基于干湿分类优化的城市生活垃圾收运处理系统研究

为解决"垃圾围城"困境,在充分考量我国城市生活垃圾特点、居民生活垃圾分类能力以及垃圾处理可行方案的前提下,提出以干湿分类为基础,并对干垃圾进行二次分类的城市生活垃圾分类体系。基于此分类体系,对既有生活垃圾收运处理系统的优化调整进行了探讨,提出优化调整原则。最后,以郑州市为例,给出了城市生活垃圾收运处理系统优化调整的具体方案,并证明了新的城市生活垃圾分类体系,以及对城市生活垃圾收运处理系统的优化调整,在提高垃圾资源化率和减少填埋量方面的有效性。     

Incorporation of neural network analysis into a technique for automatically sorting lightweight metal scrap generated by ELV shredder facilities

In an attempt to improve the technique of automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape, realized by the combination of a three-dimensional (3D) imaging camera and a meter to weigh a moving object on a conveyor belt, neural network analysis was integrated into the scrap identification algorithm, and its effect on the sorting accuracy of this technique was examined using approximately 1750 pieces of scrap sampled at three different end-of-life vehicle (ELV) shredder facilities. As a result, the newly developed algorithm, in which an unknown fragment is identified by passing through two discriminant analyses and one neural network analysis, was demonstrated to greatly decrease the time required for data analysis to prepare the identification algorithm without reducing the sorting accuracy. The average sorting accuracy for a mixture of three types of lightweight metal fragments was found to be 85%, based on the fact that the fist-sized fragments of cast aluminum, wrought aluminum, and magnesium sampled at the three ELV shredder facilities had similar apparent densities and 3D shapes. It was also suggested that still higher sorting performance is possible by repeating the procedure of modifying the database and re-learning of the neural network in the identification algorithm.     

利用冲击力信号判断泥石流颗粒垂向分选的试验研究

分别提出根据冲击力数据的波动强度和峰值情况进行泥石流颗粒垂向分选研究的系统方法,并配置了三组不同容重(2 095 kg/m3、2 008 kg/m3和1 960 kg/m3)的粘性泥石流样品开展泥石流冲击试验。两种方法的分析结果基本一致,即容重为2 095 kg/m3的泥石流分选不明显,其他两组泥石流呈现出正粒序分布且容重越小分选越显著。量纲分析表明,开展的试验粘滞力在运动中起主导作用,颗粒之间作用力较小,不容易发生反粒序分选,这与通过冲击力分析颗粒垂向分选的结果一致,因此提出的利用冲击力信号判断泥石流颗粒垂向分选的系统方法具有适用性。     

常态化疫情防控背景下区域应急医疗物资选址-分配模型*

在常态化疫情防控背景下,为避免本土病例造成区域不同需求主体防护物资短缺问题,构建最小化医院物资集散点需求未满足率加权和、最大化物资购买集中点分配公平性的储备库选址-分配模型,并基于某市相关数据,利用改进的非支配排序遗传算法（NSGA-Ⅱ）进行仿真研究。结果表明:某市应选择储备库数目为5,在物资分配时考虑物资防护等级要求,可减少医院物资集散点物资浪费,增加物资购买集中点获得量。     

Willingness to pay for clean air in China

We use a residential sorting model incorporating migration disutility to recover the implicit value of clean air in China. The model is estimated using China Population Census Data along with PM2.5 satellite data. Our study provides new evidence on the willingness to pay for air quality improvements in developing countries and is the first application of an equilibrium sorting model to the valuation of non-market amenities in China. We employ two instrumental variables based on coal-fired electricity generation and wind direction to address the endogeneity of local air pollution. Results suggest important differences between the residential sorting model and a conventional hedonic model, highlighting the role of moving costs and the discreteness of the choice set. Our sorting results indicate that the economic value of air quality improvement associated with a one-unit decline in PM2.5 concentration is up to $8.83 billion for all Chinese households in 2005.     

