农村生活垃圾分类治理的奖惩激励机制——基于复杂网络演化博弈模型

充分考虑农村"熟人社会"特点,首次采用复杂网络演化博弈模型,通过数值仿真分析了声誉损失和奖励政策对农户垃圾分类行为扩散深度的动态影响.结果表明：政府不干预时,垃圾分类将无法在农村自发持续而普遍推广;在一定范围内提高声誉损失或奖励均可显著促进农户分类;仅依靠单一政策,无法实现分类的深度扩散,若依靠声誉损失与奖励相互配合,可实现低政策强度、高扩散深度的合意效果;搭便车收益的提高会抑制垃圾分类扩散深度;注重经验学习和适应能力的EWA学习策略更有助于促进垃圾分类扩散.上述结论广泛适用于分类初始状态、学习能力、人口规模不同的农村,对中国农村垃圾分类具有普遍性的启发意义.最后,提出了充分利用"熟人社会"优势构建与农村社会经济特征相契合的垃圾分类激励政策建议.     

Impact of perceptual countermeasures on driving behavior at curves using driving simulator

Objective: The probability of crash occurrence on horizontal curves is 1.5 to 4 times higher than that on tangent sections. A majority of these crashes are associated with human errors. Therefore, human behavior in curves needs to be corrected.

Methodology: In this study, 2 different road marking treatments, optical circles and herringbone patterns, were used to influence driver behavior while entering a curve on a 2-lane rural road section. A driving simulator was used to perform the experiment. The simulated road sections are replicas of 2 real road sections in Flanders.

Results: Both treatments were found to reduce speed before entering the curve. However, speed reduction was more gradual when optical circles were used. A herringbone pattern had more influence on lateral position than optical circles by forcing drivers to maintain a safe distance from opposing traffic in the adjacent lane.

Conclusion: The study concluded that among other low-cost speed reduction methods, optical circles are effective tools to reduce speed and increase drivers’ attention. Moreover, a herringbone pattern can be used to reduce crashes on curves, mainly for head-on crashes where the main problem is inappropriate lateral position.     

武汉市湿地破碎化对生态系统服务价值的影响研究

以湖泊资源丰富的武汉市为例,通过景观格局指数测定该市湿地破碎化程度,借助GIS技术评估该市湿地生态系统服务价值,并探讨了城市湿地破碎化对生态系统服务价值的影响。结果表明:①2000—2015年武汉市湿地总体破碎化趋势有所缓和,但人工湿地相较于自然湿地破碎化程度要高,特别是2010—2015年湿地总面积下降了2.80%,而斑块密度上升了4.12%,湖泊破碎化程度较高。②2000—2015年,武汉市湿地ESV增长了323.27亿元,各类型湿地的生态系统服务价值表现为湖泊>水库坑塘>河流>沼泽。③湿地景观破碎化与部分调节性、支持性和文化性服务功能存在着显著相关关系。     

河湖水系连通分类体系探讨

河湖水系连通是保障国家水安全的治水新方略,科学的分类体系是开展河湖水系连通研究和生产实践的必然要求。论文结合河湖水系连通特点和内涵,提出五项分类原则:科学性、系统性、主导性、区域性和可操作性。综合考虑河湖水系连通的自然属性和经济社会属性,遵循五项分类原则,从连通性质、连通功能、连通区域、连通尺度、连通对象、连通时效、空间格局和连通方向等方面进行分类,初步构建了河湖水系连通分类体系,并对国内典型案例进行了归类;选择基于连通性质的分类、基于连通功能的分类和基于地区水资源特征的分类等三个主要分类展开分析,探讨了三种类型的连通特性、连通目标等主要问题。     

Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests

Forestry science has a long tradition of studying the relationship between stand productivity and abiotic and biotic site characteristics, such as climate, topography, soil and vegetation. Many of the early site quality modelling studies related site index to environmental variables using basic statistical methods such as linear regression. Because most ecological variables show a typical non-linear course and a non-constant variance distribution, a large fraction of the variation remained unexplained by these linear models. More recently, the development of more advanced non-parametric and machine learning methods provided opportunities to overcome these limitations. Nevertheless, these methods also have drawbacks. Due to their increasing complexity they are not only more difficult to implement and interpret, but also more vulnerable to overfitting. Especially in a context of regionalisation, this may prove to be problematic. Although many non-parametric and machine learning methods are increasingly used in applications related to forest site quality assessment, their predictive performance has only been assessed for a limited number of methods and ecosystems.In this study, five different modelling techniques are compared and evaluated, i.e. multiple linear regression (MLR), classification and regression trees (CART), boosted regression trees (BRT), generalized additive models (GAM), and artificial neural networks (ANN). Each method is used to model site index of homogeneous stands of three important tree species of the Taurus Mountains (Turkey): Pinus brutia, Pinus nigra and Cedrus libani. Site index is related to soil, vegetation and topographical variables, which are available for 167 sample plots covering all important environmental gradients in the research area. The five techniques are compared in a multi-criteria decision analysis in which different model performance measures, ecological interpretability and user-friendliness are considered as criteria.When combining these criteria, in most cases GAM is found to outperform all other techniques for modelling site index for the three species. BRT is a good alternative in case the ecological interpretability of the technique is of higher importance. When user-friendliness is more important MLR and CART are the preferred alternatives. Despite its good predictive performance, ANN is penalized for its complex, non-transparent models and big training effort.     

Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid (central Spain)

The majority of wildfires in the Mediterranean Basin are caused directly or indirectly by human activity. Many biophysical and socioeconomic factors have been used in quantitative analyses of wildfire risk. However, the importance and effects of socioeconomic factors in spatial modelling have been given inadequate attention. In this paper, we use different approaches to spatially model our data to examine the influence of human activity on wildfire ignition in the south west of the Madrid region, central Spain. We examine the utility of choropleth and dasymetric mapping with both Euclidean and functional distance surfaces for two differently defined wildfire seasons. We use a method from Bayesian statistics, the Weights of Evidence model, and produce ten predictive maps of wildfire risk: (1) five maps for a two-month fire season combining datasets of evidence variables and (2) five maps for the four-month fire season using the same dataset combinations. We find that the models produced from a choropleth mapping approach with spatial variables using Euclidian and functional distance surfaces are the best of the ten models. Results indicate that spatial patterns of wildfire ignition are strongly associated with human access to the natural landscape. We suggest the methods and results presented will be useful to optimize wildfire prevention resources in areas where human activity and the urban-forest interface are important factors for wildfire ignition.     

吴江市土地利用变化及其生态效应

利用1993、2000和2004年吴江市的遥感影像,在GIS和RS支持下,通过构建土地利用转移矩阵对土地利用变化进行分析,并对其产生的生态效应进行研究。结果表明,吴江市的耕地基底向建设用地基底转化,生态系统结构的多样性和均匀度降低,景观整体形状趋于规则;生态系统功能退化,耕地的减少以及建设用地面积的增加是导致总价值减少的主导力量,而水域生态服务价值的增加是阻止其显著减少的原因;水源涵养和废物处理功能贡献度最大,超过总价值的50%;汾湖镇所占生态服务价值比重最高,分别为24.2%、25.21%2、5.13%,桃源镇所占比重最低。     

基于多模式逆向水质模型的程海水位调控-水质响应预测研究

以云南省程海为例,基于CE-QUAL-W2计算平台开发了水动力-水质模型.由于程海现有的数据不足以支撑开发可靠的流域水文与污染物负荷模型,为弥补由此引起的水质模型边界条件缺失的限制,本研究提出了基于逆向模拟与遗传算法的多模式负荷-参数识别方法来实现对水质模型的校正和鲁棒校验.应用校验后的模型对程海不同水位调控情景的水质...     

基于空间数据的太子河河流生境分类

在文献调研的基础上,结合河流特征和专家经验确定分类使用的指标,利用DEM、河流水系等空间数据,在ArcGIS软件下提取子流域,并计算子流域内河流系统的坡降、蜿蜒度、河网密度和河流等级4个分类指标值,应用聚类分析方法对太子河河流生境进行分类,将太子河河流生境分为源头陡峭河流生境、源头弯曲河流生境、源头河流生境、支流中下游河流生境、平原支流密集河网生境、支流弯曲河流生境、干流下游生境和干流蜿蜒河流生境等8种类型,各类型河流长度在223.8~773.1km之间,其中支流弯曲河流生境最长,而干流下游生境最短. 根据各生境类型的特征,提出了我国东北地区河流生境分类的指标参考值;根据不同生境类型的河道侵蚀、水量以及多样性潜力等特征,提出了不同河流生境类型的环境管理对策.      

牛栏江污染物源解析与空间差异性分析

牛栏江-滇池补水是缓解滇池生态用水短缺的重要工程,对牛栏江流域主要污染源与空间差异性的识别分析,将有助于进一步改善牛栏江的水质. 采用CFA(对应分析)对牛栏江流域污染源进行解析识别,结果表明流域内TN、NH₃-N(氨氮)等污染物主要来源于嵩明县境内,TP、氟化物等污染物主要来源于寻甸县境内. 在CFA分析的基础上,采用HCA(层次聚类分析)和SOM(自组织映射神经网络)对4个监测点、10种污染物指标进行分析,以识别空间分布的差异性和相似性,并且评价各指标的空间分布特征及监测点代表性. 结果表明:4个监测点中,TP、氟化物、砷化物、Vph(挥发酚)在寻甸县境内的七星桥污染最严重;TN、NH₃-N在牛栏江上游嵩明县境内的四营污染最重. 结合流域污染负荷调查可知,寻甸县的磷负荷最大,占流域总负荷的58.73%,七星桥的TP污染贡献大于其他3个监测点,与七星桥TP污染最为严重相符合. 该研究结果可为牛栏江流域实施进一步的分段治理提供决策支撑.