饮用水水源地健康风险研究和实例分析

本论文以安庆市9个饮用水源地作为健康风险评价对象,选取2005～2008年的部分水质资料,运用健康风险评价模式,结合安庆地区人群状况修正部分参数,对该地区9个水源地经饮水途径造成的健康风险进行计算和评价。结果表明:化学致癌物所致的健康风险远远高出非致癌物,水源地健康风险主要来源于化学致癌物,在所评价的水源地中以铬(六价)的风险值最大,且有8个水源地铬(六价)的风险值均超过国际辐射防护委员会推荐的最大可接受风险水平,最高值出现在花凉亭水库。     

检验用起重机供电电源断错相自动切换装置的设计

起重机供电电源断错相保护功能的常规检验方法较为烦琐,有时还可能影响检验结果的正确判断.设计一种供电电源断错相自动切换装置用于断错相保护功能的检验,以降低劳动强度、提高检验效率,并有效保证检验结论的正确性.     

A City Wide Assessment of the Financial Benefits of Rainwater Harvesting in Mexico City

We assess the potential financial benefits of rooftop rainwater harvesting (RWH) in Mexico City from the perspective of property owners and entrepreneurs. A bottom‐up approach was followed by evaluating RWH at individual buildings and aggregating the results to a borough/city level. We consider sector‐specific water demands, potable and nonpotable uses, and user‐specific water tariffs. We find that RWH is economically most beneficial for nondomestic users rather than for small domestic users, who are often the target of RWH interventions. Based on a net present value analysis, a potable RWH system is not favored for most domestic users under the current subsidized municipal water tariff structure. Our analysis only considers capital and maintenance expenses, and not other benefits related to increased access to water and reliability, or social benefits from a switch to a RWH system. If the initial capital expense for RWH is partly financed by transferring the water subsidy to an entrepreneur, then RWH becomes financially attractive for a wide range of domestic users. To improve water access in Mexico City, RWH is attractive in the most marginalized boroughs where water use is currently lower and precipitation is higher. For domestic users relying on trucked water, RWH can have great financial benefits. Our approach provides quantitative data with high spatial specificity, highlighting the places and types of users that would benefit most from RWH.     

第三方物流安全的现状分析及展望

选择一个有代表性的第三方物流企业样本并结合相关资料进行安全现状研究;分析第三方物流的安全观念和安全管理人员的配备,运输和仓储两个核心环节的安全现状;采用适宜方法和资料从供应链角度进行安全管理分析。指出我国第三方物流在运输、仓储等环节的安全问题较多;从供应链角度来理解和管理物流安全,物流安全管理是发展方向,应建立健全第三方物流事故分类统计信息系统。     

A simple chemical free arsenic removal method for community water supply - A case study from West Bengal, India

This report describes a simple chemical free method that was successfully used by a team of European and Indian scientists (www.qub.ac.uk/tipot) to remove arsenic (As) from groundwater in a village in West Bengal, India. Six such plants are now in operation and are being used to supply water to the local population (www.insituarsenic.org). The study was conducted in Kasimpore, a village in North 24 Parganas District, approximately 25 km from Kolkata. In all cases, total As in treated water was less than the WHO guideline value of 10 μg L⁻¹. The plant produces no sludge and the operation cost is 1.0 US$ per day for producing 2000 L of potable water.     

关于空调谐波和闪烁测试分析

随着空调的发展,开关电源、可控硅及相关非线性器件的大量应用,一方面提高了人们对电能的利用效率;另一方面,非线性的电能转换又在电网中引入了大量谐波电流。作为对电网质量的控制及维护人体健康,我国相继出版了两个标准：GB17625.1《电磁兼容限值低压电气及电子设备发出的谐波电流限值（设备每相输入电流≤16A）》及GB17625.2《电磁兼容限值对额定电流不大于16A的设备在低压供电系统中产生的电压波动和闪烁的限值》（此两标准分别等同于IEC61000-3-2和IEC61000-3-3）。从标准号看,均为强制性标准,特别是在我国开展的强制性产品认证中,有相当一部分电气和电子产品需要进行谐波电流的发射测试,所以值得各相关企业特别注意。本文主要分析了其危害性、起因、对策。     

水厂澄清池排泥水和滤池反冲洗水处理工艺设计

为减少水厂生产废水排放量,节约水资源费用,建设水厂排泥水处理工程.水厂制水规模20万m3/d,设计干污泥总量为31.14 t/d.滤池反冲洗水由排水池收集,经调节后送至澄清池回用.澄清池排泥水进人排泥池,与排水池底泥一道经过浓缩及机械压滤脱水,浓缩池上清液回流至排水池.     

劳动力转移、性别差异与农地流转及合约选择

通过构建“劳动力转移-性别差异-农地流转及合约选择”分析框架,分析劳动力转移性别差异背后的行为经济学含义,进而探讨不同性别的劳动力转移对农户农地流转供给决策与合约选择的差异化影响机制。理论研究表明,女性在家庭中起粘结家庭成员的作用,女性劳动力非农就业更能体现家庭的“离农”,因而女性劳动力的非农就业行为对农户农地流转供给决策具有更明显的促进作用;男性是农户家庭在村庄中排他能力的标志,具有不可忽视的农地流转风险规避功能,因而男性劳动力的外出就业距离对农户农地流转的合约选择起决定性作用。利用全国9省(区)4772个农户样本数据进行实证分析,计量结果表明:①女性劳动力非农就业比例每增加10%,农户转出农地面积占承包地面积比例增加1.06%;②男性劳动力县外就业比例每增加10%,农户转出农地时签订关系型合约的可能性增加1.11%;③男性劳动力县外就业比例每增加10%,意愿合约形式为无合同的可能性增加0.63%,意愿合约形式为口头合同的可能性增加0.29%,意愿合约形式为书面合同的可能性减少0.91%。这意味着,为了劳动力流转市场与农地流转市场更流畅地互动,应为农村女性劳动力营造一个更加合适、有利和公平的非农就业环境,这可成为未来农村劳动力就业扶持政策的重要方向。另一方面,促进正式契约与关系型合约的有机衔接,有利于农地流转合约的正式化与规范化,从而为农地流转市场的健康发育提供有力保障。     

废弃电器电子产品产生量测算方法探究

选取我国废弃电器电子产品中回收处理数量最多、获得政策基金补贴最多的电视机产品,通过对其销量、最长使用年限、报废高峰期、报废系数的分析,采用市场供给A模型测算其报废产生量,并进一步对废弃电视机产生量测算结果与实际处理量做对比分析,提出废电视机产生量的修正方法。最终测算得到废电视机产生量为4 213万台,与同年电视机的实际处理量持平。     

A conceptual framework for Jatropha seed yield estimation using adaptive neuro-fuzzy inference system (ANFIS) modelling

Jatropha seed yield prediction is one of the most important influencing factors for developing a supply chain modelling of Jatropha seed. The oil from this Jatropha seed is used to blend with diesel to obtain biofuel (Hiromi, Yamamoto, Junichi Fujino, and Kenji Yamaji. 2001. “Evaluation of Bioenergy Potential with a Multi-regional Global-Land-Use-and-Energy Model.” Biomass and Bioenergy 21: 185–203). The Jatropha plant is easy to cultivate and produces high yield if properly maintained. The main focus of this study is to utilize uncultivable wastelands for cultivating Jatropha seeds. As suggested by Liu et al. (Liu, Xiaohong, David B. Grant, Alan C. McKinnon, and Yuanhua Feng. 2010. “An Empirical Examination of the Contribution of Capabilities to the Competitiveness of Logistics Service Providers: A Perspective from China.” International Journal of Physical Distribution & Logistics Management 40 (10): 847–866), the effectiveness of prediction affects the functional characteristics of a supply chain network design. The yield prediction of Jatropha seeds has two important roles which include (i) the identification of external parameters that affects the yield and (ii) the detection of internal attributes that changes the growth characteristics of the Jatropha plant. The development of the fuzzy inference system is characterized by a large number of input variables (Dobrila Petrovic. 2001. International Journal of Production Economics 71: 429–438). A Matlab programming software was used to integrate an adaptive neuro-fuzzy inference system. This approach gave the numerical as well as graphical output that was used to interpret the final result. The root mean square error values were identified for the given inputs which were then compared with the trained input variables to select the best input among the given alternative variables.