A new approach to quantifying and comparing vulnerability to drought

In this study we develop an “inference modeling” approach to compare and analyze how different disciplines (economics, political science, and behavioral science/environmental psychology) estimate vulnerability to drought. It is thought that a better understanding of these differences can lead to a synthesis of insights from the different disciplines and eventually to more comprehensive assessments of vulnerability. The new methodology consists of (1) developing inference models whose variables and assertions incorporate qualitative knowledge about vulnerability, (2) converting qualitative model variables into quantitative indicators by using fuzzy set theory, (3) collecting data on the values of the indicators from case study regions, (4) inputting the regional data to the models and computing quantitative values for susceptibility. The methodology was applied to three case study regions (in India, Portugal and Russia) having a range of socio-economic and water stress conditions. In some cases the estimates of susceptibility were surprisingly similar, in others not, depending on the factors included in the disciplinary models and their relative weights. A new approach was also taken to testing vulnerability parameters by comparing estimated water stress against a data set of drought occurrences based on media analysis. The new methodologies developed in this paper provide a consistent basis for comparing differences between disciplinary perspectives, and for identifying the importance of the differences.

多环芳烃菲(PHEs)在含水层砂土中的吸附行为研究

研究了多环芳烃菲(PHEs)在4种不同粒径的含水层砂土中的吸附规律及其吸附速率线性方程,探讨了离子强度和pH等因素对菲吸附的影响。结果表明:总体来说砂土对菲的吸附量都很小;直径在0.15～0.25mm范围内的砂土对菲的吸附效果最好、速率最快;含水层的离子强度越大、pH越大,砂土对菲的吸附量越小。     

Modelling Replicated Weed Growth Data using Spatially-varying Growth Curves

Weed growth in agricultural fields constitutes a major deterrent to the growth of crops, often resulting in low productivity and huge losses for the farmers. Therefore, proper understanding of patterns in weed growth is vital to agricultural research. Recent advances in Geographical Information Systems (GIS) now allow geocoding of agricultural data, which enable more sophisticated spatial analysis. Our current application concerns the development of statistical models for conducting spatial analysis of growth patterns in weeds. Our data comes from an experiment conducted in Waseca, Minnesota, that recorded growth of the weed Setariaspp. We capture the spatial variation in Setaria spp. growth using spatially-varying growth curves. An added challenge is that these designs are spatially replicated, with each plot being a lattice of sub-plots. Therefore, spatial variation may exist at different resolutions – a macro level variation between the plots and micro level variation between the sub-plots nested within each plot. We develop a Bayesian hierarchical framework for this setting. Flexible classes of models result which are fitted using simulation-based methods.     

甲型流感的流行与防控分析及其对新冠肺炎疫情的启示

目前新型冠状病毒肺炎（COVID-19）疫情在全球流行,对人类生命健康造成威胁.对甲型流感这一常见传染病进行流行特征、影响因素和防控措施分析,回顾总结全球为防控甲型流感做出的努力及相关科学研究成果,为新型冠状病毒肺炎疫情提供防控经验和研究思路.结果表明:①甲型流感呈季节性流行,受气候、社会、政治和文化等多因素影响,在低温低湿、人口密集的环境中表现出强流行性.②甲型流感防控研究工作主要包括季节性流感病毒监测、流感病毒的生态学研究、广谱中和抗体及通用疫苗的研究、应对流感大流行的病原学风险评估四方面,其中季节性流感病毒监测是制定公共卫生政策及后续研究的核心防控措施.③与甲型流感类似,新型冠状病毒肺炎疫情流行受温度等气候因素影响,同时社会、政治、文化等因素也影响其传播,亟需借鉴较成熟的甲型流感的防控经验、技术和平台.建议在加强病毒监测的同时,深入开展病毒生态学研究、病原学风险评估和药物开发,对完善疫情防控工作和预警预测未来可能出现的二次暴发及传播至关重要.研究结果将为新型冠状病毒肺炎疫情和未来传染病疫情的防控及预测预警提供参考和研究思路.      

