屏蔽电机主泵双金属飞轮飞射物对承压边界完整性破坏作用

目的掌握反应堆冷却剂泵双金属飞轮飞射物对承压边界完整性的影响规律。方法基于ANSYS/LS-DYNA对飞轮保持环失效后钨合金块与承压边界的碰撞过程进行分析,模拟承压边界在重要因素(电机壳厚度、钨合金块数)的影响下对飞轮飞射物的包容过程。结果在保持飞射物入射初速度不变的情况下,当电机壳厚度小于118 mm时,发生非包容性失效。改变钨合金块数(4、8、12、16块),可以发现钨合金块数越多,飞射物对承压边界施加的破坏能量就越小。结论增加电机壳厚度、钨合金块数有利于承压边界能够很好地包容住所有飞射物。该研究成果对屏蔽电机主泵惰转飞轮的可靠性设计具有重要意义。     

Changes in earth’s dipole

The dipole moment of Earth’s magnetic field has decreased by nearly over the past 150 years and by about 30% over the past 2,000 years according to archeomagnetic measurements. Here, we explore the causes and the implications of this rapid change. Maps of the geomagnetic field on the core–mantle boundary derived from ground-based and satellite measurements reveal that most of the present episode of dipole moment decrease originates in the southern hemisphere. Weakening and equatorward advection of normal polarity magnetic field by the core flow, combined with proliferation and growth of regions where the magnetic polarity is reversed, are reducing the dipole moment on the core–mantle boundary. Growth of these reversed flux regions has occurred over the past century or longer and is associated with the expansion of the South Atlantic Anomaly, a low-intensity region in the geomagnetic field that presents a radiation hazard at satellite altitudes. We address the speculation that the present episode of dipole moment decrease is a precursor to the next geomagnetic polarity reversal. The paleomagnetic record contains a broad spectrum of dipole moment fluctuations with polarity reversals typically occurring during dipole moment lows. However, the dipole moment is stronger today than its long time average, indicating that polarity reversal is not likely unless the current episode of moment decrease continues for a thousand years or more.     

隧道内偏置火源顶棚近壁面温度边界层效应研究

基于隧道火灾不同横向火源位置的非对称卷吸影响,通过模拟计算分析了中心火源和偏置火源产生的烟气沿纵向最大温升变化规律,研究了顶棚下方近壁面区域内的不同温度分布,提出偏置火源纵向空间最大顶棚温升公式。结果表明:在壁面黏性作用下,沿纵向蔓延的烟气最高温度在顶棚下方呈现“温度边界层”分布;随着火源位置的偏移,下游出现偏置距离起主导作用影响温度衰减的区域,衰减速度相较于中心火源逐渐降低;火源下游近壁面最高温度位置逐渐远离顶棚后趋于稳定。研究结果对于排烟方式的设计以及空间通风效果的提升有着重要意义。     

The performance of RAMS in representing the convective boundary layer structure in a very steep valley

Data from a comprehensive field study in the Riviera Valley of Southern Switzerland are used to investigate convective boundary layer structure in a steep valley and to evaluate wind and temperature fields, convective boundary layer height, and surface sensible heat fluxes as predicted by the mesoscale model RAMS. Current parameterizations of surface and boundary layer processes in RAMS, as well as in other mesoscale models, are based on scaling laws strictly valid only for flat topography and uniform land cover. Model evaluation is required to investigate whether this limits the applicability of RAMS in steep, inhomogeneous terrain. One clear-sky day with light synoptic winds is selected from the field study. Observed temperature structure across and along the valley is nearly homogeneous while wind structure is complex with a wind speed maximum on one side of the valley. Upvalley flows are not purely thermally driven and mechanical effects near the valley entrance also affect the wind structure. RAMS captured many of the observed boundary layer characteristics within the steep valley. The wind field, temperature structure, and convective boundary layer height in the valley are qualitatively simulated by RAMS, but the horizontal temperature structure across and along the valley is less homogeneous in the model than in the observations. The model reproduced the observed net radiation, except around sunset and sunrise when RAMS does not take into account the shadows cast by the surrounding topography. The observed sensible heat fluxes fall within the range of simulated values at grid points surrounding the measurement sites. Some of the scatter between observed and simulated turbulent sensible heat fluxes are due to sub-grid scale effects related to local topography.     

