基于主成分分析法对安肇新河水质评价的研究

安肇新河为大庆市的南线排水系统的主要排水干渠.安肇新河河道北起王花泡滞洪区,南抵松花汪,东邻肇兰新河,西至大庆市西排干,流域形状基本上为狭长形,河道的主要任务是排泄古恰闸以上七个滞洪区及各区间的来水.由于运用单因子综合评价法无法对安肇新河的水质进行比较分析,特引入主成分分析法对近十年数据进行分析,进一步比较了安肇新河时间和空间上的水质变化情况.通过对因子选择和计算,对安肇新河近10年的数据进行空间和时间的科学比对,进行综合比较并作出时间和空间上的评价.     

Practitioner insights as a means of setting a context for conservation

A key obstacle to conservation success is the tendency of conservation professionals to tackle each challenge individually rather than collectively and in context. We sought to prioritize barriers to conservation previously described in the conservation literature. We undertook an online survey of 154 practitioners from over 70 countries to ascertain the most important barriers to conservation they faced. We used statistical analyses to identify the key impediments to conservation success and to examine whether these were affected by organizational attributes. Twenty-one barriers were identified. The importance ascribed to those was influenced by continent of operation and organization size, but not by organization age or autonomy (from larger parent organizations). We found the most important barriers to consider when undertaking conservation action were wider issues (e.g., population growth, consumerism, favoring development, and industrial-scale activity), operating environment (e.g., lack of political will, ineffective law enforcement, weak governments, corruption, safety and security), community attributes (e.g., dynamics, conflicts, and education levels), and the way conservation is undertaken (overconfidence, lack of funding, and externally set agendas). However, we advise against applying a one-size-fits-all approach. We propose that conservationists account for the complex socioecological systems they operate in if they are to achieve success.     

北京市交通路口大气颗粒物污染特征研究(Ⅰ)——大气颗粒物污染特征及其影响因素

研究了北京市典型交通路口大气颗粒物的污染特征及影响因素.于2000年6月在北京市主要交通路口之一的崇文门路口,采集了大气中不同粒径的颗粒物样品,并进行了颗粒物质量浓度、离子浓度和元素质量浓度的分析,同时进行了样品采集期间机动车流量调查.研究结果表明,6月5日大气颗粒物污染严重.6月6日0∶10-3∶50,ρ(PM_2.5)达到最高值.崇文门路口的大气颗粒物污染水平与机动车流量之间无明显的对应关系.交通来源颗粒物是影响交通路口污染水平的首要因素,颗粒物中Al,Ca,Fe和Mg等元素主要来自机动车行驶载带的道路可扬尘,而Cu,Pb等元素主要来自机动车的排放.还指出了今后进行该类研究的主要方向和技术思路.      

绿色大学建设中的生态足迹

生态足迹分析法是评价绿色大学建设水平最好的指标之一.生态足迹分析法有综合法和成分法2种.本文简要介绍了生态足迹成分法的基本原理和算法,并以东北大学为例将该方法应用大学校园的研究.结果表明,东北大学2003年的生态足迹为24787hm2,即需要约25000hm²的生态生产性土地支持学校的各类消费并吸纳所产生的废弃物.其生态效率(即单位生态生产性土地可支持的学生数)为0.94人·hm^-2.生态足迹中,能源消费的足迹最大,占总足迹的2/3多;食物消费和固态垃圾次之,分别占总足迹的21.9%和5.7%.     

废旧电路板的组成与解离特性研究

废旧印刷电路板是电子废弃物的重要组成部分,含有大量金属、玻璃纤维增强树脂、塑料等有回收利用价值的组分,但处理不当会产生严重污染。在分析中,对细碎到粒度为5mm以下的废旧电路板物料中有价资源的赋存状态和解离特性进行了系统的研究,发现金属与非金属的基本解离粒度为1 2mm,解离度为55. 51%;塑料与其他金属(除铜、铁外)是0. 5mm以上废旧电路板物料中的主要组分,树脂与铜是0 .5mm以下物料中的主要组分;物料中平均金属含量为23. 80%,平均铜含量为5. 78%。     

