Sedimentary record of polycyclic aromatic hydrocarbons in Lake Erhai, Southwest China

The temporal distribution of polycyclic aromatic hydrocarbons (PAHs) was investigated in a sediment core from Lake Erhal in Southwest China using gas-chromatography/mass spectrometry (GC/MS) method.The total organic carbon (TOC) normalized total PAHs concentrations (sum of US Environmental Protection Agency proposed 16 priority PAHs) ranged from 31.9 to 269 μg/g dry weight (dw),and were characterized by a slowly increasing stage in the deeper sediments and a sharp increasing stage in the upper sediments.The PAHs in the sediments were dominated by low molecular weight (LMW) PAHs,suggesting that the primary source of PAHs was low- and moderate temperature combustion processes.However,both the significant increase in high molecular weight (HMW) PAHs in the upper sediments and the vertical profile of diagnostic ratios pointed out a change in the sources of PAHs from low-temperature combustion to high-temperature combustion.The ecotoxicological assessment based on consensus-based sediment quality guidelines implied that potential adverse biological impacts were possible for benzo(ghi)perylenelene and most LMW PAHs.In addition,the total BaP equivalent quotient of seven carcinogenic polycyclic aromatic hydrocarbons (BaA,CHr,BbF,BkF,BaP,DBA and INP) was 106.1 ng/g,according to the toxic equivalency factors.Although there was no great biological impact associated with the HMW PAlls,great attention should be paid to these PAH components based on their rapid increase in the upper sediments.     

路面径流水环境下交通承载力分析

为了对路面径流水容许污染总量控制下的交通承载力问题进行探讨,利用神经网络具有的非线性映射能力和遗传算法具有的全局随机搜索能力,结合公路路面径流水质检测数据,提出了一种基于遗传神经网络进行公路交通环境承载力反计算的分析方法,应用该方法可根据路面径流水质污染数据反演出路段交通量大小,并可据此进行交通量与路而径流水质污染的关...     

密云水库流域2000-2005年植被覆盖度变化监测

植被是生态系统最重要的组成部分,而植被覆盖度是衡量地表植被状况的一个最重要的指标,是生态系统健康评价的前提和必要的基础。文章利用2000和2005年2个时相的Landsat 7 ETM+遥感影像为数据源,以BP神经网络法为植被覆盖度估算模型,计算了密云水库流域内不同时期的植被覆盖度,生成了该流域2个时相内的植被覆盖度图,以此分析密云水库流域植被覆盖度的时空变化。结果表明,从2000-2005年,密云水库流域内除无植被覆盖类型外(即水域部分),其余土地利用类型的植被覆盖度都呈增加趋势,其中以沙质地和耕地最为明显,分别增长了29.5%和27.3%,并且密云水库流域的平均植被覆盖度不高,尤其西部地区植被覆盖度较差,水土流失和土地沙化情况比较严重。     

基于均匀分布的滑坡数值模拟参数取值概率研究--以甘肃黑方台黄土滑坡为例

针对数值模拟参数选取主观性强、量化难度大的问题,在高精度无人机地形数据的基础上,通过对11起滑坡案例进行了407组参数反演实验,对结果准确度定量评价后,得到基于Massflow数值软件关键参数λ0的分布范围,进而运用小样本极大似然估计理论,分析区间边界长度对反演精度的影响,最终提出基于均匀分布的参数取值概率模型,并选用案例验证该模型的准确性。结果表明:地形约束会导致反演过程中所需的内聚力减小,反演获得的11组最优λ0的极差和方差分别为0.29、0.01,在置信度为95%下,极大似然法得到区间边界估计长度仅为0.0998,表明参数λ收敛性较好;反演过程中质心滑动距离ψ准确度优于堆积面积重叠率η,在λ0±0.05的范围,参数估计区间内任意值对模拟误差影响较小,评价指标ψ、η与λ0对应案例的相对误差不超过15%;所选案例验证了在置信度为95%下,以反演得到的最优参数区间边界中点构建概率分布函数的可行性和准确性,研究方法可为单体滑坡数值模拟风险评价提供理论支撑。     

基于神经网络的生化池能耗预测模型研究

我国城市污水处理的能耗处于较高水平,直接能耗中电耗占60%~90%。为了合理利用电能,以A/O工艺为基础,选取BP神经网络建立能耗预测模型,由入水信息对溶解氧进行预测,为污水处理过程中曝气量的及时调度、有效利用能量提供可靠的决策依据。     

Arsenic removal from groundwater by acclimated sludge under autohydrogenotrophic conditions

