基于互联网大数据的成都餐饮源细颗粒物排放空间分配研究

餐饮过程排放的废气正成为大城市大气污染的重要来源之一.根据成都市2013年排放清单更新的研究成果,综合运用本地化的餐饮排放因子、排放活动水平的调查成果和成都市统计年鉴的统计数据等信息,对成都市餐饮源的PM_(2.5)排放总量进行了估算,其结果为4740 t·a~(-1).为了对区域的餐饮废气排放进行空间分配,本文抓取了互联网兴趣点POI信息.通过这些信息,对成都市的社会餐饮、学校食堂餐饮和家庭餐饮的空间来源进行了表征,对成都市生活源中餐饮污染物排放的空间分布规律进行了探索,并提出了新的餐饮源高分辨空间分配方法.结果表明,基于POI空间分配的2013年成都餐饮源单位面积年排放强度均值为0.29 t·km~(-2)·a~(-1),主城区均值为3.47 t·km~(-2)·a~(-1),全市的排放量分布区间为0~35.7 t·km~(-2)·a~(-1).互联网POI信息可以作为研究城市餐饮源空间分布的重要数据来源,在实际应用上更适于表征社会餐饮点源污染.     

Two-echelon closed-loop supply chain deterministic inventory models in a batch production environment

This paper considers a two-echelon closed-loop supply chain consisting of a manufacturer and a remanufacturer at the upper echelon and a retailer at the lower echelon. The retailer faces a constant demand from customers, which is satisfied through recovered and new products received from the remanufacturer and the manufacturer, respectively. The manufacturer produces the product with finite rate, whereas the recovery of returned product is instantaneous at the remanufacturer. We develop three models to determine the optimal production-inventory policy of the players for minimizing the joint total cost of the system. In the first model, the retailer receives the product in batches from the manufacturer and the remanufacture simultaneously, whereas in the second and third models, the batches are received alternatively. In the third model, however, the procurement of raw material at the manufacturer is also considered. Numerical illustration is presented to examine the impact of certain key parameters.     

A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom–up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO₂, NO_x, CO, PM₁₀, PM_2.5 and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO₂ emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM₁₀ and PM_2.5 emissions, accounting for 97.7% of the total PM₁₀ and 97.2% of PM_2.5 emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO₂ emission estimates with a range of −16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_2.5, PM₁₀ and CO emissions.     

The greenhouse gas balance of the Province of Siena

There is a profound debate over how to assign greenhouse gas (GHG) responsibilities; therefore, we have decided to follow IPCC guidelines, as they offer the only standardized method. We have identified each type of greenhouse emission and its level of absorption. We have studied the province and its districts and municipalities. We have determined that the energy sector is that with the highest level of emissions, even if the per capita emissions of the Province of Siena are very low. This is caused by a very low level of industrialization and the presence of a local geothermal production of energy. In order to highlight this aspect, we have considered scenarios both with and without geothermal production. Our research was then focused on single districts (groups of homogenous municipalities) and municipalities, where we found great differences among the greenhouse emissions of the areas. We have constructed a map of the greenhouse emissions of the whole province. It has been interesting to note that there are 14 municipalities with net negative emissions, seven with low positive emissions, 12 with medium positive emissions and three with elevated positive emissions. These latter correspond to the main city and to two of the most industrialized municipalities.     

臭氧前体物排放清单相关模型及应用

欧美等国家对于O_3污染的研究开展较早,已建立较成熟的O_3污染生成、扩散及空气质量等模型。文章主要介绍评述了美国环保局推荐使用的计算O_3前体物的相关模型(MOVES、NONROAD、SMOKE、EMFAC和EDMS),从基本原理和功能、污染源类型、研究尺度、所需参数等方面对比分析各模型的特点和适用范围,并综述其国内外研究应用情况;讨论了中国在这些模型的使用方面应该注意的问题,如加强开展模型计算结果验证和基础实验获得本土化的模型参数,以及中国开发的相关模型的优势和适用性等。     

常州地区植被排放VOC的估算研究

通过对2011年常州地区各类植物VOC排放因子,以及各类植被分布面积等数据统计分析,采用BEIS模型为参考的估算方法,建立起常州地区植被VOC的排放清单。结果表明,植被所排放VOC的变化规律既与植物本身有关又与气温和太阳辐射有关,区域内年植被VOC的总排放量为1．13×104 t。     

