深化水资源水环境政策改革,积极推动环境社会治理——PACE20周年纪念大会会议综述

中国工程院国际工程科技高端论坛暨PACE 20周年纪念大会于2017年8月28~29日在北京举行。PACE 20周年大会就"水资源水环境政策"和"环境社会治理"两个主题进行了深入研讨,并达成以下共识:政府治理是中国水资源水环境治理的主导模式,但目前我国水资源水环境政府治理仍面临政策不规范、立法不完善、监管不到位等实质性的问题,要积极促进政策的制定与执行;环境社会治理是我国环境治理的短板,环境治理不仅需要政府的主导,更需要社会上的利益相关方参与政策制定、监督与执行过程,更需要社会各行为主体的自觉自主行动,促进环境行为改善,化解由环境引起的社会矛盾。     

The forgotten pillar: a definition for the measurement of social sustainability in American cities

This article provides a timely review of the interdisciplinary and disjointed literature on social sustainability and identifies some readily available measures of this concept for American cities. Based upon a comprehensive review of the literature, four broad dimensions are identified as being reflective of social sustainability: equal access and opportunity, environmental justice, community and the value of place, and basic human needs. Breaking these four dimensions into measurable indicators, this research provides a method for researchers and for American cities to begin to evaluate and to assess social sustainability efforts within their jurisdictions.     

Equity in neighbourhood walkability? A comparative analysis of three large U.S. cities

This study examines the spatial and statistical relationships between social vulnerability (SV) and neighbourhood walkability across three large U.S. cities with different urban typologies and development patterns: Charlotte, NC (a low-density, fast-growing “Sunbelt” city); Pittsburgh, PA (a moderate density, shrinking “Rust Belt” city); and Portland, OR (a progressive West Coast city known for its sprawl-containment policies). Binary logistic regression, independent-samples t-tests, and mapping techniques are employed to determine whether neighbourhoods with high SV (i.e. older populations, higher poverty rates, more service occupations, lower educational attainment, and a higher proportion of minorities) are as likely as those with low SV to exhibit a high degree of walkability. The publically available Walk Score® metric, based on proximity to amenities, street network connectivity, and density, was used as a proxy for neighbourhood walkability. The results indicate significant variability among cities, with Charlotte exhibiting the greatest potential for inequitable access to walkable urban environments and the most prominent concentration of “walk-vulnerable” block groups (BGs) with high SV and low walkability. Both Portland and Pittsburgh exhibited more equitable access when comparing BGs with high and low SV; however, they each presented unique spatial patterns, visualised using a series of maps.     

Some happy,others sad: exploring environmental justice in solid waste management in Kinshasa,The Democratic Republic of Congo

This paper explores the concept of environmental justice (EJ) in solid waste management (SWM) in Kinshasa, the Democratic Republic of Congo (DRC). It evaluates the extent to which EJ occurs in SWM and discusses the factors accounting for this state of affairs. The paper examines the relevant theoretical framework(s) and mechanisms that would facilitate the attainment of EJ in Kinshasa. It is argued that solid waste (SW) often ends up in the poorest and least powerful communities in the cities of the DRC. A qualitative research methodology, which includes exhaustive critical review of the literature, system analysis, reflections from best practices through case studies and discussion with stakeholders, was used for this study. Findings revealed that SWM in Kinshasa is a duty entrusted to publicly-funded municipal authorities. There are evidences of a clear divide between the rich and poor neighbourhoods in the manner SW is managed. This is an inequality that has only recently begun to be recognised as injustice practices in SWM. It is argued that a politico-cultural mechanism on remedying SWM inequities could enable changes that will address EJ in Kinshasa. Such a solution will go directly against the prevailing notion “some happy, others sad”.     

Neural network forecasting of air pollutants hourly concentrations using optimised temporal averages of meteorological variables and pollutant concentrations

The new method for the forecasting hourly concentrations of air pollutants is presented in the paper. The method was developed for a site in urban residential area in city of Zagreb, Croatia, for four air pollutants (NO₂, O₃, CO and PM₁₀). Meteorological variables and concentrations of the respective pollutant were taken as predictors. A novel approach, based on families of univariate regression models, was employed in selecting the averaging intervals for input variables. For each variable and each averaging period between 1 and 97 h, a separate model was built. By inspecting values of the coefficient of correlation between measured and modelled concentrations, optimal averaging periods for each variable were selected. A new dataset for building the forecasting model was then calculated as temporal moving averages (running means) of former variables. A multi-layer perceptron type of neural networks is used as the forecasting model. Index of agreement, calculated for the entire dataset including the data for model building, ranged from 0.91 to 0.97 for the respective pollutants. As suggested by the analysis of the relative importance of the input variables, different agreements for different pollutants are likely due to different sources and production mechanisms of investigated pollutants. A comparison of the new method with more traditional method, which takes hourly averages of the forecast hour as input variables, showed similar or better performance. The model was developed for the purpose of public-health-oriented air quality forecasting, aiming to use a numerical weather forecast model for the prediction of the part of input data yet unknown at the forecasting time. It is to expect that longer term averages used as inputs in the proposed method will contribute to smaller input errors and the greater accuracy of the model.     

