不同环境温度和活动强度下人体出汗率测定

提出了一种测定人体出汗量的方法—衣物增重法,并利用该法分别测定20、25、28℃环境温度下,8名受试者在跑步机上分别以2、4、6mi/h(54、107、161 m/min)的速度跑步15min后的出汗量。运用配对样本t检验,并对出汗率测定结果进行分析后发现,环境温度和活动强度对人体单位面积出汗率均有显著影响,环境温度分别为20、25、28℃以及活动强度分别为2、4、6mi/h时,人体单位面积出汗率的范围为1.605～681.100 g/(h.m2)。     

Development of the gap model ZELIG-CFS to predict the dynamics of North American mixed forest types with complex structures

When the development of gap models began about three decades ago, they became a new category of forest productivity models. Compared with traditional growth and yield models, which aim at deriving empirical relationships that best fit data, gap models use semi-theoretical relationships to simulate biotic and abiotic processes in forest stands, including the effects of photosynthetic active radiation interception, site fertility, temperature and soil moisture on tree growth and seedling establishment. While growth and yield models are appropriate to predict short-term stemwood production, gap models may be used to predict the natural course of species replacement for several generations. Because of the poor availability of historical data and knowledge on species-specific allometric relationships, species replacement and death rate, it has seldom been possible to develop and evaluate the most representative algorithms to predict growth and mortality with a high degree of accuracy. For this reason, the developers of gap models focused more on developing simulation tools to improve the understanding of forest succession than predicting growth and yield accurately.In a previous study, the predictions of simulations in two southeastern Canadian mixed ecosystem types using the ZELIG gap model were compared with long-term historical data. This exercise highlighted model components that needed modifications to improve the predictive capacity of ZELIG. The updated version of the model, ZELIG-CFS, includes modifications in the modelling of crown interaction effects, survival rate and regeneration. Different algorithms representing crown interactive effects between crowns were evaluated and species-specific model components that compute individual-tree mortality probability rate were derived. The results of the simulations were compared using long-term remeasurement data obtained from sample plots located in La Mauricie National Park of Canada in Quebec. In the present study, three forest types were studied: (1) red spruce-balsam fir-yellow birch, (2) yellow birch-sugar maple-balsam fir, and (3) red spruce-balsam fir-white birch mixed ecosystems. Among the seven algorithms that represented individual crown interactions, two better predicted the changes in basal area and individual-tree growth: (1) the mean available light growing factor (ALGF), which is computed from the proportion of light intercepted at different levels of individual crowns adjusted by the species-specific shade tolerance index, and (2) the ratio of mean ALGF to crown width. The long-term predicted patterns of change in basal area were consistent with the life history of the different species.     

粮食巨灾保险的定价研究——以我国稻谷巨灾保险为例

准确厘定了粮食巨灾保险的费率,系为政府保险支农政策的制订提供技术支持。巨灾事件属于极值事件,故巨灾保险的费率可基于极值理论进行厘定。按照费率厘定的参数法思路,以广义帕累托分布(GPD)作为粮食灾损数据的尾部分布,采用极大似然法估计其参数,进而厘定粮食巨灾保险的纯费率。以稻谷为例,厘定了我国各省(市、区)稻谷巨灾保险的纯费率。应完善法律法规就粮食巨灾保险加以明确,同时加大政府的政策扶持力度,对不同省(市、区)的稻谷巨灾保险参照其纯费率给予有区别的保费补贴,并给予粮食主产区的稻谷巨灾保险更充分的优惠政策。     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)

Several studies have proven the importance of field margins in sustaining biodiversity and other work has been done on the effect of field management on field margin flora. However few models have been built to predict the effects of field management on the flora. Our project addresses this need for a model capable of predicting the effect of cropping techniques and their timing on the flora of field margins. Primula vulgaris is a biodiversity indicator, characteristic of undisturbed flora and found in field margins and woodlands: its population has been declining for several years. We created a temporal matrix model of P. vulgaris populations on field margins, taking into account the effects of field, field margin and roadside management based on literature and expert knowledge. We then analysed its sensitivity to demographic parameters by comparing lambda (growth rate) sensitivity and elasticity. We compared the management parameter effect using the relative growth rate of the population after 6 years of simulation. Sensitivity analysis to biological parameters showed the importance of adult survival and seed production and germination. Results show that P. vulgaris is particularly sensitive to broad-spectrum herbicides and that other management techniques like early mowing, scything and scrub-killer (diluted broad-spectrum herbicide or specific herbicide) are less aggressive. Our simulations show that management of cash crops in Brittany is too aggressive for P. vulgaris populations and that 4-5 years of grassland in the adjacent field are necessary to maintain populations.     

