基于三方博弈的再生水回用市场演化路径分析

为促进再生水市场的构建,以西安市再生水回用市场发展过程为研究案例,采用演化博弈理论构建了基于政府、再生水厂商、消费者三方博弈的再生水回用市场推广模型,分析其博弈均衡及演化路径.结果表明再生水回用市场的演化过程可划分为四个阶段,不同条件下系统将演化至不同的均衡.发展初期政府支持和宣传能有效提高再生水处理量和回用量,发展中后期为了增强企业参与度和消费者接受度需要提高财政补贴、提高使用再生水效用、降低自来水效用、提升再生水厂商获利、减少政府管理成本.     

关于台风决策气象服务技术的总结与探究

为进一步提高和增强台风决策气象服务技术,科学准确的做好台风防灾减灾工作,本文在收集和整理了多个台风决策气象服务过程的基础上,分别就目前台风影响期间决策气象服务产品的开展情况和内容构建进行总结和分析,随后结合实际业务和未来发展方向,探讨性的提出关于台风决策气象服务产品开展部署和内容构成的细化性改进建议,旨在不断的提高台风的决策气象服务质量,为政府及相关部门应急决策管理提供科学的依据。     

Eliciting cognitive processes underlying patterns of human-wildlife interactions for agent-based modelling

Integrating humans in our perception of ecosystems is of critical importance to adequately protect natural resources. This poses the challenge of understanding human decision making in the context of decisions potentially threatening nature's integrity. We developed a spatially explicit agent-based model that simulates commercial whale-watching vessel movements based on a representation of the captains’ decision making process when observing marine mammals in and around the Saguenay-St. Lawrence Marine Park in Québec, Canada. We focus here on the human part of the global model, the submodel of whale movements having been developed and validated independently (Lamontagne, 2009). The objective of this study is to select and validate a model of whale-watching captains’ decision making using the pattern-oriented modelling approach (POM): three models of cognitive heuristics (satisficing, tallying and Take The Best) along with a null model (random choice) were tested. These concurrent decision making models were built upon knowledge extracted from data collected during field investigations, including interviews with whale-watching captains and park wardens, onboard and shore-based observations, and analyses of a multi-year dataset of sampled whale-watching excursions. Model selection is performed by statistically comparing simulated and real patterns of boat trajectories (excursion length), spatial hotspots (kernel home range 50%), and excursion content (species observed, time allocated to different activities). The selection process revealed that the Take The Best heuristic was the best performing model. We used the distribution of the number of whale-watching boats in the vicinity (2000 m) of each vessel as a secondary pattern to validate the ability of each decision making model to reproduce real observations. Given the prevalence of the species attribute in the choice of which whale to observe, the Take The Best heuristic's ability to deal with non-compensatory information partly explains its overall best performance. Moreover, implementation of communication abilities between modelled captains led to the emergence of persistent observation sites in the park, which is a well-known collective spatiotemporal characteristic of the whale-watching industry; thus validating the fundamental assumption that cooperation is an important mechanism behind the pattern of whale-watching boat dynamics. The relatively good performance of the satisficing and tallying heuristics supports both field evidence and literature on bounded rationality in that humans likely use collections of heuristics (adaptive toolbox) to solve decision problems in different contexts. The POM strategy appears suitable to build up an informative ABM regarding the management of human activities in a natural environment so that further developments will be assessed following the same approach.     

营口市港城经济关联度研究

港口是城市经济发展的核心资源,城市为港口经济发展提供支撑.以营口市为研究对象,应用灰色关联度模型,对营口市1995-2009年以来城市相关产业与港口吞吐量进行关联度分析,其结论为:港口经济与城市工业、建筑业关联度较高,批发零售业、金融保险业关联度相对较低;在城市经济的促进下,港口临港工业正在形成,但是港口经济对城市服务业带动较小.     

Evaluating the efficacy of adaptive management approaches: Is there a formula for success?

