The Experts below are selected from a list of 66747 Experts worldwide ranked by ideXlab platform
Chunmao Tseng - One of the best experts on this subject based on the ideXlab platform.
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a unique Seasonal Pattern in dissolved elemental mercury in the south china sea a tropical and monsoon dominated marginal sea
Geophysical Research Letters, 2013Co-Authors: Chunmao Tseng, Carl H Lamborg, Shihchieh HsuAbstract:[1] A unique Seasonal Pattern in dissolved elemental mercury (DEM) was observed in the tropical monsoon-dominated South China Sea (SCS). The DEM concentration varied Seasonally, with a high in summer of 160 ± 40 fM (net evasion 580 ± 120 pmol m−2 d−1, n = 4) and a low in winter of 60 ± 30 fM (net invasion −180 ± 110, n = 4) and showed a positive correlation with sea surface temperature (SST). The elevated DEM concentration in summer appears mainly abiologically driven. In winter, the SCS acts as a sink of atmosphere Hg0 as a result of low SST and high wind of the year, enhanced vertical mixing, and elevated atmospheric gaseous elemental mercury. Annually, the SCS serves as a source of Hg0 to the atmosphere of 300 ± 50 pmol m−2 d−1 (385 ± 64 kmol Hg yr−1, ~2.6% of global emission in ~1% of global ocean area), suggesting high regional Hg pollution impacts from the surrounding Mainland (mostly China).
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a unique Seasonal Pattern in phytoplankton biomass in low latitude waters in the south china sea
Geophysical Research Letters, 2005Co-Authors: Chunmao Tseng, George T F Wong, I I Lin, Konkee LiuAbstract:elevated to 0.3 mg/m 3 , 35 mg/m 2 and 300 mg-C/m 2 /d, respectively, in the winter but stayed low, at 0.1 mg/m 3 , 15 mg/m 2 and 110 mg-C/m 2 /d as commonly found in other low latitude waters, in the rest of the year. Concomitantly, soluble reactive phosphate and nitrate+nitrite in the mixed layer also became readily detectable in the winter. The elevationofphytoplanktonbiomasscoincidedapproximately with the lowest sea surface temperature and the highest wind speed in the year. Only the combined effect of convective overturn by surface cooling and wind-induced mixing could have enhanced vertical mixing sufficiently to make the nutrients in the upper nutricline available for photosynthetic activities and accounted for the higher biomass in the winter. Citation: Tseng, C.-M., G. T. F. Wong, I.-I. Lin, C.-R. Wu, and K.-K. Liu (2005), A unique Seasonal Pattern in phytoplankton biomass in low-latitude waters in the South China Sea, Geophys. Res. Lett., 32, L08608, doi:10.1029/2004GL022111.
Shihchieh Hsu - One of the best experts on this subject based on the ideXlab platform.
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a unique Seasonal Pattern in dissolved elemental mercury in the south china sea a tropical and monsoon dominated marginal sea
Geophysical Research Letters, 2013Co-Authors: Chunmao Tseng, Carl H Lamborg, Shihchieh HsuAbstract:[1] A unique Seasonal Pattern in dissolved elemental mercury (DEM) was observed in the tropical monsoon-dominated South China Sea (SCS). The DEM concentration varied Seasonally, with a high in summer of 160 ± 40 fM (net evasion 580 ± 120 pmol m−2 d−1, n = 4) and a low in winter of 60 ± 30 fM (net invasion −180 ± 110, n = 4) and showed a positive correlation with sea surface temperature (SST). The elevated DEM concentration in summer appears mainly abiologically driven. In winter, the SCS acts as a sink of atmosphere Hg0 as a result of low SST and high wind of the year, enhanced vertical mixing, and elevated atmospheric gaseous elemental mercury. Annually, the SCS serves as a source of Hg0 to the atmosphere of 300 ± 50 pmol m−2 d−1 (385 ± 64 kmol Hg yr−1, ~2.6% of global emission in ~1% of global ocean area), suggesting high regional Hg pollution impacts from the surrounding Mainland (mostly China).
Konkee Liu - One of the best experts on this subject based on the ideXlab platform.
