Mitigation and adaptation synergy in forest sector

Mitigation and adaptation are the two main strategies to address climate change. Mitigation and adaptation have been considered separately in the global negotiations as well as literature. There is a realization on the need to explore and promote synergy between mitigation and adaptation while addressing climate change. In this paper, an attempt is made to explore the synergy between mitigation and adaptation by considering forest sector, which on the one hand is projected to be adversely impacted under the projected climate change scenarios and on the other provide opportunities to mitigate climate change. Thus, the potential and need for incorporating adaptation strategies and practices in mitigation projects is presented with a few examples. Firstly, there is a need to ensure that mitigation programs or projects do not increase the vulnerability of forest ecosystems and plantations. Secondly, several adaptation practices could be incorporated into mitigation projects to reduce vulnerability. Further, many of the mitigation projects indeed reduce vulnerability and promote adaptation, for example; forest and biodiversity conservation, protected area management and sustainable forestry. Also, many adaptation options such as urban forestry, soil and water conservation and drought resistant varieties also contribute to mitigation of climate change. Thus, there is need for research and field demonstration of synergy between mitigation and adaptation, so that the cost of addressing climate change impacts can be reduced and co-benefits increased.     

大学校园安全的技防与人防

论文结合现有文献分析了大学校园存在周边环境复杂、学生安全意识薄弱、未能落实安防制度和安全责任、安全设备运用不足等问题,提出大学校园的安全工作应遵循人防与技防相结合的原则,建议通过安全人防的岗位责任制、培训机制、安保部门和公安机关联动机制、奖励机制,以及技防的安防设备配置全面规划、意外安全事故风险防范、安防设备和技术的自主创新等方式,来改善大学校园的安全水平。     

碳市场发电行业配额分配方法分析及优化建议

碳排放配额的初始分配是碳市场制度体系中的重要组成部分,公平、科学、可操作的配额分配方法与配额管理体系是保证碳市场健康运行的基石.由于排放量高、工艺流程简单且数据基础较好,中国试点碳市场与全国碳市场均优先将发电行业纳入配额管理,出台既有共性又兼具差异的配额分配方法.通过对比发电行业配额分配方法,总结对于机组分类、修正系数、产品计量和配额结转等关键问题的处理方式,发现全国碳市场第一个履约周期配额分配存在发放时间滞后、缺少结转规定、缺乏调控机制和方法尚不完善等问题.建议从方法和管理两方面完善发电行业配额分配制度,包括建立配额总量约束、明确配额结转规定、完善掺烧机组配额核定方法和优化修正系数的选取并适时引入有偿分配制度.     

过电位抛光增材制造双极板流道结构及性能研究

目的 研究过电位抛光对不锈钢异形截面微流道内壁成形性及双极板性能的影响。方法 采用电化学实验、扫描电子显微镜（SEM）、粗糙度测试分别对激光粉末床熔融技术成形异形截面微流道进行测试分析,研究抛光时间对微流道内壁表面形貌、典型缺陷、表面粗糙度及双极板耐腐蚀性的影响。结果 在抛光前10 min,微流道内壁的质量得到有效提升,随着抛光时间的延长,其表面粗糙度达到稳定值,同时典型缺陷也由黏粉、半熔金属颗粒等局部缺陷逐渐变化到球化、挂渣、阶梯效应等大范围缺陷,直至出现点蚀现象。抛光时间在5～15 min内,LPBF成形316L不锈钢表面质量提升,随着抛光时间的增加,其耐腐蚀性下降。结论 采用过电位抛光工艺并选择适当的过电位抛光时间,能有效提升微流道内壁成形质量及双极板耐腐蚀性能。     

沼气增温与控制系统的设计与仿真

冬季北方寒冷地区温度偏低,难以满足大中型沼气厌氧发酵系统对于温度的要求。为了解决该问题,针对天津地区某奶牛场沼气工程,设计了一套回收发电机余热并辅助电加热为发酵罐体供热的沼气增温控制系统,且实验确定最佳控制温度为35℃。在该系统中,罐体内部均匀布置竖直型循环加热管路,从而使料液温度分布更加均匀,热响应更加迅速,6 d左右即可将发酵罐内发酵料液提升到所需最佳温度;另外,采用罐内部温度及循环水流量的反馈调节,使料液的温度波动维持在±1℃范围内,解决了在冬季由于温度过低而导致沼气产气率偏低、甚至停滞的问题;同时,采用MATLAB软件对基于F-PID及传统PID的温度控制系统进行了仿真。对比结果表明,F-PID控制器较传统PID控制器超调量减小3℃,响应时间缩短60%,表明F-PID系统具有更高的效率、稳定性及实用价值。     

高压输电线路的工频电磁场对环境的影响分析及对策建议

依据《500kV超高压送变电工程电磁辐射环境影响评价技术规范》（HJ/T24-1998）中的预测模式,分析不同技术参数对输电线路周围环境工频电磁场强度的影响,并有针对性地提出减少输电线路对周围环境影响的环境保护措施及优化输电线路的架设方式。     

我国核电发展现状浅析

核电作为一种安全的清洁能源,对于优化能源结构、减少环境污染、具有重要意义。本文介绍了我国核电的现状,从安全性、环保性、经济性几方面对核电进行分析比较,说明积极推进核电发展是我国未来电力发展的选择。     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (-0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.     

垃圾渗滤液预处理工艺的研究

本文结合工程实例,对生活垃圾焚烧发电厂垃圾渗滤液进行预处理工艺的研究,结果表明,预处理单元在垃圾焚烧厂渗滤液的整个处理系统中具有重要的作用和地位,渗滤液中部分污染物和无机离子能在预处理单元中得到较好的去除,在一定程度上减轻后续处理工艺的负荷。     

Stepwise multiple regression method of greenhouse gas emission modeling in the energy sector in Poland

The energy sector in Poland is the source of 81% of greenhouse gas (GHG) emissions. Poland, among other European Union countries, occupies a leading position with regard to coal consumption. Polish energy sector actively participates in efforts to reduce GHG emissions to the atmosphere, through a gradual decrease of the share of coal in the fuel mix and development of renewable energy sources. All evidence which completes the knowledge about issues related to GHG emissions is a valuable source of information. The article presents the results of modeling of GHG emissions which are generated by the energy sector in Poland. For a better understanding of the quantitative relationship between total consumption of primary energy and greenhouse gas emission, multiple stepwise regression model was applied. The modeling results of CO₂ emissions demonstrate a high relationship (0.97) with the hard coal consumption variable. Adjustment coefficient of the model to actual data is high and equal to 95%. The backward step regression model, in the case of CH₄ emission, indicated the presence of hard coal (0.66), peat and fuel wood (0.34), solid waste fuels, as well as other sources (− 0.64) as the most important variables. The adjusted coefficient is suitable and equals R² = 0.90. For N₂O emission modeling the obtained coefficient of determination is low and equal to 43%. A significant variable influencing the amount of N₂O emission is the peat and wood fuel consumption.