SELECTION AND SUSTAINABILITY OF LAND AND WATER RESOURCE MANAGEMENT SYSTEMS1

ABSTRACT: Most spatial decision support systems for natural resource planning and management are limited by their scenario-based (non-behavioral), deterministic (non-stochastic) structure. A spatial decision support system is developed that uses a multiple attribute decision-making model to explain how a property manager selects a land and water resource management system (LWRMS) based on its multiple, stochastic economic and environmental attributes. The decision support system assesses sustainable resource management at the property and watershed scales and identifies the most cost-effective policy for enhancing sustainable resource management. Economic attributes are determined with an economic model and environmental attributes are simulated with an environmental model. Input parameters for both models are generated with a geographic information system. The decision support system is used to rank five LWRMS for a sample of 20 farmers in Missouri's Goodwater Creek watershed and for two hypothetical watershed alliance groups. Results indicate that the average farmer and the two alliance groups would rank the five LWRMS in the same manner. From the viewpoint of the watershed alliance, the most preferred LWRMS for the average farmer in the watershed is sustainable.     

木薯乙醇-汽油混合燃料生命周期排放多目标优化研究

建立了木薯乙醇-汽油混合燃料生命周期排放单目标和多目标优化模型.以生命周期CO,NO_x,PM,HC,SO_x,CO₂排放为优化目标,对木薯乙醇-汽油混合燃料生命周期排放进行了单目标及多目标优化,并进行了灵敏度分析.结果表明:多目标优化后木薯乙醇-汽油混合燃料的混合比例为63%.与原始值相比,多目标优化后生命周期CO排放略有升高,NO_x升高15%,PM升高19%;生命周期HC、SO_x和CO₂分别降低8%、50%和21%.     

中国技术灾害的时序变化与区域差异

近年来,由于生产的全球化、工业水平的迅速提高、技术系统的复杂化和规模化,以及社会结构急剧变化,我国技术灾害的发生频次增多,强度加剧,经济损失趋于上升.技术灾害继自然灾害之后,已逐渐发展为威胁我国人民生命安全和生存环境的主要灾种.基于技术灾害数据库,从致灾因子多度、风险频数、相对损失强度和综合风险指数等4个方面对中国技术灾害的时序变化和区域差异进行了分析与探讨,以期加深对中国技术灾害的系统认识,并为中国技术灾害的风险管理提供依据.     

人工神经网络在矿井多水源识别中的应用

以焦作矿区水化数据为例,选用Na++K+、Ca2+、Mg2+、Cl-、SO2-4、HCO-36种水化离子浓度作为识别矿井水源的依据,运用Matlab软件分别建立BP神经网络与Elman神经网络的矿井多水源识别模型。应用结果表明:与静态的BP神经网络相比,在结构上增加承接层的Elman神经网络在训练和仿真中拟合能力更强,识别精度更高和泛化能力更好;矿井地下水随着地下开采与扰动具有动态性,将具有非线性动态特征的Elman神经网络应用于矿井多水源的识别,对准确判断突水来源和分析地下水运移规律具有一定的辅助和指导意义。     

水泥灰三相泡沫的形成机理与稳定性试验研究

针对高硫矿石容易发生氧化自燃的危险,通常的灌浆、注砂、注惰气和喷洒阻化剂等技术还存在一些不足,提出一种以水泥灰为基料的三相泡沫来预防硫化矿石自燃的新技术。该技术是将水泥灰和水按一定的比例混合,同时加入一定比例的发泡剂和稳泡剂后,经物理机械方式发泡形成,集固、液、气三相材料的防灭火性能与一体。理论分析了水泥灰三相泡沫的形成与衰变机理,并通过正交试验,对三相泡沫的发泡倍数与半衰期进行研究,最后采用单因素实验,定量分析灰水质量比,发泡剂和稳泡剂浓度对三相泡沫稳定性能的影响,得到最佳泡沫配方。结果表明:当灰水质量比为1:5,发泡剂浓度为5g/L,稳泡剂浓度为8g/L时,制得的三相泡沫发泡倍数达到6倍,半衰期达到6h以上。     

多烟囱排放大气环境影响评价工作等级探讨

在环境影响评价工作中,确定大气环境影响评价工作等级是一项很重要的工作。比较了2个大气环境影响评价工程案例,分析了其大气评价工作等级高低及环境影响程度轻重。结果发现,多源项目与单源项目在估算模式上存在差异,对于部分多烟囱项目,按照现行大气评价工作等级划分方法可能有偏差,应进行修正。     

Preliminary shotgun glycoproteome analysis of N-glycosylation sites in serum proteins of ricin-intoxicated rats

In this study, the variations of serum glycoproteins after exposure to ricin toxin (RT) in Wistar albino rats are reported. For glycopeptide enrichment, Microcon YM-3 centrifugal filter device capture and micro-liquid chromatography (LC)–electrospray ionization (ESI)–tandem mass spectrometric (MS/MS) analysis were used; 74 trypsin-digested proteins were identified in the control group, and 58 in the RT-intoxication group. Additionally, 33 N-glycosides and 14 glycoproteins were identified in the control, and 50 and 21 in the RT-intoxication group.     

Detection and quantitation of trace levels of low molecular weight halocarbons (LMHs) associated with commercial sodium humate

Examination of vapor above commercial sodium humate and above 10wt% aqueous humate solution by gas chromatography (GC) revealed the presence of chloroform and trichloroethylene. Further examination of the aqueous humate by the purge and trap procedure confirmed the association of chloroform and trichloroethylene with the humate. GC/mass spectrometry analyses of methylene chloride extract of the humate established the association of LMHs with the humate. Improved headspace capillary GC technique showed that the humate contained not only chloroform, trichloroethylene but several other LMHs in the range 190 to 4000ng·kg^‐1.     

The influence of caste,class and gender in surviving multiple disasters: A case study from Orissa,India

Sociological and anthropological studies in India reveal that caste, class and gender in everyday life are both rigid and dynamic, but little is known about how they influence the survival mechanisms of women during ‘multiple disasters’, nor about how women negotiate with these structural mores to meet their cultural and biological needs. This is explored through the experiences of 12 women-headed households from different social castes in Orissa, India. Multiple disasters or disasters that occur in ‘one specific place’ (such as floods, cyclone and drought) are regular events in coastal parts of the state of Orissa. The super-cyclone of 1999, two floods of 2001 and 2003 and drought of 2000 and 2002 form the case study. Participant observation, in-depth interviews and documentary evidence complement the fieldwork. The findings suggest a complex interplay of caste, class and gender in surviving the multiple disasters including structural mutability under the purview of social organization. In doing so, women demonstrated their individual and collective agencies in order to meet their cultural and biological needs under severe crisis. This research stresses that gender and disaster studies must include a consideration of caste and class for effective disaster management and social vulnerability reduction.