汞矿区稻田土壤汞形态分布特征及对甲基化的影响

汞污染区稻米甲基汞超标现象普遍存在,汞在土壤中的形态分布被认为是影响甲基化过程的重要因素之一.本研究选取贵州省万山废弃汞矿区和土法炼汞区为研究区域,在水稻生长期间对稻田土壤剖面中总汞、甲基汞及形态汞进行测定,结合土壤环境因子指标,讨论土壤汞形态分布特征对甲基化的影响.研究表明,汞矿区稻田土壤中总汞和甲基汞均表现出随土壤...     

东太湖浮游植物与浮游动物群落的嵌套性及其互作网络的季节特征

浮游生物主要由浮游植物和浮游动物组成,是湖泊生态系统的重要组分.嵌套性结构及物种间的互作关系对群落的分布格局、功能乃至稳定性都具有重要意义,然而到目前为止,我们对此仍知之甚少.为此,本研究以东太湖为研究区域,在2019-2020年期间进行了春、夏、秋、冬季的观测调查,根据浮游生物群落的组成和多样性特征,结合群落分布矩阵和二分网模型研究浮游生物的嵌套性格局及其互作关系,并探讨其驱动机制.结果显示:(1)在时间上,春、秋、冬季水体的理化特征较为相似,但与夏季的水质差异显著.在空间上,西南部区域的综合污染指数显著高于东北部;(2)环境异质性使得浮游植物呈现出明显的嵌套性分布,即秋、冬季群落是春、夏季群落的子集.然而,浮游动物并未呈现该分布特征;(3)浮游生物的互作关系具有明显的季节特征:冬季的互作网络组成最简单,物种竞争最激烈,物种的特异性关系、物种脆弱性和一般性最小,说明浮游生物群落的稳定性在冬季最弱.综上所述,水环境的时空差异性造成的生态位分离可能是造成浮游生物嵌套性及其互作网络季节性变化的主要机制.     

云南热区≥10℃和≥18℃年积温及日数的分布规律研究

云南热区以其独特的自然地理条件,在我国热区的研究与开发中占有极其重要的地位。利用云南实测地面气温资料等,采用线性回归及残差分析等分析方法,分析了云南热区森林生态系统≥10℃积温及其日数、≥18℃积温等热量指标在不同地区的空间分布规律及原因。结果表明,云南热区不同区域≥10℃积温及其日数、≥18℃积温等热量指标都有明显的空间差异。根据这些划分热量带的基本指标,以及热区分布县市的最低海拔和增温或降温的效应,对其热区分布的海拔上限进行了估测,为准确确定云南热区分布的空间格局及各县市热带和南亚热带的热区范围及热区的主要特性提供了依据。     

复杂地形城市冬季边界层气溶胶扩散和分布模拟

着眼于城市冬季气溶胶扩散特征问题,针对地形复杂的兰州市及周边地区,开发了WRF模式,使之与包含了大气气溶胶辐射效应和气溶胶粒子扩散的综合大气边界层数值模式嵌套,以模拟城市冬季边界层气溶胶的扩散和分布规律。通过一个个例的模拟结果分析,揭示了兰州冬季气溶胶的扩散分布的如下特征;市区盆地内100 m以下存在东、西两个浓度高值中心,中心值为0.6~3.0 mg.m-3,往上浓度递减,1000 m高度处仅为0.02 mg.m-3。受排放源强、源高、气象场等因素的共同影响,白天盆地内气溶胶浓度随高度和时间的变化强烈,白天浓度随时间最大变化幅度为1.0 mg.m-3。气溶胶输送扩散高度可达到600~800 m,此高度以上浓度值很小。代表性测点上模拟的气溶胶浓度廓线表明,中午浓度达到最高,垂直扩散最强。这些结果与以往的烟雾层高度观测和气溶胶光学厚度观测结果吻合。夜间,盆地内气溶胶浓度随高度和时间的变化减弱,气溶胶输送扩散高度在400~500m,夜间浓度随时间变化平均幅度为0.05 mg.m-3。     

GIS技术在提取贵州省万亩大坝边界数据中的应用

贵州省是中国唯一没有平原支撑的山地农业省,全省稳定的粮食产区主要是分布于山间少量的相对平坦、集中连片的"坝子"上.因此,利用地理信息系统软件ARCview提取和计算贵州省47个万亩大坝区域及边界数据,生成"贵州省万亩大坝区域及边界数据图层集",对以多云天气为主的粮食产区的植被动态及关键期遥感监测的业务提供了有效的帮助.     

Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region

The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model.     

