热带西太平洋部分海域海水的化学状况分析

本文对１９９２年１１月棉兰老岛东南海域，伊里安岛北部海域上层水及４０°Ｓ１５６°Ｅ定点长达４个月的ｐＨ，Ｅｈ，ΣＳ调查分析，研究了上述海域的海水化学状况，结果表明，１９９２年１１月，在上层水中，棉兰老岛东南海域海水的碱性较弱，氧化性较强，伊里安岛北部海域海水碱性较强，还原性较强，４°Ｓ１５６°Ｅ的上层水界于二者之间。     

超塑胀形唯象力学研究综述

此文对超塑胀形唯象力学研究作了较全面系统的回顾,对各文献的研究作了相应的分类和逐一地评述,进而指出了超塑胀形唯象力学研究在理论和应用上存在的主要问题,为今后的相关研究指明了方向。     

Resourceful ecological treatment of wastewater in urban ecosystem

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汞对蔬菜幼苗生长及氧化酶同工酶的影响

汞是城市污水中的一种主要有毒物,郊区农民常用这种污水灌溉农作物,造成减产。含汞工业污水对水稻、小麦种子萌发、幼苗及胚根生长的毒性影响及体内某些酶的变化已有一些报道,但对蔬菜幼苗期形态变化与体内某些酶变化的关系则很少有人探讨。我们用不同浓度汞溶液处理番茄等6种作物种子,探讨其对幼苗生长的影响及体内氧化酶同工酶变化的关系,为生产上早期检测作物受汞害的程度、选择抗汞害的作物品种提供依据。     

高效加压溶气气浮工艺在炼油污水处理中的应用

通过对传统溶气气浮工艺及高效加压溶气气浮工艺（SUPR-DAF）的工作原理、工艺流程、气浮效果、运行管理、技术经济等方面加以比较、分析，显示出SUPR-DAF工艺的高效性、灵活性、优越性。该工艺可适用于任何改建、扩建、新建的炼油污水处理项目。     

大学校园的生态足迹探究

生态足迹分析法是评价绿色校园建设水平较好的指标之一,能定量揭示学校的生态状况,本文结合黑龙江科技学院的校园状况,简要介绍生态足迹成分法的原理和计算分析方法.研究结果表明,黑龙江科技学院2005年总生态足迹为18410.53 hm2,即需要18410.53 hm2生态生产性土地来支持学校的各类消费以及吸纳废弃物;人均生态足迹为0.94 hm2/人,与全国人均生态足迹1.5 hm2相比较,学校的生态状况比较乐观.     

Current status of applying microwave-associated catalysis for the degradation of organics in aqueous phase – A review

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阿司匹林生产用废弃活性炭的微波一步再生

阿司匹林生产过程中会产生大量的粉末状废弃活性炭,对环境造成了较大的影响。提出了不外加活化气体的微波加热一步再生法再生废弃活性炭,使之循环利用。通过试验考察了再生温度、再生时间和物料厚度等因素对再生活性炭吸附性能和得率的影响。在再生温度700℃、再生时间10 min和物料厚度20 mm的优化条件下,亚甲基蓝吸附量为180 mg/g,再生活性炭的得率为40.875%,与常规方法再生药用活性炭相比,降低了再生温度,再生时间缩短了50%左右。此时再生活性炭的比表面积为1 296 m~2/g,平均孔径为3.016nm,适合于吸附亚甲基蓝,总孔体积为0.977 4 m L/g,其中微孔占47.81%,表明微孔和中孔都较为发达。扫描电镜和傅里叶变换红外光谱图分析表明,活性炭孔隙和表面性质得到了有效的再生恢复。微波一步再生法避免了通入活化气体而导致大量粉末活性炭被带走的问题,并且该方法具有速度快、效率高等优势。     

二级出水中溶解性有机物亲疏水性对超滤膜污染的影响

利用相对分子质量分布、三维荧光光谱仪及红外光谱仪等方法研究了城市污水二级出水中溶解性有机物亲疏水性对超滤膜污染的影响。结果表明:城市污水二级出水中疏水性酸占42.8%,过渡亲水性酸占19.1%,亲水性有机物占38.1%;水中疏水性酸、过渡亲水性酸和亲水性有机物分别使膜通量减小32.8%、29.9%和18.6%,膜阻力增大106.6%、92.2%和58.6%;过渡亲水性酸为蛋白质类,相对分子质量主要在4000~30000 Da;亲水性有机物为脂肪类,主要集中在6 000 Da以下;疏水性酸物质为腐殖酸类,主要集中在4 000 Da以下,其中疏水性酸物质更容易引起超滤膜污染。     

Probabilistic risk assessment for pedestrian–vehicle collision considering uncertainties of pedestrian mobility

Objectives: The uncertainties of pedestrian mobility are important factors affecting the accuracy and robustness of an active pedestrian protection system. This study is to provide the means for probabilistic risk evaluation of pedestrian–vehicle collision by counting the uncertainties in pedestrian motion.

Method: The pedestrian is modeled by a first-order Markov model to characterize the stochastic properties in mobility according to field experiments of pedestrians crossing an uncontrolled road. Based on the assumption of Gaussian distribution, unscented transformation (UT) is employed to predict the collision risk probability with the symmetric σ-set constructed on the basis of discrete trajectory simulation. Simulation experiments were carried out with 10,000 Monte Carlo (MC) simulations as the reference.

Results: The probability density distributions of time-to-collision, minimal distance, and collision probability estimated by UT coincide with the reference ones under various vehicle–pedestrian conflict scenarios, and the maximal deviation of collision probability from the reference is 5.33%. The UT method is about 600 times faster than the MC method (10,000 runs), which means that the proposed method has the potential for online application.

Conclusions: This article presents an effective and efficient algorithm to estimate the collision probability by using a UT method to solve the nonlinear transformation of uncertainties in pedestrian motion. Simulation results show that the UT-based method achieves accurate collision probability estimation and higher computation efficiency than MC and provides more valuable information concerning collision avoidance than the deterministic methods in the design of a pedestrian collision avoidance system.