Renewable Resources and Enzymatic Processes to Create Functional Polymers: Adapting Materials and Reactions from Food Processing

We are exploiting materials and concepts from food science to create functionalized, environmentally friendly derivatives of the biopolymer chitosan, a byproduct of seafood processing. Functional groups are grafted onto chitosan using tyrosinase, the enzyme responsible for food browning. The functionalizing groups studied include low-molecular-weight phenols derived from natural sources and high-molecular-weight proteins. The approach of using low-molecular-weight phenols to functionalize chitosan is illustrated with arbutin, a natural phenol found in pears. Results demonstrate that tyrosinase initiates reactions that lead to the conversion of arbutin–chitosan solutions into gels. These gels can be rapidly broken by treatment with the chitosan-hydrolyzing enzyme chitosanase, demonstrating that the chitosan derivatives remain biodegradable. We briefly review other studies in which low-molecular-weight natural phenols are enzymatically grafted onto chitosan to confer functional properties. The creation of co-polymers is illustrated by results in which tyrosinase is used to couple gelatin onto chitosan. Gelatin is a proteinaceous byproduct of meat production. The tyrosinase-generated gelatin–chitosan conjugates have been observed to offer interesting rheological and thermal properties. These results demonstrate the potential for using renewable resources and enzymatic processing to create environmentally friendly polymers with useful functional properties.     

Estimation of Cumulative Frequency Distribution for Carbon Monoxide Concentration from Wind-Speed Data, in Buenos Aires (Argentina)

In this article we apply and test a methodology to estimate cumulative frequency distribution for air pollutant concentration from wind-speed data. We use the inverse relationship after Simpson et al. (Atmospheric Environment, 19, 75–82, 1985) between the opposing percentile values in the statistical distributions for air pollutant concentrations and wind-speed data. This relationship is valid, irrespective of the statistical distributions of both variables, if an inverse relationship between them is also applicable. The available data are five years of 8-h average carbon monoxide concentration and 8-h mean wind-speed, observed in Buenos Aires (Argentina). The performance of the obtained empirical expressions in estimating cumulative frequency distributions for 8-h CO is statistically evaluated. The results show that it is possible to obtain an acceptable cumulative frequency distribution for 8-h CO concentration at the site if the cumulative frequency distribution for wind-speed is known. Q–Q plots show a good agreement between estimated and observed values. From our data, the mean relative error of the estimations was found to be as much as 8.0%.     

涉及电动振动台选型的结构与技术的评价和分析

通过振动台系统组成部分（振动台体，磁场电源和功率放大器）涉及的结构与技术的分析，对振动台系统技术指标的先进性，结构设计的合理性及振动台用于振动试验的准确性和安全性的评价提供依据，可供选择振动台系统参考。     

灾害对国民经济影响的定量分析模型及其应用

自然灾害对国民经济和人民生活能造成巨大的损失 ,因此 ,研究灾害对国民经济的影响具有重要的意义。灾害系统是一个十分复杂的系统 ,直接建立灾害对国民经济影响的定量分析模型比较困难。本文基于投入产出方法 ,讨论了直接和间接经济损失在投入 -产出表中的表达方式 ,建立了灾害损失评估的定量分析模型 ,并以农业为例 ,分析了自然灾害造成的农业总产值损失对整个经济系统的影响。     

浅谈卧龙特区梯级电站建设对自然保护区的影响

根据笔者参加卧龙特区梯级电站规划中了解到的一些情况,首先阐述了保护区的自然环境和社会环境以及在此背景上造成的当前大熊猫的处境。接着分析了梯级电站建设可能带来的生态效益、经济效益和社会效益。同时,又估计到会带来的一些不利影响,重点是对大熊猫的生存环境方面。最后,从加强自然保护角度建议对方案中在核心区布置的一些梯级电站应持慎重态度,并提了几点保护措施。     

城市自然资源的综合评价与发展评价——以武汉市为例

在武汉市的自然资源结构中,水资源量大质优,地位突出,农业自然资源配合协调,城市建设的相关资源组合较好,能源与矿产资源相当贫乏。从城市发展的角度考察,人均资源量将日趋减少,水资源保证程度较高,城市土地资源尚具潜力但矛盾日益显露,能源与矿产资源的制约性是深刻而持久的。     

COUPLING OF NONPARAMETRIC FREQUENCY AND L-MOMENT ANALYSES FOR MIXED DISTRIBUTION IDENTIFICATION 1

ABSTRACT: Both L-moment and nonparametric frequency analyses were performed on a series of annual maximum floods from New Brunswick, Canada. The L-moment analysis concluded that the data were generated from a unimodal Generalized Extreme Value (GEV) distribution. However, the nonparametric frequency analysis indicated that a majority of stations followed nonunimodal mixed distributions since peak flows occur during different seasons and are the result of different generating mechanisms. The coupling of L-moment and nonparametric analyses facilitates mixed distribution identification. Thus, the nonparametric method helps in identifying underlying probability distribution, especially when samples arise from mixed distributions.     

生态环境与洪旱灾害

作者将自然运动与人类活动、生态环境与气候结合起来研究，求索洪旱灾害之谜，着重探讨了其中多种生态环境因素。由大灾后的反思，找出灾害加剧的人为原因是：人中激增、生态危机、水利失修等，提出必须加强防灾减灾的对策研究。     

自然资源开发利用度预警分析

本文分析了建立自然资源开发利用预警的必要性,研究了预警系统和预警流程。提出了预警建立的原则和相应的指标体系     

自然灾害综合区划的基本类别及定量方法

依据区域灾害系统论原理,提出了以灾害强度、灾害势、抗灾力和灾度４个状态参量描述的区域自然灾害系统状态,建议以之为基础,将自然灾害综合区划分为灾害强度区划、灾害势区划、抗灾力区划和灾度我划４个基本类别、并结合自然灾害综合区划定量方法的讨论,以实例说明了上述基本类别类别划分的可行性。