生活垃圾填埋场恶臭污染分析及控制措施探析

生活垃圾填埋场在运营过程中容易产生恶臭气体,恶臭气体的控制也是困扰生活垃圾填埋场环保运营的一个主要环保问题。恶臭气体的无组织排放易引发填埋场周边居民环保投诉。因此,全面查找恶臭气体来源,制定有针对性控制措施,加强恶臭污染物的收集处理,将有效降低恶臭污染物对周边环境的影响,提升生活垃圾填埋场周边的大气环境质量。     

环境恶臭评价方法的新探讨

对环境恶臭物质的臭气强度评价方法进行了探讨，求出了８种臭气物质的线性相关系数ｒ、ａ、ｂ值，阐明了嗅觉评价与臭气物质浓度检测评价间的内在联系（Ｃ′／Ｃ＝１０△Ｉ／ｂ）。提出了Ｈ２Ｓ、ＮＨ３的浓度随强度降低的“１０倍衰减规律”和“５倍衰减规律”，并将浓度估计值与实测值进行了比较。     

含硫原油炼制过程的恶臭污染与防治

含硫原油炼制过程中，原料、中间体、产品中含流量富，恶臭污染源数量增多，污染加重．恶臭污染的防治办法有改进炼油生产工艺、加强环保管理、采取污染治理措施等。     

固体废物堆肥处理过程中生物过滤及其臭气处理技术

臭气控制与处理是堆肥过程不可缺少的环节，国际上对其重视程度越来越高。生物过滤技术是新型的堆肥臭气处理技术，十几年来各国研究人员对其进行了大量研究。介绍了该方法的发展和现状，并对各种生物过滤器的选材、结构和特点进行了归纳。同时总结了堆肥臭气的起因以及其它各种臭气控制与处理方法。     

Influence of Representation Targets on the Total Area of Conservation-Area Networks

Abstract:  Systematic conservation planning typically requires specification of quantitative representation targets for biodiversity surrogates such as species, vegetation types, and environmental parameters. Targets are usually specified either as the minimum total area in a conservation-area network in which a surrogate must be present or as the proportion of a surrogate's existing spatial distribution required to be in the network. Because the biological basis for setting targets is often unclear, a better understanding of how targets affect selection of conservation areas is needed. We studied how the total area of conservation-area networks depends on percentage targets ranging from 5% to 95%. We analyzed 12 data sets of different surrogate distributions from 5 regions: Korea, Mexico, Québec, Queensland, and West Virginia. To assess the effect of spatial resolution on the target-area relationship, we also analyzed each data set at 7 spatial resolutions ranging from 0.01°× 0.01° to 0.10°× 0.10°. Most of the data sets showed a linear relationship between representation targets and total area of conservation-area networks that was invariant across changes in spatial resolution. The slope of this relationship indicated how total area increased with target level, and our results suggest that greater surrogate representation requires significantly more area. One data set exhibited a highly nonlinear relationship. The results for this data set suggest a new method for setting targets on the basis of the functional form of target-area relationships. In particular, the method shows how the target-area relationship can provide a rationale for setting targets solely on the basis of distributional information about surrogates.     

Evaluating and expanding the European Union's protected-area network toward potential post-2020 coverage targets

The Convention on Biological Diversity's (CBD) strategic plan will expire in 2020, but biodiversity loss is ongoing. Scientists call for more ambitious targets in the next agreement. The nature-needs-half movement, for example, has advocated conserving half of Earth to solve the biodiversity crisis, which has been translated to protecting 50% of each ecoregion. We evaluated current protection levels of ecoregions in the territory of one of the CBD's signatories, the European Union (EU). We also explored the possible enlargement of the Natura 2000 network to implement 30% or 50% ecoregion coverage in the EU member states’ protected area (PA) network. Based on the most recent land-use data, we examined whether ecoregions have enough natural area left to reach such high coverage targets. We used a spatially explicit mixed integer programing model to estimate the least-cost expansion of the PA network based on 3 scenarios that put different emphasis on total conservation cost, ecological representation of ecosystems, or emphasize an equal share of the burden among member states. To realize 30% and 50% ecoregion coverage, the EU would need to add 6.6% and 24.2%, respectively, of its terrestrial area to its PA network. For all 3 scenarios, the EU would need to designate most recommended new PAs in seminatural forests and other semi- or natural ecosystems. Because 15 ecoregions did not have enough natural area left to implement the ecoregion-coverage targets, some member states would also need to establish new PAs on productive land, allocating the largest share to arable land. Thirty percent ecoregion coverage was met by protecting remaining natural areas in all ecoregions except 3, where productive land would also need to be included. Our results support discussions of higher ecoregions protection targets for post-2020 biodiversity frameworks.     

