基于Adaboost集成BP网络原煤生产成本预测研究

为了提高传统BP神经网络预测模型精度,避免BP网络容易陷入局部极值、收敛速度慢等问题,将BP神经网络与Ada-boost算法相结合,提出了一种Adaboost集成BP神经网络模型.结合磁县观台煤矿原煤生产成本相关数据,建立了原煤生产成本预测的Adaboost集成BP神经网络模型,将该模型用于实际的原煤成本预测.结果表明：该模型预测精度高于传统的BP神经网络,收敛速度快,具有较强的鲁棒性,预测精度能满足实际预测需要,为原煤生产成本预测提供了一种新的途径,也为原煤生产成本控制提供了重要依据.     

锰铝双氧化物改性生物炭减缓土壤重金属对黑麦草的毒性作用

电子垃圾拆解过程中引起的土壤重金属铜(Cu)和镉(Cd)复合污染现象成为一个严峻的问题,为了解决这一问题,利用废弃的螃蟹壳生物质与锰铝盐进行共沉淀后共热解制备了螃蟹壳生物炭(BC)和片状锰铝双氧化物改性的螃蟹壳生物炭(LDO/BC)材料.污染土壤经过BC和LDO/BC修复后,土壤pH、有效磷、速效钾和酶活性得到了提升,土壤中的DTPA-Cu和DTPA-Cd含量显著降低.微生物群落分析表明BC-1%能促进Gemmatimonadota(芽单胞菌)和Acidobacteriota(酸杆菌)相对丰度的上升,而LDO/BC-1%能促进Proteobacteria(变形菌)相对丰度的上升,且变形菌有利于减少Cd在植物中的积累作用.在修复后的土壤中种植黑麦草培养28 d,结果表明,经过投加量为5%BC和1%LDO/BC分别修复后土壤种植的黑麦草发芽率分别提高29%和60%,生长状况更佳,并且黑麦草植株内Cu和Cd的含量相对于未经生物炭材料处理的空白组显著降低.LDO/BC-1%处理组相对于其他处理组表现出更优异的修复效果,且负载在LDO/BC上的Mn可以有效地降低黑麦草吸收土壤中的重金属Cd.     

硅胶腕带被动采集多环芳烃的可行性分析

多环芳烃（polycyclic aromatic hydrocarbons,PAHs）对人体危害巨大,目前关于人体暴露于大气环境PAHs研究主要以主动采样方式开展。硅胶腕带作为一种新的大气被动采样装置,具有体积小、价格低、耐磨耐热、无毒无味等优点,适合人体环境暴露监测。国际上研究刚起步,尚未建立完善的腕带被动采样与主动采样技术之间的定量关系。本研究于2019年秋冬季和2021年冬季在西安市城区,同时开展硅胶腕带被动采样与大气主动采样对低分子量（MW＜203 g·mol^?1）PAHs的对比实验,力求建立两者的联系。2019年和2021年西安冬季大气中低分子量PAHs浓度分别为(52.81±14.76) ng·m^?3和(134.59±39.48) ng·m^?3,与前人研究相当。相对应的腕带浓度为(183.07±40.43) ng·d^?1和(524.99±150.32) ng·d^?1。Pearson相关分析发现：萘、苊烯、1-甲基萘、2-甲基萘、荧蒽以及总PAHs的主、被动采样之间显著相关（P＜0.05）,相关系数均大于0.4,证明硅胶腕带被动采样方法适用于低分子量PAHs的人体暴露监测。     

