原位形成生物铁锰氧化物对砷(Ⅲ/V)的去除效果与机制

通过改变砷的初始浓度、砷价态、细菌接种比、铁锰浓度等因素来研究不同条件下Pseudomonas putida strain MnB1原位诱导形成生物铁锰氧化物（Biogenic Fe-Mn oxides,BFMO）对As（Ⅲ）和As（V）的去除效果与机制.结果表明：①当As（Ⅲ）和As（V）初始浓度为0.5~5 mg·L^-1时,原位形成的BFMO对As（Ⅲ）和As（V）有良好的去除效率,均在62%以上;②当细菌接种比为0.1%~0.5%时,As（Ⅲ）和As（V）的去除效率与细菌接种比成正比,当细菌接种比大于0.5%时,As（Ⅲ）和As（V）的去除效率基本维持在85%以上,未发生明显变化;③当MnCO₃浓度为0.2~0.8 g·L^-1或Fe（Ⅱ）浓度为2.5~25 mg·L^-1时,原位诱导产生的BFMO对As（Ⅲ）和As（V）的去除率随MnCO₃浓度或Fe（Ⅱ）浓度的增加而增大;当MnCO₃或Fe（Ⅱ）浓度再升高时,As（Ⅲ）和As（V）的去除效率基本保持不变.微观特征分析结果表明,原位形成的BFMO与As（Ⅲ）和As（V）反应后主要产物为As（V）,其去除主要以吸附为主,还存在共沉淀作用.总体而言,原位形成的BFMO适用于砷污染水环境的修复.     

An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018

Under the background of global warming, the summer temperature of the North and Northeast China (NNEC) has significantly increased since 2017, which was accompanied by the aggravated ozone (O₃) pollution. In 2018, the NNEC experienced a record-breaking summer of the past 40 years. Influenced by the abnormal high temperatures, a regional ozone event occurred on 2-3 August, over 63% of 79 selected cities in the NNEC were exposed to O₃ pollution, and the maximum value of MDA8 O₃ reached 268 μg/m³. Observations indicated that ozone concentrations agree well with the maximum temperature at 2 meters (MT2M) over NNEC with a correlation coefficient of 0.69. During the pollution episode, strong downdraft in the local high (35°N-42.5°N, 112.5°E-132.5°E; LH) over the NNEC created the favourable meteorological conditions for O₃ formation. By analyzing the horizontal wind and wave activity fluxes (WAFs) at 200 hPa, we found that the LH formation was resulted from the Rossby wave propagation from upstream along the mid-latitude Asian jet. The split polar vortex intrusion further strengthened the amplitude of the Rossby wave and reinforced the LH. Moreover, a secondary circulation between Typhoon Jongdari and the LH contributed to the enhanced LH with strong subsidence. On the other hand, the stratospheric intrusions under the deep subsidence also contributed to the enhanced surface O₃. In this study, the deep-seated meteorological dynamical mechanisms contributing to the abnormal high temperatures were investigated, which can lead to a better understanding of the regional O₃ pollution over NNEC under the global-warming background.     

Removal of antibiotic-resistant genes during drinking water treatment: A review

Once contaminate the drinking water source, antibiotic resistance genes (ARGs) will propagate in drinking water systems and pose a serious risk to human health. Therefore, the drinking water treatment processes (DWTPs) are critical to manage the risks posed by ARGs. This study summarizes the prevalence of ARGs in raw water sources and treated drinking water worldwide. In addition, the removal efficiency of ARGs and related mechanisms by different DWTPs are reviewed. Abiotic and biotic factors that affect ARGs elimination are also discussed. The data on presence of ARGs in drinking water help come to the conclusion that ARGs pollution is prevalent and deserves a high priority. Generally, DWTPs indeed achieve ARGs removal, but some biological treatment processes such as biological activated carbon filtration may promote antibiotic resistance due to the enrichment of ARGs in the biofilm. The finding that disinfection and membrane filtration are superior to other DWTPs adds weight to the advice that DWTPs should adopt multiple disinfection barriers, as well as keep sufficient chlorine residuals to inhibit re-growth of ARGs during subsequent distribution. Mechanistically, DWTPs obtain direct and inderect ARGs reduction through DNA damage and interception of host bacterias of ARGs. Thus, escaping of intracellular ARGs to extracellular environment, induced by DWTPs, should be advoided. This review provides the theoretical support for developping efficient reduction technologies of ARGs. Future study should focus on ARGs controlling in terms of transmissibility or persistence through DWTPs due to their biological related nature and ubiquitous presence of biofilm in the treatment unit.     

Degradation of poly(butylene adipate-co-terephthalate) by Stenotrophomonas sp. YCJ1 isolated from farmland soil

In recent years, poly (butylene adipate-co-terephthalate) (PBAT) has been widely used. However, PBAT-degrading bacteria have rarely been reported. PBAT-degrading bacteria were isolated from farmland soil and identified. The effects of growth factors on the degradation of PBAT and the lipase activity of PBAT-degrading bacteria were assessed. The degradation mechanism was analyzed using scanning electron microscopy, attenuated total reflection Fourier transform infrared spectroscopy, proton nuclear magnetic resonance, X-ray diffraction, and liquid chromatography-mass spectrometry. The results showed that Stenotrophomonas sp. YCJ1 had a significant degrading effect on PBAT. Under certain conditions, the strain could secrete 10.53 U/mL of lipase activity and degrade 10.14 wt.% of PBAT films. The strain secreted lipase to catalyze the degradation of the ester bonds in PBAT, resulting in the production of degradation products such as terephthalic acid, 1,4-butanediol, and adipic acid. Furthermore, the degradation products could participate in the metabolism of YCJ1 as carbon sources to facilitate complete degradation of PBAT, indicating that the strain has potential value for the bioremediation of PBAT in the environment.     

