The Selection of Market-based Policy Instruments for Building an REEF Society

建设资源节约和环境友好型社会（简称“节约型社会”）是党中央在面对资源环境形势日益严峻而做出的英明决定，是落实科学发展观、构建和谐社会的战略性举措。建设节约型社会是一个系统工程，需要突破制度、政策、管理、技术、资金、观念等多方面的困难和障碍，而当前对市场化政策工具的不重视和缺失已成为建设节约型社会的重大阻碍之一。因此，对节约型社会建设的市场化政策工具选择的研究，具有现实的必要性和重大的理论意义。全文共分三部分。第一部分首先论述了何为节约型社会，并论述了面对严峻国情建设节约型社会是一个系统的动态过程，是落实科学发展观、构建和谐社会的战略举措。第二部分则是在认识构建节约型社会是一个系统工程的基础上，...Build a resource-efficient and environment-friendly (REEF) society is the wise decision when the excellent Central Committee face the increasingly serious situation about the resources and the environment, to build an REEF society is an important strategic measure to implement the scientific development concept and build a harmonious society . Build a REEF society is a systematic project, need to ...学位：管理学硕士院系专业：公共事务学院公共管理系_行政管理学号：2005130059

论生态工业园建设——基于与传统工业园差异上的论述

从建设的角度,生态工业园较传统工业园存在巨大差异性,它涉及:企业生产链的构建和完善;生态工业园与所在社区的共建;公共服务平台的构建等传统工业园建设中未涉及或较少涉及的新领域。其目的是实现资源的最大利用与环境的最小污染。构建生态工业园需要宏观上的政府政策支持以及微观上的以政府占主导地位的各个生态工业园规划领导小组的具体实施

Study on the Establishment of Ecological Industrial Park——Based on the Difference Between Ecological Industrial Park and Traditional Industrial Park

从建设的角度,生态工业园较传统工业园存在巨大差异性,它涉及:①企业生产链的构建和完善;②生态工业园与所在社区的共建;③公共服务平台的构建等传统工业园建设中未涉及或较少涉及的新领域。其目的是实现资源的最大利用与环境的最小污染。构建生态工业园需要宏观上的政府政策支持以及微观上的以政府占主导地位的各个生态工业园规划领导小组的具体实施。There is huge difference between ecological industrial park and traditional industrial park in process of establishment. ecological industrial park involves the establishment and perfection of industrial chain,co-establishment of ecological industrial park and community,public services platform which is new in traditional industrial park. To realize maximum utilization of resource and minimum environmental pollution,the establishment of ecological industrial park needs the support of government policy and implementation

北京市农村地区生活饮用水水氟含量分析

目的掌握改水后北京市农村地区生活饮用水水氟含量水平,为农村进一步改水提供技术保障。方法 2009年和2011年分层按比例随机抽取北京市12个涉农区县的供水单位,其中集中式供水单位枯、丰水期分别检测出厂水和末梢水的水氟含量,分散式供水单位和地氟病区监测点枯、丰水期仅检测末梢水的水氟含量。结果共监测供水单位1 269个,覆盖了37.5%(1 269/3 384)的农村供水单位和27.2%(1 665 401/6 127 050)的农村人口。共采集水样4 888份,水氟中位值为0.29 mg/L,含量范围为0.01～3.22 mg/L,84.0%的水样水氟含量在0.5 mg/L以下,顺义和通州平均水氟含量相对较高。34个监测点的64份水样水氟含量超过1.0 mg/L,涉及供水人口33 683人;44.1%(15/34)的超标监测点是地氟病区监测点。地下水和地面水的水氟含量无统计学差异(P大于0.05),水氟含量在枯、丰水期出厂水和末梢水中的差异也无统计学意义(P大于0.05)。结论北京农村大部分地区属低氟水区域,但农村改水后饮水水氟仍存在超标现象,以轻度超标为主

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