A new approach to spatial source apportionment of haze pollution in large scale and its application in China

Long-lasting expansion of haze pollution in China has already presented a stern challenge to regional joint prevention and control. There is an urgent need to enlarge and reconstruct the coverage of joint prevention and control of air pollution in key area. Air quality models can identify and quantify the regional contribution of haze pollution and its key components with the help of numerical simulation, but it is difficult to be applied to larger spatial scale due to the complexity of model parameters. The time series analysis can recognize the existence of spatial interaction of haze pollution between cities, but it has not yet been used to further identify the spatial sources of haze pollution in large scale. Using econometric framework of time series analysis, this paper developed a new approach to perform spatial source apportionment. We applied this approach to calculate the contribution from spatial sources of haze pollution in China, using the monitoring data of particulate matter (PM_2.5) across 161 Chinese cities. This approach overcame the limitation of numerical simulation that the model complexity increases at excess with the expansion of sample range, and could effectively deal with severe large-scale haze episodes.     

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors

Introduction: Exploratory data reduction techniques, such as Factor Analysis (FA) and Principal Component Analysis (PCA), are widely used in questionnaire validation with ordinal data, such as Likert Scale data, even though both techniques are indicated to metric measures. In this context, this study presents an e-survey, conducted to obtain self-reported behaviors between Brazilian drivers (N = 1,354, 55.2% of males) and Portuguese drivers (N = 348, 46.6% of males) based on 20 items from the Driver Behavior Questionnaire (DBQ) on a five-point Likert Scale. This paper aimed to examine DBQ validation using FA and PCA compared to Categorical Principal Component Analysis (CATPCA) which is more indicative to use with Likert Scale data. Results: The results from all techniques confirmed the most replicated factor structure of DBQ, distinguishing behaviors as errors, ordinary violations, and aggressive violation. However, after Varimax rotation, CATPCA explained 11% more variance compared to FA and 2% more than PCA. We identified cross-loadings among the component of the techniques. An item changed its dimension in the CATPCA results but did not change the structural interpretability. Individual scores from dimension 1 of CATPCA were significantly different from FA and PCA. Individual scores from factor 1 of CATPCA were significantly different from FA and PCA. Practical applications: The CATPCA seems to be more advantageous in order to represent the original data and considering data constrains. In addition to finding an interpretable factorial structure, the representation of the original data is regarded as relevant since the factor scores could be used for crash prediction in future analyses.     

等效温度曲线的数值拟合

通风空调工程中,等效温度是衡量气候舒适程度的主要指标.传统的查图法求解等效温度不仅繁琐,而且不准确.本文以等效温度为基础,在等效温度图中取值,运用Matlab拟合数据,并进行坐标变换,求解出干球温度、湿球温度及风速之间的规律,推导出等效温度的数值求解方法.经实例计算和误差分析证明,此数值解法较为准确.     

深圳市天然γ辐射空气吸收剂量率调查

从2007年至2011年在深圳市进行了天然γ辐射空气吸收计量的调查.调查结果显示：全市天然辐射外照射空气吸收剂量率的变化范围为（4.87 ～17.68）×10^ 8Gy/h,平均值为10.00 ×10^ 8Gy/h,与广东省平均水平相当,稍高于全国平均值,属于正常天然本底范围;天然辐射外照射致深圳市居民人均年有效剂量当量（0.22 ～ 1.08） mSv,低于广东省与全国的平均水平;集体有效剂量当量54.32×10^2man· Sv.     

