滇池水质时间序列变化趋势识别及特征分析

应用STL(Seasonal-Trend Decomposition using LOESS)方法对1998—2010年滇池外海8个监测站点、10个水质指标的时间序列数据进行递归迭代,分解出低频率的趋势项、高频率的周期项及随机残差项.在此基础上计算稳态变化指数(RSI),对水质趋势的时、空变化特征进行识别和判定.结果表明,在分析的13年间,滇池外海8个监测站点各指标变化趋势总体一致;BOD5总体呈下降趋势,高锰酸盐指数(COD Mn)总体趋势显著上升,说明有机物可生化性下降;富营养化状态加剧,总氮(TN)总体趋势上升,并逐渐成为藻类的限制性营养盐,总磷(TP)浓度为劣V类,氨氮在氮元素形态中的主导地位正逐渐降低.研究结果表明,"十二五"期间滇池应重点控制氮磷、兼顾有机物污染.     

外商投资与国际贸易对中国沿海地区资源环境的影响

论文从定性描述和定量描述的角度,分别对外商投资和国际贸易对沿海地区的资源环境影响进行分析。通过研究发现,尽管在产值总量上,外商投资和国际贸易对沿海地区的资源压力和环境污染做出“贡献”,但是从弹性系数角度,外商投资和国际贸易对地区资源压力和环境污染的影响在逐渐减缓,表明外商投资和国际贸易并不是导致我国沿海地区资源环境压力加大的“罪魁祸首”,反而是减缓这种压力的主要贡献力量。但是,不可否认,在我国接受经济全球化影响的早期阶段,由于部分地区急于吸引外资,以及我国环境管理体系的不完善,的确在某些方面,外资和外贸对沿海地区的资源和环境造成了负面影响。     

Evaluation of the International Vehicle Emission （IVE） model with on-road remote sensing measurements

Intemational Vehicle Emissions （IVE） model funded by U.S. Environmental Protection Agency （USEPA） is designed to estimate emissions from motor vehicles in developing countries. In this study, the IVE model was evaluated by utilizing a dataset available from the remote sensing measurements on a large number of vehicles at five different sites in Hangzhou, China, in 2004 and 2005. Average fuel-based emission factors derived from the remote sensing measurements were compared with corresponding emission factors derived from IVE calculations for urban, hot stabilized condition. The results show a good agreement between the two methods for gasoline passenger cars＇ HC emission for all 1VE subsectors and technology classes. In the case of CO emissions, the modeled results were reasonably good, although systematically underestimate the emissions by almost 12%-50% for different technology classes. However, the model totally overestimated NOx emissions. The IVE NOx emission factors were 1.5-3.5 times of the remote sensing measured ones. The IVE model was also evaluated for light duty gasoline truck, heavy duty gasoline vehicles and motor cycles. A notable result was observed that the decrease in emissions from technology class State II to State I were overestimated by the IVE model compared to remote sensing measurements for all the three pollutants. Finally, in order to improve emission estimation, the adjusted base emission factors from local studies are strongly recommended to be used in the IVE model.     

建立中国船舶油污损害赔偿机制的对策

建立一套有效的船舶油污损害赔偿机制，是提高中国船舶溢油应急能力和减轻污染损害的根本途径。文中论述了建立该机制的必要性和建立中国赔偿机制的对策。     

我国环境监测采用国际标准的现状与对策建议

介绍了入世后我国环境监测采用国际标准的要求,分析了我国环境监测采用国际标准的现状与特点,提出加强环境监测采用国际标准和我国环境监测国际标准化工作的对策建议。     

新标准方法实施后水中石油类检测实验室能力验证结果比对研究

为推进国际履约进程,我国自2019年1月1日起停止实验室用途使用四氯化碳,原针对水中石油类的分析方法《水质石油类和动植物油类的测定红外分光光度法》(HJ 637-2012)随之失效,新分析方法则在2018年10月正式发布.随着新分析方法的发布实施,有必要考察实验室采用新方法分析水中石油类的能力.通过汇总两次能力验证计划...     