中国大气污染物重点行业减排分析——基于假设抽取法和价格传导影响系数

以中国各行业SO₂、NO_x和烟粉尘的排放数据为基础,利用假设抽取法和投入产出价格模型,计算了各行业的需求排放、产出排放和净转移量,模拟了不同情景下重点行业减排后对整体行业需求排放的影响,并计算了重点减排行业污染成本内部化造成的价格传导影响系数.结果显示,2014年电力热力燃气供应业、非金属矿制品业和金属矿采选及冶炼延压业这3个重点行业大气污染物净转出量最大;在这3个行业同时减排15%的情景下,SO₂、NO_x和烟粉尘这3种污染物的减排量可以分别达到中国“十三五”节能减排目标的62.12%、72.65%和67.11%;电力热力燃气供应业作为大气污染物减排影响最大的行业,如果将其污染成本内部化,其生产产品的价格会对其余行业造成不同程度的影响,其中,对水生产和供应业、金属制品业产品、金属矿采选及冶炼延压业和非金属矿制品业的价格影响较大,总价格传导影响系数分别为0.272、0.151、0.148和0.131.因此,建立合理的大气污染物减排成本分摊机制一方面可以补贴基础转出行业的治理成本,另一方面可以通过价格机制激励其他行业提高技术水平,减少对电力等基础工业产品的需求.     

等离子体净化苯系物

苯系物是一种常见的工业污染物,它主要包括苯、甲苯、二甲苯、苯乙烯等,传统的处理方法有液体吸收法、吸附法、焚烧法、冷凝法、生物法等,本文对比分析了各传统方法的优缺点,提出了一项新型的等离子体技术,它具有对环境温度反应迅速、适用范围极广、系统紧凑性和操作简单的特性,同时还具备停留时间短暂等优点,尤其适用于处理挥发性有机化合物（VOCs）.主要研究了使用不同类型的等离子体反应器处理苯系物的实验装置,分析了影响等离子体技术处理苯系物的相关影响参数,如施加的电压和电场强度、输入能耗、反应器类型、反应器尺寸、载气、停留时间、苯系物的种类等,例如催化剂可以提高分解效率,优化反应条件,同时分别阐述了苯、甲苯、二甲苯、苯乙烯的降解机理.最后提出,将等离子体技术与多种处理技术联合使用,将会成为未来净化挥发性有机物的主要研究方向.     

不同气候类型下植物物候的影响因素综述

植物物候对气候变化非常敏感,可作为环境变化对植物生理活动影响的指示。植物物候的变化不仅可反映和预测全球环境的变化,还对地球物质循环和能量流动过程有着重要的影响。因此,结合植物生长背景,全面分析植物物候影响因素,探究植物物候对气候变化的响应是十分必要的。本文基于不同的气候类型下植物物候的研究,介绍了不同气候类型本身存在的气象、地域差异,总结不同气候类型下植物物候地域性特征;总结了热带亚热带气候、温带气候、寒带气候、高原山地气候4大类气候类型下植物物候变化及影响因素;讨论了当前物候研究的主要问题,并对未来研究进行了展望。综述表明,植物物候响应随气候类型呈现出不一致性,不同气候类型下影响植物物候的关键因素也不同。植物物候研究需结合植物生长环境,综合讨论相关影响因素。     

Habitat selection models to account for seasonal persistence in radio telemetry data

Models for the analysis of habitat selection data incorporate covariates in an independent multinomial selections model (McCracken et al. 1998) Ramsey and Usner 2003 and an extension of that model to include a persistence parameter (2003). In both cases, all parameters are assumed to be fixed through time. Radio telemetry data collected for habitat selection studies typically consist of animal relocations through time, suggesting the need for an extension to these models. We use a Bayesian approach that allows for the habitat selection probabilities, persistence parameter, or both, to change with season. These extensions are particularly important when movement patterns are expected to differ seasonally and/or when availabilities of habitats change throughout the study period due to weather or migration. We implement and compare the models using radio telemetry data for westslope cutthroat trout in two streams in eastern Oregon.     

用剪力图面积法绘制弯矩图

在建筑力学中,弯矩图的绘制是结构设计的基础和依据.通过对梁上外荷载与内力间微积分关系及函数图形的研究,找到了剪力图与弯矩图的内在规律,得到一种绘制弯矩图的新方法——剪力图面积法,应用这种方法可大大提高作图速度和效率.图1,表1,参6.