第一次作业
1、检索课题名称：雾霾的成因防御及治理
2、课题分析：本课题旨在研究雾霾的形成过程及它的危害。其中“雾霾”“成因”和“治理”为课题的表层概念，因为“成因”和“治理”这两个概念过于宽泛，所以不作为检索词来使用。进一步分析“雾霾”这个概念的同义概念有“pm2.5”、“空气颗粒物污染”、考虑将其纳入检索词中。“防御”的隐含概念包含“预防”、“防范”等含义，故将这两个词也列为检索词。
3、选择检索工具：
维普资讯网（外网）— 期刊文献数据库； CNKI数据库（外网）文献数据库； 超星图书数据库 — 图书数据库
4、构建检索策略：
检索算法（雾霾+pm2.5+空气颗粒物）*（防御+防范）*治理
时间范围：因为要做定题检索，所以时间上不要求最新，初步限定在2000以后。 文献范围：
文献的类型范围--选择期刊、毕业论文、图书三个不同类型。
5、简述检索策略调整的过程： （1）维普资讯网
A、在维普资讯网选择“高级检索”， 选择“文摘”字段，在检索框中输入检索词“雾霾+pm2.5+空气颗粒物” 第二行检索框中输入检索词“防御+防范”选择“关键词”字段，在检索框中输入“治理”，三组检索词之间选择逻辑关系“并且”进行组配。时间范围限定在“2000-2013” ；只有一篇。
（2）CNKI博硕士毕业论文数据库
A、在CNKI外网， 选择“文献”字段，检索全文。时间范围限定在“2000-2013”
B、256条记录作为课题需要浏览的文献数量来说过多，进一步调整检索策略，将同意概念的检索词“PM2.5”和“防范”去掉，将所有检索词都限定在“题名与关键词”字段中，时间范围和专业范围不变，检索出来101条记录。
C、101条记录还有些多，还需进一步调整。选择在结果中检索，将期刊范围在“核心期刊”中，这次检索结果为28条记录，比较满意。
（3）超星读秀学术搜索平台
A、在全文字段没有相关文献 B在关键词里搜索“雾霾”“防御”有三篇文献
6、标示原文线索： （1）维普资讯网
题名：靖江市大气环境颗粒物污染的预防和治理
作者：吴楠 出处：《北方环境》2013年第5期 （2）CNKI外网期刊数据库
题目：《我国雾霾成因及治理的思考》
作者：张小曳 孙俊英 王亚强 李卫军 张蔷 等 出处：科学通报 2013/13 （3）超星读秀学术搜索平台 题目：《浅谈雾霾天气的危害级防御措施》
作者：王壬，尹博文
出处：华人时刊 出版日期：2013 期号;第3期
第二次作业
一．检索课题名称：雾霾的成因防御及治理
二．课题分析：本课题旨在研究雾霾的形成原因以及它的防护和治理措施。其中“雾霾”，“成因”，“治理”，为课题的表层概念，。进一步分析“雾霾”这个概念词主要指在日常生活中的“固体颗粒物”或“PM2.5”将其纳入检索词中“防御”的隐含概念包含“防止”，“抵御”等含义，故将这两个词也列为检索词。 三．关键词：雾霾 PM2.5 治理 防御 四．选择搜索引擎
1谷歌学术搜索（Google） 2百度（Baidu） 五．构建搜索策略： 检索算法：（雾霾+PM2.5）*成因 *（防护+防止）*治理 构建检文献范围：期刊论文、学位论文、会议论文、专著 六．简述检索策略调整的过程 1）谷歌学术搜索（Google） a.使用“（雾霾+PM2.5）*成因 *（防护+防止）*治理”检索运算式，搜索范围为所有网页，约有24900项结果。
b.考虑到检索结果很多，调整检索策略如下：使用检索式“雾霾*成因*治理”，限定年份为2012年以后，得到检索结果约有2320条，且相关性较好。 2）百度
a.使用“雾霾+PM2.5）*成因 *（防护+防止）*治理”检索运算式，百度一下，找到相关网页约760篇。
b.上述检索结果不是很多，但与要找的相关性不是很好，调整检索策略如下 在百度中输入以下字符“雾霾的成因防御及治理filetype:doc”找到相关结果101个，并且与想要找的相关性较大，比较满意。 七．标示原文线索： （1）谷歌
题名：我国雾霾及其治理的思考 作者：张小曳①*, 孙俊英①, 王亚强①, 李卫军②, 张蔷③, 王炜罡④, 权建农③, 曹国良⑤, 王继志①, 杨元琴①...（2）百度
题名：浅谈雾霾成因及治理 作者：周蓉
出处：中国学术期刊网
检索课题名称： 雾霾的成因及治理课题研究
课题分析：
本课题旨在研究雾霾成因和治理两方面的内容。其中“雾霾”“成因”“治理”为课题的表层概念。同时，由于“课题研究”这一概念过于宽泛，在检索时不建议作为关键词。综上所述，我们得出如下检索词
中文关键词： 雾霾 成因 预防 治理
英文主题词： haze cause governance 选择检索工具： 《美国工程索引》（Ei village）
构建检索策略：
检索策略 haze*cause* governance
检索范围：所有数据库，时间不限
检索策略调整：
A．在检索页面第一行输入“haze”检索式，检索范围为“主题”，第二行输入“cause”，第三行输入“governance”,检索范围同样为“主题”，时间跨度为所有年份，检索语言为自动，点击检索，检索结果显示，近似值为9项。
B.调整策略：仍利用上述检索式，把controlled vocabulary限定为Air Quality，再次检索，检索结果显示为6条。 表示原文线索（2条）：
1 Regional haze modeling over the VISTAS States: Preliminary verification of models-3/CMAQ for the 2002 annual period Morris, Ralph E.(ENVIRON International Corporation, 101 Rowland Way, Novato, CA 94945); McNally, Dennis; Tesche, T.W.; Tonnesen, Gail; Boylan, James; Brewer, Patricia Source: Regional and Global Perspectives on Haze, 134 VIP, p 643-662, 2004, Regional and Global Perspectives on Haze: Causes, Consequences and Controversies Visibility Specialty Conference Database: Compendex
2 Mitigation for regional haze impacts: Cleaning up smoldering coal refuse piles with CFB boilers Campbell, Bill (ENSR Corporation); Campbell, William; Paine, Robert; Shea, David Source: Electric Utilities Environmental Conference, EUEC 2005: 8th Annual Joint EPA, DOE, EEI, EPRI Conference on Air Quality, Global Climate Change and Renewable Energy, v 2006, 2006, Electric Utilities Environmental Conference, EUEC 2005: 8th Annual Joint EPA, DOE, EEI, EPRI Conference on Air Quality, Global Climate Change and Renewable Energy Database: Compendex
一，检索课题名称： 雾霾的成因及治理课题研究
二，课题分析： 本课题旨在研究雾霾成因和治理两方面的内容。其中“雾霾”“成因”“治理”为课题的表层概念。同时，由于“课题研究”这一概念过于宽泛，在检索时不建议作为关键词。综上所述，我们得出如下检索词
三，中文关键词： 雾霾 成因 预防 治理
英文主题词： haze AND cause AND governance 四，选择检索工具：Elsevier 数据库
五， 构建检索策略：haze*cause*governance
六，检索过程及策略调整：
A．
在全部文献资源中检索“haze AND cause AND governance”，检索到79篇相关文献。