硅藻群落指示的近50年来大理西湖湖泊生态系统演变规律

近年来,增强的人类活动使得云南部分湖泊生态系统发生退化,由草型清水态向藻型浊水态转变.全球变化背景下,了解湖泊生态系统演变规律是进行有效管理的前提,具有重要的科学意义.本研究以云南大理州小型浅水湖泊西湖为例,通过对沉积物硅藻群落和理化指标的分析,探讨了20世纪60年代中期以来大理西湖环境演变历程.结果表明,大理西湖生态系统在近50年发生了明显的稳态转换,以2000年为节点,硅藻群落从2000年前偏好贫营养环境的底栖附生种Cocconeis placentula、Staurosira construens、Gomphonema angustum和Achnanthidium minutissimum为优势种的状态,逐渐演替为偏好中营养环境的底栖附生硅藻Encyonopsis microcephala和Navicula cryptocephala及偏好富营养环境的浮游硅藻Cyclotella atomus、Cyclotella meneghiniana、Stephanodiscus hantzschii和Aulacoseira granulata为主导的状态.时间序列的主成分分析表明,硅藻群...     

主要发达国家碳达峰碳中和的实践经验及对中国的启示

气候变化问题是人类社会共同面临的重大挑战，关系到人类生存和各国利益。推进碳达峰碳中和是中国的一项重大战略决策，是负责任大国对国际社会的庄严承诺，也是推动高质量发展的内在要求。本文归纳分析欧盟、美国、日本、韩国、德国、英国等主要发达经济体碳达峰的经济社会特征、碳中和的路径共识，系统梳理推动实现碳达峰碳中和的经验举措，对比分析中国国内进展和差距，并提出重点借鉴的国际经验与启示。研究发现，中国已经逐步具备实现碳达峰国家的基本特征，但相比发达国家，在降碳效果核算评估、低碳安全高效能源系统构建、碳价格传导机制设计、低碳技术创新和新业态模式打造、法规制度系统化构建等方面仍有差距，仍需加强政策驱动和重点国际经验借鉴，进一步优化“双碳”目标评估指标体系，将构建清洁、低碳、安全、高效能源系统作为能源生产和消费革命的主要目标，有序推进碳排放权交易市场建设和能源资源市场化价格调控，强化绿色低碳技术的研发创新，加快构建形成系统性推动“双碳”目标的法规体系。     

Identifying opportunities for expert-mediated triangulation in monitoring wildlife trade on social media

Wildlife trade has rapidly expanded on social media platforms in recent years, offering an easy means for traders to access international markets. Investigating this trade activity poses a complex challenge to researchers seeking to understand online trade and moderators seeking to disrupt illicit and harmful activity. Current survey methods frequently rely on text-based searches and focus on posts in which the advertisement is explicit. However, such approaches risk overlooking a growing volume of relevant content, particularly outside social media groups. We used posts from pages promoting West African birds for trade as a case study to explore the availability of information for making inferences about trade activity on social media, specifically information indicating that trade activity was occurring or that could be used to infer trade routes. We recorded 400 posts from 12 pages that we inferred either promoted or facilitated wildlife trade, of which 19.7% were explicit advertisements and 23.8% contained taxa-related terms. In the remaining 341 posts, profile information was the most common indicator of trade activity, but a variety of indicators (e.g., images of birds in trade and trade enquiries) were identified across imagery, text, and comments. We identified multiple types of geographical information that could help infer trade routes and thus the likely legality of trade, although most were relatively rare and sometimes contradictory. Our findings suggest that triangulating multiple types of information from within, across, and beyond posts is vital for effectively identifying and interpreting wildlife trade content on social media. Therefore, were commend that expert-mediated triangulation should be integrated in and used alongside automated detection systems and moderating practices of social media companies.