新安江流域土地利用结构对水质的影响

以新安江上游流域为研究区域,用该流域2010年5月TM遥感影像图作为底图,通过实地野外调查获取了新安江流域的土地利用图.运用ArcGIS的水文、空间分析功能,将流域划分为8个子流域,并分析各子流域的土地利用结构.根据2010年1～12月的水质监测数据,分析TN、TP、高锰酸盐指数、NH4+-N、粪大肠菌群的时空变化特征,以及与土地利用结构之间的定量关系.结果表明,TN和NH4+-N有明显的时间变化特征,为枯时期>丰水期>平水期,而其他几种指标没有明显的时间变化.在空间上,整体上呈现出渔梁、浦口污染最为严重.流域内土地利用结构与水质之间的相关关系表现为:耕地、水体、建筑用地起源作用,林地、草地起汇作用.在年度上看,耕地对TN、NH4+-N、高锰酸盐指数影响最大,草地对TP影响最大;不同水期上,枯水期和丰水期,对各指标影响最大的土地利用类型为耕地,在平水期,对TN、TP、粪大肠菌群影响最大的土地利用类型分别为耕地、草地、林地.     

医疗废物焚烧处理核心技术的开发及应用

国内已建成的医疗废物焚烧设施目前普遍存在进料系统不稳定、玻璃结渣和高浓度HCl气体的排放的问题。这些技术难点已成为医疗废物焚烧处置行业发展的瓶颈。本文介绍了可解决上述问题的"可调节医疗废物恒流量进料技术"、"医废焚烧防玻璃结渣技术"和"含高浓度氯化氢医废尾气处理技术"三项医疗废物焚烧处理核心技术的主要特点及技术指标与应用实例。     

模糊线性规划在灾害对策中的应用

本文把模糊线性规划方法引入灾害对策的研究当中。着重讨论了疏散人口和疏散地点间的关系,简单介绍了模糊疏散距离及其初步确定方法。     

直链烷基苯指示城市化过程初步研究

本研究以深圳市作为典型城市化地区代表,以直链烷基苯(LABs)作为环境分子标志物,在分析土壤LABs空间分布特征基础上,通过土壤LABs污染水平与城市化过程指标的相关分析,对直链烷基苯指示城市化过程可能性开展初步研究.结果表明,城市化过程中人口规模、用水状况、城市建设、收入与消费及产业结构这5个方面的因素与土壤中LABs污染水平均有相关性,表明环境LABs水平与城市化过程相关,可以作为环境分子标志物用于指示城市化过程.     

新时期医疗废物处置技术体系的变革及发展

近20年来,我国在推进医疗废物无害化管理和处理处置方面开展了大量的工作,成绩举世瞩目。但处于新的历史时期,如何更好地基于可行技术,探索与其相匹配的管理模式,解决医疗废物处理处置短板已成为迫在眉睫的工作。我国目前存在针对医疗废物处理处置技术适用性考虑不足、农村及偏远地区医疗废物处置能力缺乏、医疗废物应急处置能力存在短板以及医疗废物领域科技创新能力有待提升等问题。因此,结合各种医疗处置技术特点及适用性,提出基于技术的适用性推进医疗废物处理处置技术布局优化、通过管理和技术进步解决农村和边远地区医疗废物处置难题、合理配置疫情期间应急处置能力以及推进科技创新等建议,为打造新时期医疗废物处理处置技术体系提供参考。     

Seat belt use in the ambulance patient compartment by emergency medical services professionals is low regardless of patient presence,seating position,or patient acuity

Background: Inconsistent use of seat belts in an ambulance may increase the risk of injury for emergency medical services (EMS) professionals and their patients. Our objectives were to: (1) describe the prevalence of seat belt usage based on patient acuity and seat location, and (2) assess the association between EMS-related characteristics and consistent use of a seat belt. Methods: We administered a cross-sectional electronic questionnaire to a random sample of 20,000 nationally-certified EMS professionals, measuring seat belt use in each seating location of an ambulance during transport of stable, critical, or no patients. We included practicing, non-military, emergency medical technicians or higher who reported working in ambulances. We used multivariable logistic regression models to estimate the odds of consistent (≥50% of the time) use of seat belts for the rear-facing jump seat and right-sided crew bench during transport of stable and critical patients. Results: A total of 1431 respondents were included in the analysis. Patient compartment seat belt use varied with the highest use in forward-facing seats when no patient was being transported (59.8%) and lowest use in the left-side “CPR” seat with a critical patient (9.4%). Only 40.2% of respondents reported an agency policy regarding seat belt use while riding in the patient compartment. In all multivariable logistic regression models, advanced life support level certification and fewer years of experience were associated with decreased odds of consistent seat belt use. An agency seat belt policy was strongly associated with increased odds of seat belt use in the patient compartment. Conclusions: Seat belt use was low and varied by seating location and patient acuity in the patient compartment of an ambulance. Practical Applications: EMS organizations should consider primary prevention approaches of provider education, improved ambulance designs, enactment and enforcement of policies to improve seat belt compliance and provider safety.     

Developing a fuzzy linear programming model for locating recovery facility in a closed loop supply chain

In this research a closed loop supply chain is designed which incorporates reverse logistics and forward logistic system simultaneously. In the design of reverse logistic system, recovery options are embedded in traditional supply chain for treating returned products. The recovery system includes collection centres, remanufacturing plants and disposal centres. Since the product return is supply driven, there is an uncertainty about it. In the proposed configuration for closed loop supply chain, the optimised configuration for supply chain in terms of locating recovery plants is developed. Accordingly, a fuzzy mixed integer linear programming model develops to deal with the uncertainty of returning products by customers. A general-purpose solver (LINGO 8.0) and a Meta heuristic approach (genetics algorithm) are implemented to solve the proposed model. The answers are compared by defining indexes and then the optimal answer, configuration and variables are identified. This solution will suggest a new design of supply chain network in which waste of materials is minimised and the new raw materials are necessary only when the used products may not be recovered by recovery options.     

ECONOMIC ANALYSIS OF IRRIGATION PRODUCTION FUNCTIONS: AN APPLICATION OF LINEAR PROGRAMMING1

ABSTRACT: Economic analysis of irrigation production functions is discussed using linear programming. The method provides advantages over the partial one-crop type of analyses because it captures intercrop tradeoffs in water and land use in response to economic policies or changes in water supply. A numerical example is used.