油田化学品废水催化氧化—生化法处理试验研究

油田化学品生产废水污染物浓度高，极难处理，在常温条件下，本研究进行了两组平行试验。第一组试验以复合化学混凝为辅生化法为主；第二组试验以复合化学混凝及Ｆｅｎｔｏｎ试验催化氧为辅生化法为主。结果表明，第一组试验对主要污染物ＣＯＤｃｒ总去除率为５７．１３％，第二组试验对ＣＯＤｃｒ总去除率９４．７％，是处理油田化学品生产废水可行的技术。     

东莞市蔬菜硝酸盐污染现状研究

通过对东莞市11种蔬菜48个样品中硝酸盐质量分数的分析，初步摸清了东莞市蔬菜硝酸盐的污染状况。分析结果表明，硝酸盐检出率为100％，其中21个样品的硝酸盐质量分数超标，超标率为46．5％；叶菜类最高检出值为国家标准的2．6倍；瓜果类最高检出值为国家标准的2．98倍。     

多元工业副产物复合配料煅烧硅酸盐水泥熟料研究

利用重晶石尾矿，铅锌尾矿和硅钙渣复合配料煅烧硅酸盐水泥熟料。研究结果表明，多元工业副产物能显著改善水泥生料易烧性，加速水泥熟料的形成，提高水泥熟料的强度，尤其是早期强度，１天抗压强度可达２０ＭＰａ以上，可用此种配料工艺生产早强水泥。     

Towards the harmonization of water-related policies for managing drought risks across the EU

Drought is recognized as a major issue in the EU, particularly in the Mediterranean region, posing risks to the environment as well as to local and regional economies. The EU policy on water management is continuously evolving, particularly in relation to water scarcity and drought. Starting with the Water Framework Directive (2000/60/EC), which sets the general policy framework for water management across the EU, the EC Communication on Water Scarcity and Drought COM(2007) 414 final set the priorities for managing water scarcity and drought risks. Three follow-up reports (COM(2008) 875 final, COM(2010) 228 final and COM(2011) 133) highlighted achievements and yearly progress within the context of the implementation of the Water Framework Directive, whereas guidance has further been provided through the issue of Technical Reports (e.g. the EC Water Scarcity Drafting Group Technical Report 2008–023 on Drought Management, Including agricultural, drought indicators and climate change aspects). The 2012 EU Water Review (“Blue Print for Safeguarding European Waters” will assess achievements and identify further requirements towards long-term sustainable water use across the EU. However, a harmonized approach on drought risk management at the EU level is still lacking, whereas drought risk in several countries and regions has not been yet fully integrated in water management and relevant sectoral policies.This paper focuses on a proposed paradigm shift from crisis to risk management, which is currently gaining ground as a means of reducing societal vulnerability to droughts. The paper underlines the importance of engaging into risk assessment and management practices and identifies policy gaps and requirements for further improvement of the drought management policy framework at all levels of governance: at the EU, at the national and at the river basin and regional levels.     

Influence of benomyl and prometryn on the soil microbial activities and community structures in pasture grasslands of Slovakia

The effects of pesticides (a herbicide and a fungicide) on the microbial community structure and their activity were analyzed in soil from four alpine pasture grasslands in Slovakia. Specifically, the effects of the herbicide, Gesagard (prometryn active ingredient), and fungicide, Fundazol 50 WP (benomyl active ingredient), on the microbial respiration activity (CO₂ production), the numbers of selective microbial physiological groups (CFU.g^?1) and the structure (relative abundance) of soil microbial communities [(phospholipid fatty acid (PLFA)] were analyzed under controlled laboratory conditions. All treatments including the treatments with pesticides increased (statistically significantly) the production of CO₂ in all fields during 21 days of incubation and posed a statistically insignificant negative influence on the numbers of the observed physiological groups of microorganisms. The significantly negative influence was evaluated only in the numbers of two physiological groups; spores of bacteria utilizing organic nitrogen and bacteria, and their spores utilizing inorganic nitrogen. A shift in the microbial composition was evident when the PLFA patterns of samples from different sites and treatments were compared by the Principal Component Analysis (PCA). According to the second component PCA 2 (15.95 %) the locations were grouped into two clusters. The first one involved the Donovaly and Dubakovo sites and the second one contained the Velka Fatra and Mala Fatra locations. The PLFA composition of the soils showed important changes after the treatment with pesticides according to PCA 1 (66.06 %). Other treatments had not had a significant effect on the soil microbial community with the exception of the population of fungi. The lower relative abundance (significant effect) of Gram-positive bacteria, actinomycetes and general group of bacteria were determined in samples treated by the herbicide Gesagard. The application of fungicide Fundazol decreased (statistically significantly) the relative abundance of actinomycetes and general group of bacteria and paradoxically increased the population of fungi.     

