Physiochemical properties influencing biomass abundance and primary production in Lake Hoare, Antarctica

The perennially ice-covered, closed basin lakes in the McMurdo Dry Valleys respond rapidly to environmental changes, especially climate. For the past 15 years, the McMurdo Dry Valleys Long-Term Ecological Research (MCM-LTER) program has monitored the physical, chemical and biological properties of the lakes in Taylor Valley. In order to better assess the physiochemical controls on the biological process within one of these lakes (Lake Hoare), we have used vertical profile data to estimate depth-dependent correlations between various lake properties. Our analyses reveal the following results. Primary production rates (PPR) are strongly correlated to light (PAR) at 12-15 m and to soluble reactive phosphorus (SRP) at 8-22 m. Chlorophyll-a (CHL) is also positively correlated to PAR at 14 m and greater depths, and SRP from 15 m and greater. This preliminary statistical analysis supports previous observations that both PAR and SRP play significant roles in driving plant growth in Lake Hoare. The lack of a strong relationship between bacterial production (BP) and dissolved organic carbon (DOC) is an intriguing result of the analysis.     

一种非平稳随机振动试验控制系统设计

目的 实现非平稳随机振动试验控制,在传统随机振动试验控制理论基础上,提出一种针对非平稳连续振动方式下的随机试验控制方法.方法 将均方根时变的非平稳随机振动过程近似等效为一个均方根和PSD谱的乘积模型,通过实时计算归一化的驱动谱,利用均方根实时跟随控制策略,更新驱动信号,实现连续非平稳随机振动控制.利用软件编程实现控制算...     

基于地统计模型的上海大气污染物多建模方法的比较

地统计模型被广泛应用于环境空气污染物暴露模拟,但不同建模方法及其模拟结果之间的对比研究较少.基于上海2016~2019年55个环境空气监测点位的NO₂和PM_2.5观测数据,以及交通路网、排放源兴趣点和卫星数据等地统计变量,应用偏最小二乘回归（PLS）、监督学习线性回归（SLR）和机器学习随机森林（RF）这3种建模方法创建年暴露模型,并进一步应用普通克里金插值（OK）法分析模型残差,构建复合模型.应用交叉验证对模型的模拟效果进行检验,选取每一种建模方法的最优模型结构（是否应用OK）作为最终模型.结果表明,NO₂模型中表现最好的是RF-OK （R_mse²为0.70~0.82）和PLS-OK模型（R_mse²为0.78~0.84）;PM_2.5模型中PLS模型（R_mse²为0.62~0.71）优于SLR-OK （R_mse²为0.40~0.79）和RF-OK （R_mse²：0.31~0.56）模型.应用3种建模方法对上海1 km网格开展年暴露模拟和对比,NO₂模型间模拟结果的相关性（r为0.82~0.91）高于PM_2.5模拟结果的相关性（r为0.66~0.96）.基于3种模型2019年的模拟结果,评估了上海NO₂和PM_2.5的人群暴露水平.     

Modelling above- and below-ground mass loss and N dynamics in wooden dowels (LIDET) placed across North and Central America biomes at the decadal time scale

This article focuses on modelling above and below-ground mass loss and nitrogen (N) dynamics based on the wooden dowels (Gonystylus bancanus [Miq.] Kurz) of the decadal Long-term Intersite Decomposition Experiment (LIDET) data. These dowels were placed at 27 locations across North and Central America, involving tropical, temperate and boreal forests, grasslands, wetlands and the tundra. The dowel, inserted vertically into the soil with one half remaining exposed to the air, revealed fast mass and N losses under warm to humid conditions, and slow losses under wet as well as cold to dry conditions. The model formulation, referred to as the Wood Decomposition Model, or WDM, related these losses to (i) mean annual precipitation, mean monthly January and July air temperatures, and (ii) mean annual actual evapotranspiration (AET) at each location. The resulting calibrations conformed well to the time-in-field averages for mass remaining by location: R² = 0.83 and 0.90 for the lower and upper parts, respectively. These values dropped, respectively, to 0.41 and 0.55 for the N concentrations, and to 0.28 and 0.43 for N remaining. These reductions likely refer to error propagation and to as yet unresolved variations in N transference into and out of the wood specific to each individual dowel location. Recalibrating the model parameters by ecosystem type reduced the R² values for actual versus best-fitted mass loss by about 0.15. Doing the same without location- or ecosystem-specific adjustments reduced the R² values further, by about 0.3.     

新冠肺炎疫情对咸阳市空气质量的影响

利用机器学习模型控制气象因素影响,定量分析了疫情期间污染源减排对咸阳空气质量的影响.结果表明,与未发生疫情情景相比,疫情期间咸阳PM_2.5、PM₁₀、SO₂、NO₂和CO浓度分别下降19.3%、26.0%、13.4%、60.1%和9.1%,NO₂降幅最大,SO₂和CO降幅较小,O₃浓度不降反而上升50.9%.在一次排放和二次生成前体物都下降的情况下,PM_2.5降幅低于预期,O₃浓度不降反升,反映出PM_2.5和O₃治理的复杂性,暗示了剩余污染源对咸阳空气质量影响较大,而停产限产政策（与疫情影响类似）对咸阳空气质量改善有限,未来应重点关注散煤和生物质燃烧、热力生产和供应、原油加工及石油制品制造等剩余污染源的治理.     

国有自然资源资产管理体制改革的建议与思考

自然资源产权管理和专业监管的分立可充分发挥市场作用,进一步促进简政放权,实现对山水林田湖草的综合管理,克服监管盲点,提升综合保护绩效,促进绿水青山转化为金山银山。设立专门机构开展自然资源资产管理,《生态文明体制改革总体方案》等规定了改革依据;自然资源统一确权登记试点取得积极进展,奠定了工作基础;与自然资源资产负债表、绿色GDP核算、生态文明建设目标评价考核等结合起来,促进改革的系统化和连贯化;建议在国家和省、市成立三级国有自然资源资产管理机构,在部分区域和流域派驻机构。为保障改革的实施,需界定国有自然资源资产的范围及所有权、监管权的角色和权限;改革生态补偿、排污权有偿使用、资源有偿利用等制度;明晰流域与属地的权力(利)关系;明确自然资源资产管理职责和生态环保党政同责的关系;重构环境保护税、资源税和自然资源资产使用费的关系;规定自然资源资产管理的原则、体制、制度和责任;建立自然资源资产清单、权利清单和管理信息平台;厘清各方权利边界和监管边界,建立评价考核和奖惩机制。     

基于植被指数和神经网络的热带人工林地上蓄积量遥感估测

热带森林作为陆地生态系统的组成成分之一,研究其蓄积量估测对我们了解其在全球碳循环中的地位和作用有很重要的意义.但遥感估测森林生态参数的精度如何,还是个不确定的问题.利用LANDSAT-TM数据,基于森林清查数据和遥感技术,以尾叶桉和加勒比松为例,对中国南方地区人工林蓄积量估测进行了尝试研究.首先,通过测量样方胸径、树高,建立森林蓄积量估算模型.其次,通过对比分析不同植被指数与森林蓄积量之间的关系,选择合适植被指数组合,建立多元回归和神经网络模型.结果表明:单波段TM数据和大多数植被指数与蓄积量相关性并不好.神经网络比回归分析模拟效果好.而多元回归和神经网络模型大大提高预测精度.本研究方法对大面积的森林蓄积量估测具有一定的参考价值.     

The Dynamics of Species Composition and Abundance of Wasps from the Families Pompilidae, Sphecidae, and Vespidae (Hymenoptera: Aculeata) in Successional Pine Biogeocenoses of the Berezinskii Biosphere Reserve

The data on the dynamics of population size and species composition of wasps from the families Pompilidae, Sphecidae, and Vespidae were obtained in the course of long-term studies carried out in successional pine forests of the Berezinskii Biosphere Reserve. The abundance and species diversity of wasps were significantly higher in a polewood forest (40 years) than in a young forest (20 years) and mature moss forest (70 years). In an overgrown ride in the moss pine forest, the composition of dominant wasp species remained relatively stable during the seven-year period of observations, although the number of species and their abundance varied significantly from year to year, depending on the weather.     

The effect on dispersal from complex correlations in small-scale movement

Calculations of large-scale displacement distances were made to evaluate the combined effect of small-scale movement pattern of a Collembola, Protaphorura armata. The effect of presence of food and conspecific density on turning angle, step length and activity/motility was investigated. Calculations of net square displacement were made both by assuming correlated random walk (CRW) and by resampling data to account for correlation structures in movement patterns that violate the assumptions of CRW.     

基于随机森林的阻变型通风网络故障诊断方法*

为了在矿井通风网络发生阻变型故障时,能够快速准确判断出故障位置和故障量,提出1种基于随机森林的通风网络故障位置和故障量诊断方法。利用矿井通风仿真系统IMVS将唐安矿模拟故障生成空间数据集并进行数据预处理,构建基于随机森林的故障诊断模型,并利用该诊断模型对唐安矿矿井通风网络模拟故障位置和故障量进行判断和预测。引用多种方法对模型进行度量,通过唐安矿模拟实验验证基于随机森林的故障诊断模型的有效性。将随机森林和决策树的故障诊断准确率进行对比,研究结果表明:随机森林较决策树故障准确率有进一步的提高,并发现故障地点失误诊断多是相邻巷道,在一定程度上工作人员对故障地点的判断并不受其影响。