胶州湾COD、N、P污染物浓度数值模拟

在已建潮流模型的基础上，建立了胶州湾三维变边界污染物平流-扩散模型，模拟了胶州湾COD、N、P污染物现状浓度分布。结果表明，胶州湾主要污染因子为N，海湾东北部污染较为严重，东岸形成一条狭长的带状污染区，模拟结果与实测资料符合良好。本文统计了COD、N、P超标面积，N超一类水域面积为253km^2，占整个胶州湾面积的64％，COD和P大部分水域满足一类海水水质标准。模拟结果可为胶州湾水质管理、入海污染物总量控制提供依据。     

Increasing the microbial activity in activated sludge by the phenomenon of 'biological resonance

Mechanical oscillations as well as electrical oscillations (e.g. in an electrical oscillatory circuit) can lead to resonance conditions by external agitation with the natural frequency of the system. During the microbial protein synthesis, the induction and repression mechanisms also cause oscillations in the form of varying protein concentrations. The aim of this work concentrates on an induced resonance case of the biological system, comparable with physical resonance phenomena, by external periodic stimulations. For this, system theoretical computer simulations with a structured genetic model were carried out, which built the theoretical fundament for describing the effect of 'Biological Resonance'. Based on that, lab-scale experiments using a mixed microbial culture (activated sludge) and skimmed milk as an inducing substrate revealed an enhanced microbial productivity of around 60%-75% compared to values of the productivity under steady-state conditions in a narrow range of process parameters. The optimum (resonance case) was confirmed by a repetition of the variation experiments and is characterised by a substrate supply period of approx. 18 min and a following starvation period of about 9 min. Long-term investigations under optimised process conditions indicate adaptation mechanisms of the microorganisms to evade the imposed stress conditions. The productivity will not remain constant without additional stimulation and declines to its original level. However, temporal modulation of the starvation period permanently increases the productivity (elevated catabolism) to about 60%, which was observed over a period of several weeks.     

综合生态安全格局构建与城市扩张模拟的城市增长边界划定——以天水市规划区（2015—2030年）为例

传统的城市增长边界划定方法,一般仅考虑生态安全格局,并未考虑在现有客观条件下的城市扩张趋势,划定结果具有一定的主观性;或仅对城市的扩张进行模拟,忽略了城市的生态安全问题。针对上述问题,论文通过耦合城市综合生态安全格局与基于CA_Markov模型的城市扩张模拟结果,提出了一种新的城市增长边界划定方法:首先,合理选取因子构建研究区的综合生态安全格局,利用禁建区对综合生态安全格局的结果进行修正,获得研究区的刚性增长边界;其次,合理选取城市扩张驱动因子,通过CA_Markov模型预测城市扩张边界;最后,综合考虑刚性增长边界、模拟获得的城市扩张边界及近期城市拓展方案等,获得最终的城市增长边界。并以天水市规划区（2015—2030）为案例,对方法的科学性进行了说明。结果表明,论文划定的城市增长边界内总面积370.56 km²,占规划区总面积的7.7%。此方法能够有效解决城市增长与生态保护之间的矛盾,对河谷型城市等建设用地匮乏、生态环境脆弱城市的增长边界划定具有良好的应用价值,也可为其他类型城市的城市增长边界划定提供参考。     

加速吉林省国界河流网络环境监测站标准化建设的建议

本文通过对吉林省国界河流水质状况分析,对其网络环境监测站的监测能力、监测设备等基本情况进行了调查,提出了加速基层网络环境监测站的标准化建设的建议。     

一种改进的边界层参数化模式

在能量平衡方法的基础上提出一套利用常规气象资料求取边界层参数的改进方案。利用中国科学院大气物理研究所铁塔观测资料,与廓线法进行对比分析,表明这种方案具有输入要求少,输出信息量大,结果合理的优点。此外,对此方案中的4个可变参数作了敏感性试验,结果表明湿度变化参数α的敏感性较强,在使用时应当合理选择其数值。该方案可以满足新一代空气质量模式对边界层参数化的需求。同时,由于仅需常规气象资料就能求取所有的边界层参数,因此特别适合于空气质量模式的法规应用。     

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.