核电站温排水遥感监测方法研究——以田湾核电站为例

以江苏省连云港田湾核电站为主要研究区，通过热红外遥感技术研究温排水热污染现象，综合应用美国Landsat卫星热红外波段数据及地面气象测站资料，定量反演核电站建成前后附近海域水温分布与变化情况。研究结果表明，遥感技术完全能够满足温排水监测要求，对于完善近岸海域生态环境保护工作具有积极意义。     

基于空间信息技术的呼伦湖流域研究

通过对干涉雷达技术任务(SRTM)数据处理,运用土壤与水评价工具(SWAT)模型对呼伦湖整个流域的数字高程模型(DEM)进行水文特征提取,分析流域地形分布情况。呼伦湖全流域面积约为25.6万km2,蒙古国部分约为16.3万km2,约占总面积的63.7%。坡度为0～2.0°的地形主要分布在中国境内的呼伦湖南岸和东岸以及贝尔湖周边的平坦草原上,降雨主要被植被截留和土壤吸收,产汇流条件差;而呼伦湖的主要水源、产汇流条件较好的克鲁伦河和乌尔逊河,其产流区大部分位于蒙古国。2国应加强流域综合管理,合理配置水资源,以保证下游入湖的水量来防止呼伦湖的持续萎缩。     

黄岛电厂温排水对大型底栖生物群落的影响

以黄岛电厂温排水邻近海域为研究对象，2010年9月调查了电厂温排水对该海域大型底栖生物群落结构的影响。在9个站点共采集到大型底栖生物76种，平均生物量5．79 g/m2，平均密度830 m-2。利用Bray-Curtis相似性聚类对各样本大型底栖生物分析得出，调查区域可划分为4个群落。各样点Shannon-Wiener多样性指数在2．42～4．25之间，平均指数为3．67，其中靠近温排水区域站位的生物多样性呈现下降的趋势。丰度生物量比较（Abundance/biomass comparison， ABC）曲线分析结果显示，靠近排水口处的大型底栖生物群落受到一定程度的干扰。冗余分析（ RDA）结果表明，水温是影响底栖生物群落变化的最主要因子，对调查区域大型底栖生物群落变化的解释量达到60．5％，影响范围为排水口附近温升在3℃以上的区域。     

Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

Carbon isotope analysis for source identification of atmospheric formaldehyde and acetaldehyde in Dinghushan Biosphere Reserve in South China

Formaldehyde and acetaldehyde are two most abundant carbonyls in ambient air. Biogenic emission has been proposed as a significant source other than anthropogenic emissions and atmospheric secondary formation. Here at a forest site in South China, the carbon isotopic compositions of formaldehyde and acetaldehyde emitted from leaves of three tree species (Litsea rotundifolia, Canarium album and Castanea henryi) were measured in comparison with the bulk carbon isotopic compositions of tree leaves. δ¹³C data of the emitted aldehydes (from ?31‰ to ?46‰) were quite different for tree species, which were all more depleted in ¹³C than the tree-leaf bulk δ¹³C values (from ?27‰ to ?32‰). Formaldehyde in ambient air at the forest site had δ¹³C values different from those of leaf-emitted formaldehyde, indicating other sources for ambient formaldehyde apart from direct emission from leaves, most probably the photooxidation of biogenic hydrocarbon like isoprene and monoterpene. The δ¹³C differences of acetaldehyde between ambient data and those of tree leaves emission were less than 1‰, implying direct biogenic emission as the dominant source.     

四川省自贡市蛋鸡场鸡粪处理工艺

本文主要阐述自贡市蛋鸡场在养鸡生产实践中面临着鸡粪处理这一难题，选用四川省农机所设计，并由四川省资中通风机械厂试剂的GZS-0.5型鸡粪干燥成套设备进行鸡粪加工的工作，本场对GZS-0.5型鸡粪干燥成套设备废气的净化处理有所改进创新。     

浙江东阳市环境污染现状,趋势及其对策

随着东阳市经济的迅速发展．由于人口数量增加，对自然资源的需求量越来越大，环境保护意识薄弱等原因，导致生态系统遭到破坏，林相单一、水土流失严重、洪旱灾害频繁、环境污染严重等灾害。据此，本文提出保护东阳市环境的对策。     

超补偿理论及其在虫害控制中的意义

本文较为系统地阐述了作物对虫害损伤的超补偿理论,表明超补偿广泛存在于各种作物中,并对超补偿所需条件、基本原因以及与害虫控制的关系作进一步讨论。     

浅谈我国逆反射材料现状及其发展趋势展望

随着逆反射材料的广泛应用 ,其带来的安全警示效果、产品质量、生产工艺、检测方法及规范管理等方面的问题被日趋重视 ,笔者通过对逆反射材料的基本构造及反光特性的分析 ,论述了其对人和物的安全防护作用 ,并对我国目前逆反射材料的应用领域、产品质量及检测设备、检测标准等方面的问题进行探讨和评述 ,根据国内外的发展趋势 ,对我国开发及发展逆反射材料产业提出了笔者观点 ,为政府决策提供科学依据     

The role of condensed organic matter in the nonlinear sorption of hydrophobic organic contaminants by a peat and sediments

This study examines the effect of soil organic matter heterogeneity on equilibrium sorption and desorption of phenanthrene, naphthalene, 1,3,5-trichlorobenzene (1,3,5-TCB), and 1,2-dichlorobenzene (1,2-DCB) by soils and sediments. Two estuary sediments, a Pahokee peat (PP; Euic, hyperthermic Lithic Haplosaprist), and two subsamples (base- and acid-treated peat [TP] and acid-treated peat [FP]) of the peat were used as the sorbents. The contents of black carbon particles were quantified with a chemical extraction method. Petrographical examinations revealed the presence of the condensed soil and sediment organic matter (SOM) in Pahokee peat. The Freundlich isotherm model in two different forms was used to fit both sorption and desorption data. The results show that the sorption and desorption isotherms are generally nonlinear and that the apparent sorption-desorption hysteresis is present for phenanthrene and TCB. Detailed analysis of sorption data for the tested sorbent-sorbate systems indicates that black carbon is probably responsible for sorption isotherm nonlinearity for the two sediments, whereas the humic substances and kerogen may play the dominant role in nonlinear sorption by the peat. This investigation suggests that the microporosity of SOM is important for the hydrophobic organic contaminant (HOC) sorption capacity on the peat.