Ecological Function Zoning for Environmental Planning at Different Levels

Environmental planning at different levels has been called for by environmental departments in China during last years to integrate environment consideration to economic development. Based on the accomplished environmental planning practice in Xiamen China, the paper suggests a general environmental planning process with ecological function zoning as its key steps, at the same time an effective method for ecological function zoning was formulated. The case studies of Dongfu suburban town environmental planning and Xiamen eco-city conceptual planning indicate that scientifically sound results of ecological function zoning can contribute to improving not only the adaptability and acceptability of environmental planning, also the environmental management and the decision-making. The experience shows that the ecological function zoning methods should be applied according to the principles of adaptive management, resource-based and community-based, so that it can integrate science into decision-making process, avoiding both narrow-minded viewpoints of planners and natural resource use conflicts among variety of stakeholders. Problems to be resolved in the future are also pointed out in the ending part.     

A methodological framework for improving air quality monitoring network layout. Applications to environment management

This work aims to provide a methodology framework which allows to improve the performance and efficiency of an air quality monitoring network (AQMN). It requires to be constituted by a minimum and reliable number of measurement sites. Nevertheless, the AQMN efficiency should be assessed over time, as a consequence of the possible emergence of new emission sources of air pollutants, which could lead to variations on their spatial distribution within the target area. PM₁₀ particles data monitored by the Community of Madrid's (Spain) AQMN between 2008 and 2017 were used to develop a methodology to optimize the AQMN performance. The annual spatial distribution of average PM₁₀ levels over the studied period monitored by all current stations vs those more representative was provided by a geographic information system (GIS), and the percentage of similarity between both postulates was quantified using simple linear regression (> 95%). As one innovative tool of this study, the practical application of the proposed methodology was validated using PM₁₀ particles data measured by AQMN during 2007 and 2018, reaching a similitude degree higher than 95%. The influence of temporal variation on the proposed methodological framework was around 20%.The proposed methodology sets criteria for identifying non-redundant stations within AQMN, it is also able to appropriately assess the representativeness of fixed monitoring sites within an AQMN and it complements the guidelines set by European legislation on air pollutants monitoring at fixed stations, which could help to tackle efforts to improve the air quality management.     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

平顶山矿区东、西分区特征关键影响因素研究

为研究平顶山矿区东西分区的特征,对比多种因素,分析矿区东西区的瓦斯分布特征、突出分布特征和构造煤分布规律,论述地应力和瓦斯耦合对东部矿区突出的控制作用。结果表明,东区瓦斯含量和突出强度明显高于西区,原因是其受控于东区褶皱区,地应力和瓦斯耦合控制着东区的突出;而锅底山断层的形成及其后期演化使西区突出危险性小于东区。东西地质构造的不同,不但导致构造煤、瓦斯含量分布不同,而且给地应力与瓦斯耦合提供了不同的条件。总之,东部褶皱区是造成东区与西区产生明显分区性差异的关键影响因素。     

聚丙烯基高分子功能材料吸附卷烟烟气中多种有害成分的应用

为了寻找能同时降低卷烟烟气中甲醛、乙醛、巴豆醛和颗粒物有害成分含量的离子交换树脂吸附材料,采用电镜扫描方法观察聚丙烯基阳离子树脂高分子功能材料的表面特征,应用压汞法分析其平均孔径、中值孔径、比孔容和比表面积,并测试了该材料的交换容量,采用环境试验舱检测法对比测试了该材料和活性炭降低卷烟烟气中甲醛、乙醛、巴豆醛和颗粒物有害成分含量的效果.结果表明,聚丙烯基高分子功能材料表面多斑点状突起,凹凸状明显,微孔和缝隙多,平均孔径为0.26 μm,中值孔径为149.3 μm,比孔容为19.23 cm3/g,比表面积为293.42 m2/g,交换容量为5.16 mmol/g,对烟气中甲醛、乙醛、巴豆醛和颗粒物的净化率分别达到79.6％、79.8％、82.8％和64.7％,而活性炭的净化率分别为20.3％、0、6.4％和54.2％.研究表明,该聚丙烯基高分子功能材料具有物理吸附和化学吸附性能,净化卷烟烟气中多种有害成分的效果明显优于活性炭.     

