多源异构大数据在环境科学中的应用
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- 英文论文题名：The Multi-source Big Data Application in Environmental Science
- 论文作者：秦之湄 ; 王斌
- 英文论文作者：Qin Zhimei ; Wang Bin ; School of SiChuan university ; Institute of architecture and environment
- 年：2016
- 作者机构：四川大学建筑与环境学院;
- 论文关键词：大数据 ; 环境科学 ; 多源异构数据
- 英文论文关键词：the big data ; environmental science ; the multi-source heterogeneous data
- 会议召开时间：2016-11-24
- 会议录名称：2016全国环境信息技术与应用交流大会暨中国环境科学学会环境信息化分会年会论文集
- 语种：中文
- 分类号：TP311.13;X1-39
- 学会代码：ZHKX
- 会议名称：2016全国环境信息技术与应用交流大会暨中国环境科学学会环境信息化分会年会
- 会议地点：中国北京
- 主办单位：中国环境科学学会环境信息化分会、《中国环境管理》杂志
- 学会名称：中国环境科学学会环境信息化分会
- 页数：5
- 文件大小：328k
- 原文格式：O
- 会议级别：全国
摘要
目前大数据分析已经成为环境科学领域的新兴热点。本文介绍了大数据的基本概念、特征及与大数据思维,论述了多源异构大数据的获取,其分析及成果应用为环境科学带来的新思路,提出可以用互联网数据扩充研究数据来源的思想,认为多源异构大数据会在环境质量预测、环境价值评估等方面为环境科学带来新的发展动力。
At present,the bigdata analysis has become a hot point in the field of environmental science.This paper introduces the basic concept,features and the thinking of the big data,discusses how to get and analyze the multi-source heterogeneous data,and the application of results bring new idea to the environmental science.This paper also puts forward that we can use the internet data to expand those thoughts of the data source.In addition,this paper expounds the multi-source heterogeneous data would bring some new driving force for development in such aspects as environmental quality monitoring and environment value assessment,etc.
At present,the bigdata analysis has become a hot point in the field of environmental science.This paper introduces the basic concept,features and the thinking of the big data,discusses how to get and analyze the multi-source heterogeneous data,and the application of results bring new idea to the environmental science.This paper also puts forward that we can use the internet data to expand those thoughts of the data source.In addition,this paper expounds the multi-source heterogeneous data would bring some new driving force for development in such aspects as environmental quality monitoring and environment value assessment,etc.
引文
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[10]Wei Jiang,YandongWang,Ming-Hsiang Tsou.Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index(AQI):A Geo-Targeted Spatiotemporal Analysis Framework with SinaWeibo(Chinese Twitter).PLoS ONE 10(10):e0141185.doi:10.1371/journal.pone.0141185.
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[2]李蔚,胡昊,徐富春等.大数据解析技术在大气环境监测中的应用研究[J].中国环境监测,2015,31(3):118-122.
[3]Pollution Patrol.Nature,2005,157,136-138.
[4]赵斌.“手机电池测量气温”背后的故事与思考[EB/OL].http://blog.sciencenet.cn/blog-502444-717645.html.
[5]Climate tracking by smartphone.Nature,500:256.2013-08-15.
[6]赵斌.科学观测也拥抱“众包”革命:用智能手机跟踪气候[EB/OL].http://biog.sciencenet.cn/blog-502444-717292.html.2013-8-16.
[7]阮雅端,陈湘军,郁建桥,等.雾霾分布视觉传感联动联控系统技术实现[J].南京大学学报,2015,51(2):234-242.
[8]Peter Harrington.机器学习实战[M].北京:人民邮电出版社.
[9]吴立波,周阳,陈海波,等.基于智能电网大数据的工业企业大气污染排放特征研究[J].中国环境管理,2016,8(4):37-42.
[10]Wei Jiang,YandongWang,Ming-Hsiang Tsou.Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index(AQI):A Geo-Targeted Spatiotemporal Analysis Framework with SinaWeibo(Chinese Twitter).PLoS ONE 10(10):e0141185.doi:10.1371/journal.pone.0141185.
[11]Yu Zheng,Xuxu Chen,Qiweijin.A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality.MSR-TR-2014-40.
[12]Yu Zheng,Xiuwen Yi,Ming Li.Forecasting Fine-Grained Air Quality Based on Big Data In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining.
[13]Yu Zheng,Xuxu Chen,Qiwei Jia A cloud-based knowledge discovery system for monitoring fine-grained air quality.MSR-TR-2014-40.
[14]Yu Zheng,Xiuwen Yi,Ming Li.Forecasting fine-grained air quality based on big data.In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining.