Flood protection beyond protection against floods: how to make sense of controversies related to the building and maintenance of dikes in Denmark

Natural Hazards - As a result of still more flood events in Denmark in the last few years, flood protection has received growing attention in many local communities. By law, in Denmark, protecting...     

冬季东寨港微微型浮游植物丰度、分布及影响因素

微微型浮游植物是水环境生态碳汇的重要基石之一,也是初级生产的重要执行者。选取了一个典型的陆海交界关键带环境——海南东寨港入海口水域,采集了东寨港红树林保护区开阔水域、入港河流和新埠海海端的微微型浮游植物的样品,通过流式细胞仪分析技术对样品进行分析,以探究它们在东寨港水域中的丰度、分布及环境指示意义。结果表明,冬季水域微微型浮游植物以真核浮游植物(Eukaryote,Euk)和聚球藻(Synechococcus,Syn)两大类群为主,其中聚球藻有两个亚群,分别为富含藻蓝蛋白聚球藻(Phycocyanin-rich,PC)和富含藻红蛋白聚球藻(Phycoerythrin-rich,PE)。Syn-PC、Syn-PE和Euk在东寨港水域表层水体的平均丰度分别为(2.61×10⁴±1.09×10⁴)、(3.06×10⁴±7.05×10³)、(1.56×10⁵±8.03×10⁴) cells/m L,底层水体的平均丰度分别为(2.64×10⁴±...     

Observations of Atmospheric Methane and Carbon Dioxide Mixing Ratios: Tall-Tower or Mountain-Top Stations?

Mountain-top observations of greenhouse gas mixing ratios may be an alternative to tall-tower measurements for regional scale source and sink estimation. To investigate the equivalence or limitations of a mountain-top site as compared to a tall-tower site, we used the unique opportunity of comparing in situ measurements of methane (\(\hbox {CH}_{4}\)) and carbon dioxide (\(\hbox {CO}_{2}\)) mixing ratios at a mountain top (986 m above sea level, a.s.l.) with measurements from a nearby (distance 28.4 km) tall tower, sampled at almost the same elevation (1009 m a.s.l.). Special attention was given to, (i) how local wind statistics and greenhouse gas sources and sinks at the mountain top influence the observations, and (ii) whether mountain-top observations can be used as for those from a tall tower for constraining regional greenhouse gas emissions. Wind statistics at the mountain-top site are clearly more influenced by local flow systems than those at the tall-tower site. Differences in temporal patterns of the greenhouse gas mixing ratios observed at the two sites are mostly related to the influence of local sources and sinks at the mountain-top site. Major influences of local sources can be removed by applying a statistical filter (\(5{\mathrm{th}}\) percentile) or a filter that removes periods with unfavourable flow conditions. In the best case, the bias in mixing ratios between the mountain-top and the tall-tower sites after the application of the wind filter was \({-}0.0005\pm 0.0010\) ppm for methane (September, 0000–0400 UTC) and \(0.11\pm 0.18\) ppm for \(\hbox {CO}_{2}\) (February, 1200–1600 UTC). Temporal fluctuations of atmospheric \(\hbox {CH}_{4}\) and \(\hbox {CO}_{2}\) mixing ratios at both stations also showed good agreement (apart from \(\hbox {CO}_{2}\) during summertime) as determined by moving bi-weekly Pearson correlation coefficients (up to 0.96 for \(\hbox {CO}_{2}\) and 0.97 for \(\hbox {CH}_{4}\)). When only comparing mixing ratios minimally influenced by local sources (low bias and high correlation coefficients), our measurements indicate that mountain-top observations are comparable to tall-tower observations.     

Eigen analysis of tree-ring records: Part 1, a limited representativeness of regional curve

Based on a set of very long-living (2,000?years) Qilian junipers (Sabina przewalskii Kom.) from the north-eastern part of the Tibetan Plateau (the region of Dulan), we carefully consider the regional curve standardization (RCS) technique. For this goal, we correlate deviations of individual tree-ring width records from their regional mean age-dependent curve (RC). It turns out that these correlations keep their positivity for almost all shifts between ages compared (up to 500?years and even more) evidencing each Dulan juniper to be a unique ??thermometer??. Just the unification of these ??thermometers?? in the form RC creates a spurious positive trend in the Dulan chronology. We modify the RCS technique to closer attach RC to these ??thermometers?? in order to construct a new chronology in which the trend is absent.     

环境与健康的评估问题和空间分析

评估环境污染对人民健康影响的研究需要结合空间,时间和统计分析,并吸引不同学科背景的研究人员合作研究,可是,在这个研究领域内,最重要的问题是研究结论的不可靠性程度很高,不同的研究方法会导致不同的结论,一个有系统的研究架构拥有不同的空间分析方法将会减少结论的可疑程度,有效的环保政策是需要可靠的研究成果,文中首先介绍在环境与健康的评估研究领域的四大重要问题,指出这项研究需要这项研究需要空间分析和地理信息系统方法,从而提出一个空间分析的研究框架和内裹的方法,通过路易斯安纳州的一个污染地点和肿瘤发病率关系研究实例,指出这项研究领域的各种问题和空间分析架构的重要性。     

物理过程参数化方案对中国夏季降水日变化模拟的影响

国际耦合模式比较计划第六阶段(CMIP6)新增的高分辨率模式比较计划(HighResMIP)首次提供全球高分辨率(25—50 km)多模式集合的气候模拟试验结果。利用8个CMIP6 HighResMIP模式评估了高分辨率全球气候模式对青藏高原夏季小时降水与极端降水的模拟能力,结果表明：CMIP6高分辨率模式高(低)估了青藏高原地区的降水量和频率(强度),过多的降水量主要来自模式对降水频率的高估,尤其是弱降水(< 2 mm·h^-1)的发生频率。模拟偏差与地形海拔密切相关,偏差大值区主要位于高原南坡和东坡陡峭地形区。模式不能准确再现降水量与海拔之间的关系,高(低)估了高(低)海拔地区的降水量。模式低估了降水强度随海拔升高而降低的变化速率。在日变化方面,模式能够模拟出青藏高原降水傍晚至午夜的峰值特征,但明显低估了降水的日变化振幅。在小时极端降水方面,模式低估了高原区域平均极端降水第95百分位数阈值,仅为观测值的57%。