冷藏技术对发光细菌活性及毒性测试性能的影响

由于发光细菌的在线毒性监测技术受到了细菌生物活性稳定性保持问题的制约,探索一种脱脂牛奶菌悬液冷藏复苏方法,以提高发光细菌活性的保持时间。比较了明亮发光杆菌新鲜菌液冷藏、冻干粉菌悬液冷藏和脱脂牛奶菌悬液冷藏对发光细菌生物活性的影响,同时,比较了不同渗透压调节液对菌悬液急性毒性测试的灵敏度和稳定性的影响。结果表明,质量分数为25%的脱脂牛奶可提高发光细菌生物活性的稳定性,菌悬液冷藏7d后复苏,相对发光率仍可达92%。2%NaCl和10%蔗糖为渗透压调节液时,冷藏至第7天的发光细菌脱脂牛奶菌悬液对重金属毒性测试的灵敏度,与新鲜菌液基本相同,但添加蔗糖降低了其对有机物的测试灵敏度。利用发光细菌脱脂牛奶冷藏菌悬液对Zn~(2+)进行连续7d的毒性测试,EC_(50)的变异系数小于15%,结果稳定性良好。     

旱灾对石漠化影响评估及灾后石漠化防治分区

以西南五省区(四川、重庆、云南、贵州、广西)为研究对象,将岩性、坡度、降水、土地利用、土壤类型、植被覆盖度、与居民点距离、人口密度作为评价指标,研究了石漠化敏感性及西南旱灾导致的变化,并以贵州省兴义市为示范,制定了旱灾后石漠化防治分区. 结果表明:干旱可提高石漠化敏感性,受旱灾程度越深,石漠化敏感性增强越明显. 旱灾导致西南五省区石漠化极重度敏感区和重度敏感区面积分别增加了777和16 484 km2. 贵州省兴义市石漠化敏感性显著变化面积最大,达到石漠化总面积的54%,灾后治理区、监督区、预防区的面积分别为110.9、221.8和509.1 km2,其中需对33.7 km2的石漠化区域进行优先治理.      

我国地表水中磷酸三苯酯的多层次生态风险评估

磷酸三苯酯(triphenyl phosphate,TPP)在电缆材料、塑料制品中被大量使用,是地表水中检出频率最高的有机磷酸酯类阻燃剂之一,近年来受到广泛关注。本文通过文献检索TPP的地表水环境暴露浓度以及对水生生物的毒性效应浓度,利用风险商(hazard quotient,HQ)和概率生态风险评价法(probabilistic ecological risk assessments,PERA)对我国主要地表水中的TPP进行多层次生态风险评价。结果显示,TPP在我国地表水中的浓度为0.2～96.3 ng·L~(-1),以生存为测试终点的急性毒性数据推导出的预测无效应浓度(predicted no effect concentration,PNEC)为36.49μg·L~(-1),而以繁殖、发育和生长等为测试终点的慢性毒性数据推导出的PNEC值为1.30μg·L~(-1)。基于急、慢性毒性数据计算的风险商均小于0.1。我国地表水中TPP对0.1%到1%的水生生物造成繁殖、发育和生长等慢性毒性影响的概率分别为1.40%和0.04%,存在较低的潜在生态风险。     

农村环境污染控制区划方法与应用研究

针对农村环境污染发生的广域性、分散性和随机性等特征,采用清单分析法,核算了农村环境污染物COD、TN、TP排放量和排放浓度,并以环境污染敏感性评价和污染类型划分为研究基础,探讨了农村环境污染控制区划方法,提出了区划原则、分区方法和命名方法.采用上述方法,在江苏省进行了应用研究,将江苏省农村环境污染控制区共划分为3个一级区和13个二级区,对不同级区实施分区管理和分类控制,分区结果可以为农村环境污染控制决策提供科学依据.     

浙江西苕溪水环境容量模型与参数灵敏度分析

针对浙江西苕溪河月流量丰枯悬殊较大、流速小、存在倒流的特点,建立了零维反复流水环境容量模型.以水功能区为基础划分计算单元,选取频率P=50%、75%、90%和近10年最枯月流量为设计水文条件,分别计算了西苕溪CODCr、氨氮、总氮、总磷的水环境容量值;对模型参数进行了蒙特卡罗模拟分析,95%置信水平下,CODcr环境容量置信区间为[17982 t/a,45489 t/a],氨氮为[493t/a,1624t/a],总氮为[435 t/a,1332t/a],总磷为[20t/a,147t/a];模拟结果给了流量、降解系数不确定条件下水环境容量的所有可能值,为决策者提供了更全面的信息.参数灵敏度分析结果表明,各站流量对各污染物环境容量均最敏感,方差贡献占73.3%~99.1%,而降解系数中除k2对CODCr具有一定影响外,其余影响最小,说明计算水环境容量时,选择合适的设计流量极为重要.     

