Techno-economic and environmental analysis of an integrated standalone hybrid solar hydrogen system to supply CCHP loads of a greenhouse in Iran

The techno-economic and environmental performance of hybrid solar hydrogen energy systems was investigated to provide combined cooling, heating and power (CCHP) demands of a standalone greenhouse in Iran to achieve sustainable agriculture based on an optimization procedure. From the environmental point of view, by deploying hybrid energy systems, 83%, to 100% of emissions can be avoided. Also a sensitivity analysis was performed on the hybrid energy systems in order to study the effect of major parameter variation on the systems justification. It was concluded that hybrid solar systems are economically competitive with conventional systems, for high solar intensity locations with high diesel fuel prices and decreased prices for PV and hydrogen storage technology.     

中国2030年CO2排放总量预测研究

我国2005年和2010年CO2排放总量分别为55亿t和81.52亿t,“十五”和“十一五”期间年均增长率分别为11.0％和8.0％.中国2011-2015年、2016-2020年、2021-2025年和2026-2030年GDP年均增长率分别为8％、7％、6％、5％的经济发展模式与对应的能源消费弹性系数分别为0.5、0.5、0.4和0.3的能源发展模式,预测2030年燃煤、燃油和天然气CO2排放量及全国CO2排放总量.提出减少CO2排放总量对策,主要包括：调整能源结构,尽量减少煤炭消费量占能源消费总量的比例,增加石油、天然气和新能源的比例,提高CO2综合利用率,完善CO2管理政策与法律法规等.     

地面浓度反推法计算石化企业无组织排放源强

对某石化企业储罐区和原油脱酸装置区的无组织排放非甲烷总烃进行监测,对监测数据进行Pearson相关分析,运用地面浓度反推法计算源强。实验结果表明：原油脱酸装置区各采样线浓度间的相关性好,反推出的源强较为准确,50,100,150 m采样线的反推源强非常接近,分别为21.68,21.60,19.76 t/a;而储罐区监测浓度的相关性不佳,该区域的非甲烷总烃无组织排放源可能不单一,不适用地面浓度反推法计算其源强。     

地下停车库空气污染物排放实测研究

通过对上海市某商业地下停车库库内及排风管道的连续监测,获得了CO、NO、非甲烷总烃(NMHC)、PM10等空气污染物浓度数据。结果表明:(1)地下停车库的休息日车流量明显大于工作日,且工作日小时车流与车位比为20%~50%、休息日小时车流与车位比为20%~80%。(2)总体上,地下停车库内CO、NO、NMHC浓度呈明显变化规律,营业时间现峰值,非营业时间现谷值;地下停车库内CO、NO、NMHC变化规律和车库排风中具有较好的一致性。(3)车库排风中污染物浓度水平均低于地下停车库内。(4)营业时间的CO、NO、NMHC小时浓度平均值明显增大,约为非营业时间的2.42~3.67倍。(5)单车次CO、NOX、NMHC排放量最大值分别为0.855、0.070、0.214g/(辆·次)。(6)营业时间,除地下停车库内CO外,NO、PM10的8h时间加权平均值符合《工作场所有害因素职业接触限值化学有害因素》(GBZ 2.1—2007,其中未规定NMHC)中时间加权平均容许浓度(PC-TWA);地下停车库内CO出现33.3%的超标频率,最大占标率104%。     

Decline of traditional rice farming constrains the recovery of the endangered Asian crested ibis (Nipponia nippon)

Traditional agriculture benefits a rich diversity of plants and animals. The winter-flooded rice fields in the Qinling Mountains, China, are the last refuge for the endangered Asian crested ibis (Nipponia nippon), and intensive efforts have been made to protect this anthropogenic habitat. Analyses of multi-temporal satellite data indicate that winter-flooded rice fields have been continuously reduced across the current range of crested ibis during the past two decades. The rate of loss of these fields in the core-protected areas has unexpectedly increased to a higher level than that in non-protected areas in the past decade. The best fit (R² = 0.87) numerical response model of the crested ibis population shows that a reduction of winter-flooded rice fields decreases population growth and predicts that the population growth will be constrained by the decline of traditional winter-flooded rice fields in the coming decades. Our findings suggest that the decline of traditional rice farming is likely to continue to pose a threat to the long-term survival and recovery of the crested ibis population in China.

Electronic supplementary material

The online version of this article (doi:10.1007/s13280-015-0649-5) contains supplementary material, which is available to authorized users.     

浙江省工业烟粉尘总量控制研究

通过对浙江省工业烟粉尘排放总量和排放源现状进行分析,提出工业烟粉尘减排治理对策,对工业烟粉尘4个重点行业(水泥制造行业、火力发电行业、钢铁行业(包括炼钢、钢压延加工和黑色金属铸造行业)、纺织染整行业(包括棉印染精加工、化纤织物染整精加工和棉织造加工行业)排放源的烟粉尘减排途径和潜力进行分析测算,研究提出工业烟粉尘总量控制措施和建议。     

陕北能源化工基地某工业园区水污染物排放总量控制研究

基于水污染物总量控制思路,以陕北能源化工基地某工业园区为研究对象,分析工业园区主要水环境问题及原因,分别对园区企业和集中污水处理厂提出排水水量、水质控制要求,从工程技术措施和管理手段上提出了明确的解决方案和要求。结果表明,各项减排措施实施后,COD、氨氮、石油类物质分别削减49.4%、71.0%、72.6%,园区排水总量控制在1.18万t/d,最终保证园区水污染物总量控制目标的实现。     

农业源水污染物削减技术探讨

农业面源污染是水体中COD、氮、磷等指标的主要来源。它包括农药化肥施用、畜禽养殖和农村生活污水排放。对农业源水污染物进行削减是实现污染物总量控制的重要手段。通过详细总结国内外现有农业源水污染物削减技术方法,分析对比其优缺点和实用性,筛选出适用于不同农业污染来源的污水处理技术。结果表明,畜禽养殖废水的适宜处理技术有厌氧/缺氧/好氧(A/A/O)、序批式活性污泥法(SBR)、膜生物反应器(MBR)、升流式厌氧污泥床(UASB)、厌氧沼气池;农地施肥污水的适宜处理技术有SBR、MBR、UASB;农村生活污水的适宜处理技术有厌氧沼气池、生物滴滤池、人工湿地、稳定塘。     

利用卫星遥感评估广西壮族自治区SO_2减排成效

基于2005—2012年OMI卫星遥感PBL SO2柱浓度数据分析了广西壮族自治区SO2污染的时空格局和变化特征,并结合燃煤火电厂SO2排放模型估算与工业经济增长数据,在时间、空间尺度上分析了自治区内不同区域的SO2污染对火电厂烟气脱硫政策的响应以及所呈现出的减排成效。结果表明,广西因火电厂脱硫政策驱动的SO2污染改善具有显著的空间异质性,自治区内高污染区的SO2浓度在2011—2012年出现了显著下降,而低污染区的SO2浓度则在8年中持续增长;排放模型估算结果显示,烟气脱硫驱动的火电厂SO2减排贡献将在2008年后持续下降,而遥感观测结果显示,广西全区SO2半年浓度均值总体呈现波动上升趋势,2005—2012年浓度增加了8.6%、年均增长约0.9%;综合工业经济增长数据发现,近年来其他工业源的增量排放已给广西SO2减排带了新挑战,而这一变化仍未得到相关决策部门关注,存在明显缺陷的SO2统计排放量数据尚未得到修正。针对上述污染变化新特征,政府相关部门应引起足够重视,尽快更新完善污染源信息并启动针对其他污染源的限排措施,以确保环境持续改善。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.