多重人类活动干扰下赣江流域水环境和鱼类资源的研究现状分析

赣江是长江中下游的重要支流,赣江流域的水生态安全直接关系到长江经济带建设的可持续与绿色发展。然而,近些年来,人类活动干扰对赣江流域水生态的影响还在持续增加。该文综述了截止2017年12月赣江流域的水环境、鱼类资源及人类活动干扰影响的相关文献。目前,赣江流域水环境处于中度污染级别,有机污染物增加,无机污染物无显著变化。鱼类共有124种,隶属10目32科。经统计近10年的鱼类资源,赣江流域鱼类有7目35科120种,其中上游鱼类4目14科22种,中游鱼类6目28科82种,下游鱼类7目28科91种。全流域10年中未发现的鱼类包括中华鲟、鲥鱼、刀鲚、弓斑东方鲀、斑条鱊、短须鱊、拟尖头红鲌、似鱎、条纹小鲃、泉水鱼等33种。该文分析了影响赣江流域水生态的三类主要人类活动干扰:水电站建设,工农业污染和航运、采砂等,这些干扰增加了水体中营养盐和有机污染物的含量,同时破坏了水生生物生境,进而影响了鱼类的生存。随着赣江流域多个大型水电站的规划和建设,建议今后应进一步加强水电开发对水环境和鱼类资源的影响研究,同时开展生态修复,加强生境保护,严控涉水行为,完善生态补偿机制,以保证赣江流域的绿色发展

多重人类活动干扰下赣江流域水环境和鱼类资源的研究现状分析

赣江是长江中下游的重要支流,赣江流域的水生态安全直接关系到长江经济带建设的可持续与绿色发展。然而,近些年来,人类活动干扰对赣江流域水生态的影响还在持续增加。该文综述了截止2017年12月赣江流域的水环境、鱼类资源及人类活动干扰影响的相关文献。目前,赣江流域水环境处于中度污染级别,有机污染物增加,无机污染物无显著变化。鱼类共有124种,隶属10目32科。经统计近10年的鱼类资源,赣江流域鱼类有7目35科120种,其中上游鱼类4目14科22种,中游鱼类6目28科82种,下游鱼类7目28科91种。全流域10年中未发现的鱼类包括中华鲟、鲥鱼、刀鲚、弓斑东方鲀、斑条鱊、短须鱊、拟尖头红鲌、似鱎、条纹小鲃、泉水鱼等33种。该文分析了影响赣江流域水生态的三类主要人类活动干扰:水电站建设,工农业污染和航运、采砂等,这些干扰增加了水体中营养盐和有机污染物的含量,同时破坏了水生生物生境,进而影响了鱼类的生存。随着赣江流域多个大型水电站的规划和建设,建议今后应进一步加强水电开发对水环境和鱼类资源的影响研究,同时开展生态修复,加强生境保护,严控涉水行为,完善生态补偿机制,以保证赣江流域的绿色发展。</p

高速列车的关键力学问题

在过去10年时间,中国和谐号系列高速列车经历了一系列速度上的飞跃.在最初引进消化吸收基础上,研制了新一代高速列车并大规模投入运营,伴随这一过程的大量试验与工程实践,大大促进了对高速铁路这样一个车-线-网-气流强耦合的复杂大系统中的关键力学问题的深入理解和全面研究.该文将从6个方面对高速列车研制和运行过程中的典型力学问题的研究进展以及未来的研究方向做一个梳理.考虑到这样一个大系统的复杂性,同时也为了使对高速列车感兴趣的技术与科研人员对这些力学问题有一个比较全面的认识,文中将分别就高速列车的空气动力学、弓网关系、车体振动与车体模态设计、车体运行稳定性、高速轮轨关系、关键结构的运行可靠性和列车噪声

Current research progress in the mechanics of high speed rails

在过去10年时间,中国和谐号系列高速列车经历了一系列速度上的飞跃.在最初引进消化吸收基础上,研制了新一代高速列车并大规模投入运营,伴随这一过程的大量试验与工程实践,大大促进了对高速铁路这样一个车-线-网-气流强耦合的复杂大系统中的关键力学问题的深入理解和全面研究.该文将从6个方面对高速列车研制和运行过程中的典型力学问题的研究进展以及未来的研究方向做一个梳理.考虑到这样一个大系统的复杂性,同时也为了使对高速列车感兴趣的技术与科研人员对这些力学问题有一个比较全面的认识,文中将分别就高速列车的空气动力学、弓网关系、车体振动与车体模态设计、车体运行稳定性、高速轮轨关系、关键结构的运行可靠性和列车噪声

Shell Evolution Study for New Magic Number N =32 via Isochronous Mass Spectrometry

<span style="color: rgb(51, 51, 51); font-family: arial, helvetica, sans-serif; font-size: 13px; line-height: 22px; background-color: rgb(248, 248, 248);">Recent results and progress of mass measurements of neutron-rich nuclei utilizing Isochronous Mass Spectrometry (IMS) based on the HIRFL-CSR complex at Lanzhou are reported. The nuclei of interest were produced through projectile fragmentation of primary 86Kr ions at a realistic energy of 460.65 MeV/u. After in-flight separation by the fragment separator RIBLL2, the fragments were injected and stored in the experimental storage ring CSRe, and their masses were determined from measurements of their revolution times. The re-determined masses were compared and evaluated with other mass measurements, and the impact of these evaluated masses on the shell evolution study is discussed.</span

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