Using decision science to evaluate global biodiversity indices

Global biodiversity indices are used to measure environmental change and progress toward conservation goals, yet few indices have been evaluated comprehensively for their capacity to detect trends of interest, such as declines in threatened species or ecosystem function. Using a structured approach based on decision science, we qualitatively evaluated 9 indices commonly used to track biodiversity at global and regional scales against 5 criteria relating to objectives, design, behavior, incorporation of uncertainty, and constraints (e.g., costs and data availability). Evaluation was based on reference literature for indices available at the time of assessment. We identified 4 key gaps in indices assessed: pathways to achieving goals (means objectives) were not always clear or relevant to desired outcomes (fundamental objectives); index testing and understanding of expected behavior was often lacking; uncertainty was seldom acknowledged or accounted for; and costs of implementation were seldom considered. These gaps may render indices inadequate in certain decision-making contexts and are problematic for indices linked with biodiversity targets and sustainability goals. Ensuring that index objectives are clear and their design is underpinned by a model of relevant processes are crucial in addressing the gaps identified by our assessment. Uptake and productive use of indices will be improved if index performance is tested rigorously and assumptions and uncertainties are clearly communicated to end users. This will increase index accuracy and value in tracking biodiversity change and supporting national and global policy decisions, such as the post-2020 global biodiversity framework of the Convention on Biological Diversity.     

不同返还情景下碳税对中国经济影响及减排效果——基于动态CGE的模拟分析

本文构建了多部门递归动态可计算一般均衡模型,考虑中国经济发展和碳减排的现实情况,以征收40元/吨碳税且无税收返还为基准情景,分析了碳税对中国经济和碳强度的影响;在此基础上,本文探讨六种税收返还情景(返还清洁能源部门部分碳税、返还服务业部分碳税、返还农村和城镇居民全部碳税、减免企业所得税、减免居民所得税、减免生产税)对碳税负效应的缓解作用,同时探讨税收返还政策下碳税对中国经济增长、社会福利、农村和城镇居民收入消费、各部门产出的影响差异,并从实现2020年和2030年减排目标的角度,比较不同返还情景下碳税对碳排放量、碳强度,以及对非化石能源占一次能源消费结构变化的长期影响。研究结果表明:基准情景下,碳税对经济确实存在负效应;六种返还政策均不同程度地降低碳税负效应,同时也能够保证实现2020年的减排目标且有利于实现2030年的目标;对单一部门(清洁能源部门或服务业)部分返还碳税能够促进相应部门的产出,但力度较小,与其他政策相比影响微弱,但都能够有效地促进这两大部门的发展,因此在制定补贴政策时应当考虑行业差异性,重点扶持符合绿色发展要求的行业;对农村和城镇居民的直接返还均能增加农村和城镇居民收入,刺激了消费进而带动社会经济发展,相比部门返还政策,这一政策更为有效的提高了社会福利,但也会进一步拉大农村与城镇居民之间的收入消费差距;减免企业所得税促进企业投资和产业结构调整;减免居民所得税极大的刺激居民消费;减免生产税促进进口、拉动就业率,降低化石能源部门产出,综合来看,相对于其他返还政策,减免生产税更有效可行。     

Indicating ecosystem integrity — theoretical concepts and environmental requirements

This paper discusses some conceptual fundamentals for the derivation of environmental indicator sets. On the one hand, it defines requirements from environmental politics, environmental management and legislation, reaching from political target hierarchies and sustainable management strategies to holistic protection concepts such as process protection, resource preservation, ecosystem health and ecological integrity. On the other hand, demands from ecosystem theory are described which include the consideration of features such as self-organization, emergence, thermodynamics, gradients and ecological orientors in environmental indicator sets. From that concept, collective and emergent properties are selected and eight holistic ecosystem features are presented that indicate the ecosystemic state as an ensemble. These general indicators of ecosystem integrity are supplemented by variables on structural changes and substance dynamics.