Sensitivity analysis of North American bird population estimates

The Partners in Flight North American Landbird Conservation Plan provided estimates of population sizes for 448 landbird species using a multiplicative model. Input parameters in this calculation included the area of state × Bird Conservation Region polygons, area-specific mean Breeding Bird Survey counts circa 1995, and adjustment factors for the distance over which species may presumably be correctly counted, the assumed pairing of singing males with non-singing females, and variability in the propensity of birds to sing over the course of the survey day. I assessed the sensitivity of this population calculation to changes in the input parameters. I assessed both local and global sensitivity of the model to changes in the parameters with Monte Carlo one-at-a-time simulations and the Fourier amplitude sensitivity test (FAST). Monte Carlo simulations were an estimate of local model sensitivity whereas FAST estimated global model sensitivity, accommodating the potential shared variance between model parameters. Monte Carlo simulations suggested population estimates were 39% more sensitive to changes in the detection distance adjustment than to the other parameters; the other parameters were nearly equal in their contribution to model sensitivity. Conversely, FAST analysis determined that each of the input variables aside from the pair adjustment provided roughly equal contributions to variability in population estimates. The most efficient means for improving continental population estimates for birds surveyed by the Breeding Bird Survey will be through increased scrutiny of the species-specific distance detection and time-of-day adjustments and improved understanding in the spatial and temporal variability in the mean Breeding Bird Survey count.     

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。     

Small-scale physical explosions in shock tubes in comparison with condensed high explosive detonations

A series of small-scale experiments involving physical explosions in a 1.6 l pressure vessel was carried out. Explosions were initiated by spontaneous rupture of an aluminium membrane on one side of the vessel at a pressure in the range 1–1.2 MPa. The pressure waves released were measured at different distances along two separate shock tubes, one 10 m long and 200 mm in diameter (closed at one end by the high pressure vessel) and the other 15 m long and 100 mm in diameter.TNT equivalency was used for predicting the blast wave characteristics after vessel rupture. TNT equivalency was used because equations for prediction of peak pressure and impulse of the blast wave in 1-D geometry after detonations of condensed explosives are known. Some experiments with an equivalent amount of real explosive were carried out for comparison with the theoretical and experimental data obtained. The applicability of the TNT equivalency method presented for calculations of maximum pressure and shock wave impulse generated after rupture of the pressure vessel in 1-D geometry is discussed.     

安徽省棉花冰雹灾害风险区划研究

雹灾风险区划是雹灾风险研究的重要内容,对制定区域性的雹灾防灾减灾对策具有指导意义。而雹灾风险评价是开展雹灾风险区划的前提和基础。以我国雹灾频发区--安徽省为例,选择其主要经济作物棉花为承灾体,基于区域灾害系统理论和棉花雹灾风险区划数据库,在“E-H-V-R”四维评价基础上,提出了多技术手段和多方法相结合的“3（E、H、V）+1（R）”维的雹灾风险区划方法,编制了安徽省棉花雹灾风险图,将其划分为淮北平原区、江淮平原丘陵区和皖南山区3个一级区,10个二级区和19个三级区,为安徽省棉花雹灾风险管理和防灾减灾工作的开展提供科学依据,同时为其他区域和其他灾害风险区划研究提供方法和技术参考     

A carbon footprint analysis in the textile supply chain

This research work focuses on the application of life-cycle assessment methodology to determine the carbon footprint of different players involved in a supply chain of the textile sector. A case study of a product by a textile leader company was carried out. This study demonstrates that, in the textile chain, the main contribution to the greenhouse effect is provided by the electrical and thermal energy used and by the transportation (since different production phases are delocalised in a wide range that goes from South Africa, Italy, Romania and all around the world, from the distribution centre to the stores). The Monte Carlo analysis has been used in order to obtain, for each calculated impact, not only the average value but also the distribution curve of the results characterised by uncertainty parameters. Moreover, a sensitivity analysis was carried out to evaluate the impact of management choices such as:

??a change in the transportation modality, from aeroplane to boat;

??a combination of road and rail transportation; and

??a selection among suppliers that allows the firm to cut environmental impacts.