乌鲁木齐市民用住宅室内氡浓度水平调查研究

对乌鲁木齐市具有代表性的民用住宅室内氡浓度进行了连续一年的监测调查,调查结果显示室内氡浓度平均值55.4 Bq／m3,低于国标的“200 Bq／m3”,并据此估算出其所致居民的年均有效剂量为1.400 mSv,以及所致居民支气管上皮组织、肺、性腺、骨髓及骨表面细胞等关键组织的年吸收剂量分别为1886．49,378.96,2.80,3.20,3.20μGy／a,大于UNSCEAR2000年报告的世界平均值1.008 mSv,结合室内氡的主要来源,提出了对建筑材料进行放射性监测、控制装修、工程竣工后开展室内环境监测、加强室内通风以及开展室内氡污染治理等措施控制室内氡浓度水平。     

新疆某石化企业污水库周边土壤对钴的吸附行为研究

采用静态吸附法研究了新疆菜石化企业污水库周边土壤对重金属钴的吸附特征,考察了溶液pH值、钴离子平衡质量浓度、背景电解质浓度、吸附时间和环境温度等因素对钴吸附量的影响,并对吸附机理进行了初步探讨.结果表明:溶液pH值为1～4时,改变pH值对土壤吸附钴的影响显著;吸附时间在3h左右时钴吸附量趋于稳定;随溶液背景电解质浓度增大,土壤对钴的吸附量呈现先急剧后缓慢的下降趋势;土壤对钴的吸附量随温度升高而增加.拟合结果表明,Langmuir和Freundlich模型能较好地描述土壤对钴吸附的热力学过程;在3h内,土壤对钴吸附的动力学过程可以用一级反应动力学方程表示.方差分析结果表明,对土壤吸附钴量有显著性影响的因素有溶液pH值、钴离子平衡浓度、吸附时间和温度等.     

优势菌种对餐厨垃圾高温好氧消化的促进

为研究优势菌种对餐厨垃圾高温好氧消化(TAD)的促进作用,本研究通过淀粉水解、油脂降解及明胶液化等生化实验,从餐厨垃圾中筛选出若干对其主要成分具有显著降解效果的优势菌种。通过对样品水溶性TOC(TOCw)、水溶性凯氏氮(KNw)、水溶性C/N(KNw)、pH以及含水率等指标的分析,考察优势菌种对餐厨TAD的促进作用。研究表明,优势菌种制剂最优添加量为1%。在此剂量下,好氧消化60 h,TOCw由8.53%降低为2.49%,C/Nw由18.71降低至6.14,以上指标说明加入优势菌种可加速TAD反应。添加量1%样本的水溶性凯氏氮和pH在反应48 h后开始回升,而未添加生物制剂的样本相关参数回升时间需96 h以上,由此推断优势菌种对TAD的促进机制是加快了蛋白质等大分子有机物的降解速度。     

Low-impact development for impervious surface connectivity mitigation: assessment of directly connected impervious areas (DCIAs)

Urbanization increases directly connected impervious area (DCIA), the impervious area that is hydraulically connected to downstream drainage by closed pipelines. Although the benefits of low-impact development (LID) have been examined in other studies, its effect on alleviating DCIA levels has seldom been assessed. This study measured the DCIA of urban watersheds in Houston, TX, USA. Five land-use types were categorized and the contribution of LID facilities to reducing DCIA in each type was estimated by using Sutherland's equations. The results showed (1) DCIA in commercial areas was greater than that in residential areas, especially for big-box retailers; (2) the percentage of DCIA reduction by LID varied by land-use type; and (3) optimal combinations of LID application could maximize the effectiveness of DCIA reduction. The results contribute to prioritizing land-use type for implementing LID practices and providing local governments with a useful measure to estimate runoff volume.     

泸州市降水监测布点优化研究

在泸州市2016—2020年大气降水监测数据的基础上，借助聚类分析、多元方差分析等统计分析手段，对原有降水监测点位进行优化研究，并验证优化结果。在遵循《酸沉降监测技术规范》(HJ/T 165—2004)点位布设要求的前提下，建立了降水监测点位评价体系，从原有7个降水监测点位中优化筛选出3个。优化后的点位对监测结果的影响显著性均>0.05,表明优化前后全市降水数据无显著性差异，该优化方案不会影响区域整体代表性。