A concept for simultaneous wasteland reclamation, fuel production, and socio-economic development in degraded areas in India: Need, potential and perspectives of Jatropha plantations

The concept of substituting bio‐diesel produced from plantations on eroded soils for conventional diesel fuel has gained wide‐spread attention in India. In recent months, the Indian central Government as well as some state governments have expressed their support for bringing marginal lands, which cannot be used for food production, under cultivation for this purpose. Jatropha curcas is a well established plant in India. It produces oil‐rich seeds, is known to thrive on eroded lands, and to require only limited amounts of water, nutrients and capital inputs. This plant offers the option both to cultivate wastelands and to produce vegetable oil suitable for conversion to bio‐diesel. More versatile than hydrogen and new propulsion systems such as fuel cell technology, bio‐diesel can be used in today's vehicle fleets worldwide and may also offer a viable path to sustainable transportation, i.e., lower greenhouse gas emissions and enhanced mobility, even in remote areas. Mitigation of global warming and the creation of new regional employment opportunities can be important cornerstones of any forward looking transportation system for emerging economies.     

Are national biodiversity strategies and action plans appropriate for building responsibilities for mainstreaming biodiversity across policy sectors? The case of Finland

The Convention on Biological Diversity's national biodiversity strategies and action plans (NBSAPs) are major mechanisms for mainstreaming biodiversity into national policies. This article examines whether and how the NBSAPs contribute to mainstreaming biodiversity across policy sectors in Finland in order to halt biodiversity loss. We have developed an innovative analytical framework where the concept of responsibility addresses how motivations for mainstreaming can be built, and the concept of social learning outcomes addresses the extent of institutional changes for biodiversity. The Finnish NBSAP processes have been able to build diverse forms of responsibility (liability, accountability, responsiveness and care) in different policy sectors by providing new knowledge, careful process design and developing institutional linkages. Despite pro-biodiversity outcomes in the targeted policy sectors, the responsibilities do not diffuse from the environmental administration to other policy sectors to a sufficient extent. Closing this ‘responsibility gap’ is a key challenge for building effective environmental policies.     

农户兼业阶段性分化探析

当前农户兼业的阶段性分化其本质是农户之间兼业进程的不统一,进而导致了严重的农村社会分化问题。本文利用江苏省苏北地区农户调研数据分析了当前农户兼业阶段性分化的现状及其带来的社会后果,利用似不相关双变量Probit模型分析了农户兼业阶段性分化的原因,得出了阻碍农户兼业发展的主要制约因素。结果显示,家庭人力资本稀缺是农户实现兼业生产的主要制约因素,农户无法进行非农工作主要是受到家庭人口规模小、老龄化严重的限制,这一部分农户家庭生活水平低,面临严重的"贫困陷阱"。政府直接干预土地流转使部分农户被动退出了农业生产,形式上实现了农户兼业进程的统一,但损害了农户的土地权益,造成农村土地产权不稳定,降低了农户自发性退农倾向,妨碍了土地市场的进一步发展,因此实质上对农户兼业进程起到了阻碍作用。此外,由于土地承包经营证书对承包经营权权能、地块四至等信息界定不清晰,对农户兼业进程的发展没有刺激作用。综合以上结论可知,土地产权以及农户家庭人力资本是导致当前农户阶段性分化的主要原因。政府不应对农村土地市场进行直接干预,而应通过完善农村社保体系、扶持农户非农就业、加快新一轮土地确权发证工作以促进土地市场与农户兼业进程的发展,在市场机制为主、政府调控为辅的环境下合理实现土地的集中与农业规模经营。     

绿色“一带一路”建设研究及建议

生态环保是"一带一路"建设的重要内容。在2017年5月14日召开的"一带一路"国际合作高峰论坛系列成果清单包括《关于推动绿色"一带一路"建设的指导意见》、《"一带一路"生态环境保护合作规划》、"一带一路"生态环保大数据服务平台建设、"一带一路"绿色发展国际联盟建立等四项。为更好地理解和推动执行,本文全面进行了分析,并提出下一步推动绿色"一带一路"工作需要解决的关键问题和建议。     

铁氧化物复合氧化铝催化臭氧化过程中溴酸盐的生成控制

以市售活性炭、硅藻土和氧化铝小球为载体，考察了负载铁基活性组分对催化臭氧化过程中溴酸盐的控制情况，其中，铁基复合氧化铝小球体现出更好的溴酸盐还原特性和催化剂稳定性，证实催化剂中铁氧化物是溴酸盐得到有效控制的主要活性组分。进一步考察了铁基复合氧化铝小球催化臭氧化处理实际原水过程中对溴酸盐的生成控制，以及反应过程中溶解性有机碳（DOC）的去除情况。结果表明，与单独臭氧化相比，该催化剂既能有效去除水中的溶解性有机物，又能明显抑制溴酸盐的生成，反应50h，其活性并没有明显下降。催化剂失活主要归因于吸附位点数量的下降，可以通过负载铁氧化物来实现催化剂的再生。     

环境监测事业单位科研管理组织与构建

以江苏省环境监测中心科研管理为例,分析了江苏省现有条件下的环境监测事业单位科研性质和科研管理的主要模式、存在的弊端及今后发展,尝试通过对环境监测网络建设实施方案和地区规划的解读,寻找环境监测科研的研究方向和管理模式,紧密结合江苏省环境监测系统科研管理特点,提出科研管理方案设想和可实现的具体步骤。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

“竞争申请制”:可持续发展政策试点与央地关系重构

可持续发展目标(SDGs)的提出,开启了人类可持续发展领域最宏大的政策实验,也为开展国际视野的比较公共政策研究提供了难得机遇。执行SDGs及国家可持续发展政策需要处理好中央政府与地方政府间关系,而政策试点是协调这一关系的重要政策工具。已有文献对经济政策试点做了较充分的研究,然而对旨在实现经济、社会与环境协调的可持续发展政策试点,现有研究尚缺乏成型理论。在复杂央地关系格局下,对于需持续投入成本且成果难以界定的可持续发展政策试点,其具有怎样的不同于经济政策试点的机制?此外,众多西方学者将美国作为政策试点研究的制度基础并视其为“民主实验室”。然而,政策试点在以中国为代表的不同体制国家中同样存在,并以多样的机制发挥作用。那么,不同国家体制内的可持续发展政策试点又有哪些异同?政策试点影响下中国既有的央地关系发生了怎样的重构?对此,本文基于最典型案例原则,选取中国与美国响应SDGs分别开展的政策试点进行比较研究。笔者识别了不同体制下试点机制的异同,指出中国基于“竞争申请制”开展的可持续发展政策试点强化了中央部委与地方政府间关系,形成了地方官员的可持续发展激励,保障了政策试点的实施。     

“互联网+”智慧环保生态环境多元感知体系发展分析

在大数据技术以及信息化快速稳定持续发展的实践背景之下,"互联网+"智慧环保发展时代的悄然来临,使得对"互联网+"智慧环保多元感知体系的研究与发展工作,逐步被提升到了极其重要的地位。文章结合雄安新区生态环境智慧监测体系建设项目,展开了简要的阐释分析。     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.