Environmental and sustainability evaluation of livestock waste management practices in Cyprus

The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need formore conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support. An emerging trend is meta-analysis of a set of results from LCAs, which has the potential to clarify the impacts of a particular technology, process, product, or material and produce more robust and policy-relevant results. Meta-analysis in this context is defined here as an analysis of a set of published LCA results to estimate a single or multiple impacts for a single technology or a technology category, either in a statisticalmore » sense (e.g., following the practice in the biomedical sciences) or by quantitative adjustment of the underlying studies to make them more methodologically consistent. One example of the latter approach was published in Science by Farrell and colleagues (2006) clarifying the net energy and greenhouse gas (GHG) emissions of ethanol, in which adjustments included the addition of coproduct credit, the addition and subtraction of processes within the system boundary, and a reconciliation of differences in the definition of net energy metrics. Such adjustments therefore provide an even playing field on which all studies can be considered and at the same time specify the conditions of the playing field itself. Understanding the conditions under which a meta-analysis was conducted is important for proper interpretation of both the magnitude and variability in results. This special supplemental issue of the Journal of Industrial Ecology includes 12 high-quality metaanalyses and critical reviews of LCAs that advance understanding of the life cycle environmental impacts of different technologies, processes, products, and materials. Also published are three contributions on methodology and related discussions of the role of meta-analysis in LCA. The goal of this special supplemental issue is to contribute to the state of the science in LCA beyond the core practice of producing independent studies on specific products or technologies by highlighting the ability of meta-analysis of LCAs to advance understanding in areas of extensive existing literature. The inspiration for the issue came from a series of meta-analyses of life cycle GHG emissions from electricity generation technologies based on research from the LCA Harmonization Project of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy, which also provided financial support for this special supplemental issue. (See the editorial from this special supplemental issue [Lifset 2012], which introduces this supplemental issue and discusses the origins, funding, peer review, and other aspects.) The first article on reporting considerations for meta-analyses/critical reviews for LCA is from Heath and Mann (2012), who describe the methods used and experience gained in NREL's LCA Harmonization Project, which produced six of the studies in this special supplemental issue. Their harmonization approach adapts key features of systematic review to identify and screen published LCAs followed by a meta-analytical procedure to adjust published estimates to ones based on a consistent set of methods and assumptions to allow interstudy comparisons and conclusions to be made. In a second study on methods, Zumsteg and colleagues (2012) propose a checklist for a standardized technique to assist in conducting and reporting systematic reviews of LCAs, including meta-analysis, that is based on a framework used in evidence-based medicine. Widespread use of such a checklist would facilitate planning successful reviews, improve the ability to identify systematic reviews in literature searches, ease the ability to update content in future reviews, and allow more transparency of methods to ease peer review and more appropriately generalize findings. Finally, Zamagni and colleagues (2012) propose an approach, inspired by a meta-analysis, for categorizing main methodological topics, reconciling diverging methodological developments, and identifying future research directions in LCA. Their procedure involves the carrying out of a literature review on articles selected according to predefined criteria.« less

Transitioning to Environmentally Sustainable, Climate-Smart Radiation Oncology Care

Reply to L Aleksandrowicz et al.

