5 research outputs found

    长江经济带农业发展的现状特征与模式转型

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    本文基于统计数据揭示长江经济带农业发展的现状特征,并结合农业农村发展范式及其演化的回顾,探讨新时期长江经济带农业发展模式转型及其基本策略。研究发现:长江经济带作为我国最重要的农业生产区域之一,近年来农业综合生产能力虽不断提升,但产品产量和产业产值占全国的比重呈下降趋势;农产品国际贸易呈现良好态势,但农产品加工业发展仍较薄弱;农业生产化学品投入强度不断提高,带来的环境问题函待解决;农业发展的新业态不断涌现,工资性收入成为农民收入的主体和动力源。新时期长江经济带的农业发展应充分吸收多功能农业生产和网络化乡村发展范式的有益成分,激发内生动力、整合外部动力,以全国粮食生产核心区、现代农业先行区、农产加工优势区、特色农业产业带为关键目标,实现“七大转变”,着力推进区域农业的多功能转型。深化相关改革、加大财政投入、鼓励创新创业、优化区域布局、加强区域合作、强化村镇建设是实现转型的重要保障

    Study About Problems of Agriculture,Eco environment Construction and Land Resource in the Loess Plateau

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    对农业、环境建设、自然资源和农业生态经济“专家”系统建设等限制黄土高原生态农业建设和发展的有关的重大问题进行了理论分析 ,探讨了其存在的问题和运作设想 ,以求得在上述几个领域内为黄土高原生态农业、环境保护和经济的发展提供参

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

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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