基于深度学习的大数据空气污染预报

为了更好地反映环境污染变化趋势,为环境管理决策提供及时、全面的环境质量信息,预防严重污染事件发生,开展城市空气质量预报研究是十分必要的.本文针对环境大数据时代下的城市空气质量预报,提出了一种基于深度学习的新方法.该方法通过模拟人类大脑的神经连接结构,将数据在原空间的特征表示转换到具有语义特征的新特征空间,自动地学习得到层次化的特征表示,从而提高预报性能.得益于这种方式,新方法与传统方法相比,不仅可以利用空气质量监测、气象监测及预报等环境大数据,充分考虑污染物的时空变化、空间分布,得到语义性的污染物变化规律,还可以基于其他空气污染预测方法的结果(如数值预报模式),自动分析其适用范围、优势劣势.因此,新方法通过模拟人脑思考过程实现更充分的大数据集成,一定程度上克服了现有方法的缺陷,应用上更加具有灵活性和可操作性.最后,通过实验证明新方法可以提高空气污染预报性能.     

Assessment of deep aquifer groundwater quality in a geographically unique climatic region of Southern Western Ghats,India using water quality indices

Water quality index (WQI) models are generally used in hydrochemical studies to simplify complex data into single values to reflect the overall quality. In this study, deep groundwater quality in the Chittur and Palakkad Taluks of the Bharathapuzha river basin of Kerala, India, was assessed by employing the WQI method developed by the Canadian Council of Ministers of the Environment (CCME). The assessment of overall water quality is indispensable due to the specific characteristics of the study area, such as geography, climate, over-drafting, and prevalent agricultural practices. Forty representative samples were collected from the study area for monsoon (MON) and pre-monsoon (PRM) seasons. The results showed a general increase of contents from MON to PRM. The major cations were spread in the order Ca²⁺>Na+>Mg²⁺>K⁺ and the anions HCO₃⁻>Cl⁻>CO₃²⁻ based on their relative abundance. Among various parameters analysed, alkalinity and bicarbonate levels during MON were comparatively high, which is indicative of carbonate weathering, and 90% of the samples failed to meet the World Health Organization (WHO, 2017)/Bureau of Indian Standards (BIS, 2012) drinking water guidelines. The CCME WQI analysis revealed that nearly 50% of the samples during each season represented good and excellent categories. The samples in the poor category comprised 10% in MON and 15% in PRM. The overall WQI exhibited 15% of poor category samples as well. The spatial depiction of CCME WQI classes helped to expose zones of degraded quality in the centre to eastward parts. The spatial and temporal variations of CCME WQI classes and different physicochemical attributes indicated the influence of common factors attributing to the deep groundwater quality. The study also revealed inland salinity at Kolluparamba and Peruvamba stations, where agricultural activities were rampant with poor surface water irrigation.     

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.     

深部低渗透强突出煤层群首采下保护层确定和效果考察

软岩保护层在深部低渗透强突出煤层群首采保护层选择中具有潜在的应用前景。在阐述下保护层开采覆岩移动与采场裂隙演化及瓦斯运移关系的基础上,以芦岭矿为工程背景,通过FLAC3D数值试验,研究软岩保护层开采后的卸压效果,并和不同层位的薄煤层开采卸压效果对比分析。结果表明,在采厚相同的情况下,开采10煤保护层相对于软岩保护层,卸压程度弱,保护范围小,保护效果差。软岩保护层开采后,被保护层处于弯曲下沉带的下限范围。受采动影响,有大量的离层裂隙生成。考察期范围内上覆被保护层(8、9煤层)瓦斯抽采率达62.9%,表明软岩保护层开采能够对上覆被保护层(8、9煤层)起到显著的卸压效果。研究结果可为其他矿区保护层开采选择提供参考,丰富国内保护层开采实践。     

腐殖酸与典型碳纳米材料协同光致产生活性氧物种的研究

采用电子自旋共振光谱(EPR)技术,分析腐殖酸在光照下对4种典型碳纳米材料诱导产生单线态氧(~1O_2)和羟基自由基(·OH)的影响。基于密度泛函理论计算4种典型碳纳米材料的前线轨道能,比较了它们分别经能量转移诱导产生~1O_2的能力以及经电子传递诱导产生·OH的能力。结果显示,4种不同形状的碳纳米材料(富勒烯、单壁碳纳米管、多壁碳纳米管以及石墨烯)悬浮液在紫外光照下均无~1O_2和·OH产生。与腐殖酸共同存在下,4种碳纳米材料均显著诱导~1O_2的产生,且富勒烯和石墨烯还能光致生成·OH。协同产生~1_O2的能力大小为:单壁碳纳米管富勒烯多壁碳纳米管石墨烯,协同产生·OH的能力大小为:石墨烯富勒烯。~1O_2的产生能力与碳纳米材料的能隙大小和颗粒聚集程度有关,而诱导产生·OH的能力主要取决于化学硬度。总之,我们的研究表明腐殖酸与碳纳米颗粒可协同产生活性氧物种。     

