THE SIMULATION OF THE SAR IMAGE OF INTERNAL SOLITARY WAVES IN ALBORAN SEA

1 .　ＩＮＴＲＯＤＵＣＴＩＯＮＯｃｅａｎｉｎｔｅｒｎａｌｗａｖｅｉｓａｋｉｎｄｏｆｇｒａｖｉｔｙｗａｖｅｇｅｎｅｒａｔｅｄｉｎｔｈｅｓｔｒａｔｉｆｉｅｄｏｃｅａｎ .Ｉｔｐｒｏｄｕｃｅｂｙｔｈｅｉｎｔｅｒａｃｔｉｏｎｏｆｔｉｄｅｃｕｒｒｅｎｔａｎｄｔｏｐｏｇｒａｐｈｙ ,ｓｅａｑｕａｋｅａｎｄｍｏｖｉｎｇｓｈｉｐｗｈｅｎｔｈｅｓｔｒｏｎｇ ,ｓｈａｌｌｏｗｐｙｃｎｏｃｌｉｎｅｉｓ ｐｒｅｓｅｎｔ.Ｔｈｅｉｎｔｅｒｎａｌｗａｖｅｓｉｎｔｈｅｃｏｎｔｉｎｅｎｔａｌｓｈｅｌｆａｒｅａｌｍｏｓｔｔｉｄｅｐｒｏｄ…     

AN EXTENDED MODELING OF TIDE-WAVE MOTION

1 .　ＩＮＴＲＯＤＵＣＴＩＯＮＴｏｓｔｕｄｙｔｈｅｍｏｔｉｏｎｏｆｔｈｅｔｉｄｅ ｗａｖｅｓ,ｔｈｅｓｈａｌｌｏｗｗａｔｅｒｅｑｕａｔｉｏｎｓ ,ｉ.ｅ .ｔｈｅｖｅｒｔｉｃａｌｉｎｔｅｒｇｒａ ｔｉｏｎｏｆｔｈｅｃｏｎｔｉｎｕｉｔｙｅｑｕａｔｉｏｎａｎｄｍｏｍｅｎｔｕｍｅｑｕａ ｔｉｏｎ ,ｉｓｃｏｎｓｉｄｅｒｅｄａｓｔｈｅｇｏｖｅｒｎｉｎｇｅｑｕａｔｉｏｎｓ.Ｂｙａｂｏｖｅｅｑｕａｔｉｏｎｓｔｗｏｅｑｕａｔｉｏｎｓｒｅｌａｔｅｄｔｏｔｈｅｈｏｒｉｚｏｎ ｔａｌｆｌｕｘｏｆｔｈｅｔｉｄｅ ｃｕｒｒｅｎｔｓａ…     

GENERATION OF NONLINEAR INTERNAL WAVES ON CONTINENTAL SHELF

1 .　ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｔｅｒｎａｌｔｉｄａｌｉｎｔｅｒａｃｔｉｏｎｗｉｔｈｂｏｔｔｏｍｆｅａｔｕｒｅｓａｐｐｅａｒｓｔｏｂｅｔｈｅｄｏｍｉｎａｎｔｍｅｃｈａｎｉｓｍｆｏｒｇｅｎｅｒａ ｔｉｏｎｏｆｔｈｅｃｏｈｅｒｅｎｔｏｃｅａｎｉｃｉｎｔｅｒｎａｌｗａｖｅｓｔｈａｔａｒｅｏｂｓｅｒｖａｂｌｅｗｉｔｈＳＡＲ ,ｃｌｏｓｅｒｔｏｓｈｏｒｅ ,ｒｉｖｅｒｉｎｅｏｒｇｌａｃｉａｌｉｎｔｒｕｓｉｏｎａｎｄｃｏｎｔｉｎｅｎｔａｌｂｒｅａｋｐｒｏｖｉｄｅｓｅｃ ｏｎｄａｒｙｇｅｎｅｒａｔｉｎｇｍｅｃｈａ…     

A model for heap bioleaching of chalcocite with heat balance: Mesophiles and moderate thermophiles

The interaction of mesophiles and moderate thermophiles (MT) in a 3-phase computational fluid dynamics model for heap bioleaching of chalcocite is investigated. The model assumes that both bacterial types undergo the same death, attachment and detachment processes, with different growth rate temperature dependency. The model allows an investigation of how the bacterial types vary in space and time as the conditions (such as the temperature) in the heap change. The model results are compared to the case with a single bacterial type (mesophiles) from previous work, showing that the bottom-up and top-down leaching fronts which develop in that case are also present here. The bottom-up leaching front is found to move faster than in the case with only mesophiles, and the leaching front from the top-down is slower here. Both these effects are due to the high temperature gradient in the heap (due to MT), and higher associated evaporation and condensation (and associated release or consumption of latent heat) across the respective leaching fronts. The addition of MT allows a longer period before overheating occurs, so that there is more leaching in the initial stage. The ambient temperature and inoculation method were varied to show the impact on leaching.     

