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焦化废水处理过程中产生的焦油、污泥和结晶杂盐等固相物质,既有资源属性,又有污染特性,但目前缺乏基于能源、经济及环境影响方面的评估.本研究阐述了3类固相物质的形成机制,建立了质量当量计算及处置方法评价模型.以宝武集团韶关钢铁股份有限公司焦化厂(二期)焦化废水处理工程的A/O/H/O(厌氧/好氧/水解/好氧)流化床工艺作为考察对象,利用工程运行参数和水质统计数据进行固相物质的产量推算,结果发现,焦油、物化污泥、生物污泥(含水率为80%)和工业杂盐的产率分别为0.186、5.80、4.24和1.97 kg·m-3.通过处置方法评价模型明确了焦油焚烧、污泥热解、结晶杂盐分盐提纯后工业应用是最佳处置方案,在60 m3·h-1废水处理规模的固相物质处置过程中,每年约产生1177 MWh的能源,获得135.0万元的经济效益,排放627.0 t CO2,表明能源回收、经济效益和环境影响的协同存在.  相似文献   
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生命周期评价理论与方法作为一种量化环境影响的工具,在诸多领域中得到了广泛的应用。在垃圾处理领域,生命周期评价最早在20世纪90年代得到应用。生命周期评价与城市生活垃圾处理的有效结合,将促进城市生活垃圾的减量化、资源化、无害化目标的实现。总结了生命周期评价理论与方法在城市生活垃圾处理中的应用现状。对国内不同城市生活垃圾处理方式环境影响因子进行比较分析,诸如全球变暖潜力、酸化潜力和富营养化潜力等因子。针对其目标范围定义、数据收集、评价方法的选择、结果解释及工艺改进等方面指出了目前研究的局限性和不足。并对未来城市生活垃圾处理生命周期评价的发展方向进行展望。  相似文献   
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无锡冬季和春季大气中细粒子化学组分及其特性分析   总被引:1,自引:0,他引:1  
本研究对无锡冬(2011年1月)春(2011年5月)两季PM2.5、PM10颗粒物浓度进行了传统的膜采样及离线检测分析,并运用大气气体/气溶胶水溶性离子在线收集及分析(GAC-IC)系统对PM2.5颗粒物中水溶性无机离子(WSII)进行了在线检测,时间分辨率为30 min.无锡冬、春两季PM2.5的浓度分别为108.15±41.76μg·m-3和84.40±26.74μg·m-3,其PM2.5/PM10比值分别为0.81±0.07和0.78±0.07,有较强的二次气溶胶生成过程.铵可用性指数(J冬季=101.2%±22.3%,J春季=79.5%±20.2%)分析表明冬季无锡大气颗粒物中铵(NH+4)相对比较富余,而春季则出现铵(NH+4)亏损现象,春季光化学反应更为活跃,硫氧化率(SOR)由冬季的0.15±0.05增至春季的0.35±0.13,硫酸盐(SO2-4)浓度增加明显,导致铵(NH+4)相对不足.硫氧化率(SOR)没有明显的季节变化,冬、春两季均为0.15.细粒子中的WSII与气态污染物、气象因子、硫氧化率(SOR)和氮氧化率(NOR)等的主成分分析表明无锡大气光化学反应与污染物的其他来源,例如工业源、交通移动源、生物质燃烧源等,有很好的协同作用,共同推高了大气中颗粒物的浓度.观测期间同时测得冬季PM2.5颗粒中有机碳(OC)与元素碳(EC)浓度之间有较好的相关性(R2=0.839),两者有一个共同的主导源,而春季来源则比较复杂,两者相关性较差;二次有机碳(SOC)的半定量分析表明春季大气中有机气溶胶的形成有较强的二次转化过程.  相似文献   
4.
The role of PM2.5 (particles with aerodynamic diameters ≤ 2.5 µm) deposition in air quality changes over China remains unclear. By using the three-year (2013, 2015, and 2017) simulation results of the WRF/CUACE v1.0 model from a previous work (Zhang et al., 2021), a non-linear relationship between the deposition of PM2.5 and anthropogenic emissions over central-eastern China in cold seasons as well as in different life stages of haze events was unraveled. PM2.5 deposition is spatially distributed differently from PM2.5 concentrations and anthropogenic emissions over China. The North China Plain (NCP) is typically characterized by higher anthropogenic emissions compared to southern China, such as the middle-low reaches of Yangtze River (MLYR), which includes parts of the Yangtze River Delta and the Midwest. However, PM2.5 deposition in the NCP is significantly lower than that in the MLYR region, suggesting that in addition to meteorology and emissions, lower deposition is another important factor in the increase in haze levels. Regional transport of pollution in central-eastern China acts as a moderator of pollution levels in different regions, for example by bringing pollution from the NCP to the MLYR region in cold seasons. It was found that in typical haze events the deposition flux of PM2.5 during the removal stages is substantially higher than that in accumulation stages, with most of the PM2.5 being transported southward and deposited to the MLYR and Sichuan Basin region, corresponding to a latitude range of about 24°N-31°N.  相似文献   
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我国碳交易制度巩固脱贫攻坚成果的问题及对策   总被引:3,自引:2,他引:1       下载免费PDF全文
本文从我国碳达峰和碳中和的目标愿景、碳交易体系中的CCER抵消交易、建立巩固脱贫攻坚成果的长效机制等方面对我国碳交易制度巩固脱贫攻坚成果的宏观形势做出研判,系统梳理了我国利用碳交易制度巩固脱贫攻坚成果的主要问题。提出了完善我国碳交易制度巩固脱贫攻坚成果的建议:一是重启CCER项目申请备案,协调国内国际碳交易,增加碳交易的脱贫攻坚资源;二是统筹项目签发与碳抵消规则,调整项目类型和地域限制,提高碳交易的脱贫攻坚效率;三是建立低碳交易数据共享平台,提升项目交易活跃度,保障碳交易的脱贫攻坚质量。  相似文献   
6.
Environmental Science and Pollution Research - Pretreatment of activated sludge is an important step in increasing the reaction speed during anaerobic digestion by accelerating the hydrolysis...  相似文献   
7.
将气体-气溶胶收集仪(GAC)与一台湿法测量总有机碳(Total Organic Carbon,TOC)值的TOC分析仪连接,开发了一套在线测量细粒子中水溶性有机碳(Water Soluble Organic Carbon,WSOC)的方法,解决了方法建立初期背景值较高的问题,确立了方法运行的条件,分析了造成方法测量不确定性的原因,并将其用于珠江三角洲地区20d的连续观测(3C-STAR).GAC-TOC在线测量WSOC的方法检测限为0.07μg.m-3,它能提供离线采样方法不能达到的高时间分辨率;将该方法所测WSOC浓度与热解法元素碳/有机碳(Elemental Carbon/Organic Carbon,EC/OC)分析仪所测得OC浓度进行了比对,结果显示出较好的相关性,证明了其采样的准确性和可靠性.整个观测期间WSOC平均值为(2.81±2.31)μg.m-3,占OC的比例的平均值为23%±13%,最高小时均值为77%;WSOC和OC显示了较为一致的日变化规律.观测结果表明,GAC-TOC在线测定WSOC的方法可连续实时的得到大气颗粒物中WSOC浓度.  相似文献   
8.

The interaction between green finance and other factors, such as ecological environment, has been a research hotspot nowadays. Especially, the reasonable guiding of capital into energy conservation and environmental protection industries would greatly affect those factors, so as to the relation between them. This paper aimed to analyze the relationships between green finance, technological progress, and ecological performance quantitatively. The entropy method was used to respectively construct the system of index for green finance and technological progress, and index for ecological performance was measured by the super-SBM model. The panel vector autoregressive (PVAR) model was selected to empirically analyze dynamic relationships based on datasets from 30 provinces in China during 2008–2019 period. The results told that (1) from 2008 to 2019, China’s overall level of green finance, technological progress and ecological performance increased to varying degrees. Spatially, the areas with high-developed green finance greatly coincided with those such as large cities or the eastern coast that had good financial development. The distribution of technological progress index were similar, except some underdeveloped areas with relatively advanced scientific research institutes. The ecological performance, however, was high in the South and low in the north. (2) In the lag for 3 years, the influence of green finance on ecological performance in different regions was all positive for that all the coefficient symbols that passed the significance test were above 0, while that on technological progress was negative first and then positive. And the effects of technological progress on ecological performance were positive in ecological regions and negative in low ecological regions (0.0893 and -0.1211 in the case of three-stage lag respectively). (3) The contribution of green finance to ecological performance was high according to the results of variance decomposition, maintained at about 30%, and that of technological progress increased year by year (from 0.000 to 0.039). Therefore, we proposed to strengthen the development of green finance in underdeveloped regions. The emphasis should be laid on the researches and applications of green technology, the formulation of financing policies in innovation compensation and the establishment of a dynamic monitoring system for the ecological environment.

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