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581.
Development of Customized Fire Behavior Fuel Models for Boreal Forests of Northeastern China 总被引:3,自引:1,他引:2
Knowledge of forest fuels and their potential fire behavior across a landscape is essential in fire management. Four customized
fire behavior fuel models that differed significantly in fuels characteristics and environmental conditions were identified
using hierarchical cluster analysis based on fuels data collected across a boreal forest landscape in northeastern China.
Fuel model I represented the dense and heavily branched Pinus pumila shrubland which has significant fine live woody fuels. These forests occur mainly at higher mountain elevations. Fuel model
II is applicable to forests dominated by Betula platyphylla and Populus davidiana occurring in native forests on hill slopes or at low mountain elevations. This fuel model was differentiated from other fuel
models by higher herbaceous cover and lower fine live woody loading. The primary coniferous forests dominated by Larix gmelini and Pinus sylvestris L. var. mongolica were classified as fuel model III and fuel model IV. Those fuel models differed from one another in average cover and height
of understory shrub and herbaceous layers as well as in aspect. The potential fire behavior for each fuel model was simulated
with the BehavePlus5.0 fire behavior prediction system. The simulation results indicated that the Pinus pumila shrubland fuels had the most severe fire behavior for the 97th percentile weather condition, and had the least severe fire
behavior under 90th percentile weather condition. Fuel model II presented the least severe fire potential across weather conditions.
Fuel model IV resulted in greater fire severity than Fuel model III across the two weather scenarios that were examined. 相似文献
582.
With 207 million ha of forest covering 22% of its land area, China ranks fifth in the world in forest area. Rapid economic
growth, climate change, and forest disturbances pose new, complex challenges for forest research and management. Progress
in meeting these challenges is relevant beyond China, because China’s forests represent 34% of Asia’s forests and 5% of the
worlds’ forests. To provide a broader understanding of these management challenges and of research and policies that address
them, we organized this special issue on contemporary forest research and management issues in China. At the national level,
papers review major forest types and the evolution of sustainable forestry, the development of China’s forest-certification
efforts, the establishment of a forest inventory system, and achievements and challenges in insect pest control in China.
Papers focused on Northern China address historical, social, and political factors that have shaped the region’s forests;
the use of forest landscape models to assess how forest management can achieve multiple objectives; and analysis and modeling
of fuels and fire behavior. Papers addressing Central and South China describe the “Grain for Green” program, which converts
low productivity cropland to grassland and woodland to address erosion and soil carbon sequestration; the potential effects
of climate change on CO2 efflux and soil respiration; and relationships between climate and net primary productivity. China shares many forest management
and research issues with other countries, but in other cases China’s capacity to respond to forest management challenges is
unique and bears watching by the rest of the world. 相似文献
583.
584.
Zhang J Li DP Gao P Tao Y Wang XM He XH 《Journal of environmental biology / Academy of Environmental Biology, India》2011,32(5):641-644
Based on the water quality data from 2006 to 2008, grey relational analysis (GRA) is used to analyze factors that may have influence on the speciation of inorganic nitrogen in the Chengdu section of middle Min river. The results show that water temperature, changing from 20.2 +/- 2.7, 13.4 +/- 5.7 and 16.8 +/- 5.6 degrees C, is the first restrictive factor for the speciation of inorganic nitrogen; it is negatively correlated with the ratio of total ammonia nitrogen to total inorganic nitrogen contents [m(AN)/m(TIN)] in three different periods of wet season, dry season and year-round. The average pH values for years, in wet and dry periods are 7.6 +/- 0.4, 7.3 +/- 0.3 and 7.8 +/- 0.2, respectively, and have different influences in different seasons. It is the second restrictive factor and positive correlation between pH and m(AN)/m(TIN) in wet season and through the year yet it is the fourth factor in dry seasons. The values of dissolved oxygen (DO), which are 4.6 +/- 1.4, 4.6 +/- 2.4, 4.6 +/- 2.0 respectively, is the third factor and negatively correlates with m(AN)/m(TIN) in third different periods. The chemical oxygen demand (COD) indirectly inhibits the nitrifying bacteria because the DO is depleted in the decomposition of organic matter by heterotrophic bacteria, showing the positive correlation.As the alkalinity can meet the requirement of nitrification in wet season and through the year, it is not restrictive factor. However, it is the second restrictive factor in dry season because of low content of alkalinity inhibiting the growth of nitrifying bacteria. 相似文献
585.
586.
微酸多年卧孔菌产漆酶条件优化及其在染料脱色中的应用 总被引:4,自引:0,他引:4
微酸多年卧孔菌(Perenniporia subacida)产漆酶能力对生物漂白等研究具有重要意义.通过单因子和正交试验确定了微酸多年卧孔菌(菌株号:Dai 8224)的最适产酶条件:麦芽糖20 g/L,酵母浸粉5 g/L,pH 5.4,Cu2+2.0 mmol/L,培养温度24℃,转速160 r/min,接种量1.5%(V/V),此时酶活最高可达1.945 U/mL.单独使用微酸多年卧孔菌漆酶粗酶液对染料具有很好的脱色效果.该菌株对于50 mg/L杂环类染料中性红的脱色率可达98.3%,对偶氮染料刚果红的脱色率次之,为91.57%,对亚甲基蓝和铬天青的脱色率也都在80%以上.此外,其催化中性红脱色的最佳底物浓度为60 mg/L,脱色率达到99.42%,其中,生物降解作用占55.92%,菌体吸附作用占43.5%.结果表明该菌对多种染料脱色具有较大的应用潜力.图4表3参31 相似文献
587.
588.
为提高职业健康安全管理体系(OHSMS)绩效和职业健康安全绩效,根据OHSMS绩效评价的重要性,提出基于二元语义的OHSMS绩效评价模型。研究科学合理的评价指标体系,并运用层次分析法(AHP)和灰色关联分析法(GRA)确定主客观权重,再运用乘法集成法确定组合权重,作为评价指标的最终权重,运用二元语义的集结算子,计算OHSMS绩效评价指标的综合值,取得最终的评价结果。结果表明,基于二元语义的OHSMS绩效评价将专家经验与定量计算相结合,合理地处理许多因素的不确定性,通过确定不符合项和改进措施,持续改进OHSMS绩效。 相似文献
589.
Jian-jun Jiang Li Zhang Yi-qun Wang Yu-yuan Peng Kun Zhang Wen He 《Safety Science》2011,49(6):843-851
Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased. 相似文献
590.
本文简迷了皮肤防护器材--化学防护服(衣)化学防护性能试验与评价用标准物质的重要性,系统地概述了外军化学防护服(衣)化学防护性能试验与评价用标准物质的研究现状,并提出了我国化学防护服(衣)防护性能试验与评价用标准物质研制过程中应注意的一些问题. 相似文献