常州市裸露地面风蚀扬尘排放清单及分布特征研究

以2014年为基准年,以常州市行政边界为研究区域,利用卫星遥感解译的土地利用类型和裸土面积信息,并通过国土、气象等部门提供的土壤类型、气象因子等相关资料获取本地化因子和参数,估算常州市行政区域内裸露地面土壤扬尘中颗粒物的年排放量。结果表明:常州市裸露地面主要分布在金坛市、溧阳市和武进区,市中心区域最少,裸露土地利用类型主要为农田、滩涂、裸露山体、荒地及未硬化或未绿化的空地等;2014年常州市行政区域内裸露地面风蚀扬尘中TSP、PM 10、PM 2.5的年排放量分别为62.66 t、5.63 t、0.24 t,其中,金坛市土壤起尘量最大,其次为武进区,再次为新北区、溧阳市,市中心区域土壤扬尘最少。     

产业园区碳排放核算方法研究

产业园区是一个协同实现经济效益和环境效益的重要单元,同时也是重点碳排放源,其转型和发展对实现国家和地区的低碳战略起到关键作用。碳排放核算方法影响园区碳排放水平的评估,是制定有效碳减排策略的基础。产业园区碳排放核算需要明确核算对象、核算结果表征和核算范围。本研究首先界定核算对象,辨析"二氧化碳量"与"二氧化碳当量"两种表征方式,认为二氧化碳量可以反映产业园区能源结构,而二氧化碳当量则能够量化园区的不同排放过程和环境效应。同时,从价值链角度出发,将园区碳排放核算划分为三个Scope,分别反映园区直接排放和上下游关联企业的间接排放。然后,从排放活动和部门关联出发,分析三种典型碳排放核算方法(清单分析法、投入产出分析和生态网络分析),进一步划分为流量分析模式和结构分析模式。流量分析模式主要从排放量角度对园区内部及其上下游产业链相关的碳排放活动进行核算;结构分析模式则聚焦园区相关碳排放部门和价值链的组织形式,从投入产出或者网络关联角度开展分析。研究发现清单分析法可以自下而上量化产业园区碳排放活动的流量,投入产出法则自上而下揭示碳排放单元的直接和间接流量以及平行结构,而生态网络分析则采用混合式核算模式刻画碳排放单元之间的网状关联结构。最后,本研究初步提出了产业园区碳排放核算方法的研究框架,力求提高排放因子精度,改进核算模式和建立动态核算模型,对碳排放总量和结构进行预测,从而实现产业园区的低碳发展。     

中国城市温室气体清单研究

介绍城市温室气体排放特征和国际城市温室气体清单研究进展,研究了全球城市化和城市CO2排放的强正相关性,以及中国城市清单方法研究起步较早但发展缓慢的特点。分析了城市温室气体清单相对国家清单的特征,即城市清单编制往往采用消费模式,区别于国家清单的生产模式;国际城市清单中往往包括了由于外调电和供暖产生的CO2排放,同时城市温室气体清单编制灵活性和针对性更强。针对我国城市温室气体清单研究的不足,提出了我国城市温室气体清单方法,强调中国城市采用尺度1+尺度2的范围,暂不考虑尺度3的范围,即生产+消费的混合模式,并且在城市市域温室气体排放研究的基础上,加强狭义城市温室气体排放水平的研究。选择北京市和纽约市,对比分析了两个城市CO2排放特征,结果显示,在确定的清单体系下,北京市和纽约市具有较好的可比性。纽约市的总排放量(尺度1+尺度2)略低于北京市排放量,人均排放量略高于北京市。     

The environmental attitudes inventory: A valid and reliable measure to assess the structure of environmental attitudes

Environmental attitudes (EA), a crucial construct in environmental psychology, are a psychological tendency expressed by evaluating the natural environment with some degree of favour or disfavour. There are hundreds of EA measures available based on different conceptual and theoretical frameworks, and most researchers prefer to generate new measures rather than organize those already available. The present research provides a cumulative and theoretical approach to the measurement of EA, in which the multidimensional and hierarchical nature of EA is considered. Reported are findings from three studies on the development of a psychometrically sound, multidimensional inventory to assess EA cross-culturally, the Environmental Attitudes Inventory (EAI). The EAI has twelve specific scales that capture the main facets measured by previous research. The twelve factors were established through confirmatory factor analyses, and the EAI scales are shown to be unidimensional scales with high internal consistency, homogeneity and high test-retest reliability, and also to be largely free from social desirability.