数值模拟结合SF_6示踪法确定煤层钻孔瓦斯抽采有效半径

为准确确定煤层钻孔的瓦斯抽采有效半径,实现最优钻孔设计及最佳抽采效果,根据煤层瓦斯流动理论与煤岩体变形理论,建立钻孔抽采煤层瓦斯的气固耦合数学模型。并利用COMSOLMultiphysics软件,模拟SF6气体在瓦斯渗流场内的运移过程。利用SF6气体示踪法进行现场测试。依据相似定律,结合模拟与实测结果确定钻孔抽采有效半径的范围。以黄陵集团一号煤矿306工作面为例进行试验研究。试验结果表明,模拟结果与实测结果基本吻合;在钻孔直径为94 mm,抽采负压为15 kPa的条件下,预抽30天后,试验工作面抽采有效半径为5.88 m。     

石化行业应用PDCA与6S结合的安全管理模式探讨——以催化裂解工艺为例

随着科学技术的不断进步和新材料、新工艺的不断应用,石化企业危险化学品的种类和数量逐渐增多,危险源和安全隐患日益突出,石化企业的发展迎来了安全生产的全新挑战。论述了PDCA循环管理和6s管理的概念、含义及实施步骤,分析了催化裂解阶段包括原料产品、反应装置等方面的危险性,提出将PDCA循环与6S管理相结合的管理模式应用到石化企业催化裂解阶段的具体内容和注意事项,应用PDCA与6S相结合的管理,有助于进一步创新石化企业安全管理模式,提高企业的安全管理水平。     

六价铬对玉米种子萌发及生理特性的影响

主要研究了不同浓度六价铬胁迫对不同玉米种子萌发和部分生理特性的影响。结果表明：六价铬胁迫下,玉米的生长受到一定程度的抑制,并随溶液中六价铬浓度的增加,抑制加重。玉米幼苗植株吸收六价铬的量随其胁迫浓度的增加而增加。超氧化物歧化酶（SOD）、过氧化物酶（POD）活性随六价铬浓度的增加而增加,丙二醛（MDA）含量同样呈上升趋势。     

Optimization of the recovery of plastics for recycling by density media separation cyclones

Material recovery processes are presented as the optimum option for recycling plastic wastes as a means of recovering hydrocarbon resources. There exist a large variety of automated material recovery processes for recycling of such wastes but each with significant limitations. Of these, the separation based on differences in densities is advocated as the optimum process either for producing recycled products or preparing wastes for subsequent recovery processing.Density separation processes based on cyclone type density media separation (DMS) is presented as an important, potential method for increasing plastics recycling process capacities. It is demonstrated to have the capacity to separate a significantly larger range of particle sizes than those presently processed industrially. The mathematical relationship for the prediction of quality of typical LARCODEMS type density media separations by particle size and density as expressed by the Ecart Probable is presented.A proposed device configuration is presented for density media separation to optimize the recovery and purity of both density fractions produced. It is also suggested that to be economically viable, a large scale of operation is required for industrial plastics recycling operations recovering and producing a number of different plastics with a purity to be used as a substitute for virgin material.     

南海北部海域底泥微生物的腐殖质还原性能研究

微生物的腐殖质还原过程自1996年发现以来,日益成为环境领域的一个研究热点。以南海北部海域的8个底泥为实验材料,利用蒽醌-2,6,-双磺酸（AQDS）为腐殖质模式物,初步探讨了南海北部8个底泥培养物对腐殖质的还原能力,并探讨了驯化后的8个底泥微生物对腐殖质的还原过程。结果发现：从南海北部深海海域到海陆交接的香港米浦红树林的8个底泥样品培养液均能很好的还原AQDS;驯化后的8个站点底泥微生物对腐殖质还原的能力有所不同,在48 h,E425站点培养液中的OD450只有0.74,其余7个站点培养液中的OD450都在2.0~3.0之间,推测其原因是8个站点中腐殖质还原微生物的数量具有明显差异,使得各站点的OD450差异很大。研究结果为认知腐殖质还原微生物的分布和探究腐殖质还原微生物在环境中的生态学意义提供重要的理论依据。     

全面安全管理-6 Sigma方法论

概述了最新全面管理工具 6Sigma方法论的概念、原理 ,以及 6Sigma持续循环的 5个阶段在现代企业全面安全管理中的应用     

6-苄氨基腺嘌呤对江汉平原小麦开花后渍害的缓减效应研究

于2011~2012年度及2012~2013年度开展小麦开花后渍水试验,研究开花后渍水对小麦产量的影响及渍水前喷施6-苄氨基腺嘌呤(6-BA)对产量的效应。结果表明,2011~2012年度及2012~2013年度江汉平原小麦开花期至成熟期均有持续降水分布,其中2011年4~5月累计降雨量达1941 mm,2012年同期累计降雨量达2855 mm,表明江汉平原小麦生殖生长期有较大渍害风险。本试验研究表明,开花后渍水,小麦植株衰老进程加速,叶片严重早衰失绿,旗叶光合速率降低;渍水前喷施6-BA,可缓减叶片衰老趋势,缩小旗叶光合速率降低幅度。开花后渍水亦导致根系活力降低,渍水前喷施6-BA可缓减根系活力降低,其中至灌浆中期,渍水处理根系活力仅为对照的563%,6-BA+渍水处理根系活力较渍水处理提高66%,差异达显著水平。渍水处理生物产量及籽粒产量均显著低于对照,渍水前喷施6-BA,生物产量、籽粒产量较渍水处理比较均有所提高,其中生物产量较渍水处理提高77%,籽粒产量提高137%。总之,在本试验条件下,开花后渍水导致光合速率、根系活力、生物产量、籽粒产量等显著降低,渍水前喷施6-BA可在一定程度上缓减渍害效应,在渍害发生后促进籽粒产量形成,据2011~2012年度及2012~2013年度产量结果估算,渍水前喷施6-BA相当于每6667 m2可减少427 kg 产量损失,即约1/3以上的田块未发生渍害     

亚超临界水技术在废旧尼龙6解聚中的应用

研究了尼龙6在亚超临界水中的解聚反应,以期为废旧尼龙6的回收利用提供技术参数.实验分别利用气质联用仪和紫外分光光度计对解聚后的液相产物进行定性和定量分析,并考察了不同的反应温度、反应压力和反应时间对液相产物收率的影响.结果表明,液相产物绝大部分为己内酰胺;解聚的最佳条件为370 ℃、25 MPa、60 min;己内酰胺最大收率为96%.通过动力学分析和Arrhenius关系计算,得出尼龙6亚超临界水解聚的活化能为64.4 kJ/mol.     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.