Fe-Mn-sepiolite as an effective heterogeneous Fenton-like catalyst for the decolorization of reactive brilliant blue

A study of the decolorization of reactive brilliant blue in an aqueous solution using Fe-Mn-sepiolite as a heterogeneous Fenton-like catalyst has been performed. The Fourier transform infrared (FTIR) spectra of the catalyst showed bending vibrations of the Fe-O. The X-ray diffraction (XRD) patterns of the catalyst showed characteristic diffraction peaks of α-Fe₂O₃, γ-Fe₂O₃ and MnO. A four factor central composite design (CCD) coupled with response surface methodology (RSM) was applied to evaluate and optimize the important variables (catalyst addition, hydrogen peroxide dosage, initial pH value and initial dye concentration). When the reaction conditions were catalyst dosage= 0.4 g, [H₂O₂]= 0.3 mL, pH= 2.5, [reactive brilliant blue]_o = 50 mg·L⁻¹, and volume of solution= 500 mL at room temperature, the decolorization efficiency of reactive brilliant blue was 91.98% within 60 min. Moreover, the Fe-Mn-sepiolite catalyst had good stability for the degradation of reactive brilliant blue even after six cycles. Leaching of iron ions (<0.4 mg·L⁻¹) was observed. The decoloring process was reactive brilliant blue specific via a redox reaction. The benzene ring and naphthalene ring were first oxidized to open ring; these were then oxidized to the alcohol and carboxylic acid. The reactive brilliant blue was decomposed mainly by the attack of ·OH radicals including surface-bound ·OH radicals generated on the catalyst surface.     

基于理想点法的邻近基坑高层建筑安全性评价

为更加准确地评价紧邻基坑高层建筑物的安全状况,综合考虑了建筑物稳定性、基坑与建筑之间土体扰动程度和建筑物地基抗扰动能力三方面因素,采用相关系数法选取14个评价指标,构建建筑物安全评价模型。并通过变异系数法和AHP确定各评价指标融合权重,最后采用理想点法对某紧邻基坑的高层建筑物进行安全评价。结果表明,该模型可以有效判断邻近深基坑高层建筑物的安全等级,其评判结果与工程实际相符     

坡缕石黏土污泥对水相中亚甲基蓝吸附研究

利用坡缕石黏土污泥(从木质素磺酸钠废水中得到)和酸化的坡缕石黏土(1mol/L盐酸)作为吸附剂对水相中的亚甲基蓝进行吸附研究,并利用透射电镜(TEM)、红外光谱(FT-IR)、X-射线衍射(XRD)及Zeta电位分析对两种吸附剂的结构及表面电性进行了表征.结果表明:当吸附剂用量为10mg,温度为30℃时,1mol/L盐酸酸化的坡缕石黏土最大吸附量为97.50mg/g,坡缕石黏土污泥最大吸附量为98.7mg/g.选取坡缕石黏土污泥作为最佳吸附剂,对污泥吸附亚甲基蓝的吸附等温线、吸附热力学及吸附动力学模型进行了研究,结果显示:此吸附过程为自发吸热过程,吸附等温线更符合Langmuir模型,吸附动力学符合准二级动力学模型.     

Validation of the UN test method N.5

Many substances react with water in such a way that flammable gases are formed. For transport issues this reaction may possess a considerable hazard especially if the cargo is wetted by rain or by water from other sources. In the UN Recommendations on the Transport of Dangerous Goods these kinds of problems are addressed. The UN test N.5 “Test method for substances which in contact with water emit flammable gases” corresponds to this hazard. Classification according to the test method is done by measurement of the gas evolution rate of the flammable gas by any suitable procedure. At BAM a gravimetric approach is used to measure the gas evolution rate. In this paper we present the evaluation of the apparatus by means of an absolute calibration routine utilizing a reaction where a known amount of gas is produced as well as the evaluation of important parameters influencing the gas evolution rate using different substances. It can be shown that the apparatus is capable of measuring absolute gas volumes as low as 6 mL with an acceptable error of about 17% as determined from the reaction of Mg with demineralized water.     

采用TSF技术改善电力变压器运行的安全性

分析了无功功率和高次谐波对电力变压器的危害,介绍了晶闸管投切滤波器(TSF)装置的特点、结构原理．提出了TSF装置在工厂实际应用中的主电路结构,操作及控制方案。实践证明,TSF晶闸管投切滤波器装置起到了高效节能、优化电能质量的作用,保证了电网的安全运行。