Arsenic in the environment is attracting increasing attention due to its chronic health effects. Although arsenite(As(III)) is generally more mobile and more toxic than arsenate(As(V)), reducing As(V) to As(III) may still be a means for decontamination, because As(III) can be removed from solution by precipitation with sulfide or by adsorption or complexation with other metal sulfides. The performance of As(V) bio-reduction under autohydrogenotrophic conditions was investigated with batch experiments. The results showed that As(V) reduction was a biochemical process while both acclimated sludge and hydrogen were essential. Most of the reduced arsenic remained in a soluble form, although 20% was removed with no addition of sulfate, while 82% was removed when sulfate was reduced to sulfide. The results demonstrated that the reduced arsenic was re-sequestered in the precipitates, probably as arsenic sulfides. Kinetic analysis showed that pseudo first-order kinetics described the bio-reduction process better than pseudo second-order. In particular, the influences of pH and temperature on As(V) reduction by acclimated sludge under autohydrogenotrophic conditions and total soluble As removal were examined. The reduction process was highly sensitive to both pH and temperature, with the optimum ranges of pH 6.5–7.0 and 30–40°C respectively. Furthermore, Arrhenius modeling results for the temperature effect indicated that the As(V) reduction trend was systematic. Total soluble As removal was consistent with the trend of As(V) reduction.     

航天发射场风险分析系统研究

针对航天发射场地面设备风险分析现状和需求,讨论了应用概率风险评价(PRA)方法的必要性,并结合发射场提出了一种风险评价综合指数,研究设计了一种基于PRA方法的发射场风险分析系统,实现了"定性分析、定量计算、定标评价"目的,同时以加注系统为例,阐述了基于任务剖面和结构剖面的风险分析模型的构建,以为航天发射场安全工作提供借鉴与帮助。     

基于MATLAB的BP神经网络模型在漠阳江水质评价中的应用研究

为提高水质评价的准确性,基于MATLAB及人工神经网络理论,采用误差反向传播的BP算法建立漠阳江水质评价模型,充分利用神经网络的非线性映射特性,取7项常规地表水水质评价指标对漠阳江水质进行评价,并将BP神经网络评价结果与单因子评价法及综合指数法的评价结果进行比较,网络运行结果表明一致效果良好.同时较传统的水质评价方法,该网络具有较高的识别精度,提高了水质评价等级的准确性,使评价的结果更具有科学性.     

凹凸棒石的表面修饰及对水中Cr（Ⅵ）吸附动力学和热力学的研究

以壳聚糖为生物质碳源,采用一步水热碳化法对凹凸棒石表面进行有机修饰,并采用扫描电镜(SEM)、拉曼(Raman)光谱、元素分析(EA)、X光电子能谱(XPS)、Zeta电势分析、热重分析(TGA)等对改性凹凸棒石进行表征分析.同时,通过静态吸附实验,研究了改性凹凸棒石对Cr(Ⅵ)吸附去除的性能,考察了温度对吸附性能的影响,探讨了吸附动力学和热力学规律.结果表明,改性凹凸棒石表面富含含氧基团和氨基等活性基团;对总铬的吸附行为符合准二级动力学方程;表观吸附活化能为13.4 k J·mol~(-1),表明既有静电吸附,也有配位吸附,且以静电吸附为主;对总铬的吸附等温线符合Langmuir方程.在温度为298、308、318和328 K时,最大吸附量分别为203.3、232.6、267.4和322.6 mg·g~(-1),说明改性凹凸棒石是一种新型环保高性能的除铬材料.在研究的温度范围内,ΔH~0为19.8 k J·mol~(-1),ΔG~0为-19.5~-23.7 k J·mol~(-1),ΔS~0为72.1~131.8 J·mol~(-1)·K~(-1),表明该吸附是一吸热的、自发的、熵增过程.     

数值预报产品在长江干流段面雨量概率预报中的释用

运用2003年6～8月国家气象中心T213L31、武汉暴雨所MAPS数值预报产品,读取一定经纬度范围内的格点资料进行处理,得到最初因子。应用统计软件对最初因子与面雨量实况值进行聚类分析,并依据最优化的原则,将因子分为若干“段”,面雨量实况值（R）分为4个等级：无雨、0＜R≤5 mm、5 mm＜R＜15 mm和R≥15 mm。针对不同的等级,分别求出因子各“段”的降水频率作为X样本序列;相应地,R取“0”或“1”形成Y样本序列,用多元线性回归统计方法建立长江干流段面雨量概率预报方程。