Aerosol Composition Change due to Dust Storm: Measurements between 1992 and 1999 at Gosan,Korea

Aerosol composition change between dust storm and non duststorm periods is studied using the TSP (Total SuspendedParticulate) data measured at Gosan, Korea between 1992 and1999. The concentrations of elements measured between 1993and 1996 and those of ions between 1992 and 1999 duringdust storms are compared with those during non-dust stormperiods in spring (March, April, and May). Among theanalyzed ions, the concentrations of crustal species(potassium, calcium, magnesium, and chloride) andanthropogenic species (nitrate and non-sea salt (nss)-sulfate) increased when dust storm occurs while those ofammonium and sodium did not increase. Among the analyzedelements, the concentrations of crustal species (Fe, Al,Ca, Ti, and Zn) increased when dust storm occurs whilethose of anthropogenic species (Mn, V, Ni, Cu, Cd, and Cr)did not increase. The only anthropogenic element of whichconcentration increased during dust storm periods was Pb.It was found that the concentrations of nitrate and nss-sulfatewere highest during spring. Also, the ratio of theyearly average concentrations of nitrate to nss-sulfateincreases, probably due to the emission trend change innortheast Asia, especially, in China.     

Comparative Analysis of Viral Concentration Methods for Detecting the HAV Genome Using Real-Time RT-PCR Amplification

Hepatitis A is a major infectious disease epidemiologically associated with foodborne and waterborne outbreaks. Molecular detection using real-time RT-PCR to detect the hepatitis A virus (HAV) in contaminated vegetables can be hindered by low-virus recoveries during the concentration process and by natural PCR inhibitors in vegetables. This study evaluated three virus concentration methods from vegetables: polyethylene glycol (PEG) precipitation, ultrafiltration (UF), and immunomagnetic separation (IMS). UF was the most efficient concentration method, while PEG and IMS were very low for the recovery rate of HAV. These results demonstrate that UF is the most appropriate method for recovering HAV from contaminated vegetables and that this method combined with the real-time RT-PCR assay may be suitable for routine laboratory use.     

内陆排污对杭州湾南岸滩涂湿地浮游桡足类群落结构的影响

2010年1月～2011年1月,在杭州湾南岸滩涂湿地5个断面(S1～S3为排水区,S4～S5为非排水区。)10个采样站进行桡足类群落结构的周年调查,分析了不同生态环境下桡足类群落的种类组成、密度、生物量和种类丰富度等时空变化特征。共发现桡足类19种,剑水蚤和猛水蚤各7种、哲水蚤5种,其中,8种为淡水种,11种为咸淡水种。根据种群的年平均密度和出现频度,淡水种类的优势种为汤匙华哲水蚤(Sinocalanus dorrii)、台湾温剑水蚤(Thermocyclops taihokuensis)和三角大吉猛水蚤(Tachidius triangularis),半咸淡水种类的优势种为中华哲水蚤(Calanus sinicus)和球状许水蚤(Schmackeria forbesi)。群落年平均密度变幅2.64～39.16/L,平均13.54/L;生物量0～2.078 mg/L,平均0.164 mg/L。哲水蚤的群落密度和生物量分别占总桡足类的29.32%和79.88%。密度季节变化以春季>秋季>夏季>冬季,水平变化以S3>S2>S1>S5>S4,S2断面中潮位比高潮位多67.00%。Margalef种类丰富度在1.20～6.20,平均3.35。污对中潮位桡足类群落的影响大于高潮位。     

城市园林植物生态功能及其评价与优化研究进展

城市当前面临着越来越严重的环境问题.园林植物因其碳氧平衡、蒸腾吸热、吸污滞尘、减菌减噪、涵养水源、土壤活化和养分循环、维持生物多样性、景观功能、防灾减灾等生态功能在缓解城市环境压力方面起着至关重要的作用.为了使城市园林植物生态功能最大限度地发挥和城市生态环境得到较大改观,综述了国内外在城市园林植物生态功能及其评价与优化等方面的最新研究成果,分析研究中存在的不足之处.     

Have a correct understanding of the attribute of geologicenvironment give full play to the role ofgeoscience in environmental protection

ＨａｖｅａｃｏｒｒｅｃｔｕｎｄｅｒｓｔａｎｄｉｎｇｏｆｔｈｅａｔｔｒｉｂｕｔｅｏｆｇｅｏｌｏｇｉｃｅｎｖｉｒｏｎｍｅｎｔｇｉｖｅｆｕｌｌｐｌａｙｔｏｔｈｅｒｏｌｅｏｆｇｅｏｓｃｉｅｎｃｅｉｎｅｎｖｉｒｏｎｍｅｎｔａｌｐｒｏｔｅｃｔｉｏｎＨａＣｈｅｎｇ...     

A river water quality management model for optimising regional wastewater treatment using a genetic algorithm

To achieve water quality goals and wastewater treatment cost optimisation in a river basin, a water quality management model has been developed through the integration of a genetic algorithm (GA) and a mathematical water quality model. The developed model has been applied to the Youngsan River, where water quality has decreased due to heavy pollutant loads from Kwangju City and surrounding areas. Pollution source, land use, geographic features and measured water quality data of the river basin were incorporated into the Arc/View geographic information system database. With the database, the management model calculated treatment type and treatment cost for each wastewater treatment plant in the river basin. Until now, wastewater treatment policy for polluted rivers in Korea has been, first of all, to construct secondary treatment plants for untreated areas, and secondarily, to construct advanced treatment plants for the river sections whose water quality is impaired and for which the water quality goal of the Ministry of Environment is not met. Four scenarios that do not use the GA were proposed and they were compared with the results of the management model using the GA. It became clear that the results based on the GA were much better than those for the other four scenarios from the viewpoint of the achievement of water quality goals and cost optimisation.     

Comparison of Scan-Angle Method and Convective Cloud Differential Method in Retrieving Tropospheric Ozone from TOMS

Tropospheric ozone, derived from the Scan-Angle Method (SAM) and the Convective Cloud Differential (CCD) method, exhibits a noticeable abundance over the South Atlantic, where it is associated with biomass-burning in the austral spring. This feature is also seen in the distribution of carbon monoxide observed from Measurements Of Pollution In The Troposphere (MOPITT). In the boreal burning season, however, the distribution of the results from SAM and MOPITT-CO present an enhancement related to the biomass-burning over North Africa that does not appear in the CCD results. The relationship of the results from SAM and MOPITT-CO is better than those of the results from the CCD and MOPITT-CO for the December-February period. Conversely, the latter relationship is better than the former for the October-November period. The two methods, SAM and CCD, show higher correlation in the southern burning season, but lower correlation in the northern burning season. The influence of biomass burning on ozone amounts is clearly seen in the SAM results of the elevated ozone over northern equatorial Africa during the northern burning season, but is not present in the CCD results.     

基于LINGO 11.0的土地资源优化配置方法研究

根据农七师土地资源利用现状,运用LINGO 11.0模型语言对土地资源优化配置和农业结构调整进行研究,寻求一种利用现代信息技术,提高土地资源科学管理水平,加速本地区经济发展的管理方法。通过建立目标规划模型,确定目标函数、决策变量、约束变量,编写代码,运行得出提高经济效益的最优方案。结果表明：运用LINGO 11.0进行土地资源优化配置的方法,是将土地利用、农业结构、三大效益和数学模型有效结合,具有较强的操作性和通用性;在保证环境效益条件下,总产值提高了30.6%,而且编程简单,功能强大,简便高效,应用广泛。