Environmental Initiative Prioritization with a Delphi Approach: A Case Study

India is fast finding its place in the industrialized world and that is beginning to raise its environmental consciousness. The Delphi technique was used to prioritize specific needs and articulate a sustainable urban improvement strategy for the city of Mumbai (formerly Bombay). The Delphi technique is a means of achieving consensual validity among raters by providing them feedback regarding other raters' responses. Mumbai has several indigenous environmental groups that were tapped for activists and leaders; the study was conducted using ten environmentalists. In the initial phases the responses resulted in a range of possible program alternatives. The last two stages helped to seek out information that generated a consensus on the part of the respondent group. Statistical analysis methods included a hierarchical cluster analysis, mean, median, mode, and percent of agreement calculations using SPSS software. The face-to-face discussion in phase 4 clarified some issues and helped the group as a whole to outline the strategy for putting in place the essential elements of a framework to improve the quality of life in an urban environment.     

Interactions between water and land in The Netherlands

The Netherlands are one of the most densely populated coastal countries in the world and there is only limited space for living, working, transport and recreation, while there is also the need to preserve and expand valuable natural habitats. In order to solve many existing and future conflicts of interest, and in order to create ‘added value’, strategies are developed to optimize the use of water-land systems. The principle of ‘building with nature’ is applied in order to integrate land in sea and water in land in such a way that future generations will be able to use coastal resources in a sustainable way, including a minimal effort to maintain the coastline and the promotion of a multiple-use system. The concept of Integrated multifunctional sustainable coastal zone development is introduced. This concept deals with a balanced approach to the lack of space for present and future coastal uses in relation to each other, to the hinterland, and to the sea. Flexible master plans are developed, taking into account many functions of the coastal zone, and facilitating adaptation to future developments—e.g. impacts of climate change and relative sea level rise. In this regard increasing the flexibility of the coastal zone is of vital importance. Large-scale coastal land reclamations in The Netherlands are dealt with, based on two different principles: (1) polder systems (low lying land reclamations surrounded and protected by dikes), (2) systems of ‘building with nature’—land reclamation protected by man-made foreshores, beaches and dunes. In the latter type new flexible dynamic-equilibrium coasts are created for many functions, while coastal vulnerability is reduced and a flexible coast is developed.     

Combining mapped and statistical data in forest ecological inventory and monitoring – supplementing an existing system

A forest ecological inventory and monitoring system combining information derived from maps and samples is proposed based on ecosystem regions (Bailey, 1994). The system extends the design of the USDA Forest Service Region 6 Inventory and Monitoring System (R6IMS) in the Pacific Northwest of the United States. The key uses of the information are briefly discussed and expected results are illustrated with examples. The system is flexible, allowing regions based on ecological considerations to be modified. Sampling intensities that are affordable are likely to be insufficient to provide meaningful estimates for key parameters relating to rare and endangered species, watersheds, and other ecological units. Methods are proposed for collecting additional information in follow-up surveys and combining it with relevant information obtained in R6IMS. Near-continuous information on weather and possible pollution variables recorded by instruments at sampling sites is needed to develop meaningful models to understand what is happening in the ecoregions. R6IMS and the proposed additions constitute a dynamic system which will be modified further as data are analyzed.     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.     

基于CDIO的高职市场营销专业教学模式创新与实践研究

在市场营销专业教学中,通过借鉴CDIO教学理念,建立三系统、四模块教学体系,制定基于项目的"做中学"的教学内容,采用行为导向的六步教学法引导学生主动学习,通过多元化方式进行评价,加强机制建设与教学团队建设。     

区域环境司法协作的实践表征及发展理路探析

环境司法协作是促进区域、流域环境整体性治理的重要保障。但当前相关研究侧重某个重点区域、流域的环境司法协作分析,亟待对京津冀、长三角、成渝、长江、黄河等区域、流域环境司法协作实践进行全面的考察和规范分析。可以依据协作目的、内容、空间,将多元化的环境司法协作样态分为政策回应型协作与程序便利型协作、纵向协作与横向协作、省（区、市）内协作与跨省协作等。针对规范性、结构性、机制性等困境,区域环境司法协作需要从纵向协作迈向纵横协作结合、从协议型协作迈向立法型协作、从低位阶协作迈向高位阶协作。未来还需要加强区域、流域、陆海统筹下的立法协同,探索“共享法庭”及其配套治理体系与能力的纳入与应用,推动大数据、区块链、人工智能等新兴技术与司法的深度融合,从而对区域环境司法协作进行全面的规范性补强、结构性调适、协同配合机制的建构及数字化司法转型。     

层次化健康风险评估方法在苯污染场地的应用及效益评估

以北京某大型苯污染场地为例,详细介绍了如何开展层次化健康风险评估.同时,结合场地污染调查结果,比较了不同层次风险评价确定的土壤苯修复目标、修复量及修复成本的差异.结果表明,在1×10-6可接受致癌风险水平下,该场地第二层次风险评价确定的0～1.5 m深度范围内土壤苯修复目标为0.26 mg·kg-1、1.5～10 m范围内土壤苯修复目标为0.15mg·kg-1,相应的土壤修复量约为292 759 m3,修复成本约2.06亿元.但是,基于该场地苯污染区域土壤气中苯浓度进行的第三层次风险评价确定的0～1.5 m深度范围内土壤苯修复目标为2.6 mg·kg-1、1.5～10 m范围内土壤苯修复目标为1.5mg·kg-1,相应的土壤修复量约为153 222 m3,减少139 537 m3,修复成本为1.49亿元,减少了5 700万元,修复成本的降低远多于因开展第三层次风险评价所付出的约10万元的成本.因此,对于类似大型VOCs污染场地,开采第三层次健康风险评价能够节省大量修复成本、带来巨大的经济效益.     

针对无美术基础学生的设计色彩教学方式探讨

本文主要论述了在设计色彩教学中，针对基础薄弱或毫无美术基础的平面设计类专业学生，而设计的一套由简到繁、由浅入深、由分到合、由易到难、循序渐进的教学方式，该套方式运用丰富多样的、富有创造性的教学方法实施教学，可以帮助学生系统地完成从理论学习到实践练习、再转入实际创作的一个科学的学习过程，而且能激发学生的设计热情、开拓学生的设计思路。     

水体沉积物重金属质量基准研究新进展——生物效应数据库法

根据加拿大、美国佛罗里达、澳大利亚、新西兰、中国香港等国家和地区水体沉积物质量基准研究的最新资料 ,综述了目前国际上广泛采用的用于制定沉积物质量基准的新方法——生物效应数据库法 ,介绍了该方法制定基准研究和应用的新进展     

基于流域分析方法的湖泊水污染综合防治研究

鉴于流域思想在水污染防治中应用的重要性和必要性,提出了以流域保护方法、流域分析和景观生态学相关理论为基础的流域分析方法该方法将湖泊-流域水污染综合防治的主要内容界定为4部分:子流域划分与污染负荷预测,"源-途径-末端-汇"的污染防治工程和管理方案体系设计,备选技术方案的提出和方案优选,污染负荷的削减率计算和综合方案设计.以四川省邛海流域为例,在将流域划分为6个子流域的基础上,对TP入湖污染负荷进行了计算和预测,并识别出各子流域内污染物的贡献率,分区提出了以水土流失防治、点源和面源控制、河道生态修复、河流入湖口治理和内源疏浚为主体的污染防治方案,该方案可削减TP 22.5 t·a-1,达到了预期目标.