Seasonal variation in light penetration and subsurface chlorophyll-α in southern Lake Michigan observed by a glider

The Cooperative Institute for Great Lakes Research (CIGLR) in collaboration with the Great Lakes Observing System and National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory (NOAA GLERL) deployed an autonomous underwater glider in southern Lake Michigan several times per year between 2012 and 2019 to collect offshore (>30 m depth) limnological measurements, including temperature, photosynthetically active radiation (beginning during 2015), and chlorophyll-α fluorescence. From these data, we calculated mixed layer depth, several measures of light penetration (diffuse attenuation coefficient, first optical depth, euphotic zone depth), and depth of the subsurface chlorophyll-α maxima. During summer, mean offshore mixed layer depth was typically 10–15 m, K_d for PAR was 0.1–0.17 m^?1, first optical depth was 6–9 m, euphotic zone depth was 35–40 m, and depth of subsurface chlorophyll-α maxima was 30–35 m. We also observed substantial spatial and temporal variation in these values across the basin and within and among seasons. Glider-based observations provide a wider horizontal and vertical perspective than other methods (e.g., ship- and satellite-based observations, buoys, and fixed moorings), and are therefore a valuable, complementary tool for Great Lakes limnology. The set of observations reported here provide seasonal and basin-scale information that may help to identify anomalies useful for future glider-assisted investigation into the role of biophysical processes in Great Lakes limnology and ecology.     

Genome-wide genetic diversity may help identify fine-scale genetic structure among lake whitefish spawning groups in Lake Erie

In Lake Erie, lake whitefish Coregonus clupeaformis supported lucrative fisheries before populations were decimated by overfishing and water quality degradation. In recent years, there has been a renewed interest in lake whitefish and management of the fishery they support. Lake whitefish spawn on several reefs throughout Lake Erie, but the relative recruitment dynamics and contributions of spawning groups to the fishery are not well understood. Modern high-throughput sequencing approaches offer new opportunities to census population diversity and to identify subtle differences among closely related populations. We used high-throughput sequencing data to evaluate the genetic structure and diversity of lake whitefish collected opportunistically across broad spatial scales in Lake Erie. Using RAD-capture (Rapture), we sequenced and genotyped individuals (N = 88) from the west, central, and east basin of Lake Erie at 120,268 single nucleotide polymorphisms (SNPs). Lake whitefish from Niagara and Crib Reefs (west basin) diverged from the three collections. Interestingly, these were the only lake whitefish collected during the act of spawning (late November), and all other fish were collected pre-spawn (August-early November). These results suggest that some lake whitefish spawning reefs may be reproductively isolated, though definition of these groups into stocks will require more intentional sampling during the act of spawning.     

MODIS数据Bowtie效应消除算法

MODIS数据不仅具有较高的过境频率和光谱分辨率,还具有成本低、覆盖面广等优势。受地球曲率的影响,MODIS L1B数据大多存在一种重叠效应,即Bowtie效应,主要发生在图像的边缘地带,该效应制约了MODIS遥感数据的进一步分析及应用。针对遥感影像几何畸变问题,提出一种不基于传统星历表的Bowtie效应消除算法,采用相关系数法确定每个扫描带的重复行数,根据不同分辨率的MODIS L1B数据,使用相对应的重采样方法对图像进行重采样处理。通过与其他Bowtie效应消除算法的对比实验及分析,证明该算法不仅能够有效去除Bowtie效应,而且执行速度较快,具有较高的工程应用价值。     

The implications of serial correlation and time-lag effects for the impact study of climate change on vegetation dynamics – a case study with Hulunber meadow steppe,Inner Mongolia

Ecological time series data are widely used in ecological research thanks to the development of remote-sensing technologies and fixed ecological research stations. However, the serial correlation issue with time series, which violates the fundamental assumption of independence for traditional statistical models or analysis, is rarely considered by ecologists in vegetation–climate relationship research. In addition, the issue of time lags between climate change and vegetation response is also often ignored. Inadequate consideration of these issues produces misleading results in some cases. In this article, we propose an approach based on the Autoregressive Integrated Moving Average (ARIMA) model and the nonparametric test to address serial correlation issue and distribution requirements for the valid statistical analysis of time series data. With Hulunber meadow steppe as a case, we applied this approach to analyse the role of climate factors in vegetation dynamics based on leaf area index (LAI) data and climatic data. The results showed that the LAI dynamics of Hulunber meadow steppe were mainly related to temperature with the time lag of zero, whereas the impact of precipitation on LAI dynamics was not statistically obvious. The comparison of regression models that deal with serial correlation and residual normality to different extents showed that ignoring the serial correlation issue with time series data likely produces misleading results, highlighting the importance of serial correlation removal. The combination of nonparametric correlation tests with ARIMA-based cross-correlation analysis also proved quite useful in reducing the chance of spurious correlation and time lags resulting from outlier values in ARIMA-based cross-correlation.     

HY-2高度计海况偏差非参数估计模型研究

基于HY-2高度计数据,采用局部线性回归非参数估计方法,利用球谐核函数及局部可调带宽,对70和71周期的交叉点进行海况偏差非参数估计。依据解释方差、海况偏差与有效波高及风速的相关度和模型残差分析,检验评价模型。与相同数据集下的参数模型估计结果进行了分析比对,结果表明:所选定的非参数模型的海况偏差与有效波高和风速的相关度均处于较高水平,说明模型更为有效。在不同纬度段,非参数模型和参数模型各有所长,在北半球高纬度区域,非参数模型表现更优。