Within the field of natural-resources management, the application of adaptive management is appropriate for complex problems high in uncertainty. Adaptive management is becoming an increasingly popular management-decision tool within the scientific community and has developed into two primary schools of thought: the Resilience-Experimentalist School (with high emphasis on stakeholder involvement, resilience, and highly complex models) and the Decision-Theoretic School (which results in relatively simple models through emphasizing stakeholder involvement for identifying management objectives). Because of these differences, adaptive management plans implemented under each of these schools may yield varying levels of success. We evaluated peer-reviewed literature focused on incorporation of adaptive management to identify components of successful adaptive management plans. Our evaluation included adaptive management elements such as stakeholder involvement, definitions of management objectives and actions, use and complexity of predictive models, and the sequence in which these elements were applied. We also defined a scale of degrees of success to make comparisons between the two adaptive management schools of thought. Our results include the relationship between the adaptive management process documented in the reviewed literature and our defined continuum of successful outcomes. Our data suggest an increase in the number of published articles with substantive discussion of adaptive management from 2000 to 2009 at a mean rate of annual change of 0.92 (r2 = 0.56). Additionally, our examination of data for temporal patterns related to each school resulted in an increase in acknowledgement of the Decision-Theoretic School of thought at a mean annual rate of change of 0.02 (r2 = 0.6679) and a stable acknowledgement for the Resilience-Experimentalist School of thought (r2 = 0.0042; slope = 0.0013). Identifying the elements of successful adaptive management will be advantageous to natural-resources managers considering adaptive management as a decision tool.     

A decision framework for estimating the cost of marine plastic pollution interventions

Marine plastic pollution has emerged as one of the most pressing environmental challenges of our time. Although there has been a surge in global investment for implementing interventions to mitigate plastic pollution, there has been little attention given to the cost of these interventions. We developed a decision support framework to identify the economic, social, and ecological costs and benefits of plastic pollution interventions for different sectors and stakeholders. We calculated net cost as a function of six cost and benefit categories with the following equation: cost of implementing an intervention (direct, indirect, and nonmonetary costs) minus recovered costs and benefits (monetary and nonmonetary) produced by the interventions. We applied our framework to two quantitative case studies (a solid waste management plan and a trash interceptor) and four comparative case studies, evaluating the costs of beach cleanups and waste-to-energy plants in various contexts, to identify factors that influence the costs of plastic pollution interventions. The socioeconomic context of implementation, the spatial scale of implementation, and the time scale of evaluation all influence costs and the distribution of costs across stakeholders. Our framework provides an approach to estimate and compare the costs of a range of interventions across sociopolitical and economic contexts.     

灰色灾变预测模型的改进及实例分析

灾害不同于一般的预测对象，对其预测精度应予高度重视，而目前灰色灾变预测的预测精度，较高的仅仅是预测原点附近的一、二个数据。基于此，本文提出了准灰信息的概念，建立了准灰色灾变预测模型，并通过实例证明了运用准灰色灾变预测模型进行预测，可提高预测精度。     

环境与发展综合决策的立法探讨

文章论述了环境与发展综合决策的立法意义．重点探讨了如何建立环境与发展综合决策的法律法规．以期对今后建立、健全环境与发展综合决策的法律制度具有一定指导作用。     

降雨径流面源污染年负荷预测方法的开发——以镇江古运河为例

在对镇江古运河2009~2013年的降雨量、降雨径流污染物量监测的基础上,运用回归分析建立降雨量-径流污染方程,并采用灰色理论对未来降雨量进行预测,进而得出降雨径流面源污染年负荷值。结果表明:2014~2020年间,镇江古运河降雨径流中污染物TP、NH₃-N和SS的年负荷与降雨量同向变化,2020年降雨量达到1 381.2 mm时,污染物TP、NH₃-N和SS的年负荷可分别达到217.15 t、421.4 t、5 811.87 t,数值较大;灰色理论与回归分析结合所提出的降雨径流面源污染年负荷预测方法,能够在小样本、贫信息和波动数据序列情况下,简捷有效的对降雨径流面源污染负荷进行高精度的预测,实用与推广价值较大。     

Local energy governance in post-Fukushima Japan: a survey of citizen willingness to participate in local energy policy deliberations

Employing a social survey, this paper examines citizen attitudes towards local energy governance in the aftermath of the Great East Japan Earthquake and the subsequent nuclear power plant accident. The survey found that public comment and random sampling citizen deliberation led to a greater willingness to participate in discussions of municipal heating and power (energy) policy for a resilient community than did conventional citizen committee membership. The former mechanisms provided opportunities for individuals with considered viewpoints to participate in a public dialogue on energy and environment issues in post-disaster Japan. Respondents who did not have clear ideas about a roadmap for nuclear power generation showed a lower willingness to participate in local energy policy formulation processes.