The effect of five forage species on transport and transformation of atrazine and isoxaflutole (balance) in lysimeter leachate

A field lysimeter study with bare ground and five different ground covers was established to evaluate the effect of forage grasses on the fate and transport of two herbicides in leachate. The herbicides were atrazine (ATR; 2-chloro-4-ethylamino-6-isopropylamino-1,3,5-triazine) and isoxaflutole [IXF; 5-cyclopropyl-4-(2-methylsulfonyl-4-trifluormethyl-benzoyl)isoxazole], which has the commercial name Balance (Aventis Crop Science, Strasbourg, France). The ground covers included orchardgrass (Dactylis glomerata L.), smooth bromegrass (Bromus inermis Leyss.), tall fescue (Festuca arundinacea Schreb.), timothy (Phleum pratense L.), and switchgrass (Panicum virgatum L.). The results suggested that the total IXF (parent + metabolites) showed higher mobility than ATR and its metabolites. Differences in the timing of transport reflected the rapid degradation of IXF to the more soluble, stable, and biologically active diketonitrile (DKN) metabolite in the system. Although grass treatments did not promote the hydrolysis of DKN, they significantly reduced its transport in the leachate through enhanced evapotranspiration. Grass treatments significantly enhanced ATR degradation in the leachates and soils, especially through N dealkylation, but they did not reduce total ATR transported in the leachate. Leachate from the orchardgrass lysimeters contained the highest proportion of ATR metabolites (64.2%). Timothy and smooth bromegrass treatments also displayed a significant increase in ATR metabolites in leachate. Grass-treated lysimeters showed higher microbial biomass carbon than bare ground. For ATR treatments, the proportion of metabolites in the leachate strongly correlated with the elevated soil microbial biomass carbon in forage treatments. In contrast, DKN degradation was poorly correlated with soil microbial biomass carbon, suggesting that DKN degradation is an abiotic process.     

Retention equations of nonionic organic chemicals in soil column chromatography with methanol-water eluents

Research efforts dealing with chemical transportation in soils are needed to prevent damage to ground water. Methanol-containing solvents can increase the translocation of nonionic organic chemicals (NOCs). In this study, a general log-linear retention equation, log k' = log k'w - Sphi (Eq. [1]), was developed to describe the mobilities of NOCs in soil column chromatography (SCC). The term phi denotes the volume fraction of methanol in eluent, k' is the capacity factor of a solute at a certain phi value, and log k'w and -S are the intercept and slope of the log k' vs. phi plot. Two reference soils (GSE 17204 and GSE 17205) were used as packing materials, and were eluted by isocratic methanol-water mixtures. A model of linear solvation energy relationships (LSER) was applied to analyze the k' from molecular interactions. The most important factor determining the transportation was found to be the solute hydrophobic partition in soils, and the second-most important factor was the solute hydrogen-bond basicity (hydrogen-bond accepting ability), while the less important factor was the solute dipolarity-polarizability. The solute hydrogen-bond acidity (hydrogen-bond donating ability) was statistically unimportant and deletable. From the LSER model, one could also obtain Eq. [1]. The experimental k' data of 121 NOCs can be accurately explained by Eq. [1]. The equation is promising to estimate the solute mobility in pure water by extrapolating from lower-capacity factors obtained in methanol-water mixed eluents.     

人工神经网络方法在资源与环境预测方面的应用

用人工神经网络方法对不同水域、不同环境因子之间非线性和不确定性的复杂关系进行学习训练并预测检验。结果表明：人工神经网络方法在模拟和预测方面 优于传统的统计回归模型,在资源与环境方面的应用是可行的。具有较强的模拟预测能力。与传统的回归模型相比,人工神经网络方法不要求监测数据具有很强的规律性,就可用后的网络模型对其进行预报,燕且预测相对误差均比回归模型预测相对误差要小,具有一定的实用性。两个实例的应用     

