镉对花生苗期的毒害效应及其品种间差异

重金属在籽粒中的积累与植物对镉的生物学耐性和吸收特性有一定的内在联系。本研究通过比较不同花生（Arachis hypogaea L.）品种对镉胁迫的生物学耐性,旨在为进一步揭示花生籽粒镉积累的种内差异形成机制提供实验参数。在人工气候箱控制环境下的含镉的营养液砂培试验中,花生苗期对镉胁迫的反应具有显著的品种间遗传差异。基于植株生物量变化,可将花生的镉胁迫反应分为3种类型,即镉钝感型,品种有平度01、花育23和莱农13;敏感型,品种有中花4号、花育20、丰花3号、莱农29、豫花15和祁阳小籽;普通型,品种有湘农3010-w、湘农312、湘农55、丰花2号和湘农小果w2-7等。钝感型品种在5个加Cd水平下的茎叶干物量比对照平均降低22.8%,全株生物量平均降低11.7%;敏感型品种茎叶干物量平均降低38.0%,全株生物量降低29.2%;普通型品种茎叶干物量平均降低33.2%,全株生物量降低25.1%。随着Cd质量浓度提高和暴露时间延长,花生叶片的叶绿素质量分数显著降低,叶片和根系丙二醛质量分数及细胞膜透性显著提高,与钝感型品种相比,敏感型品种的上述生理指标变化速率较高,而且随着镉暴露时间延长,两者之间的差异性持续扩大。     

海外高风险地区项目突发事件应急对策

介绍了我国企业近年来在海外地区的发展态势,简要说明了在海外高风险地区项目面临的安全威胁和挑战,分析了海外高风险地区项目可能发生突发事件的种类和危害,阐述了海外项目应对突发事件的策略,在此基础上建立了海外高风险地区项目应对突发事件的通用应急管理模式,并通过相关实例进行了说明,总结了海外高风险地区项目应对突发事件的关键环节和经验.     

微波诱导热解制备小麦秸秆吸附剂及响应面优化工艺研究

以氯化锌为活化剂,通过微波诱导热解法制备小麦秸秆吸附剂,并以微波功率、热解时间和氯化锌质量分数为影响因素,碘吸附值为响应值,采用响应面法对小麦秸秆吸附剂的制备工艺进行优化。结果表明,热解时间和微波功率对碘吸附值的交互作用明显。响应面优化工艺分析,发现当热解时间4.03 min、微波功率569.0 W,氯化锌质量分数为31.24%时,碘吸附值最大,为643.33 mg/g。另外,小麦秸秆吸附等温线与I型相似,吸附剂的微孔容积为0.238 4cm³/g,吸附剂的BJH孔径分布表现窄小,最高峰出现在2.1nm左右。处理Cr(VI)废水的吸附试验,发现Cr(VI)的去除率可以达到70%以上。研究表明,微波诱导热解法及响应面优化工艺制备的小麦秸秆吸附剂技术可行且具有良好的重金属废水处理应用前景。     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.     

耐高温酵母高浓度发酵生产燃料乙醇工艺优化

采用两水平部分因子设计(23Fractional Factorial),选取发酵温度、接种量、初始糖浓度为自变量考察因素,以最终发酵乙醇浓度和9 h生物量浓度为响应值,考察耐高温高浓度酵母的燃料乙醇发酵能力,并对实验数据进行二次模型变异分析(Ahalysis of variance,ANOVA),建立了三元二次方程数学...     

船舶溢油应急反应人的可靠性分析研究

为减小船舶溢油事故应急反应人员失误概率,提升应急处置效果,在对应急人员可靠性主要影响因素识别的基础上,利用模糊贝叶斯网络(BN)建立船舶溢油应急人的可靠性分析(HRA)模型,将应急反应流程抽象为可进行概率推算的BN,实现单个应急任务和全过程人的可靠性的量化评估,并依据该模型对一起船舶溢油事故进行实例研究。结果表明,首先模糊集值专家评估较好地解决应急人员可靠性情境依赖性强,难以量化评估的问题;其次,BN卓越的概率推理性能实现由单个应急任务向全过程人的可靠性的推算;最后得到应急反应人的可靠性主要取决于关键应急任务的完成情况和相关情境因素的影响。     

基于洪水演进数值模拟的溃坝危害性快速评估

采用部分溃坝模型与堰流相交算法计算溃坝最大流量,并基于四次抛物线概化方法得到溃坝洪水的流量过程线;利用洪峰展平法将洪水波概化为三角形,对洪水演进过程进行模拟,分析溃口宽度和溃口形态对洪水演进过程的影响;研究考虑不同溃坝条件下对溃坝洪水的到时、最大流量、水深和洪水历时等洪水演进的主要参数的快速估算方法,以实现对地震可能引发不同溃坝事件危害性的快速评估。