Urban water systems around the world are going through a period of substantial change: they are evolving towards more complex water supply alternatives; are being placed under increasing pressure to achieve higher quality effluent and biosolids discharges; and are being confronted with a growing number of broader environmental management challenges. This thesis explored the use of the Life Cycle Assessment (LCA) methodology for assisting in that process of change, because of LCA’s strengths in combining practicality and flexibility with ‘big picture’ thinking. The overarching goals were to: (1) explore LCA principles that do or do not provide useful perspectives for urban water planners, and (2) identify situations where the benefits from life-cycle thinking will be impeded by gaps in data and modelling approaches. The analytical starting point was a comparison of two different configurations for a city-scale, integrated water supply and wastewater system: a ‘traditional’ approach dependent on low-energy dam-sourced mains water supply; and one with a more complex mix of contemporary water supply infrastructure intended to reduce the intensity of freshwater extraction and nutrient discharge. This change incurs a substantial increase in energy use, meaning the reduced pressure on local aquatic ecosystems may come at the expense of large increases in other life-cycle impacts. Notably however, the results generated in this thesis indicate that an exclusive focus on energy use is unlikely to be a robust approach to factoring these bigger picture environmental impacts into water industry decision making. Furthermore, it is the wastewater components of the system, rather than the water supply components, that make the largest contribution to most of the life-cycle impacts. An excessive focus on the energy or greenhouse gas (GHG) implications of growing urban water demands is, therefore, unlikely to chart the industry on an optimal course to a more environmentally benign system configuration. The estimates for direct (scope 1) greenhouse gas emissions in this thesis utilise a comprehensive set of locally relevant empirical data and expert knowledge. Based on that, direct emissions could comprise 20% or more of the overall GHG footprint for urban water infrastructure systems. The substantial spatial variability associated with all the largest direct emission sources should be an important consideration in the urban water decision making process. For assessing the option to dispose of sewage treatment plant (STP) biosolids onto farmlands, the uncertainty associated with estimating field fluxes of carbon and nitrogen is likely to be more important than the more traditional focus on biosolids transport energy. The second major case study considered in this thesis is focussed on the issue of biosolids reuse for agricultural purposes. When that practice is assessed against a broader set of impact categories than just energy use or GHG emissions, it becomes apparent that conventional life-cycle impact assessment (LCIA) models could bias against this as a preferred fertiliser source. With respect to nutrient discharge, metals toxicity, and phosphorus recovery, there is a disconnect between the results produced with these impact assessment models, and the scientific knowledge and industry priorities that currently guide the associated Australian policy debate. Growing use of LCA in the Australian agricultural sector will encourage the use of those very models that are least well placed to provide useful critique of biosolids applications to soils, hence could lead to a weakening of agricultural support for this practice. This could pose a risk for water utilities already dependent on farmers to absorb the majority of their STP biosolids. Phosphorus recovery and organics toxicity are both issues that could benefit from analysis incorporating the life-cycle perspective, since for both there is the prospect that water industry mitigation actions could shift the environmental burden to somewhere else in its supply chains. However, the analyses presented here suggest that the available LCIA models are not up to this task in either case. For the assessment of minerals resource depletion, the choice of impact assessment models could also have a substantial effect on the results that are obtained. A number of priority tasks are identified here, that would advance the LCA modelling framework so it can provide more meaningful contribution to urban water cycle planning. Ozone depletion assessment is another issue where the adoption of conventional LCIA approaches will fail to provide any useful insight to the urban water industry. There is a strong case for including N2O emissions in such assessments, and doing so clearly indicates this could have a material influence on the conclusions draw from analysis of water infrastructure systems. Quantifying the ozone enhancing effects of CO2 and CH4 emissions remains a bridge too far for the available LCIA models, but their increasing and complex influence suggests there may be a need for evolution in the metrics used to assess the ozone depletion issue. The urban water industry would likely be affected by any changes in international ozone-layer policy as a result of the increased scientific focus on these non-halocarbons, and should keep a watching brief on this issue. The work undertaken in this thesis clearly identifies the value that can be derived from the LCA approach to infrastructure and options analysis. Furthermore, the compilation of whole-of-system data provides benchmarks that offer valuable benefits for the task of considering environmental trade-offs – whether that be from comparing across different water system technology options, and/or comparing across impacts that occur at different localities or points in time, and/or comparing across different environmental issues. In all respects, the goal should be to strive for robust consideration across all important life-cycle contributions and impacts. The challenge is to appropriately direct effort into the issues that matter, rather than those that are easiest to deal with. Incidental benefits derived from detailed industry data collection can be substantial, however they do not necessarily ensure that LCA delivers its fullest value. Detailed consideration may well be required on uncertain issues that are beyond the traditional expertise of the analyst. Practitioners should also resist the temptation to uncritically adopt historical convention in the choice of LCA impact assessment models. Lack of rigour in the definition of inventory data and/or impact assessment models doesn’t prevent LCA studies from being completed, but it will greatly diminish the value of the LCA exercise.

