上海垃圾分类资源化利用的现状、问题与实践路径

“垃圾围城”现象已成为制约经济高质量发展的因素,推进垃圾分类是解决日益增加的环境压力的重要举措。在垃圾分类全过程中,如何分门别类进行资源化利用是下阶段工作的主阵地。上海作为先行先试的城市,在政府、企业、媒体和公民的协同共治下,垃圾分类实效显著,但资源化利用率仍有待进一步提高,出现垃圾分类主体内在驱动力不足、垃圾分类行为约束疲软、湿垃圾处置痛点突出、低价值可回收物资源化利用难点凸显等。针对此,本文以构建闭路循环为核心理念,提出细化分拣门类、提升市场化机制、强化垃圾资源化利用技术研发、夯实制度保障机制、加大宣传引导等对策建议,以期为其他城市提供经验借鉴与路径参考。     

成都市生活垃圾分类治理政策执行研究——基于史密斯的政策执行过程模型

以成都市生活垃圾分类治理政策为研究对象,以史密斯的政策执行过程模型为理论基础,从政策制定、执行机构、目标群体和政策环境四大要素出发,对成都市相关政策执行情况进行逐一分析.并结合成都市实际情况,从完善政策内容,增强政策执行机构的执行力,调动目标群体积极性和优化政策执行环境4个方面提出相应的意见和建议,以期为推动成都市生活...     

基于支持向量机的化工工艺安全评价模型构建及优化研究

为解决现阶段基于风险分级的安全评价方法仍存在着高维数据处理不当、评价智能化程度不高等问题,创建支持向量机的安全评价模型,利用核函数解决安全评价因子分类问题,粒子群算法(PSO)寻找最适合模型的正则项C,进一步提升安全评价模型的正确率,形成适用高维数据的化工工艺安全评价方法。研究结果表明：该模型与经典支持向量机模型和BP神经网络评价模型相比具有更高的正确率,研究结果对借用机器学习来创新安全评价理论及工程应用具有现实意义及理论价值。     

广州市大气气溶胶散射吸湿增长因子的观测研究

利用环境湿度的日变化,对广州市大气气溶胶散射吸湿增长因子进行了观测研究.基于反向轨迹模型HYSPLIT,将2006年7月到达广州市区的气溶胶分为海洋型、海洋/城市混合型、城市型3个类型.整个观测期间,海洋型、海洋/城市混合型、城市型气溶胶的散射吸湿增长因子f(RH=80%)的平均值分别为2.68±0.59、2.29±0.28、2.04±0.28.经验公式f(RH)=1+a(RH/100)b能够较好地拟合3种类型的气溶胶散射吸湿增长因子,海洋型、海洋城市混合型、城市型气溶胶的散射吸湿增长因子的拟合经验参数a分别为4.92、3.26、2.06,经验参数b分别为5.04、3.85、3.60.     

湿地综合分类研究:Ⅰ.分类

目前湿地研究中存在的主要问题是湿地分类标准不一，不同学科间的湿地分类系统缺乏可比性，且缺乏类别界定的定量指标。本文在总结吸收湿地分类已有成果的基础上，比较了已有方法的优劣，提出了一种动力与成因相结合的综合分类法，并讨论了各个分类等级上分类因子的定量描述方法，从而在一定程度上保证了湿地分类的通用性和定量性。这一综合分类方法的提出有助于用数学模型对湿地动态变化进行定量描述①。     

投影寻踪聚类分析在环境质量综合评价中的应用

介绍了投影寻聚类方法用于环境质量综合评价的基本原理，并将该方法成功用于大气环境质量综合评价分析中，与其他综合评价方法相比，投影寻踪聚类分析不但可以做出环境质量的综合评价，而且还可以根据投影分量值分析相应指标影响环境质量的重要性程度，找出影响环境质量的主要因素。     

Grouping Lakes for Water Quality Assessment and Monitoring: The Roles of Regionalization and Spatial Scale

