Environmental Controls on Net Ecosystem CO2 Exchange Over a Reed (Phragmites australis) Wetland in the Yellow River Delta, China

Using the Eddy Covariance (EC) technique, we analyzed temporal variation in net ecosystem CO₂ exchange (NEE) and determined the effects of environmental factors on the balance between ecosystem photosynthesis and respiration in a reed (Phragmites australis) wetland in the Yellow River Delta, China. Our results indicated that diurnal and seasonal patterns of NEE and its components (ecosystem respiration (R _eco), gross primary production (GPP)) varied markedly among months for the growing season (May to October). The cumulative CO₂ emission was 1,657 g CO₂ m^?2, while 2,612 g CO₂ m^?2 was approximately accumulated as GPP, which resulted in the reed wetland being a net sink of 956 g CO₂ m^?2. The ratio of R _eco to GPP in reed wetland was 0.68, which was close to other temperate wetlands. Soil temperature and soil moisture exerted the primary controls on R _eco during the growing season. Daytime NEE values during the growing season were strongly correlated with photosynthetically active radiation. Aboveground biomass showed significant linear relationships with 24-h average NEE, daytime GPP, and R _eco, respectively. Thus, we conclude that the coastal wetland acted as a carbon sink during the growing season despite the variations in environmental conditions, and long-term flux measurements over these ecosystems are undoubtedly necessary.     

Multivariate analysis of heavy metals in surface sediments from lower reaches of the Xiangjiang River, southern China

The concentrations of heavy metals (Cr, Mn, Co, Ni, Cu, Zn, Cd, and Pb) in 16 samples collected from the lower reach (Changsha–Xiangtan–Zhuzhou section) of the Xiangjiang River in southern China were determined by high-resolution inductively coupled plasma mass spectroscopy (HR-ICPMS). Multivariate analysis, such as principal component analysis and cluster analysis, coupled with correlation coefficient analysis, was used to analyze the analytical data and to identify possible pollution sources of heavy metals. The results showed that the eight studied heavy metals accumulated in the sediments from the lower Xiangjiang River, especially Mn, Cu, Zn, Pb and Cd, which were 2.0–2.6, 1.7–2.6, 3.5–3.8, 3.2–3.6 and 189.5–152.8 times the soil trace element background for Hunan Province and UCC background values, respectively. Principal component analysis and cluster analysis, coupled with correlation coefficient analysis, revealed that the sediments from lower Xiangjiang River were mainly influenced by two sources: Cr, Co, Ni, Cu, Zn, Cd and Pb mainly originated from industrial sources, whereas Mn was derived from both industrial and natural sources, but mainly from natural sources due to weathering and erosion.     

考虑线状环境因子适宜性和不同机器学习模型的滑坡易发性预测建模规律

对于滑坡易发性预测中的水系、公路和断层等线状环境因子,现有研究大多采用缓冲分析提取距离线状因子的距离.但缓冲分析得到的线距离属于离散型变量,带有大小不等的随机波动性且对点或线要素的误差较为敏感,导致滑坡易发性建模精度下降.提出了使用水系和公路的空间密度等连续型变量改进线状环境因子的适宜性.以江西省安远县为例,选取高程、...     

Fermi gamma-ray and multi-wave band emission from TeV active galactic nuclei

Using γ-ray data detected by Fermi Large Area Telescope (LAT) and multi-wave band data for 40 TeV active galactic nuclei (AGNs), we have studied the correlations between flux densities (F _R, F _IR, F _O, F _X and F _γ ) in the radio, infrared, optical, X-ray and γ-ray wave bands. Our results are the following: (1) For TeV HSP BL Lacertae objects (THBLs), there are strong correlations between F _γ and F _R and between F _γ and F _IR in all states (average/high/low); (2) The TeV radio galaxies (TRGs) deviate from the area occupied by THBLs; (3) The TeV flat-spectrum radio quasars (TFSRQs) have much stronger γ-ray emission than THBLs; (4) For THBLs, there are weak correlations between F _γ and F _X in all states as well as between F _γ and F _O in both average and high states, and a strong correlation between F _γ and F _O in the low state; (5) For THBLs, there are strong correlations between F _O and F _R in both low and average states as well as between F _O and F _IR in all states and between F _IR and F _R in all states, but no strong correlations among other bands are found. From these results, we suggest that for THBLs, the synchrotron self-Compton radiation (SSC) is the main mechanism of high energy γ-ray emission and the inverse Compton scattering of circum-nuclear dust is likely to be a important complementary mechanism. Compared with THBLs, TRGs and TFSRQs may have a different origin of high energy γ-ray.     

Hydromedusae from the Arctic in 2010 during the 4th Chinese National Arctic Research Expedition (CHINARE 4)

Fifty-seven stations(48 grid stations and nine stratified stations) were sampled across the study region(67.000°–88.394°N, 152.500°–178.643°W) during the 4th Chinese National Arctic Research Expedition(CHINARE 4) from July to August 2010 by the icebreaker R/V Xuelong. A total of 24 species of Hydromedusae were identified from 130 zooplankton samples, of which seven species belonged to Automedusa, eight species to Anthomedusae, four species to Leptomedudae, and three species to Siphonophora. Catablema multicirratum Kishinouye, 1910, Bougainvillia bitentaculata Uchida, 1925, and Euphysa japonica(Maas, 1909) were recorded for the first time in the Arctic sea. In the present paper, 18 species of Hydromedusae were described and illustrated, of which three species were described for the first time in the Arctic sea, and 15 species were described for the first time in China.     