分子模拟方法在爆炸反应机理方面的应用进展

针对爆炸过程反应机理异常复杂,实验检测手段对其认识匮乏的现状,综述了量子化学、反应分子动力学等分子模拟方法的特点及研究进展,分析了分子模拟技术在燃爆机理研究中的应用进展,包括量子化学方法对于燃料热解/燃烧、瓦斯等可燃体系爆炸过程的微观基元反应步骤、反应能垒及热力学参数的计算,以及反应分子动力学(ReaxFF MD)在含能材料、可燃混合气等复杂爆炸体系获取可能的反应路径及中间自由基变化的应用。对分子模拟方法在爆炸领域研究的应用提出了建议及展望,指出ReaxFF MD和密度泛函理论(DFT)相结合是一种研究复杂爆炸体系微观反应机理极具潜力的方法,借助先进的分析检测手段对模拟方法的验证及修正,能获取更准确、全面的微观反应动力学模型。     

Ag3PO4/g-C3N4复合光催化剂的制备及其可见光催化性能

采用简单的原位沉淀法合成了可见光驱动型光催化剂Ag₃PO₄/g-C₃N₄.利用X-射线衍射（XRD）、傅里叶红外光谱（FT-IR）、扫描电子显微镜（SEM）、X-射线能谱（XPS）以及紫外可见漫反射光谱（UV-Vis DRS）等表征手段对合成的样品进行了表征.与单一的Ag₃PO₄和g-C₃N₄相比,Ag₃PO₄/g-C₃N₄复合材料对左氧氟沙星表现出了更高的催化效率.根据能带分析和自由基捕获试验,提出了Ag₃PO₄/g-C₃N₄复合材料Z型异质结构的作用机制.     

Climate change collaboration among natural resource management agencies: lessons learned from two US regions

It has been argued that regional collaboration can facilitate adaptation to climate change impacts through integrated planning and management. In an attempt to understand the underlying institutional factors that either support or contest this assumption, this paper explores the institutional factors influencing adaptation to climate change at the regional scale, where multiple public land and natural resource management jurisdictions are involved. Insights from two mid-western US case studies reveal that several challenges to collaboration persist and prevent fully integrative multi-jurisdictional adaptation planning at a regional scale. We propose that some of these challenges, such as lack of adequate time, funding and communication channels, be reframed as opportunities to build interdependence, identify issue-linkages and collaboratively explore the nature and extent of organisational trade-offs with respect to regional climate change adaptation efforts. Such a reframing can better facilitate multi-jurisdictional adaptation planning and management of shared biophysical resources generally while simultaneously enhancing organisational capacity to mitigate negative effects and take advantage of potentially favourable future conditions in an era characterised by rapid climate change.     

时延神经网络对宝兴树蛙异质种群鸣叫的聚类分析

对瓦屋山宝兴树蛙3个不同海拔分布(A:山下;B:山腰;C:山上)的异质种群鸣叫的时频参数进行分析,发现三地鸣叫各参数互相重叠,无明显界线.常规统计分析不能使三地的鸣叫聚类为各自的组.使用时延神经网络对三地宝兴树蛙鸣叫的时频参数进行有指导聚类,发现三种群鸣叫有地区性差异,并表现出由个体交流引起的山腰种群群体特征的不显著.推测差异可能是因为长期地理隔离所导致.基于神经网络的分析结果,对各种群间的个体交流情况进行了初步估计.图6表1参20     

科技园区高质量发展评价、驱动机理及路径研究

科技园区高质量发展是地区经济高质量发展的基础,厘清科技园区高质量发展影响因素及驱动机理有利于其优化发展路径与政策体系。首先,在文献分析的基础上构建专利授权数、R&D经费支出、人均工业增加值、固体废弃物综合利用率等15个高质量发展测度指标,应用主成分分析法分析得出科技园区高质量发展的内在因素包括创新驱动发展水平、数字设施建设水平、资源配置水平和绿色发展水平,并应用因子分析法对科技园区高质量发展进行综合评价。其次,通过归纳推理得出工业互联网价值共创、产业链整合、资源协同等是科技园区高质量发展的内在驱动机理。最后,提出加强数字基础设施建设、构建工业互联网平台生态、完善园区治理结构等实现科技园区高质量发展的路径建议。     

我国文化和旅游产业融合效率的时空动态演化及其驱动机理

采用仁慈型交叉DEA效率模型、冷热点分析、Tobit模型等方法对2010—2019年我国文化产业和旅游产业融合效率的时空动态演化及驱动机理进行了全面探析,结果发现:①2010—2019年我国文化产业和旅游产业融合效率呈波动上升趋势。②研究期内,文化和旅游产业融合效率呈“东部—中部—西部”依次递减,而融合效率增长率呈“东部—西部—中部”依次递减,但融合增长率都不高。③研究期内,文化产业和旅游产业融合效率呈区域差异性和集聚性。④从文化和旅游产业融合效率驱动机制剖析来看,经济发展、居民消费水平、地区城市化水平、信息发达程度、创新能力、政府政策支持力度是我国文化和旅游产业融合效率的驱动因素,促使效率时空动态演化。