湖北省区域可持续发展能力综合评价

从区域可持续发展的观点出发，根据湖北省具体区域特征，通过构建湖北省区域可持续发展指标体系和评估方法，得出湖北省12个地市人口、资源、环境、经济和社会5个系统的可持续发展指数以及区域综合可持续发展指数。从总体上看，湖北省区域可持续发展水平处于偏低水平，其中武汉市是唯一具有强可持续发展能力的城市，但优势地位不明显；其它城市可持续发展5个系统均存在发展不平衡状况，且城市特色不突出。     

网络安全中的蜜罐技术和蜜网技术

当前，网络安全正在受到严重的威胁，传统的防御技术存在其固有的被动防御的缺陷，而蜜罐技术正以其主动防御的特性受到越来越多的关注。本文说明了其在网络安全中所起到的防御作用和通过收集信息而起到的研究作用，讨论了涉及到的诱骗机制、数据控制、数据捕获和数据分析等关键技术以及实际应用中的部署方案。     

提高节理面c和φ对岩坡开挖变形的影响

为了反映岩质边坡在节理面注浆后的变形效应,首先,通过室内试验,分析注浆前后岩体变形和破坏的全过程,以探讨其抗剪性能(粘结力c和内摩擦角φ)的变化;然后,基于理想弹塑性本构模型的Mohr-Cou-lomb准则,运用拉格朗日元数值方法(FLAC3D),对岩坡注浆前后变形效应(水平位移、垂直位移、剪应变增量)进行模拟。结果表明:注浆加固后,岩体的位移场变得均匀和连续,节理面处的较大位移受到抑制,边坡的整体性得到提高,有利于边坡的稳定性。     

可移动充气式应急救护装置的研究

可移动充气式应急救护装置是一种重点针对地铁火灾的新型消防抢险救援装备,主要由风机、风管、救护站及其他辅助设备组成,其工作原理是采用机械通风的方式在救护站内建立正压,阻止外界烟气进入,从而在充满烟气的事故现场建立一个没有烟气的临时安全场所。可用于救助受困人员,方便消防员更换装备和休息调整,以及便于消防部队建立前沿临时指挥点等,为消防部队处置地铁火灾提供了解决问题的新思路和新方法,对提高消防部队在地铁火灾中的抢险救援能力有着重要的作用。除此之外,还可用于其它类型的地下建筑、大空间建筑(如商场)等场所的消防抢险救援。     

区域地震间接经济损失评估

对区域地震间接经济损失的研究现状进行了总结和回顾，目前主要有基于国内生产总值、基于地震震级和基于地震直接损失的3种评估计方法，对这些评估方法进行了讨论，结合地震现场的工作性质和特点，给出了现场评估的一般步骤和建议。     

轴心受压钢筋混凝土柱等效火灾荷载的计算

迄今为止，国内外有关计算构件耐火极限的方法，是钢筋混凝土构件与防火研究的主要内容。而在结构设计中，由于直接考虑的是荷载作用，为此提出了一个新概念——等效火灾荷载，将火灾对结构的影响直接考虑成荷载作用。在确定了混凝土柱的截面温度场后，利用一种简化计算方法计算出钢筋混凝土柱的等效火灾荷载，进而计算出钢筋混凝土柱的耐火极限。在火灾中，作为结构最基本的构件柱可能受到单面或多面的火作用，这里仅介绍轴心受压钢筋混凝土柱等效火灾荷载的计算。     

降低地下矿深孔爆破落矿大块率的技术措施

降低深孔爆破落矿大块率是矿山凿岩中的一个重要课题。笔者对地下矿深孔爆破落矿中大块产生位置及原因进行分析;探讨在炸药单耗、孔网布置、装药结构、堵塞长度、微差间隔、起爆方式等方面对其产生影响的规律;提出地下矿深孔爆破落矿中通过优化爆破参数降低大块率的技术措施。该优化技术措施主要有:减少地质构造对深孔落矿的影响,合理确定炸药单耗的方法,使用大孔距小抵抗线落矿技术,采用多种装药结构技术,采用多排微差起爆技术,加强深孔的施工管理和加强爆破施工的现场管理。这些措施在工程实践中获得了良好的应用效果。