企业碳信息披露质量评价及影响因素研究

科学有效地评价企业的碳信息披露质量并探寻影响碳信息披露的主要因素，有助于进一步提升企业的碳信息披露质量水平、发挥企业在我国如期实现碳达峰及碳中和进程中的积极作用。基于碳信息披露的四个维度构建制造业企业碳信息披露质量的评价体系，综合主成分分析法和熵权法测度我国制造业企业2018—2020年真实的碳信息披露质量水平及变化趋势，有效降低评价指标的维数，避免单一熵权法权重失真情况，并通过随机森林回归识别各个指标对企业碳信息披露质量的重要性。研究发现：（1）主成分和熵权法组合可有效降低信息量少的“干扰”维度对企业碳信息披露的影响，能客观真实地评价我国制造业企业的碳信息披露质量，从而获得比传统单独采用单一方法更有效的评价结果。（2）2018—2020年，我国制造业企业的碳信息披露质量整体呈现上升趋势且2020年的碳信息披露质量水平提升最大。（3）我国制造业企业的碳信息披露质量整体偏低，不同企业间的碳信息披露质量存在较大差异。（4）企业的研发投入、总资产、总负债等因素对企业碳信息披露质量有较大影响。     

Factors Affecting Take-up of and Drop-out from Home Composting Schemes

This paper reports survey results from Scotland and north-west England into home composting attitudes and behaviours. The results concentrate on: the take-up of home composting through promotional campaigns; and the reasons for drop-out. Motivations for take-up were balanced between environmental and gardening reasons, although capital cost was an important issue for some. Drop-outs occurred mainly through participants moving house or because of lack of success in producing compost. Few of those experiencing problems sought help. Those that did favoured official or professional sources. Neighbourhood social pressures to compost were relatively weak. The results are discussed in terms of the sustainability of home composting behaviour and the manage ment interventions that might be required in sustaining that behaviour.     

Differences in the quality of steamed hull-less barley and wheat cakes北大核心CSCD

In this study, three different hull-less barley varieties were used to prepare steamed cakes, and their nutritional value, sensory qualities, textural properties, and in vitro starch hydrolysis were evaluated. The results showed that the contents of total dietary fiber (4.50%-5.12%), β-glucan (2.96%-3.96%), total flavonoids (12.56-38.73 mg/100 g), and γ-aminobutyric acid (5.08-9.53 mg/100 g) in the steamed hull-less barley cakes were significantly higher than that in the steamed wheat cake, which were 0.65%, 0.23%, 3.93 mg/(100 g), and 2.63 mg/(100 g), respectively. The sensory properties of steamed ordinary hull-less barley and wheat cakes were not significantly different, but the steamed 08-1127 (waxy hull-less barley) cake was softer and out of shape. The springiness, resilience, cohesiveness, gumminess, and adhesiveness of steamed ordinary hull-less barley cakes were similar to those of steamed wheat cake, while those of steamed 08-1127 cakes were significantly lower than those of steamed ordinary hull-less barley cakes. Steamed hull-less barley cake also showed a maximum starch hydrolysis rate (38.76%-42.74%) that was lower than that of steamed wheat cake (49.92%), and the contents of rapidly (11.58%-13.16%) and slowly digested starch (5.34%-7.56%) were lower than that of steamed wheat cake (17.21% and 15.97%, respectively). In addition, the glycemic (59.37-61.67) and hydrolysis indexes (35.82-40.00) were lower than those of steamed wheat cake (76.66 and 67.30, respectively), and the contents of resistant starch (2.74%-3.55%) were higher than those of wheat steamed cake (1.68%). Therefore, the steamed cakes of ordinary hull-less barley had a higher content of nutritional components than the steamed cake of wheat, and the in vitro starch hydrolysis parameters were better than those of steamed wheat cake. When it is necessary to consider both nutritional and sensory qualities, ordinary hull-less barley can be selected as the raw material for steamed cakes, but waxy hull-less barley is not suitable for making steamed cakes. © 2022 Science Press. All rights reserved.     