A neural network method for monitoring snowstorm: A case study in southern China

It has been observed that low temperature, rainfall, snowfall, frost have never occurred over the past 50 years in the southern China, and weather in this area is very complex, so the monitoring equipments are few. Optical and thermal infrared remote sensing is influenced much by clouds, so the passive microwave Advanced Microwave Scanning Radiometer-Earth Observing System （AMSR-E） data are the best choice to monitor and analyze the development of disaster. In order to improve estimation accuracy, the dynamic learn- ing neural network was used to retrieve snow depth. The difference of brightness temperatures of TB18.7v and TB36.sv, TBI8.7H and TB36.sH, TB23,sv and TB89v, TBz3.8H and TB89H are made as four main input nodes and the snow depth is the only one output node of neural network. The mean and the standard deviation of retrieval errors are about 4.8 cm and 6.7 cm relative to the test data of ground measurements. The application analysis indicated that the neural network can be utilized to monitor the change of snow intensity distribution through passive microwave data in the complex weather of the southern China.     

A two-parameter exponential recession model for simulating cropland soil moisture dynamics

To simulate the soil moisture variation in cropland, a two-parameter exponential recession model was derived to depict the recession process of soil moisture in the root zone. The model is based on the assumption that the recession rate of soil water is propor- tional to the potential evapotranspiration rate and the difference of soil water content and steady soil water content. Two parameters in this model are soil texture-dependent recession constant and steady soil water content. The model was calibrated and validated with measured soil water data at two experiment sites in North China with different soil textures and cropping systems. Coefficients of de- termination between measured and model simulated soil water content were all greater than 0.7, indicating that both models gave satis- factory simulation results. Results showed that values of two parameters mentioned above are both larger for finer soil than those for coarser soil. At the same potential evapotranspiration rate and soil water content, the recession rate of finer soil is usually lower than that of coarser soil. The proposed model can be used in irrigation management to predict approximate date for irrigation, as well as be em- bedded into watershed hydrological models to estimate the antecedent precipitation index.     

Simulation and causes of eastern Antarctica surface cooling related to ozone depletion during austral summer in FGOALS-s2

Two parallel sets of numerical experiments （an ozone-hole simulation and a non-ozone-hole simulation） were performed to investigate the effect of ozone depletion on surface temperature change using the second spectral version of the Flexible Global Ocean-Atmosphere-Land System model （FGOALS-s2）, focusing on the eastern Antarctica （EA） continent in austral summer. First, we evaluated the ability of the model to simulate the EA surface cooling, and found the model can successfully reproduce the cooling trend of the EA surface, as well as the circulation change circling the South Pole in the past 30 years. Second, we compared the two experiments and discovered that the ozone depletion causes the cooling trend and strengthens the circumpolar westerly flow. We further investigated the causes of the EA surface cooling associated with the ozone hole and found two major contributors. The first is the ozone-hole direct radiation effect （DRE） upon the surface that happens because the decrease of the downward longwave （LW） radiation overcomes the increase of the downward shortwave （SW） radiation under clear sky. The second is the cloud radiation effect （CRE） induced by ozone depletion, which happens because the decreased downward SW radiation overcomes the increased downward LW radiation in the case of increased cloud. Although the CRE is theoretically opposite to the DRE, their final net effect makes comparable contributions to the EA surface cooling. Compared with the surface radiation budget, the surface heat flux budgets have a much smaller contribution. We additionally note that the CRE is basically ascribed to the circulation change.     

基于罗德里格矩阵的混合最小二乘方法在三维激光中的应用

介绍了基于罗德里格矩阵的混合最小二乘坐标转换模型及精度,通过三维激光点云配准与坐标转换实验的结果表明,基于罗德里格矩阵的混合最小二乘方法的效果及精度明显高于基于罗德里格矩阵的最小二乘方法,说明该方法的可行性。     

五种中草药复方体外激活花鳗鲡(Anguilla marmorata)外周血白细胞活性的评价

作为典型的降河洄游鱼类,花鳗鲡(Anguilla marmorata)在我国主要分布于长江下游及以南水域。中草药作为抗生素等化学类渔药的绿色替代品,对养殖鱼类具有抗菌、消炎、促生长等多种功效。为研究中草药复方在花鳗鲡病害防治中的作用,扩大水产养殖业渔药研制与应用的选择,采用非连续性密度梯度离心法对花鳗鲡外周血白细胞的分离体系进行了优化,试验设置了密度分别为1.031、1.043、1.056、1.067、1.090 g/mL的五种分离液,分别采用染色观察法和流式细胞术检测各分离液中白细胞浓度;以浓度1.0mg/mL的五种复方药液分别与10⁵cell/mL的白细胞悬液共孵育2h后,分别采用NBT法和流式细胞术测定白细胞的呼吸暴发活性和吞噬能力,评价五种中草药复方(多糖复方Dt,白头翁复方Btw,板蓝根复方Blg,大黄复方Dh,百里酚复方Blf)对花鳗鲡外周血白细胞的激活作用。结果显示:1.043g/mL和1.056g/mL的分离液所分离获得白细胞浓度均接近10⁵cell/mL,可在后续实验中叠加使用该两个浓度的分离液分离获得白细胞;流式细胞术检测白细胞浓度比染色观察法更为灵敏准确;5种复方均能显著提高花鳗鲡外周血白细胞的呼吸暴发活性(P<0.05),大小依次为Blg>Dt>Btw>Blf>Dh;Dt和Blg能显著提高白细胞吞噬率(P<0.05),Btw、Blf、Dh也能提高白细胞吞噬率,但差异不显著(P>0.05);5种复方对发生吞噬白细胞比率的影响差异不显著(P>0.05)。