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721.
人类生产生活中产生的大量废热对城市环境中的温度、城市边界层结构、空气质量及人类健康都有着重要的影响.然而目前人为热排放清单的计算方法存在所需基础资料种类繁多、计算过程复杂,空间分布和排放量有较大偏差等不足.本研究采用统计回归法基于CO和NOx污染源清单计算了2007—2015年珠江三角洲地区的人为热排放清单,对其排放趋势、热排放来源类型变化以及空间格局的演变进行了梳理.结果表明:2007—2015年珠三角地区年平均人为热均大于9 W·m-2,人为热排放峰值出现在2010年,趋势为先增加后减少,这与燃料消耗总量的变化趋势基本一致,而工业源和道路移动源是影响人为热排放总量变化的最大因素:2007—2015年珠三角地区大部分区域人为热排放处于0~20 W·m-2,高值区(>20 W·m-2)主要分布于珠三角地区中心地带的城市群,高值区缩减的面积和速度在2010—2012年期间达到最大.进一步对2012年人为热清单的不确定性分析表明:总人为热的95%置信区间的不确定性为-16%~49%,其中电厂类别排放估算中的不确定性最小,为-13%~16%,而工业源的不确定性最高,为-46%~73%. 相似文献
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基于LHS-MC青岛市工业源VOCs排放清单及不确定性 总被引:2,自引:1,他引:1
采用自下而上法,逐一采集企业活动水平,抽样调查企业获取治理措施变量,使用优化后的排放系数法建立青岛市工业源VOCs排放清单,同时将MC和LHS方法联合,模拟单变量和多变量对VOCs清单不确定性影响.结果表明,2019年青岛市工业源VOCs排放总量为4.47万t (未优化排放系数法:3.11万t),排放贡献较大行业依次为橡胶与塑料制品业、金属制品业、石油/煤炭及其他燃料加工业,占总量40.26%.多变量模拟的不确定性高于单变量,工艺过程源(-9.72%~230.51%)和溶剂使用源(-14.14%~122.77%) VOCs清单的不确定性明显高于燃烧源(-15.62%~36.41%).影响VOCs清单不确定性的行业和主要因素为:化工、造纸和纺织(排放因子);金属制品、汽车制造和化工(去除率和设施运行率);石油加工和黑色金属冶炼(样本数少).VOCs排放主要集中在:西海岸新区东部、大珠山北部、即墨区南部、城阳区北部、胶州市东北部、平度市建成区和莱西市东南部. 相似文献
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Victoria Hemming Abbey E. Camaclang Megan S. Adams Mark Burgman Katherine Carbeck Josie Carwardine Iadine Chadès Lia Chalifour Sarah J. Converse Lindsay N. K. Davidson Georgia E. Garrard Riley Finn Jesse R. Fleri Jacqueline Huard Helen J. Mayfield Eve McDonald Madden Ilona Naujokaitis-Lewis Hugh P. Possingham Libby Rumpff Michael C. Runge Daniel Stewart Vivitskaia J. D. Tulloch Terry Walshe Tara G. Martin 《Conservation biology》2022,36(1):e13868
Biodiversity conservation decisions are difficult, especially when they involve differing values, complex multidimensional objectives, scarce resources, urgency, and considerable uncertainty. Decision science embodies a theory about how to make difficult decisions and an extensive array of frameworks and tools that make that theory practical. We sought to improve conceptual clarity and practical application of decision science to help decision makers apply decision science to conservation problems. We addressed barriers to the uptake of decision science, including a lack of training and awareness of decision science; confusion over common terminology and which tools and frameworks to apply; and the mistaken impression that applying decision science must be time consuming, expensive, and complex. To aid in navigating the extensive and disparate decision science literature, we clarify meaning of common terms: decision science, decision theory, decision analysis, structured decision-making, and decision-support tools. Applying decision science does not have to be complex or time consuming; rather, it begins with knowing how to think through the components of a decision utilizing decision analysis (i.e., define the problem, elicit objectives, develop alternatives, estimate consequences, and perform trade-offs). This is best achieved by applying a rapid-prototyping approach. At each step, decision-support tools can provide additional insight and clarity, whereas decision-support frameworks (e.g., priority threat management and systematic conservation planning) can aid navigation of multiple steps of a decision analysis for particular contexts. We summarize key decision-support frameworks and tools and describe to which step of a decision analysis, and to which contexts, each is most useful to apply. Our introduction to decision science will aid in contextualizing current approaches and new developments, and help decision makers begin to apply decision science to conservation problems. 相似文献
725.
ZENG Guang-ming LIN Yu-peng QIN Xiao-sheng HUANG Guo-he LI Jian-bing JIANG Ru 《环境科学学报(英文版)》2004,16(1):126-131
A newly developed model for the optimum municipal wastewater treatment plant (MWTP) design is presented. Through introducing the interval variables, the model attempts to consider the effects of uncertainties caused by the fluctuation of the wastewater quality and quantity during the design of MWTP. The model solution procedure is illustrated in detail, and a numerical example is given to verify the feasibility and advantage of the model. Furthermore, the possibility of the model application is briefly outlined. 相似文献
726.
介绍了1μmol/mol氮气中5种氯代烯气体标准样品的研制方法。这5种氯代烯包括氯乙烯、1,1-二氯乙烯、顺1,2-二氯乙烯、三氯乙烯、四氯乙烯,其中氯乙烯常温下为气态,其他4种为液态,并且沸点低,将这几种氯代烯制备成气体标准样品存在制备精度低、气液转换不完全等困难。经研究,采用2步称量法制备5种氯代烯气体标准样品,重复制备的相对标准偏差小于1.6%。建立了5种氯代烯标准气体瓶内均匀性的实验方法,并通过考察样品量值伴随样品压力的变化来评价样品的均匀性。结果显示,5种氯代烯标准气体是均匀的,最低使用压力为1 MPa。依照ISO 15000.3来考察样品的时间稳定性,样品有效期为12个月。相对扩展不确定度为3%(置信度为95%)。 相似文献
727.
Since the onset of the COVID-19 pandemic, global virtual teams (GVTs) have become increasingly important. Drawing on conservation of resources theory and self-regulation theory, we examined the mechanism and process underlying individuals' performance in GVTs in this specific situation. We posit that the local severity of the pandemic has a negative effect on individuals' performance in GVTs and that self-regulation functions as a coping mechanism in times of pandemic-related ambient stress, reducing its negative effect on performance. We suggest that three cultural value orientations, that is, uncertainty avoidance, collectivism, and long-term orientation, explain different levels of self-regulation, which in turn moderates the relationship between the local severity of the pandemic and individual performance in GVTs. Based on a sample of 2727 individuals from 31 countries participating in an international business consulting project during the early stage of the unfolding pandemic, we show that (a) the local severity of the pandemic had a negative effect on individuals' performance, (b) the negative effect of the pandemic on performance is weaker for individuals with high self-regulation, and (c) uncertainty avoidance and long-term orientation are positively associated with self-regulation, which mediates the moderating relationship between the cultural value orientations and the relationship between the COVID-19 pandemic and individual performance in GVTs. 相似文献
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