磺胺类兽药对土壤酶活性的影响

采用室内培养的方法,研究磺胺类兽药（磺胺二甲基嘧啶、磺胺甲唑）污染对土壤蔗糖酶、硝酸还原酶、过氧化氢酶、磷酸酶、脲酶和多酚氧化酶活性的影响。结果表明,磺胺类兽药可显著抑制土壤蔗糖酶的活性,其抑制率可达50%以上。兽药对土壤硝酸还原酶活性的影响表现为先抑制后激活的趋势,最大抑制率和激活率可达98.6%、580%。兽药对土壤过氧化氢酶活性的影响主要以激活作用为主,对土壤磷酸酶活性的影响则呈现＂激活-抑制＂的循环趋势。兽药对土壤脲酶活性的影响表现为,培养前期低浓度时激活,高浓度时抑制;培养后期低、高浓度时均抑制。兽药对土壤多酚氧化酶活性的影响表现为,培养前期激活,培养后期抑制。     

天津水产业磺胺类耐药细菌及其分布

水产养殖中抗生素的滥用可能会诱导水产品和周围环境中的耐药菌.针对天津市北辰区、西青区、东丽区和津南区的6个水产养殖场的底泥和水样,采用抗性平板筛选耐药细菌,通过对磺胺甲恶唑的耐药率分析,发现底泥中的耐药率要大大高于水中的耐药率,并且与国外的某些研究相比,底泥的细菌耐药率呈现较高的趋势.另外,利用16S-rDNA鉴定出8...     

异戊二烯和甲苯二次有机示踪物的臭氧非均相氧化

本文基于相对速率法,通过烟雾箱实验测定了异戊二烯和甲苯二次有机示踪物的臭氧非均相氧化的有效速率常数,考察了不同条件(相对湿度和混合状态等)对示踪物臭氧非均相氧化过程的影响,并且分析了由于示踪物被氧化所引起的二次源解析的不确定性.结果表明,赤藓糖醇(analogue of 2-methyl erythritol,AME)和2,3-二羟基-4-氧代戊酸(2,3-dihydroxy-4-oxopentanoic acid,DHOPA)的有效速率常数分别为(4. 60±0. 66)×10-19cm~3·(molecule·s)~(-1)和(6. 57±0. 51)×10-19cm~3·(molecule·s)~(-1);考虑到示踪物不稳定引起的不确定性,采用示踪物产率法解析二次源会对异戊二烯和甲苯二次生成气溶胶低估约16. 5%～44. 8%和18. 3%～47. 3%.     

温度对硝化杆菌(Nitrobacter)活性动力学影响

为探究温度对亚硝酸盐氧化细菌中硝化杆菌属(Nitrobacter)活性动力学影响,本试验采用序批式活性污泥(SBR)反应器,在通过改变系统进水亚硝态氮(NO_2~--N)浓度达到富集Nitrobacter基础上,以富含Nitrobacter污泥为对象(宏基因组物种注释和丰度分析显示Nitrobacter占细菌总数40. 3%),考察不同NO_2~--N浓度梯度下亚硝酸盐氧化过程比亚硝态氮氧化速率(SNi OR)变化规律,基于Monod模型考察系统温度对Nitrobacter活性动力学影响,并进行统计学分析.结果表明,30℃条件下SNi OR达到最大(以N/VSS计),为1. 31 g·(g·d)~(-1).统计学分析结果显示,Monod方程可较好地反映不同温度条件下基质底物浓度对Nitrobacter活性影响.基于菲尔普斯方程计算不同温度区间内温度系数(θ)可知,当系统温度低于25℃或高于30℃时,反应速率随温度变化越敏感.     

Explosibility of micron- and nano-size titanium powders

Explosibility of micron- and nano-titanium was determined and compared according to explosion severity and likelihood using standard dust explosion equipment. ASTM methods were followed using a Siwek 20-L explosion chamber, MIKE 3 apparatus and BAM oven. The explosibility parameters investigated for both size ranges of titanium include explosion severity (maximum explosion pressure (P_max) and size-normalized maximum rate of pressure rise (K_St)) and explosion likelihood (minimum explosible concentration (MEC), minimum ignition energy (MIE) and minimum ignition temperature (MIT)). Titanium particle sizes were ?100 mesh (<150 μm), ?325 mesh (<45 μm), ≤20 μm, 150 nm, 60–80 nm, and 40–60 nm. The results show a significant increase in explosion severity as the particle size decreases from ?100 mesh with an apparent plateau being reached at ?325 mesh and ≤20 μm. Micron-size explosion severity could not be compared with that for nano-titanium due to pre-ignition of the nano-powder in the 20-L chamber. The likelihood of an explosion increases significantly as the particle size decreases into the nano range. Nano-titanium is very sensitive and can self-ignite under the appropriate conditions. The explosive properties of the nano-titanium can be suppressed by adding nano-titanium dioxide to the dust mixture. Safety precautions and procedures for the nano-titanium are also discussed.