城市污水脱氮除磷中的化学问题

简述了污水中氮磷的来源、存在形式及危害,城市污水生物脱氮除磷基本原理。围绕生物脱氮除磷的化学原理,针对生物脱氮除磷工艺对pH值要求、污泥龄控制、碳源投加及脱氮新工艺进行了探讨。     

目前排污收费工作中存在问题的分析及对策探讨

结合实际工作，在分析当前收费工作中存在问题的基础上，提出解决问题的对策及办法。     

环境问题与环境教育

环境问题的实质,是人与自然的矛盾,解决环境问题.首先要提高人的环境意识,形成广泛的群众参与,自觉地 维护人们赖以生存的环境。     

辽宁生态环境保护与建设

提出了辽宁省目前存在的主要生态环境问题 ,指出这些问题的出现既有环境本身固有的生态敏感性和生态脆弱性、从而易于失去平衡的自然原因 ,但是更为主要的是历史和现实人为活动作用的结果。文章最后对辽宁的生态环境保护和建设提出了相应的对策。     

我国碳排放权交易试点现状及问题分析

分析了碳排放权交易试点市场的政策环境,从准入规则、配额分配、排放核查、交易量与交易价格4个方面介绍了各试点地区碳排放权交易市场的现状,归纳出了我国碳排放交易试点的主要特点;并通过与碳排放交易欧盟体系(EU-ETS)进行对比,提出了我国在碳排放权交易试点工作中存在的主要问题及国际差距,并提出了完善我国碳排放权交易市场的建议。     

浅析松花湖渔业资源保护

通过多年实地调研,认为拦网养殖、湖滩地种植、过度捕捞、沿湖城镇生活污水污染等是渔业资源不断减少主要原因,并根据实际情况提出防治对策。     

浅析辽河流域水环境管理现状及改善措施

辽河流域是我国北方重要的河流型流域,水环境污染问题突出。文章从水环境管理体制、水污染控制方式、水生态安全管理、预警监控4个方面剖析了辽河流域水环境管理现状,并提出针对性的改善措施,对促进辽河流域水环境管理能力提高具有积极的实际意义。     

亚麻二粗加工企业的除尘系统研究与应用

论述了有关亚麻二粗加工企业的除尘系统设计问题。     

Boundary work in climate policy making in Brazil: Reflections from the frontlines of the science-policy interface

Despite challenges to the authority and legitimacy of science as a neutral representation of the world, expert advisors are playing an increasingly central role in environmental policy-making in both the Global North and South. This article explores the science-policy interface, based on the experience of the main author as a scientist and policy-maker at FEAM, a state-level environmental agency in Brazil. Contributing to the literature on boundary objects and organizations, the article details the practices necessary to manage the relationship between political and scientific norms in the development of the regional Climate and Energy Plan (CEP) for the state of Minas Gerais. To sustain the role of FEAM as a boundary organization mediating between political and scientific demands, a team of scientists and policy-makers had to perform different types of boundary work in a closely connected manner. It was necessary to actively frame climate change as an economic problem, and structure its solution in terms of mitigation mechanisms. Responding to changes in the national and international political context, FEAM reframed climate change from mitigation into largely an adaptation issue that could lead to win-win solutions as to attain saliency and avoid insurmountable political obstacles for its approval. Based on this experience, the article argues that the performance of boundary objects and organizations in the science-policy interface not only requires an ability to bring ‘truth to power’ but to also the capacity to sense, anticipate and avoid political obstacles. For this reason even though boundary organizations provide a breeding ground for institutional learning it is an unsuitable location for scientific or political revolutions.     

Environmental policy indicators: A systems model

This article describes and tests a systems theory-based policy indicators model. The framework is used to examine propositions about linkages between states' ecological-spatial characteristics and subsequent selected solid waste management (SWM) -related environmental policies. It was hypothesized that state characteristics of: (1) population density (used as a garbage-per-land area index), (2) population convergence within urban areas, and (3) percent population change in the interval 1980–1985, could jointly explain state variation in both the number and the vigor of SWM policy outputs. Greater levels of spatial pressure were proposed to be related directly to more numerous, more convincing policies. Proposals are grounded in the literature of organizational search theory, crisis stimulation, and technological pressure. Results revealed that the sociospatial model in fact could explain a reasonable proportion of policy variation across states. However, not all hypotheses are supported. Population change shows an indirect, rather than the anticipated direct, relationship with policy output levels. In addition, when used in the model as a pollution intensity index, population density failed to contribute significantly to an explanation of differences in state SWM policy levels. The analysis raises questions about changes occurring over time in the nature and direction of linkages between sociospatial measures and policy responses. This study suggests that strengthening policy indicator models may require questioning key assumptions and theoretical bases, conducting longitudinal studies, and factoring in political, economic, and other policy environment forces.