模锻件编码系统及其应用

应用成组技术原理,建立了模锻件分类编码系统,并用计算机对某厂136个锻件进行了分类编码处理,获得了企业的产品频谱等信息。     

Using electromagnetic induction technology to predict volatile fatty acid, source area differences

Subsurface measures have been adapted to identify manure accumulation on feedlot surfaces. Understanding where manure accumulates can be useful to develop management practices that mitigate air emissions from manure, such as odor or greenhouse gases. Objectives were to determine if electromagnetic induction could be used to predict differences in volatile fatty acids (VFA) and other volatiles produced in vitro from feedlot surface material following a simulated rain event. Twenty soil samples per pen were collected from eight pens with cattle fed two different diets using a predictive sampling approach. These samples were incubated at room temperature for 3 d to determine fermentation products formed. Fermentation products were categorized into acetate, straight-, branched-chained, and total VFAs. These data were used to develop calibration prediction models on the basis of properties measured by electromagnetic induction (EMI). Diet had no significant effect on mean volatile solids (VS) concentration of accumulated manure. However, manure from cattle fed a corn (Zea mays L.)-based diet had significantly ( P ≤ 0.1) greater mean straight-chained and total VFA generation than pens where wet distillers grain with solubles (WDGS) were fed. Alternately, pens with cattle fed a WDGS-based diet had significantly (P ≤ 0.05) greater branched-chained VFAs than pens with cattle fed a corn-based diet. Many branched-chain VFAs have a lower odor threshold than straight-chained VFAs; therefore, emissions from WDGS-based diet manure would probably have a lower odor threshold. We concluded that diets can affect the types and quantities of VFAs produced following a rain event. Understanding odorant accumulation patterns and the ability to predict generation can be used to develop precision management practices to mitigate odor emissions.     

Optimization of an artificial neural network for identifying fishing set positions from VMS data: An example from the Peruvian anchovy purse seine fishery

The spatial behavior of numerous fishing fleets is nowadays well documented thanks to satellite Vessel Monitoring Systems (VMS). Vessel positions are recorded on a frequent and regular basis which opens promising perspectives for improving fishing effort estimation and management. However, no specific information is provided on whether the vessel is fishing or not. To answer that question, existing works on VMS data usually apply simple criteria (e.g. threshold on speed). Those simple criteria generally focus in detecting true positives (a true fishing set detected as a fishing set); conversely, estimation errors are given no attention. For our case study, the Peruvian anchovy fishery, those criteria overestimate the total number of fishing sets by 182%. To overcome this problem an artificial neural network (ANN) approach is presented here. In order to set both the optimal parameterization and use “rules” for this ANN, we perform an extensive sensitivity analysis on the optimization of (1) the internal structure and training algorithm of the ANN and (2) the “rules” used for choosing both the relative size and the composition of the databases (DBs) used for training and inferring with the ANN. The “optimized” ANN greatly improves the estimates of the number and location of fishing events. For our case study, ANN reduces the total estimation error on the number of fishing sets to 1% (in average) and obtains 76% of true positives. This spatially explicit information on effort, provided with error estimation, should greatly reduce misleading interpretations of catch per unit effort and thus significantly improve the adaptive management of fisheries. While fitted on Peruvian anchovy fishery data, this type of neural network approach has wider potential and could be implemented in any fishery relying on both VMS and at-sea observer data. In order to increase the accuracy of the ANN results, we also suggest some criteria for improving sampling design by at-sea observers and VMS data.     

Estimation of annual potential evapotranspiration at regional scale based on the effect of moisture on soil respiration

Potential evapotranspiration (PET) is an important component of water cycle. For traditional models derived from the principle of aerodynamics and the surface energy balance, its calculation always includes many parameters, such as net radiation, water vapor pressure, air temperature and wind speed. We found that it can be acquired in an easier way in specific regions. In this study, a new PET model (PETP model) derived from two empirical models of soil respiration was evaluated using the Penman-Monteith equation as a standard method. The results indicate that the PETP model estimation concur with the Penman-Monteith equation in sites where annual precipitation ranges from 717.71 mm to 1727.37 mm (R² = 0.68, p = 0.0002), but show large discrepancies in all sites (R² = 0.07, p = 0.1280). Then we applied our PETP model at the global scale to the regions with precipitation higher than 700 mm using 2.5° CMAP data to obtain the annual PET for 2006. As expected, the spatial pattern is satisfactory overall, with the highest PET values distributed in the lower latitudes or coastal regions, and with an average of 1292.60 ± 540.15 mm year⁻¹. This PETP model provides a convenient approach to estimate PET at regional scales.