围岩稳定性评价的改进物元可拓模型与应用

为弥补现有地下工程围岩稳定性评价方法的不足,建立了改进的物元可拓模型。通过构造一种新的关联函数,解决了因传统的物元可拓模型的关联函数是一个分段函数而存在的不便于计算的缺陷,以及评价指标间的互不相容性问题,拓宽了物元可拓法的应用范围。将改进的物元可拓模型应用于某地下工程围岩的稳定性评价,结果表明,样本1、2、5属于Ⅱ级(较稳定),样本3、4属于Ⅰ级(稳定)。通过将其评价结果与传统可拓法及模糊数学综合评判结果进行比较分析,证明该评价方法的正确性。研究表明,改进的物元可拓模型的评价结果与实际工程地质情况更为吻合,准确度更高,能够反映各因素对围岩稳定性的影响,其合理性和可行性得到了验证。     

Exergetic Sustainability Indicators as a Tool in Commercial Aircraft: A Case Study for a Turbofan Engine

This paper focuses on the exergetic sustainability indicators of a medium-range commercial aircraft engine for constant reference environment and ground running conditions. First, a detailed exergy analysis of turbofan engine have been performed based on engine test cell parameters. Starting from the sustainability considerations and the second law of the thermodynamics, the paper presents six exergy-based sustainability indicators. The indicators of the turbofan engine developed here in conjunction with exergetic analysis and sustainable development are exergy efficiency, waste exergy ratio, exergy destruction factor, recoverable exergy rate, environmental effect factor, and exergetic sustainability index. The investigated sustainable indicators have been calculated by using exergy analysis outputs for aircraft ground running condition. Results from this study show that values of exergy efficiency, waste exergy ratio, exergy destruction factor, recoverable exergy rate, environmental effect factor, and exergetic sustainability index of investigated turbofan engine are found to be 0.315, 0.685, 0.408, 0, 2.174, and 0.460, respectively. These parameters are expected to quantify how the turbofan engine and aircraft become more environmentally benign and sustainable.     

基于LCA的北京市公交车节能及温室气体减排潜力分析

新能源公交车是未来城市公交行业节能及温室气体减排的重点发展方向.新能源公交车在行驶阶段具有良好的节能及温室气体减排效果,而汽车制造、能源生产等相关生命周期阶段的能耗及温室气体排放常被忽视,且目前新能源公交车的乘客运载功能相对较弱,可能对节能及温室气体减排的潜力造成较为显著的影响.因此,本文基于北京市公交车的运营特征,采用生命周期评价(LCA)方法,选择客运周转量作为功能单位,核算了天然气公交车、混合动力公交车和纯电动公交车等新能源公交车相对于柴油公交车的节能及温室气体减排效益.结果表明:发展新能源公交车对促进北京市公交行业及城市节能低碳发展具有积极的作用,但相对于基于运营里程的核算结果,本研究新能源公交车节能及温室气体减排潜力均较低,主要原因是新能源公交车的实际载客量相对较低;混合动力公交车和纯电动公交车在空调开启时的节能潜力与温室气体减排潜力均远低于天然气公交车;通过发展情景分析,建议北京市现阶段应优先发展天然气公交车,适当发展纯电动公交车和混合动力公交车,以减少北京市公交车的总体能耗,同时降低温室气体排放强度.     

实施跨界水环境补偿的探讨——对《水污染防治行动计划》中“实施跨界水环境补偿”的解读

针对《水污染防治行动计划》提出"实施跨界水环境补偿"的要求,文章总结分析了国内外已开展的水环境补偿实践情况,表明实施水环境补偿对跨界水质改善具有较好作用;从宏观层面分析了在我国推广跨界水环境补偿面临的主要困境与问题,并从政策、资金等方面提出了相关建议,为下阶段我国推广实施跨界水环境补偿提供参考。     

焦化行业环境风险预测应用

以焦化行业中典型企业——徐州某焦化生产企业年产100万t捣固焦生产线项目为例,采用新的评价体系和数学模式对项目环境风险进行定量的预测评价,在环境风险定量预测方面作出了有益的尝试,对同类焦化行业环境风险预测及防范具有很好的借鉴意义.