川南页岩气区块生命周期用水核算

选取川南页岩气区块为研究对象,运用过程生命周期评估和投入产出生命周期方法核算页岩气开采生命周期的直接和间接用水量,并与美国Marcellus页岩气区块用水量进行比较。川南区块总直接用水量为22 928 m^3/井,高于Marcellus区块的总直接用水量15 320 m^3/井。从生命周期阶段来看,川南页岩气开采钻井和压裂阶段的直接用水均远大于Marcellus区块。结合水环境管理指标,自然资源禀赋条件主要决定了直接用水量的差异。川南区块总间接用水量为25 098 m^3/井,超过总直接用水量,约为Marcellus区块总间接用水量的3倍。除井场准备阶段外,其余阶段的间接用水量均大于Marcellus区块,间接用水量的差异与钻井和压裂过程的添加剂、能源使用量和全行业用水效率有关。减少川南区块页岩气开发用水量的主要途径包括提高钻井液和压裂液回用率、改善钻井和压裂添加剂使用效率、提高柴油和电力等能源利用效率和全行业用水效率。     

人力资本积累、企业创新与中等收入陷阱

中国经济长期向好的基本面虽未改变,但2010年以来经济增速不断回落,一些阻碍经济可持续发展的不利因素不断积累,落入"中等收入陷阱"的风险有所上升。揭示中等收入陷阱的产生机制,显然对于政府形成规避中等收入陷阱的有效政策具有重要意义。本文根据社会再生产理论,建立了"世代交叠"模型,对中等收入陷阱的产生机制作出理论解释,并运用中国1998—2014年各地区经济数据进行了验证,结果表明:(1)人力资本积累和企业创新会在不同程度上促进经济增长,并且二者存在协同效应;(2)上中等层次人力资本积累与企业创新的协同效应可以带动经济增长;(3)下中等层次人力资本与企业创新的协同效应对经济增长的作用不显著。这意味着现阶段中国经济发展不仅应注重人力资本量的积累,更要保证质的提升。基于此,应从下三个方面着手推动中国经济实现中高速增长:(1)着力提升科技创新能力,科学构建产权保护法律体系,促进形成企业家倡导企业科研创新的机制,激发企业创新的主观能动性,维护创新企业对于运用和转让科研成果的合法权益;(2)着力培育高素质人才的教育体系,稳步提升高等教育入学率和办学质量,鼓励教育培训机构适度创新,推动培训方式项目化,针对岗位需求扩充劳动者知识和技术储备;(3)着力降低初中及以下人口的规模与比例,延长义务教育年限,鼓励优质教育资源向不发达地区适度转移,关注偏远地区贫困人群的入学情况,努力为穷人提供公平发展的机会。     

固体试剂快速测定水中阴离子表面活性剂

对亚甲蓝分光光度法进行改进,用固体试剂快速测定水中的阴离子表面活性剂。在最大吸收波长652nm处,阴离子表面活性剂质量浓度为0~2.0m g/L时遵守比尔定律,表观摩尔吸光系数为1.56×104L/(m o.lcm),检出限为0.03m g/L。该方法用于自来水、河水和工业废水中阴离子表面活性剂的测定,取得了满意结果。环境水样的平均回收率为88.3%~108.0%,相对标准偏差不超过4.67%。     

全国及重点区域臭氧污染现状

分析2013—2016年中国开展臭氧(O_3)监测的338个城市(港、澳、台不在统计范围)O_3污染现状和时空变化特征,结果表明:中国城市O_3污染日益突出,2015年54个城市O_3超标,75.9%的O_3超标城市位于京津冀及周边、长三角、珠三角区域,O_3区域污染特征显著。74个城市O_3浓度整体呈上升趋势并向高值区集中,京津冀区域O_3污染最为严重。O_3污染季节变化特征明显,O_3污染主要集中于5—10月,京津冀、长三角和珠三角区域O_3最高超标天数分别出现在6、5、10月。建议加强O_3成因分析,建立O_3污染控制策略,有效应对O_3污染,实现科学减排。     

Climate Impact Response Functions for Terrestrial Ecosystems

We introduce climate impact response functions as a means for summarizing and visualizing the responses of climate-sensitive sectors to changes in fundamental drivers of global climate change. In an inverse application, they allow the translation of thresholds for climate change impacts (‘impact guard-rails’) into constraints for climate and atmospheric composition parameters (‘climate windows’). It thus becomes feasible to specify long-term objectives for climate protection with respect to the impacts of climate change instead of crude proxy variables, like the change in global mean temperature. We apply the method to assess impacts on terrestrial ecosystems, using the threat to protected areas as the central impact indicator. Future climate states are characterized by geographically and seasonally explicit climate change patterns for temperature, precipitation and cloud cover, and by their atmospheric CO₂ concentration. The patterns are based on the results of coupled general circulation models. We study the sensitivity of the impact indicators and the corresponding climate windows to the spatial coverage of the analysis and to different climate change projections. This enables us to identify the most sensitive biomes and regions, and to determine those factors which significantly influence the results of the impact assessment. Based on the analysis, we conclude that climate impact response functions are a valuable means for the representation of climate change impacts across a wide range of plausible futures. They are particularly useful in integrated assessment models of climate change based on optimizing or inverse approaches where the on-line simulation of climate impacts by sophisticated impact models is infeasible due to their high computational demand. This revised version was published online in July 2006 with corrections to the Cover Date.     

Promoting system-level learning from project-level lessons: An analysis of donor-driven ‘indirect’ learning about EIA systems in Ghana and the Maldives

A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This ‘indirect’ learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, ‘indirect’ learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, ‘indirect’ learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better information dissemination.     

Bridging biogeochemical and food web models for an End-to-End representation of marine ecosystem dynamics: The Venice lagoon case study

The simultaneous accounting of effects of natural and anthropogenic changes within a common framework calls for the development of new comprehensive tools capable of integrating biological processes that span a huge range of scales, from viruses to fishes, in addition to their interactions with physical–chemical environmental properties, i.e. End-to-End models.     

Carbon Budget for Basic Needs:Implications of International Equity and Sustainability

The fundamental way of satisfying the basic needs of human development is to secure the basic needs,limit luxurious and wasteful emissions,and ensure the fulfillment of climate targets,so as to achieve intra-and intergenerational equity.In this paper,the author discusses and analyzes a series of challenges that the development has to face,such as poverty elimination,urbanization,and industrialization,and the problems of increased consumption that is brought about by the improvement of living standards;the author distinguishes the stock emission,which does not need annual updating,and the flow emission of regular consumption;the author also defines the standards of energy consumption and carbon emissions that can meet the basic needs.On this basis,the author proposes the concept and method of carbon budget,compares this method with other means,and in particular,studies and analyzes the implications of international equity and sustainability of carbon budget as part of the international climate regime design.     

The ecology of COVID-19 and related environmental and sustainability issues

Around the globe, human behavior and ecosystem health have been extensively and sometimes severely affected by the unprecedented COVID-19 pandemic. Most efforts to study these complex and heterogenous effects to date have focused on public health and economics. Some studies have evaluated the pandemic’s influences on the environment, but often on a single aspect such as air or water pollution. The related research opportunities are relatively rare, and the approaches are unique in multiple aspects and mostly retrospective. Here, we focus on the diverse research opportunities in disease ecology and ecosystem sustainability related to the (intermittent) lockdowns that drastically reduced human activities. We discuss several key knowledge gaps and questions to address amid the ongoing pandemic. In principle, the common knowledge accumulated from invasion biology could also be effectively applied to COVID-19, and the findings could offer much-needed information for future pandemic prevention and management.