大连实施垃圾分类回收积极推进垃圾资源再生利用产业化

大连在全国率先创建新型垃圾分类回收体系,实现废旧物资回收与垃圾分类回收在同一个垃圾分类回收站内完成,有利于各类废物资源集中收集、分类回收、资源化利用或处理,彻底改革了我国传统落后的废旧物资回收与垃圾收集处理方式,为废旧物资与垃圾资源再生与循环利用提供了保障条件,也为垃圾处理产业化奠定了坚实的基础。     

我国电子垃圾回收存在的问题与解决途径

介绍了我国电子垃圾回收利用存在的问题与现状、国外可供借鉴的经验,以及电子垃圾分类情况,最后提出我国电子垃圾再生利用的产业化发展方向。     

上海与东京生活垃圾处理回收体系之比较

进入21世纪，上海提出建设循环经济型国际大都市的战略目标，其中很重要的一个领域就是要构筑高效、实用的生活垃圾处理回收体系。文章分析了上海与东京现行的生活垃圾处理回收体系的特点，并对二者进行了比较。发现上海体系存在着垃圾处理方式的简单化，垃圾分类收集形式化，废品回收无序化，对策视点局限性和管理系统封闭性等诸多缺陷。通过借鉴东京体系的成功经验，建议实施法律和经济的手段。不断改进和完善上海体系。     

成都市食品垃圾分类收集模式研究

文章以成都为例对食品垃圾的分类收集进行了探讨。作者先把食品垃圾来源分为4种类型,即先根据产生量的大小,把食品垃圾源地分为家庭型和公共型2类,家庭型产生源即指单个的分散的家庭,公共型产生源则指为公众提供饮食服务的各类单位。然后,再根据居住的建筑物结构的不同,把家庭型来源地细分成居民小区、零散高层楼房、低矮建筑3种;在此基础上,作者分别分析阐述了4类来源地的4种分类收集模式。     

Combining Flow Cytometry and Real-Time PCR Methodology to Demonstrate Consumption by Prymnesium parvum1

Bowers, Holly A., Andreas Brutemark, Wanderson F. Carvalho, and Edna Granéli, 2010. Combining Flow Cytometry and Real-Time PCR Methodology to Demonstrate Consumption by Prymnesium parvum. Journal of the American Water Resources Association (JAWRA) 46(1):133-143. DOI: 10.1111/j.1752-1688.2009.00397.x Abstract: Harmful algal bloom species can persist in the environment, impacting aquatic life and human health. One of the mechanisms by which some harmful algal bloom species are able to persist is by consumption of organic particles. Methods to demonstrate and measure consumption can yield insight into how populations thrive. Here, we combine flow cytometry and real-time PCR to demonstrate consumption of a cryptophyte species (Rhodomonas sp.) by a toxic mixotrophic haptophyte (Prymnesium parvum). Using flow cytometry, the feeding frequency of a population of P. parvum cells was calculated using the phycoerythrin (PE) fluorescence signal from Rhodomonas sp. and the fluorescence of an acidotropic probe labeling the food vacuoles. Feeding frequency increased in the beginning of the experiment and then began to decline, reaching a maximum of 47.5% of the whole P. parvum population after 212 min. The maximum number of consumed Rhodomonas sp. cells was 0.8 per P. parvum cell, and occurred after 114 min corresponding to an ingestion rate of 0.4 Rhodomonas sp. cells/P. parvum/h. Cells from the feeding P. parvum population were sorted, washed, and subjected to a real-time PCR assay targeting the cryptophyte 18S locus. There was a correlation between cycle threshold (Ct) values and number of consumed prey cells calculated by fluorescence. Overall, this study shows that flow cytometric analysis, of the acidotropic probe and prey pigments, is an efficient and rapid tool in enumerating food vacuoles and the number of prey cells consumed. Furthermore, we suggest that real-time PCR can be applied to cells sorted by flow cytometry, thus allowing for the detection and potential quantification of the targeted prey cells.