Biomineralogy of human urinary calculi (kidney stones) from some geographic regions of Sri Lanka

Kidney stones (urinary calculi) have become a global scourge since it has been recognized as one of the most painful medical problems. Primary causative factors for the formation of these stones are not clearly understood, though they are suspected to have a direct relationship to the composition of urine, which is mainly governed by diet and drinking water. Sixty nine urinary calculi samples which were collected from stone removal surgeries were analyzed chemically for their Na, K, Ca, Mg, Cu, Zn, Pb, Fe and phosphate contents. Structural and mineralogical properties of stones were studied by XRD and FT-IR methods. The mean contents of trace elements were 1348 mg kg⁻¹ (Na); 294 mg kg⁻¹ (K); 32% (Ca); 1426 mg kg⁻¹ (Mg); 8.39 mg kg⁻¹ (Mn); 258 mg kg⁻¹ (Fe); 67 mg kg⁻¹ (Cu); 675 mg kg⁻¹ (Zn); 69 mg kg⁻¹ (Pb); and 1.93% (PO₄³⁻). The major crystalline constituent in the calculi of Sri Lanka is calcium oxalate monohydrate. Principal component analysis was used to identify the multi element relationships in kidney stones. Three components were extracted and the first component represents positively correlated Na-K-Mg-PO₄³⁻ whereas the␣second components represent the larger positively weighted Fe–Cu–Pb. Ca–Zn correlated positively in the third component in which Mn–Cu correlated negatively. This study indicates that during the crystallization of human urinary stones, Ca shows more affinity towards oxalates whereas other alkali and alkaline earths precipitate with phosphates.Contribution from the Environmental Geology Research Group (EGRG), Department of Geology, University of Peradeniya, Sri Lanka.     

Spatiotemporal Features of Severe Air Pollution in Northern Taiwan (8 pp)

Background, Aims and Scope This research attempted to identify the dominant factors simultaneously affecting the airborne concentrations of five air pollutants with principal component analysis and to determine the meteorologically related parameters that cause severe air-pollution events. According to the definition of subPSI and PSI values through the U.S. EPA, the historical raw data of five criteria air pollutants, SO2, CO, O3, PM10 and NO2, were calculated as daily subPSI values. In addition to the airborne concentrations, this study simultaneous collected the surface meteorological parameters of the Taipei meteorological station, established by the Central Weather Bureau. Methods Principal component analysis was conducted to screen severe air pollution scenarios for five air pollutants: SO2, CO, O3, PM10 and NO2. The concentrations of various air pollutants measured at 17 air-quality stations in northern Taiwan from 1995 to 2001 were transformed into daily subPSI values. The correlation analysis of the five air pollutants and four meteorological parameters (wind speed, temperature, mixing height and ventilation rate) were included in this research. After screening severe air pollution scenarios, this study recognized the synoptic patterns easily causing the severe air-pollution events. Results and Discussion Analytical results showed that the eigenvalues of the first two principal components for SO2, CO, O3, PM10 and NO2 were greater than 1. The first component of five air pollutants explained 64, 64, 67, 76 and 63% of subPSI variance for SO2, CO, O3, PM10 and NO2, respectively. Only the correlation coefficient of NO2 and CO had statistically significant positive values (0.82); other pollutant pairs presented medium (0.4 to 0.7) or low (0 to 0.4) positive values. The correlation coefficients for air pollutants and three meteorological parameters (wind speed, mixing height and ventilation index) were medium or low negative values. In northern Taiwan, spring was most likely induced high concentrations and the component scores of the first component for SO2, CO, PM10 and NO2; summer was the worst season that caused high O3 episodes. Consequently, the analytical results of factor loadings for the first principal component and emission inventory of various sources revealed that mobile sources were dominant factors affecting ambient air quality in northern Taiwan. Conclusion According to the results of principal component analysis for the five air pollutants, the first two of 17 components were cited as major factors and explained 71% of subPSI variance. Based on the inventory of NOx emissions and the isopleth diagram of factor loading for the first component, mobile sources in the southwest Taipei City accounted for the highest factor loading values and emission inventory values. Synoptic analysis and principal component analysis demonstrated that three types of weather patterns (high-pressure recirculation, prefrontal warm sector and the southwesterly wind system) easily caused the severe air-pollution scenarios. In summary, if severe air-pollution days occurred, the average meteorological parameters experienced adverse conditions for diffusing air pollutants; that is, the average values of wind speed, mixing height and ventilation index were lower than 2.1 ms-1, 360 m and 800 m2s-1, respectively. If one of the three synoptic patterns were to occur in combination with adverse meteorological conditions, severe air-pollution events would be developed. Recommendation and Outlook By utilizing synoptic patterns, this work found three weather systems easily caused severe air-pollution events over northern Taiwan. Analytical results showed, respectively, the wind speed and mixing height were less than 2.1 m/s and 360 m during severe air-pollution events.