Regionalization frameworks cluster geographic data to create contiguous regions of similar climate, geology and hydrology by delineating land into discrete regions, such as ecoregions or watersheds, often at several spatial scales. Although most regionalization schemes were not originally designed for aquatic ecosystem classification or management, they are often used for such purposes, with surprisingly few explicit tests of the relative ability of different regionalization frameworks to group lakes for water quality monitoring and assessment. We examined which of 11 different lake grouping schemes at two spatial scales best captures the maximum amount of variation in water quality among regions for total nutrients, water clarity, chlorophyll, overall trophic state, and alkalinity in 479 lakes in Michigan (USA). We conducted analyses on two data sets: one that included all lakes and one that included only minimally disturbed lakes. Using hierarchical linear models that partitioned total variance into within-region and among-region components, we found that ecological drainage units and 8-digit hydrologic units most consistently captured among-region heterogeneity at their respective spatial scales using all lakes (variation among lake groups = 3% to 50% and 12% to 52%, respectively). However, regionalization schemes capture less among-region variance for minimally disturbed lakes. Diagnostics of spatial autocorrelation provided insight into the relative performance of regionalization frameworks but also demonstrated that region size is only partly responsible for capturing variation among lakes. These results suggest that regionalization schemes can provide useful frameworks for lake water quality assessment and monitoring but that we must identify the appropriate spatial scale for the questions being asked, the type of management applied, and the metrics being assessed.     

2014~2016年成都地区空气污染气象要素分型研究

为研究成都地区发生不同程度空气污染时,地面气象要素的搭配类型特征,基于成都地区2014~2016年多个逐日气象要素值(气温、气压、湿度等)和逐日AQI资料,对2014~2016年成都地区空气质量状况进行特征分析,并且通过TSI天气分型方法,并结合同期逐日空气质量资料探讨了四季不同天气类型下空气质量特征,主要结果为:(1)2014~2016年成都市总体空气质量夏秋季空气质量最佳,春季次之,冬季最差。(2)不同天气类型空气质量状况差异较大。春季3型和4型容易发生轻度污染;夏季1型和4型容易发生轻度污染;秋季3型容易出现轻度污染;冬季4型和5型天气下容易发生轻度污染以上的空气污染状况。研究为成都地区空气污染气象研究提供参考依据,也为空气污染预报提供一些借鉴意义。     

Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed

Riparian zones are deemed significant due to their interception capability of non-point source impacts and the maintenance of ecosystem integrity region wide. To improve classification and change detection of riparian buffers, this paper developed an evolutionary computational, supervised classification method--the RIparian Classification Algorithm (RICAL)--to conduct the seasonal change detection of riparian zones in a vast semi-arid watershed, South Texas. RICAL uniquely demonstrates an integrative effort to incorporate both vegetation indices and soil moisture images derived from LANDSAT 5 TM and RADARSAT-1 satellite images, respectively. First, an estimation of soil moisture based on RADARSAT-1 Synthetic Aperture Radar (SAR) images was conducted via the first-stage genetic programming (GP) practice. Second, for the statistical analyses and image classification, eight vegetation indices were prepared based on reflectance factors that were calculated as the response of the instrument on LANDSAT. These spectral vegetation indices were then independently used for discriminate analysis along with soil moisture images to classify the riparian zones via the second-stage GP practice. The practical implementation was assessed by a case study in the Choke Canyon Reservoir Watershed (CCRW), South Texas, which is mostly agricultural and range land in a semi-arid coastal environment. To enhance the application potential, a combination of Iterative Self-Organizing Data Analysis Techniques (ISODATA) and maximum likelihood supervised classification was also performed for spectral discrimination and classification of riparian varieties comparatively. Research findings show that the RICAL algorithm may yield around 90% accuracy based on the unseen ground data. But using different vegetation indices would not significantly improve the final quality of the spectral discrimination and classification. Such practices may lead to the formulation of more effective management strategies for the handling of non-point source pollution, bird habitat monitoring, and grazing and live stock management in the future.     

基于农用地分等成果的产能核算——以湖南、河南、黑龙江为例

研究目的:分析农用地质量与粮食生产能力之间的关系。研究方法:主要应用样点的标准粮产量与土地利用等别指数进行回归分析,根据回归分析所得的线性关系推算出3省的粮食总产量。研究结论:通过农用地分等成果进行产能核算具有一定的科学性,可在已经进行农用地分等的省份进行推广应用。