Feeding a growing, increasingly affluent population while limiting environmental pressures of food production is a central challenge for society. Understanding the location and magnitude of food production is key to addressing this challenge because pressures vary substantially across food production types. Applying data and models from life cycle assessment with the methodologies for mapping cumulative environmental impacts of human activities (hereafter cumulative impact mapping) provides a powerful approach to spatially map the cumulative environmental pressure of food production in a way that is consistent and comprehensive across food types. However, these methodologies have yet to be combined. By synthesizing life cycle assessment and cumulative impact mapping methodologies, we provide guidance for comprehensively and cumulatively mapping the environmental pressures (e.g., greenhouse gas emissions, spatial occupancy, and freshwater use) associated with food production systems. This spatial approach enables quantification of current and potential future environmental pressures, which is needed for decision makers to create more sustainable food policies and practices.

Understanding the Climate Mitigation Benefits of Product Systems: Comment on “Using Attributional Life Cycle Assessment to Estimate Climate‐Change Mitigation…”

Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication

A critical review on life cycle assessment and plant-wide models towards emission control strategies for greenhouse gas from wastewater treatment plants

Taking Stock of Strategies on Climate Change and the Way Forward: A Strategic Climate Change Framework for Australia

A review of life cycle greenhouse gas (GHG) emissions of commonly used ex-situ soil treatment technologies

PDF HTML阅读 XML下载 导出引用 引用提醒 基于生命周期评价的上海市水稻生产的碳足迹 DOI: 10.5846/stxb201304240794 作者: 作者单位: 上海市农业科学院,上海市农业科学院,上海市农业科学院,上海市农业科学院,江西农业大学 作者简介: 通讯作者: 中图分类号: 基金项目: 国家科技部支撑计划后世博专项资助项目（2010BAK69B18）；上海市科委崇明科技攻关专项资助项目（10DZ1960101） Life cycle assessment of carbon footprint for rice production in Shanghai Author: Affiliation: Shanghai Academy of Agricultural Sciences,Seed management station of Shanghai,,,Jiangxi Agricultural University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:碳足迹是指由企业、组织或个人引起的碳排放的集合。参照PAS2050规范并结合生命周期评价方法对上海市水稻生产进行了碳足迹评估。结果表明：（1）目前上海市水稻生产的碳排放为11.8114 t CO2e/hm2，折合每吨水稻生产周期的碳足迹为1.2321 t CO2e；（2）稻田温室气体排放是水稻生产最主要的碳排放源，每吨水稻生产的总排放量为0.9507 t CO2e，占水稻生产全部碳排放的77.1%，其中甲烷（CH4）又是最主要的温室气体，对稻田温室气体碳排放的贡献率高达96.6%；（3）化学肥料的施用是第二大碳排放源，每吨水稻生产的总排放量为0.2044 t CO2e，占水稻生产总碳排放的16.5%，其中N最高，排放量为0.1159 t CO2e。因此，上海低碳水稻生产的关键在降低稻田甲烷的排放，另外可通过提高氮肥利用效率，减少氮肥施用等方法减少种植过程中碳排放。 Abstract:Global climate change has become an urgent issue of concern. Climate change will increasingly threaten our food production, security and even the survival of the human race. It also has a serious impact on natural ecosystems and the socioeconomic system. With the increasing scale and improvement in mechanization levels, the economic linkage between agricultural production and reduction of Greenhouse Gas (GHG) emissions is even closer in the agricultural production system. Therefore, the development of a low-carbon agricultural model is one of the long-term strategies for low-carbon economic growth throughout the country.This research of carbon footprint is introduced to measure the GHG emission over the rice production cycle. The carbon footprint can be defined as the total carbon emissions caused by an organization, event, product or person. At present, carbon footprints are used to measure GHG emissions in products, services, organizations, cities and countries and offer the decision basis for the formulation of GHG emission reduction schemes.Agricultural ecological systems, every year, also produce a lot of GHG emissions. The whole process of prenatal, intrapartum and postpartum agricultural production are closely related to energy consumption and GHG emission. In the process, all the agricultural inputs, such as chemical fertilizers, pesticides, seeds, cultivation, plant protection, agricultural machinery, irrigation and harvest also produce greenhouse gas emissions.The whole cultivation of rice involves methane (CH4) emission. This study shows that rice cultivation is one of the biggest sources of GHG emissions in crop cultivation. Rice paddies emit a large amount of methane in their water logged mode. Different irrigation modes have a great influence on the emission of GHG. Straw return is another factor that promotes GHG emissions. Soil organic content increases with the return of straw, with an increase in the soil methanogen activity, leading to increased methane emissions.The current carbon footprint research is the first time it has been used to measure the carbon emissions involved in rice production. The carbon footprint for rice production in Shanghai was assessed by the PAS2050 paradigm and life cycle assessment. The study area, located in Changjiang Farm, which belongs to the Guangming Group in Chongming County Shanghai City atlatitude 121°32'22' E, longitude31°40'23' N. Chongming County, in the Yangtze River Estuary, is a typical sub tropical monsoon climate with mild climate, abundant rainfall, annual average temperatures of 15.3 ℃, and annual precipitation of 1245 mm. It is the major grain production base for Shanghai city with winter wheat and summer rice forming their main planting patterns, which are typical for the middle and lower reaches of the Yangtze River rice-wheat rotation cropping pattern.The entire carbon emission of rice production in Shanghai was 11.8114 t CO2e (CO2-equivalents)/hm2, corresponding to a 1.2321 t CO2e/t rice grain yield. GHG emissions from paddy fields were the major source, which emitted 0.9507 t CO2e/t rice and accounted for 77.1% of total carbon emissions during rice production. Moreover, CH4 was the largest source for GHG emissions with a contribution rate of 96.6%.Chemical fertilizers were the second largest emission source in rice production. Chemical fertilizers emitted 0.2044 t CO2e for each ton of rice production, contributing 16.5% of total carbon emissions in rice production. N fertilizer was the biggest emission source, which released 0.1159 t CO2e/t rice.This research investigates the GHG emissions over the whole process of the Shanghai rice production cycle and reveals the energy consumption and GHG emissions in rice production. Thus, a rice carbon footprint is calculated by assessing the GHG emissions in Shanghai rice production. The results are beneficial for producing reduction plans of reducing GHG emissions in Shanghai rice production. Furthermore, the results will supply both practicable and theoretical foundations for drafting carbon footprint formulations in other industrial areas. 参考文献 相似文献 引证文献

