反应沉淀一体式矩形环流反应器处理城市污水的影响因素研究

通过中试研究了不同溶解氧浓度、有机负荷、HRT条件下,反应沉淀一体式矩形环流反应器(RPIR)对深圳市南山污水处理厂低C/N城市污水的处理效果。结果表明,在控制溶解氧浓度为1 mg/L、COD容积负荷小于2.5 kg/m3.d、NH4+-N容积负荷不超过0.2 kg/(m3.d)、HRT为4 h时,COD平均去除率可达90%,NH4+-N平均去除率超过80%。RPIR在处理该城市污水过程中具有良好的抗冲击负荷能力,污染物去除效率高,运行稳定。     

中国环境效率评价及其影响因素实证研究

环境效率是实际污染排放和潜在污染排放的一种度量。本文运用包含污染排放的环境DEA模型,测算了1998-2007年中国省际环境效率,检验了其收敛情况。结果显示,全国环境效率总体水平较低,省际、区域间差距较大,表明现阶段实行地区间减排合作、推动环保技术在区域间扩散的现实必要性;分别从20032、005年开始,省际、区域环境效率差距逐渐缩小,存在一定的收敛趋势;同时,本文采用Tobit模型分析了影响环境效率因素,研究发现人均GDP对提高环境效率具有积极影响,而工业比重上升、财政分权度的提高以及贸易自由化对环境效率具有显著的负面影响。最后,基于实证研究的结果,就减少地区污染排放、提高我国环境效率给出了相关政策建议。     

京津地区区域一体化程度分析

20世纪50年代以来,全球化背景下世界各国间经济依存度加强,与之相伴生的区域集团化趋势日益显著。北京和天津作为京津冀地区经济实力最强的两个城市,两市的一体化程度研究可以在一定程度反映京津冀一体化的程度,也能对规划京津冀发展提供依据。本文从对区域经济一体化的概念和发展过程的讨论出发,并以京津地区为研究对象,从市场一体化、产业一体化和空间一体化三个方面探讨其一体化整合程度。采用"价格法",利用两市的商品零售价格指数对相对平均价格方差进行分析,得出市场较早具备了一体化的优势条件,近年来发展却不大;分析工业和第三产业各行业的区位商,了解到产业互补潜力尚未充分发挥;同时以京津冀地区的城市分布情况为研究对象,根据费里德曼空间结构的演变阶段理论将其空间一体化程度划分为初级阶段。未来通过政策引导、合理布局和整体规划,京津一体化的发展将成为区域经济发展的主要推动力之一。     

上海霾气候数据序列重建及其时空特征

利用上海11个气象站点1960～2008年日均相对湿度、能见度以及天气现象资料,重建了上海近50a霾气候数据序列,并从时间和空间两个方面分析了上海霾日数的气候特征和变化规律。结果表明,上海霾气候数据序列重建值与报表记录值之间变化形态存在着较好的一致性,重建值较记录值偏高。1960～2008年,上海霾日数以9.7d/10a的线性趋势显著增加,2002年以后霾日数总体上呈减少趋势。上海多年平均霾日数以冬季最多而夏季最少。近50a,上海霾日数呈现出西南部最多-市区较多-东北和东南部最少的空间分布,霾日数的空间变化趋势则表现为西南部增加较多而东部增加较少。1981～2008年,上海霾日数在西部和南部都增加,东部则减少。     

面向突发性水污染事件的三维可视化系统

针对突发性水污染事件的突发性、复杂性与潜在的次生衍生危害等特点,设计并开发了面向突发性水污染事件的三维可视化系统。对建设三维可视化系统的需求进行了分析,提出了系统的四层体系结构,基于三维地理信息系统World Wind组件,采用三维可视化环境建模、海量数据缓存机制以及基础地理信息集成等信息技术,开发了系统的基本应用与高级应用,将系统应用到2005年发生在松花江流域的突发性水污染事件中。实例表明:所设计的三维可视化系统具有集成性、可扩展性和较好三维表现力等特点,支持海量数据与复杂应用的集成与三维展示,为突发性水污染事件的空间模拟和决策支持提供支撑。     

An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions:Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory,the authors choose provincial panel data of China in 1990 2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions.The research results show that:carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve,but that of the western region does not.On this basis,the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions,and describe a specific time path.     

Substituting missing data in compositional analysis

Multivariate analysis of environmental data sets requires the absence of missing values or their substitution by small values. However, if the data is transformed logarithmically prior to the analysis, this solution cannot be applied because the logarithm of a small value might become an outlier. Several methods for substituting the missing values can be found in the literature although none of them guarantees that no distortion of the structure of the data set is produced. We propose a method for the assessment of these distortions which can be used for deciding whether to retain or not the samples or variables containing missing values and for the investigation of the performance of different substitution techniques. The method analyzes the structure of the distances among samples using Mantel tests. We present an application of the method to PCDD/F data measured in samples of terrestrial moss as part of a biomonitoring study.     

基于高频AQI数据的关中城市群空气污染规律探索

基于高频分时AQI及各污染物浓度数据,本文使用"AQI小时指数"、首要污染物等进行统计分析并建立VAR模型对关中城市群空气污染的总体情况、日内波动规律以及城市间空气污染的关联规律做了不同层次的挖掘。研究结果表明:(1)关中城市群的空气质量整体较差,春、冬季空气污染程度明显大于夏季,空气污染的"季节效应"和"集簇性"明显,且主要表现为颗粒物污染。(2)空气质量的日内波动规律在春、冬两季表现为下半天优于上半天,夏季夜间优于白天。但在不考虑四季AQI小时指数图"相位"差异的情况下,四季空气污染的日内波动呈现出明显的相似性。(3)各城市空气污染存在明显的关联规律。城市群内一个城市空气污染的恶化会加剧其他城市的空气污染,并且对其他城市空气污染的影响峰值会在24小时之内出现,且该影响会随着空间和时间尺度的增大而逐步衰减。     

绿色“一带一路”建设研究及建议

生态环保是"一带一路"建设的重要内容。在2017年5月14日召开的"一带一路"国际合作高峰论坛系列成果清单包括《关于推动绿色"一带一路"建设的指导意见》、《"一带一路"生态环境保护合作规划》、"一带一路"生态环保大数据服务平台建设、"一带一路"绿色发展国际联盟建立等四项。为更好地理解和推动执行,本文全面进行了分析,并提出下一步推动绿色"一带一路"工作需要解决的关键问题和建议。     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.