基于陆海统筹的海岸带城市群生态网络构建方法及应用研究

海岸带地区地处海陆交互作用频繁地带,快速城市化作用下该区域陆海生态斑块破碎化问题突出。以\"闽三角\"城市群(厦门市-漳州市-泉州市)为例,提取生境敏感区、重要生态功能区及自然保护区等生态斑块的空间信息,以陆域的土地利用类型及海域的海洋功能区划构建阻力面,采用最小费用路径法,构建闽三角地区陆海一体化的生态网络,并通过网络闭合度(α指数)、线点率(β指数)和网络连接度(γ指数)评价其生态网络完善度。结果表明:(1)模拟构建的陆海一体化生态网络中连接重要生态斑块的廊道和节点主要分布于陆域的林地、草地和海域的保护区、保留区及特殊利用区等自然属性较高的区域,而人类活动密集的建设用地、港口区等则对生态廊道有较强的阻隔作用;(2)陆海交互作用的海岸带是沿海城市发展的重点区域,同时也是连接陆、海生态斑块的关键生态区域,连接陆海的生态廊道承受着城市快速发展带来的较大压力;(3)生态网络完善度评价结果(α=0.86,β=2.56,γ=0.91)表明构建的闽三角生态网络目前整体状态正常,但需关注海岸带快速城市化及其他高强度人类活动胁迫下的网络状态演变和预警。以陆海生态网络为基础,统筹闽三角城市群陆域和海域的整体生态安全布局,为海岸带城市群快速城市化过程中的陆海统筹、生态管理提供了新的思路和支撑。国家重点研发计划(2016YFC0502904);;国家自然科学基金青年科学基金项目(417012055

生态保护红线划定的情景分析方法及生态管治应用

随着国家生态文明建设的发展,生态保护红线的地位日益凸显。本文提出基于情景分析的生态保护红线划定方法。以福建省永安市为例,通过权衡不同部门、当地群众意见及实地调研结果,设置不同的生态保护红线划定情景,将各方可接受的方案作为最终权衡方案。此方案既体现出生态保护,也为当地未来的发展预留出空间。本研究的划定方法能有效指导当地的＂多规合一＂和生态管治,为权衡妥协过程的技术方法提供支撑,增加决策的科学性。“国家生态文明试验区（福建）实施方案”项目——永安市空间规划（2016—2020

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

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements