温带阔叶红松林生态系统潜热通量模拟——气孔导度组合模型在Shuttleworth-Wallace双源模型中的应用(英文)

叶片水平的气孔导度组合模型已被成功扩展到冠层水平,并被应用于冬小麦生态系统潜热通量的模拟研究,但该研究仅基于1a的数据,有必要研究模型在更长时间尺度和其它生态系统类型的适用性。以长白山阔叶红松林(CBS)为研究对象,将组合模型进一步应用于Shuttleworth-Wallace双源模型,模拟了CBS3a生长季内的潜热通量,利用涡度相关系统观测的潜热通量数据对模型进行验证,并对比了双源模型与单源模型的模拟结果。结果显示,双源模型较单源模型能取得更高的模拟精度,生长季不同时期的潜热通量模拟值和实测值的日变化较一致。对双源模型模拟值和实测潜热通量的相关分析显示,二者直线回归斜率和R2分别为0.96和0.72。对长白山阔叶红松林生态系统的蒸散和植被蒸腾的季节和年际变异分析发现,影响冠层蒸散和植被蒸腾季节动态的主要因素是饱和差和辐射,而影响它们年际动态的主要因素则是饱和差和温度

温带阔叶红松林生态系统潜热通量模拟:气孔导度组合模型在Shuttleworth-Wallace双源模型中的应用(英文)

叶片水平的气孔导度组合模型已被成功扩展到冠层水平,并被应用于冬小麦生态系统潜热通量的模拟研究,但该研究仅基于1a的数据,有必要研究模型在更长时间尺度和其它生态系统类型的适用性。以长白山阔叶红松林(CBS)为研究对象,将组合模型进一步应用于Shuttleworth-Wallace双源模型,模拟了CBS3a生长季内的潜热通量,利用涡度相关系统观测的潜热通量数据对模型进行验证,并对比了双源模型与单源模型的模拟结果。结果显示,双源模型较单源模型能取得更高的模拟精度,生长季不同时期的潜热通量模拟值和实测值的日变化较中国科学院知识创新工程重要方向资助项目(KZCX2-YW-432);国家自然科学重大资助项目(30590381)~

Observation of Feshbach resonances in the F + H2 → HF + H Reaction

10.1126/science.1123452Science31157661440-1443SCIE

蔡氏疣螈在中国的分布及补遗

蔡氏疣螈(Tylototriton ziegleri)是蝾螈科疣螈属新增的一个种类,主要分布在越南北部,也曾在中国云南省麻栗坡县被发现但报道中并没有详细形态描述记录。2018年4月,依托云开山地区两栖爬行动物的监测工作,在广东省信宜云开山国家级自然保护区内发现6只疣螈,由于细痣疣螈种组内种类的主要外部形态特征极其相似,仅仅依靠野外观察和形态学鉴定较难对近缘疣螈进行准确的种类鉴别。本研究利用线粒体ND 1、ND 2、Cyt b和COI基因序列进行串联分析,基于最大似然法(ML)重建了12种疣螈的系统发生树,结果显示此次发现的疣螈应为蔡氏疣螈,且与细痣疣螈、海南疣螈和老挝疣螈的亲缘关系很近。本次鉴定结果不仅补充了蔡氏疣螈在中国分布的新纪录也进一步完善了对其形态特征的描述

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies