简述排污许可制下火电行业现状及发展

实施排污许可制度,是强化排污者责任、提高固定污染源环境管理效能、改善环境质量的重要制度保障。火电行业作为典型的高架固定源,先行试点实施排污许可制度。通过分析火电行业发展和环保现状,结合排污许可管理要点,简述排污许可制对火电行业发展的影响。     

北京首都机场绿色滑行时间估算

采用北京首都机场2014年实际CDM地面放行数据确定航空器的污染物排放量与离场排队飞机数量和落地滑入飞机数量的强关联性,构建包含这两个解释变量为影响因素的多元线性回归模型,用以估算几种常见机型在首都机场地面运行时的最小污染物排放量和绿色滑行时间。对比实际污染物排放量与最小污染物排放量,得出首都机场离场地面污染物排放量远远超过最小污染物排放量。     

非平衡式双极性离子风消电技术与应用

为实现风送管道物料静电监测与控制，预防料仓静电燃爆事故，提高聚烯烃装置料仓安全水平，基于非平衡式双极性离子风消电技术，开发了双极性离子风消电器；基于离子风消电器和静电监测器，探讨了石化粉体料仓用离子风消电控制系统组成、电路、气路布局；对非平衡式双极性离子风消电系统进行现场应用测试。结果表明:基于此管道粉体消静电技术，合理调节正、负侧控制电压，可有效控制管道物料荷质比稳定在±0.3 μC/kg以内，保障聚烯烃装置料仓安全、稳定运行。     

我国污染物总量控制制度改革的思考

污染物总量控制制度是我国环境保护制度的重要组成部分。结合污染物总量控制制度的实施现状,分析实施过程中减排基数、核算体系、责任主体等方面存在的问题。提出,改革现行污染物总量控制制度,将总量控制与改革中的排污许可制相融合,落实企业主体责任,将总量指标与环境质量改善挂钩,建立差异化的减排核算体系,并加强日常监管,达到改善环境质量的目标。     

Complex and nonlinear climate-driven changes in freshwater insect communities over 42 years

The ongoing biodiversity crisis becomes evident in the widely observed decline in abundance and diversity of species, profound changes in community structure, and shifts in species’ phenology. Insects are among the most affected groups, with documented decreases in abundance up to 76% in the last 25–30 years in some terrestrial ecosystems. Identifying the underlying drivers is a major obstacle as most ecosystems are affected by multiple stressors simultaneously and in situ measurements of environmental variables are often missing. In our study, we investigated a headwater stream belonging to the most common stream type in Germany located in a nature reserve with no major anthropogenic impacts except climate change. We used the most comprehensive quantitative long-term data set on aquatic insects available, which includes weekly measurements of species-level insect abundance, daily water temperature and stream discharge as well as measurements of additional physicochemical variables for a 42-year period (1969–2010). Overall, water temperature increased by 1.88 °C and discharge patterns changed significantly. These changes were accompanied by an 81.6% decline in insect abundance, but an increase in richness (+8.5%), Shannon diversity (+22.7%), evenness (+22.4%), and interannual turnover (+34%). Moreover, the community's trophic structure and phenology changed: the duration of emergence increased by 15.2 days, whereas the peak of emergence moved 13.4 days earlier. Additionally, we observed short-term fluctuations (<5 years) in almost all metrics as well as complex and nonlinear responses of the community toward climate change that would have been missed by simply using snapshot data or shorter time series. Our results indicate that climate change has already altered biotic communities severely even in protected areas, where no other interacting stressors (pollution, habitat fragmentation, etc.) are present. This is a striking example of the scientific value of comprehensive long-term data in capturing the complex responses of communities toward climate change.     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

太阳模拟器大功率短弧氙灯放电特性试验测试

目的增强太阳模拟器氙灯驱动运行的可靠性,给太阳模拟器研制提供技术保障,针对太阳模拟器大功率短弧氙灯放电特性进行试验研究。方法设计太阳模拟器的大功率短弧氙灯放电特性测试方法,然后通过理论计算和实际测试验证氙灯电源初始电流对短弧氙灯放电特性的影响,并采用增设优化电路的方法对其放电特性进行改善。结果在初始电流为70 A和120 A两种情况下,弧光放电电流到达谷值以后的电流稳定度分别为1.8616和0.9867,增设优化电路后,再次进行短弧氙灯放电特性测量,将初始电流降低到60 A,而稳定度可达到0.5409。结论改善后的电路基本可实现短弧氙灯放电理想状态,完成了对短弧氙灯进入电流击穿阶段后形成的稳定弧光放电电流特性的优化,大大提升了氙灯点灯成功率,为增强太阳模拟器可靠性提供了试验支持。     

基于地表水源热泵尾水排放的江河热环境容量研究

运用FLUENT软件对重庆市洪崖洞水源热泵系统尾水排入受纳水域的过程进行二维数值模拟,选取FLUENT中非耦合、隐式求解器对模型内的定常流动进行求解,得出受纳水域受水源热泵系统温排水影响后的温度梯度和温升面积。在温排水流量为4 500 m3/h、温差为6℃的条件下,得出受纳水域温升值超过1℃的水域面积约为1 600 m2,为模拟江河水域面积的2.0%。选取1℃温升值作为温升带边界控制值,在热泵系统最大负荷工况下,计算得出受纳水域的热环境容量为312.5(m.3℃)/s,剩余热环境容量为306.25(m.3℃)/s。根据地表水环境质量标准,该工程温排水量小于受纳水域的热承载力,不会对受纳水域生态环境造成热污染。     

制浆造纸工业废水达标可行性研究

2008年6月颁布的《制浆造纸工业水污染物排放标准》(GB 3544-2008)与原标准(GB 3544-2001)相比,增加了控制排放的污染物项目,污染物排放控制要求也大幅提高,传统的废水二级生化处理工艺已不能满足新标准要求。文章通过梳理和分析调研及现场监测的资料和数据,提出目前制浆造纸企业通过有效的技术改造和升级,增加废水三级深度处理流程,在加强管理的情况下可以实现废水稳定达标排放。但不可避免会增加企业建设和运营成本,大中型制浆造纸企业尚可接受,对小型企业的冲击则相对较大。同时提出目前制浆造纸企业废水处理仍存在一些技术和管理方面的问题,尚需通过制定技术规范、强化环境监管、深入开展相关基础研究等多方面对策,优化制浆造纸行业结构调整,确保行业污染物减排。     

PM_(2.5)对环境空气质量评价结果的影响分析

从2011年12月1日开始在常规空气监测点对影响吉林市空气质量的两个颗粒物指标PM2.5和PM10进行了同步比对监测。结果表明:PM2.5和PM10有显著的相关性,相关系数为0.982;采暖期PM2.5和PM10的比值平均为0.57。分别采用现行和新标准对监测结果进行了评价,其结果好于二级天数将比现行标准评价结果减少12.4%。