玉米—大豆轮作体系对黑土土壤固氮菌群落结构及其质量的影响

以大豆连作（CS）、玉米连作（CM）、玉米—大豆轮作（MS）、玉米—玉米—大豆（MMS）和玉米—大豆—大豆（MSS）为研究对象,利用荧光定量PCR和高通量测序分析种植制度对土壤固氮菌丰度和群落结构的影响。结果表明：轮作中土壤有机质（SOM）、全磷（TP）、有效氮（AN）和有效磷（AP）的含量显著高于连作;轮作固氮菌丰度显著高于CM,显著低于CS;MMS与MSS固氮菌多样性显著高于CM;轮作和连作土壤固氮菌群落结构差异明显,全氮（TN）是固氮菌群落结构变化的主要驱动因子,种植制度通过土壤化学性质间接影响固氮菌丰度和多样性。这说明,在吉林省西部半干旱区,MSS与MMS更有利于土壤固氮菌繁殖,可以从微生物学的角度为合理种植和氮素调控提供科学依据。     

广州市大气NO2污染对暴露人群不同疾病死亡的影响

通过收集广州市2011~2015年6种疾病（非意外因素、心血管疾病、脑卒中、缺血性心脏病、呼吸系统疾病以及慢性阻塞性肺疾病）逐日死亡人数、逐日NO₂浓度以及同期气象资料,采用广义相加模型探讨了NO₂暴露对不同疾病死亡的影响（相对危险度,RR值）和累积滞后效应,并进一步采用分层分析方法解析了冷季（11月至次年4月）和暖季（5~10月） NO₂死亡风险的差异.结果表明,NO₂影响急促短暂,通常持续4d.当NO₂浓度升高10μg/m³,在Lag0-4d时,人群非意外死亡人数将上升2.18%（RR=1.0218;95% CI：1.0167,1.0270）,在冷季与暖季分别上升2.6%（RR=1.0260;95% CI：1.0191,1.0328）与0.57%（RR=1.0057;95% CI：0.9952,1.0163）,两者差异有统计学意义（P=0.002）.在不同疾病中,NO₂对慢性阻塞性肺疾病的影响最大.因而NO₂仍然为广州地区人群健康重要的危险因素,需要加强NO₂排放的控制与治理,并且加强冷季健康风险预警以保护公共健康.     

Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study

Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain. In this study, an industrial district (Shahe City) with a large glass manufacturing sector was investigated to clarify the relative contribution of fine particulate matter (PM_2.5) to the city's high levels of pollution. The Nest Air Quality Prediction Model System (NAQPMS), paired with Weather Research and Forecasting (WRF), was adopted and applied with a spatial resolution of 5 km. During the study period, the mean mass concentrations of PM_2.5, SO₂, and NO₂ were observed to be 132.0, 76.1, and 55.5 μg/m³, respectively. The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level. The simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4% of the city's total PM_2.5 concentration. This contribution increased to 73.9±21.2% when unfavorable meteorological conditions (high relative humidity, weak wind, and low planetary boundary layer height) were present; such conditions are more frequently associated with severe pollution (PM_2.5 ≥ 250 μg/m³). The contribution from Shahe was 52.3±21.6%. The source apportionment results showed that industry (47%), transportation (10%), power (17%), and residential (26%) sectors were the most important sources of PM_2.5 in Shahe. The glass factories (where chimney stack heights were normally < 70 m) in Shahe contributed 32.1% of the total PM_2.5 concentration in Shahe. With an increase in PM_2.5 concentration, the emissions from glass factories accumulated vertically and narrowed horizontally. At times when pollution levels were severe, the horizontally influenced area mainly covered Shahe. Furthermore, sensitivity tests indicated that reducing emissions by 20%, 40%, and 60% could lead to a decrease in the mass concentration of PM_2.5 of of 12.0%, 23.8%, and 35.5%, respectively.     

