一种改进的边界层参数化模式

在能量平衡方法的基础上提出一套利用常规气象资料求取边界层参数的改进方案。利用中国科学院大气物理研究所铁塔观测资料,与廓线法进行对比分析,表明这种方案具有输入要求少,输出信息量大,结果合理的优点。此外,对此方案中的4个可变参数作了敏感性试验,结果表明湿度变化参数α的敏感性较强,在使用时应当合理选择其数值。该方案可以满足新一代空气质量模式对边界层参数化的需求。同时,由于仅需常规气象资料就能求取所有的边界层参数,因此特别适合于空气质量模式的法规应用。     

我国再生资源产业发展现状与存在问题

我国再生资源产业发展初具规模,回收体系发生很大变化,形成一些区域性集散地和交易市场,技术水平有所提高。再生资源产业发展成为资源供应的重要补充,有助于实现“十一五”节能降耗减排目标,提供大量就业机会,带动地方经济发展。但也存在监管不到位,市场秩序混乱,回收环节多,企业规模小,技术水平低,一次污染问题突出,废物进口配额管理不完善,法规不健全,认识不到位等问题。     

自然老化木材燃烧过程热行为特性研究

为提供古建筑火灾数值模拟及风险评估的基础理论,从自然老化角度入手,选取经过长久自然老化的建筑服役木材作为研究对象,通过扫描电镜(SEM)及热物性试验对比分析自然老化木材与参照木材的外观形态及热传导特征;采用差示扫描量热DSC法,研究自然老化木材在燃烧过程中热释放的阶段特性,分析不同升温速率对老化木材热行为影响特征;基于...     

海南省农业能值分析

应用ＯｄｕｍＨＴ创立的能值分析理论和方法,对海南省农业进行了分析和评价,结果表明：由于自然条件得天独厚,环境资源对农业的贡献很大,环境资源能值占能值利用率的３０％,高于全国平均值（１３％）;净能值产出率为１．２７,高于日本和意大利,可以作为一种能值来源;农牧渔业产品的宏观经济价值远大于市场价值,农业生产中有相当大一部分环境资源无偿投入;环境承载指标为２．４４,远低于日本和意大利,环境压力较小,发展潜力很大。进而提出促进农业持续发展的有关建议与设想。     

风力发电--中国重要的后续能源

针对中国目前面临的能源短缺和环境污染问题,介绍了中国风能资源的分布及风力发电的特点和现状。提出在中国凤能资源丰富地区大力发展风力发电。目前,风力发电是除水力发电外可再生能源开发利用中技术最成熟、最具规模开发条件和商业化发展前景的发电方式。大力发展风力发电,是解决中国能源和环保问题的重要战略措施之一。     

节能环保产业政策工具评述与展望

节能环保产业是打赢污染防治攻坚战的重要支撑,也是推动经济发展的新兴绿色动能。本文利用瓦当设计的政策工具三分法,对当前节能环保产业政策工具进行了分类研究。当前,影响节能环保产业政策的工具主要包括管制型工具、经济型工具、信息型工具三个类型。管制型工具包括指标控制、强制性标准和监督考核等;经济型工具包括财政支持、税收优惠、价格政策、金融政策等;信息型工具包括技术推广机制、产品推广机制等。尽管我国已经初步建立了政策支持体系,但当前政策工具仍然存在一系列不足,管制型工具、经济型工具、信息型工具都有较大的改进调整空间,应当进一步形成规范、合理的管制型制度,以普惠为主而非补助为主的经济型制度,以提供信息服务为主的信息型制度,并以此促进节能环保产业健康、有序发展。     

碳酸盐对密闭空间粉尘爆炸压力影响的试验研究

为了预防和缓解工业粉尘爆炸并研究惰性粉尘对粉尘爆炸的惰化作用,在Siwek 20 L球形爆炸装置内,针对高爆镁粉和高灰分煤粉,选用碳酸钙(CaCO3)、碳酸氢钠(NaHCO3)、碳酸氢钾(KHCO3)等3种碳酸盐作为惰化剂,讨论惰化剂浓度、粒径及点火能量对最大爆炸压力的影响。结果表明,惰化剂粒径越小,浓度越高,对粉尘爆炸的惰化作用越强;粉尘爆炸的净升压与点火能量无关,点火头主要起引燃作用;当惰化剂浓度递增至60%时以上,粉尘爆炸压力急剧下降,直至不爆。此外,CaCO3的抑制效果明显优于NaHCO3、KHCO3,故推荐采用CaCO3来控制粉尘爆炸风险。     

稠油热采注汽锅炉节能减排措施实践

提高注汽锅炉系统热率是节能降耗、降本增效的主要挖潜方向。为此开展了一系列节能技术的研究,先后开展了热管空气换热器、高温辐射涂料的节能、硬度在线检测、对流段翅片管硬垢清洗技术的推广应用,通过这些技术的实施应用,取得一定的社会效益和经济效益。     

Climate pioneership and leadership in structurally disadvantaged maritime port cities

ABSTRACT

Innovative climate governance in small-to-medium-sized structurally disadvantaged cities (SDCs) are assessed. Considering their deeply ingrained severe economic and social problems it would be reasonable to assume that SDCs act primarily as climate laggards or at best as followers. However, novel empirical findings show that SDCs are capable of acting as climate pioneers. Different types and styles of climate leadership and pioneership and how they operate within multi-level and polycentric governance structures are identified and assessed. SDCs seem relatively readily willing to adopt transformational climate pioneership styles to create ‘green’ jobs, for example, in the offshore wind energy sector and with the aim of improving their poor external image. However, in order to sustain transformational climate pioneership they often have to rely on support from ‘higher’ levels of governance. For SDCs, there is a tension between learning from each other’s best practice and fierce economic competition in climate innovation.     

Toward sustainable use of natural resources: Nexus between resource rents,affluence, energy intensity and carbon emissions in developing and transition economies

Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO₂) emissions disaggregated into production and consumption-based (i.e., trade-adjusted) CO₂ emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production-based CO₂ emissions by 1.407%, with the EKC's predicted inverted U-shaped curve only explaining consumption-based CO₂ emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO₂ emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO₂ emissions embedded in consumption inventories. The bootstrap non-causality test shows that historical data on each variable has significant predictive power for future CO₂ emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO₂ emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.