Trophic modeling of the Northern Humboldt Current Ecosystem, Part II: Elucidating ecosystem dynamics from 1995 to 2004 with a focus on the impact of ENSO

The Northern Humboldt Current Ecosystem is one of the most productive in the world in terms of fish production. Its location near to the equator permits strong upwelling under relatively low winds, thus creating optimal conditions for the development of plankton communities. These communities ultimately support abundant populations of grazing fish such as the Peruvian anchoveta, Engraulis ringens. The ecosystem is also subject to strong inter-annual environmental variability associated with the El Niño Southern Oscillation (ENSO), which has major effects on nutrient structure, primary production, and higher trophic levels. Here our objective is to model the contributions of several external drivers (i.e. reconstructed phytoplankton changes, fish immigration, and fishing rate) and internal control mechanisms (i.e. predator-prey) to ecosystem dynamics over an ENSO cycle. Steady-state models and time-series data from the Instituto del Mar del Perú (IMARPE) from 1995 to 2004 provide the base data for simulations conducted with the program Ecopath with Ecosim. In simulations all three external drivers contribute to ecosystem dynamics. Changes in phytoplankton quantity and composition (i.e. contribution of diatoms and dino- and silicoflagellates), as affected by upwelling intensity, were important in dynamics of the El Niño of 1997–98 and the subsequent 3 years. The expansion and immigration of mesopelagic fish populations during El Niño was important for dynamics in following years. Fishing rate changes were the most important of the three external drivers tested, helping to explain observed dynamics throughout the modeled period, and particularly during the post-El Niño period. Internal control settings show a mix of predator–prey control settings; however a “wasp-waist” control of the ecosystem by small pelagic fish is not supported.     

The ignored but common nemertine Psammamphiporus elongatus from the Galician beaches (Spain), affected by the Prestige oil spill

Nemerteans have been recorded in several studies of the sandy beaches, but usually these specimens have been only regarded as members of the Phylum, with no attempt at identification at any taxonomic level. This lack of identification is partly because of the sampling procedures used to collect beach macroinfauna. Nemerteans are fragile and need special care. They must be isolated and observed in vivo before using histological procedures, which must be employed for the taxonomical studies. This study deals with a sandy beach hoplonemertean, Psammamphiporus elongatus ( Stephenson 1911 ), only known for seven specimens from the Firth of Clyde (UK). This species is recorded for the first time from the Galician sandy beaches (NW Spain) where it reaches its maximum abundance. The species is described and illustrated and new data on its morphology and ecology are provided. The species was apparently affected by the 'Prestige' oil spill, and would be a good indicator of beach quality.     

Crystallographic and NMR studies on sterols from green alga Chaetomorpha basiretorsa Setchell

Chemical investigation of the ethanol extract of the marine green alga Chaetomorpha basiretorsa Setchell led to the isolation of a new sterol stigmast-4,28-dien-3α,6β-diol 1 in addition to the five known sterols of β-lawsaritol 2, saringosterol 3, 24-hydroperoxy-24-vinyl - cholesterol 4, β-stigmasterol 5, 29-hydroxystigmasta-5, 24 （28） -dien-3β-ol 6. Compounds were isolated by normal phase silica gel and Sephadex LH - 20 gel colum chromatography, reverse phase HPLC and recrystalization. Their structures were elucidated by spectroscopic methods including MS, IR 1D/2D NMR and X-ray analysis. Cytotoxicity of compounds was screened by using the standard MTF method. All these compounds were isolated from the green alga Chaetomorpha basiretorsa Setchell for the first time and they were inactive （50% inhibitory concentration was greater than 10 μg/cm^3） against KB, Bel -7402, PC - 3M, Ketr 3 and MCF-7 cell lines.     

Dissolved inorganic carbon (DIC) and its carbon isotopic composition in sediment pore waters from the Shenhu area,northern South China Sea

The Shenhu area is one of the most favorable places for the occurrence of gas hydrates in the northern continental slope of the South China Sea. Pore water samples were collected in two piston cores (SH-A and SH-B) from this area, and the concentrations of sulfate and dissolved inorganic carbon (DIC) and its carbon isotopic composition were measured. The data revealed large DIC variations and very negative δ ¹³C-DIC values. Two reaction zones, 0–3 mbsf and below 3 mbsf, are identified in the sediment system. At site SH-A, the upper zone (0–3 mbsf) shows relatively constant sulfate and DIC concentrations and δ ¹³C-DIC values, possibly due to bioturbation and fluid advection. The lower zone (below 3 mbsf) displays good linear gradients for sulfate and DIC concentrations, and δ ¹³C-DIC values. At site SH-B, both zones show linear gradients, but the decreasing gradients for δ ¹³C-DIC and SO₄ ²⁻ in the lower zone below 3 mbsf are greater than those from the upper zone, 0–3 mbsf. The calculated sulfate-methane interface (SMI) depths of the two cores are 10.0 m and 11.1 m, respectively. The depth profiles of both DIC and δ ¹³C-DIC showed similar characteristics as those in other gas hydrate locations in the world oceans, such as the Blake Ridge. Overall, our results indicate an anaerobic methane oxidation (AMO) process in the sediments with large methane flux from depth in the studied area, which might be linked to the formation of gas hydrates in this area.