Predicting land cover using GIS, Bayesian and evolutionary algorithm methods

Modelling land cover change from existing land cover maps is a vital requirement for anyone wishing to understand how the landscape may change in the future. In order to test any land cover change model, existing data must be used. However, often it is not known which data should be applied to the problem, or whether relationships exist within and between complex datasets. Here we have developed and tested a model that applied evolutionary processes to Bayesian networks. The model was developed and tested on a dataset containing land cover information and environmental data, in order to show that decisions about which datasets should be used could be made automatically. Bayesian networks are amenable to evolutionary methods as they can be easily described using a binary string to which crossover and mutation operations can be applied. The method, developed to allow comparison with standard Bayesian network development software, was proved capable of carrying out a rapid and effective search of the space of possible networks in order to find an optimal or near-optimal solution for the selection of datasets that have causal links with one another. Comparison of land cover mapping in the North-East of Scotland was made with a commercial Bayesian software package, with the evolutionary method being shown to provide greater flexibility in its ability to adapt to incorporate/utilise available evidence/knowledge and develop effective and accurate network structures, at the cost of requiring additional computer programming skills. The dataset used to develop the models included GIS-based data taken from the Land Cover for Scotland 1988 (LCS88), Land Capability for Forestry (LCF), Land Capability for Agriculture (LCA), the soil map of Scotland and additional climatic variables.     

生态旅游经济关系的二重性辨析

生态旅游经济关系是自然生态关系和社会经济关系的有机统一,两种关系并存于生态旅游经济复合系统中,成为生态旅游经济可持续发展的基础.但是,生态旅游经济关系在实践中出现了严重的变形,利益关系的冲突,正在使生态旅游经济越来越多地出现不和谐的现象,突破利益关系制约的瓶颈,重建和谐的生态旅游经济关系,正是解决生态危机的着眼点.因此,本文对生态旅游经济关系的二重性进行深入辨析,指出无论是生态旅游经济行为主体还是生态旅游经济过程,都具有自然生态属性和社会经济属性相统一的二重性,这些都决定了生态旅游经济关系二重性的协调统一.针对生态旅游经济关系在实践发展中的扭曲变形,只有变革传统经济学的发展观,以生态经济学和可持续发展经济学的理论为平台,对失调的生态旅游经济关系进行修正,还原生态旅游经济关系的本来面貌,即人与自然和谐、生态与经济协调、自然生态关系与社会经济关系统一的理想状态,才能实现生态旅游经济的可持续发展.     

社会减灾能力信任及水灾风险感知的区域对比——基于江西九江和宜春公众的调查

研究公众对社会减灾能力及灾害风险的认识,有助于从公众视角揭示风险潜在因素,不仅是进行风险沟通的必备环节,还可以为开展有效的减灾宣传教育、提高公众减灾意识提供决策依据。通过社会调查（221份样本）和统计分析方法,比较了江西九江、宜春公众对于社会减灾能力的信任及水灾风险感知。结果表明,公众对于社会减灾能力基本持信任态度,信任度高低排序为：灾害监测预报>政府应急>防灾工程>预警传播,其中宜春公众的信任度较高;公众对于水灾的风险感知较弱,尤其是宜春公众认为水灾发生、受灾的可能性很小;公众的信任与对区域减灾能力的了解无关,主要是受到受灾经历（受灾次数、灾情损失、灾后救援）的影响,即区域本底灾害风险的高低导致公众认知的差异,风险较高区域（九江）的公众具有更为明确的降低风险的行为倾向及意愿。     

Choosing a Food Future: Differentiating Among Alternative Food Options

This article examines the diversity of food networks that fit within the alternative food system of the United States. While farmers’ markets, community supported agriculture schemes, and corporate organic food markets all fit within the alternative food system, they differ greatly in the conventions and beliefs that they represent. The alternative food system has divided into two movements: corporate, weak alternative food networks; and local, strong alternative food networks. The weak corporate version focuses on protecting the environment; however, it neglects issues concerning labor standards, animal welfare, rural communities, small-scale farmers, and human health. Local, strong alternative food networks not only assure environmental protection, but they also address the issues that weak alternatives neglect. Using three case studies from the Washington, D.C. metro area, the author explains that strong alternative food networks are better suited to create social and political change because they challenge the foundations of the conventional food system: standardized and generic products, price-based competition, consolidated power, and global scale. To affect true social and political change in the United States, the author recommends supporting strong alternative food networks by creating the requisite cultural and political space for them to succeed.     

复杂社会技术系统安全控制人因研究的转变趋向

在分析复杂社会技术系统的特征及其事故机制的基础上,总结出目前安全控制的人因研究领域中的4种新趋向:分别是从关注个体因素到关注组织因素;从强调行政控制到呼吁社会控制;从考察近端因子到探讨远端征兆;从考核导向向优化发展导向。四大趋势的转变为系统的安全控制提供了新的视角,也开辟了安全控制研究新的领域。最后,笔者结合4方面的转变,针对我国实际情况提出了相应的企业安全管理建议。