The impact of anthropogenic greenhouse gas (GHG) emissions on climate change receives much focus today. This impact is however often considered only in terms of global warming potential (GWP), which does not take into account the need for staying below climatic target levels, in order to avoid passing critical climate tipping points. Some suggestions to include a target level in climate change impact assessment have been made, but with the consequence of disregarding impacts beyond that target level. The aim of this paper is to introduce the climate tipping impact category, which represents the climate tipping potential (CTP) of GHG emissions relative to a climatic target level. The climate tipping impact category should be seen as complementary to the global warming impact category. The CTP of a GHG emission is expressed as the emission’s impact divided by the ‘capacity’ of the atmosphere for absorbing the impact without exceeding the target level. The GHG emission impact is determined as its cumulative contribution to increase the total atmospheric GHG concentration (expressed in CO2 equivalents) from the emission time to the point in time where the target level is expected to be reached, the target time. The CTP of all the assessed GHGs increases as the emission time approaches the target time, reflecting the rapid decrease in remaining atmospheric capacity and thus the increasing potential impact of the GHG emission. The CTP of a GHG depends on the properties of the GHG as well as on the chosen climatic target level and background scenario for atmospheric GHG concentration development. In order to enable direct application in life cycle assessment (LCA), CTP characterisation factors are presented for the three main anthropogenic GHGs, CO2, CH4 and N2O. The CTP metric distinguishes different GHG emission impacts in terms of their contribution to exceeding a short-term target and highlights their increasing importance when approaching a climatic target level, reflecting the increasing urgency of avoiding further GHG emissions in order to stay below the target level. Inclusion of the climate tipping impact category for assessing climate change impacts in LCA, complimentary to the global warming impact category which shall still represent the long-term climate change impacts, is considered to improve the value of LCA as a tool for decision support for climate change mitigation.

Defining sustainable diets by comparing greenhouse gas emissions from different food groups: a systematic review

Evaluation of the effect of accounting method, IPCC v. LCA, on grass-based and confinement dairy systems’ greenhouse gas emissions

Major US electric utility climate pledges have the potential to collectively reduce power sector emissions by one-third