KWM than in CWM, which may be due primarily to water temperature. In the MWM, Synechococcus was resolved as two subgroups; the presence of both subgroups was more common in autumn. Picoeukaryote abundance varied less among water masses than Synechococcus, and heterotrophic bacteria depth-averaged integrated abundance exhibited the smallest seasonal variations with respect to water mass. Correlation analysis showed that relationships between picoplankton abundances and environmental factors (temperature, nutrients, and chlorophyll a) differed among the three water masses, suggesting that the three water masses have different effects on picoplankton distribution (particularly Synechococcus).展开更多
We studied the impact of sea surface temperature anomaly(SSTA) in the Japan Sea and the sea area east of Japan on the winter rainfall and air temperature in Northeast(NE) China using the singular value decomposition(S...We studied the impact of sea surface temperature anomaly(SSTA) in the Japan Sea and the sea area east of Japan on the winter rainfall and air temperature in Northeast(NE) China using the singular value decomposition(SVD) and empirical orthogonal function(EOF). The monthly-mean rainfall data observed at 160 stations in China, monthly-mean sea surface temperature(SST) of the Hadley Center for Climate Prediction and Research and monthly-mean air temperature from the NCEP reanalysis during 1960–2011 were used. Correlation analysis indicates that the SSTAs in the Japan Sea in September may last for three or four months and are an important index for forecasting the winter rainfall and air temperature in NE China. Positive SSTAs in the central Japan Sea and in the sea area east of Tokyo correspond to positive rainfall anomaly and negative air temperature anomaly in NE China. With the rise of SST in the Japan Sea, a weak cyclone appears over the Japan Sea. The northeasterly wind transports water vapor from the Okhotsk to NE China, resulting in more rainfall and lower air temperature. Negative SSTA years are accompanied by warmer air temperature and less snow in NE China. The 1000 h Pa geopotential height anomaly and wind anomaly fields are simulated by IAP-9L model, which supports the analysis results.展开更多
Associations between the autumn Arctic sea ice concentrations (SICs) and North American winter precipitation were examined using singular value decomposition. The results show that a reduced SIC in the majority of the...Associations between the autumn Arctic sea ice concentrations (SICs) and North American winter precipitation were examined using singular value decomposition. The results show that a reduced SIC in the majority of the Arctic is accompanied by dry conditions over the Great Plains, the southern United States, Mexico, eastern Alaska, and southeastern Greenland, and by wet conditions over the majority of Canada, the northeastern United States, and the majority of Greenland. Atmospheric circulation anomalies associated with the SIC variability show a wave train structure that is persistent from autumn to winter and is responsible for the covariability between the autumn Arctic SICs and North American winter precipitation. This relationship suggests a potential long-term outlook for the North American winter precipitation.展开更多
In this work, concentrations of radon indoor were measured at 10 locations in Al-Kufa and Al-Najaf cities, using RAD-7 radon monitoring system of Durridge Company USA. Some factors affecting on the radon factor have b...In this work, concentrations of radon indoor were measured at 10 locations in Al-Kufa and Al-Najaf cities, using RAD-7 radon monitoring system of Durridge Company USA. Some factors affecting on the radon factor have been studied such as times of day (morning, aitemoon and evening) and seasons of year (winter, spring, summer and autumn). This study show that the radon concentration indoor increases at mornings, evenings, decreases at afternoon, also increases in winter and autumn, decreases in spring and summer.展开更多
基金Supported by the National Basic Research Program of China(973 Program)(No.2011CB409804)the National Natural Science Foundation of China for Creative Research Groups(No.41121064)the Knowledge Innovation Program of China(No.KZCX2-YW-Q07-02)
文摘Abstract Picoplankton distribution was investigated in different water masses of the East China Sea in November, 2006 and February, 2007. The autumn and winter cruises crossed three major water masses: the coastal water mass (CWM), the mixed water mass (MWM), which forms on the continental shelf, and the Kuroshio water mass (KWM). Picoplankton composition was resolved into four main groups by flow cytometry, namely Synechococcus, Prochlorococcus, picoeukaryotes, and heterotrophic bacteria. The average abundances of Synechococcus, picoeukaryotes, and heterotrophic bacteria were (0.63+ 10.88)~ 103, (1.61+1.16)x103, (3.39~1.27)x105 cells/mL in autumn and (6.45~8.60)x103, (3.23~2.63)x103, (3.76~1.37)x 105 cells/mL in winter, respectively. Prochlorococcus was not found in the CWM and seldom observed in surface samples in either season. However, Prochlorococcus was observed in the MWM and KWM (approximately 103 cells/mL) in both auttman and winter. Synechococcus distribution varied considerably among water masses, with the highest levels in KWM and lowest levels in CWM. The depth-averaged integrated abundance of Synechococcus was approximately 5-fold higher in KWM than in CWM, which may be due primarily to water temperature. In the MWM, Synechococcus was resolved as two subgroups; the presence of both subgroups was more common in autumn. Picoeukaryote abundance varied less among water masses than Synechococcus, and heterotrophic bacteria depth-averaged integrated abundance exhibited the smallest seasonal variations with respect to water mass. Correlation analysis showed that relationships between picoplankton abundances and environmental factors (temperature, nutrients, and chlorophyll a) differed among the three water masses, suggesting that the three water masses have different effects on picoplankton distribution (particularly Synechococcus).
基金supported by Innovation and Research Foundation of Ocean University of China(No.201261009)the National Natural Science Foundation of China(Nos.40930844 and 10735030)the National Basic Research Program of China(the 973 Program)under grant No.2005CB422 301
文摘We studied the impact of sea surface temperature anomaly(SSTA) in the Japan Sea and the sea area east of Japan on the winter rainfall and air temperature in Northeast(NE) China using the singular value decomposition(SVD) and empirical orthogonal function(EOF). The monthly-mean rainfall data observed at 160 stations in China, monthly-mean sea surface temperature(SST) of the Hadley Center for Climate Prediction and Research and monthly-mean air temperature from the NCEP reanalysis during 1960–2011 were used. Correlation analysis indicates that the SSTAs in the Japan Sea in September may last for three or four months and are an important index for forecasting the winter rainfall and air temperature in NE China. Positive SSTAs in the central Japan Sea and in the sea area east of Tokyo correspond to positive rainfall anomaly and negative air temperature anomaly in NE China. With the rise of SST in the Japan Sea, a weak cyclone appears over the Japan Sea. The northeasterly wind transports water vapor from the Okhotsk to NE China, resulting in more rainfall and lower air temperature. Negative SSTA years are accompanied by warmer air temperature and less snow in NE China. The 1000 h Pa geopotential height anomaly and wind anomaly fields are simulated by IAP-9L model, which supports the analysis results.
基金supported by the National Basic Research Program of China (2011CB30970)the National Natural Science Foundation of China (41176169 and 40930848)
文摘Associations between the autumn Arctic sea ice concentrations (SICs) and North American winter precipitation were examined using singular value decomposition. The results show that a reduced SIC in the majority of the Arctic is accompanied by dry conditions over the Great Plains, the southern United States, Mexico, eastern Alaska, and southeastern Greenland, and by wet conditions over the majority of Canada, the northeastern United States, and the majority of Greenland. Atmospheric circulation anomalies associated with the SIC variability show a wave train structure that is persistent from autumn to winter and is responsible for the covariability between the autumn Arctic SICs and North American winter precipitation. This relationship suggests a potential long-term outlook for the North American winter precipitation.
文摘In this work, concentrations of radon indoor were measured at 10 locations in Al-Kufa and Al-Najaf cities, using RAD-7 radon monitoring system of Durridge Company USA. Some factors affecting on the radon factor have been studied such as times of day (morning, aitemoon and evening) and seasons of year (winter, spring, summer and autumn). This study show that the radon concentration indoor increases at mornings, evenings, decreases at afternoon, also increases in winter and autumn, decreases in spring and summer.