Protonated acetone ion chemical ionization time-of-flight mass spectrometry for real-time measurement of atmospheric ammonia

Ammonia (NH₃) is ubiquitous in the atmosphere, it can affect the formation of secondary aerosols and particulate matter, and cause soil eutrophication through sedimentation. Currently, the use of radioactive primary reagent ion source and the humidity interference on the sensitivity and stability are the two major issues faced by chemical ionization mass spectrometer (CIMS) in the analysis of atmospheric ammonia. In this work, a vacuum ultraviolet (VUV) Kr lamp was used to replace the radioactive source, and acetone was ionized under atmospheric pressure to obtain protonated acetone reagent ions to ionize ammonia. The ionization source is designed as a separated three-zone structure, and even 90 vol.% high-humidity samples can still be directly analyzed with a sensitivity of sub-ppbv. A signal normalization processing method was designed, and with this new method, the quantitative relative standard deviation (RSD) of the instrument was decreased from 17.5% to 9.1%, and the coefficient of determination was increased from 0.8340 to 0.9856. The humidity correction parameters of the instrument were calculated from different humidity, and the ammonia concentrations obtained under different humidity were converted to its concentration under zero humidity condition with these correction parameters. The analytical time for a single sample is only 60 sec, and the limit of detection (LOD) was 8.59 pptv (signal-to-noise ratio S/N = 3). The ambient measurement made in Qingdao, China, in January 2021 with this newly designed CIMS, showed that the concentration of ammonia ranged from 1 to 130 ppbv.     

一种考虑环境因素的自动步枪可靠性分析方法

目的 分析环境因素对于自动步枪系统可靠性的影响。方法 首先介绍贝叶斯网络理论,然后将自动步枪系统可靠性建模划分为刚性抛壳机构和弹匣供弹机构两大模块。在此基础上,从设计制造、使用因素和环境因素3个方面进行故障树建模。将故障树转化为贝叶斯模型后,基于给出的底事件失效概率和引入的环境影响因子,计算考虑环境因素带来的共因失效效应时自动步枪系统的可靠度。结果 从系统层面来看,环境因素的影响会使系统的可靠度下降8.1%。结论 在进行自动步枪的系统可靠性分析时,考虑由环境因素带来的共因失效效应更为符合实际情况,不考虑共因失效效应时,往往会高估子系统的可靠度。     

A study on torrefaction characteristics of waste sawdust in an auger type pyrolyzer

Torrefaction is thermo-chemical process which can improve solid fuel quality as well as grindability. In previous studies, torrefaction has been studied mainly for removal of moisture and for improving grindability. In this experiment, the characteristics of torrefied waste sawdust were studied especially for its energy yield. Hence, torrefaction was performed on varying reaction temperatures (200, 220, 240, 260, 280, 300 °C) and solid residence time (10, 30, 60 min). The results indicated that the yield of torrefaction decreases with increasing temperature and residence time. It was found that above 280 °C, the yield got remarkably decreased. The lowest yield was obtained at the residence time of 60 min. It was also noticed that the HHV of torrefied samples increases with increasing temperature. The highest HHV was found to be 26.09 MJ/kg which was obtained at 60 min and 300 °C. However, the highest energy yield was obtained to be 104.17 % which was noticed at 30 min and 260 °C.     

Study of hydrodynamic characteristics in a circulating fluidized bed gasifier for plastic waste by computational fluid dynamics modeling and simulation

For designing an efficient circulating fluidized bed reactor, understanding the complex hydrodynamic characteristics in the reactor is required. Hence, in the present study, the modeling and simulation of the circulating fluidized bed gasifier using plastic waste were carried out with Eulerian-Granular approach. Several cases were investigated as changing superficial gas velocities or sizes of plastic waste particle. Firstly, cases were examined with four different velocities when the particle diameter is 1 mm. At the gas velocity of 6 or 8 m/s, gas volume fraction is more than 95 % throughout the reactor and particle velocity has positive value overall. Therefore, a circulating fluidized bed seems to be formed in both cases. Comparing those two cases, better solid mixing can be expected considering the mass fraction and solid velocity at the superficial gas velocity of 6 m/s. Thus this case was further studied for the effect of particle size. As the diameters of plastic waste particle are 1 or 3 mm, it is considered that a circulating fluidized bed is formed. And plastic waste and sand particles are well mixed throughout the reactor. However, the particle diameter increases over 3 mm then, it is very hard to maintain circulating fluidization condition.