B．
限定主题“air quailty” 检索到3篇相关文献。
七，全文摘录一篇：
篇名
Science–policy data compact: use of environmental monitoring data for air quality policy 著者
Jill A.Engel-Cox
Raymond M.Hoff
著者机构
a Marine Estuarine and Environmental Science Program, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA b Battelle Memorial Institute, 2101 Wilson Boulevard, Suite 800, Arlington, VA 22201, USA
文摘 Abstract Environmental policies often strongly depend on environmental monitoring data, yet these increasing datasets are not always used effectively in enacting and implementing public policy.We propose a science–policy data model that denes the conditions that facilitate the use of environmental monitoring data for policy and which could help scientists and policymakers diagnose impediments in the link between science and policy and work more effectively together to use monitoring data in environmental policy.The model includes two parts: (1) criteria for scientic monitoring data to become useful information for public policy; (2) a ‘‘data compact,’’ a relationship between senior
scientists and midlevel policymakers that enables translation of environmental monitoring data into knowledge useful for public policy.We compare the model against two case studies in the air quality literature: ozone depleting substances and acid precipitation.Finally, we use the model to ae the potential of a newly developing area that we are researching, use of satellite remote sensing data for ne particulate matter transboundary policy.# 2005 Elsevier Ltd.All rights reserved
关键词
Keywords: Policy model; Environmental policy; Data compact; Air quality; Satellite
正文
首段
1.Introduction: environmental policy and scientic data Environmental policy, concerned with human health and the natural environment, depends on data that describe
environmental conditions, such as air quality, water quality, hazardous chemical contamination, and land use.Fischer (2000) has proposed that environmental problems are different than other social policy iues, since they are argued more on scientic ndings than on moral iues: ‘‘Although they are generally traceable to human agents, environmental problems have an imposing physicality compared to other social problems.’’ Environmental politics in the U.S.began as conservation with President Theodore Roosevelt, but its modern political form began in the 1930s, when the Franklin Roosevelt administration addreed deforestation, soil erosion, ooding, protection of ora and fauna, and other areas that required information about the effects of human activity on the natural environment (Suman et al., 2002).When modern environmental legislation, such as the Clean Air Act, Clean Water Act, and Endangered Species Act were paed, each required extensive scientic environmental monitoring to set standards and monitor progre.Environmental policy from the 1960s to the present has increasingly depended on environmental monitoring and the analysis of the monitoring data 尾段
Acknowledgements The authors would like to acknowledge general sponsor- ship of past science–policy work in this arena from U.S.EPA, NASA, and NOAA.RMH receives support from the NOAA Center for Remote Sensing Science and Technology (CREST) and from a NASA Grant from Langley Research Center.Special thanks to Dr.Royce Hanson and Dr.Douglas Whelpdale for their comments and input on an early draft of the manuscript, and to Ms.Nikisa Jordan for helping with the satellite image.Thanks also to two anonymous reviewers for their comments and insight
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