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a unique Seasonal Pattern in phytoplankton biomass in low latitude waters in the south china sea
Geophysical Research Letters, 2005Co-Authors: Chunmao Tseng, George T F Wong, I I Lin, Konkee LiuAbstract:elevated to 0.3 mg/m 3 , 35 mg/m 2 and 300 mg-C/m 2 /d, respectively, in the winter but stayed low, at 0.1 mg/m 3 , 15 mg/m 2 and 110 mg-C/m 2 /d as commonly found in other low latitude waters, in the rest of the year. Concomitantly, soluble reactive phosphate and nitrate+nitrite in the mixed layer also became readily detectable in the winter. The elevationofphytoplanktonbiomasscoincidedapproximately with the lowest sea surface temperature and the highest wind speed in the year. Only the combined effect of convective overturn by surface cooling and wind-induced mixing could have enhanced vertical mixing sufficiently to make the nutrients in the upper nutricline available for photosynthetic activities and accounted for the higher biomass in the winter. Citation: Tseng, C.-M., G. T. F. Wong, I.-I. Lin, C.-R. Wu, and K.-K. Liu (2005), A unique Seasonal Pattern in phytoplankton biomass in low-latitude waters in the South China Sea, Geophys. Res. Lett., 32, L08608, doi:10.1029/2004GL022111.
Yuanming Zhang - One of the best experts on this subject based on the ideXlab platform.
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Seasonal Pattern of soil respiration and gradual changing effects of nitrogen addition in a soil of the gurbantunggut desert northwestern china
Atmospheric Environment, 2014Co-Authors: Xiaobing Zhou, Yuanming ZhangAbstract:Evaluating the responses of soil respiration in desert ecosystems to varying rates of added N is of great significance for understanding their carbon (C) budgets under increasing nitrogen (N) deposition. In this study, the diel and Seasonal Patterns of soil respiration through out the growing season were examined over a three-year period after adding a gradient of N to soil in the Gurbantunggut Desert. N was added at five rates: 0.5, 1.0, 3.0, 6.0 and 24.0 g N m−2 y−1 (denoted as N0.5, N1, N3, N6 and N24, respectively), plus a control without N addition: N0. Soil respiration showed both a distinct diel and Seasonal dynamics. Soil temperature was the dominant factor influencing diel changes in soil respiration. High summer temperatures could reduce soil respiration due to the probable decrease of microbial respiration. Soil moisture was the driving factor that affected the soil respiration Seasonal Pattern. Precipitation pulses elicited an intense CO2 release after the pulse ceased. Although soil respiration showed an increase with enhancing N rates in the first year, the positive effects of N24 treatments weakened in the second year and became negative, and effectively toxic in the third. The total carbon production in the growing seasons among different N treatments in 2010 and 2011 also followed this model. In addition, soil respiration was also consistent with fine root biomass in the growing seasons. The results indicated that as soil temperature interacted with soil moisture, it affected temporal changes in the soil surface C flux and C sequestration, with C sequestration being affected differently based on the rate of N added and number of exposed years.
Y K Malaiya - One of the best experts on this subject based on the ideXlab platform.
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Seasonality in vulnerability discovery in major software systems
International Symposium on Software Reliability Engineering, 2008Co-Authors: Y K MalaiyaAbstract:Prediction of vulnerability discovery rates can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. An examination of the vulnerability data suggests a Seasonal behavior that has not been modeled by the recently proposed vulnerability discovery models. This Seasonality has not been identified or examined so far. This study examines whether vulnerability discovery rates for Windows NT, IIS Server and the Internet Explorer exhibit a significant annual Seasonal Pattern. Actual data has been analyzed using Seasonal index and auto correlation function approaches to identify Seasonality and to evaluate its statistical significance. The results for the three software systems show that there is indeed a significant annual Seasonal Pattern.
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fast abstract Seasonality in vulnerability discovery in major software systems
2008Co-Authors: Y K MalaiyaAbstract:Prediction of vulnerability discovery rates can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. An examination of the vulnerability data suggests a Seasonal behavior that has not been modeled by the recently proposed vulnerability discovery models. This Seasonality has not been identified or examined so far. This study examines whether vulnerability discovery rates for Windows NT, IIS Server and the Internet Explorer exhibit a significant annual Seasonal Pattern. Actual data has been analyzed using Seasonal index and autocorrelation function approaches to identify Seasonality and to evaluate its statistical significance. The results for the three software systems show that there is indeed a significant annual Seasonal Pattern.
