GSTDTAP  > 资源环境科学
DOI10.1002/2016WR019993
Water quality data for national-scale aquatic research: The Water Quality Portal
Read, Emily K.1; Carr, Lindsay1; De Cicco, Laura1; Dugan, Hilary A.2; Hanson, Paul C.2; Hart, Julia A.2; Kreft, James1; Read, Jordan S.1; Winslow, Luke A.1
2017-02-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:2
文章类型Article
语种英语
国家USA
英文摘要

Aquatic systems are critical to food, security, and society. But, water data are collected by hundreds of research groups and organizations, many of which use nonstandard or inconsistent data descriptions and dissemination, and disparities across different types of water observation systems represent a major challenge for freshwater research. To address this issue, the Water Quality Portal (WQP) was developed by the U.S. Environmental Protection Agency, the U.S. Geological Survey, and the National Water Quality Monitoring Council to be a single point of access for water quality data dating back more than a century. The WQP is the largest standardized water quality data set available at the time of this writing, with more than 290 million records from more than 2.7 million sites in groundwater, inland, and coastal waters. The number of data contributors, data consumers, and third-party application developers making use of the WQP is growing rapidly. Here we introduce the WQP, including an overview of data, the standardized data model, and data access and services; and we describe challenges and opportunities associated with using WQP data. We also demonstrate through an example the value of the WQP data by characterizing seasonal variation in lake water clarity for regions of the continental U.S. The code used to access, download, analyze, and display these WQP data as shown in the figures is included as supporting information.


Plain Language Summary The Water Quality Portal (http://www.waterqualitydata.us/) makes available more than 297,000,000 water quality records from all 50 states. Users can search for records at, upstream or downstream of their favorite river or lake location. Water quality Big Data is accompanied with opportunities and challenges for computing, data analysis, and interdisciplinary collaboration.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000398568800040
WOS关键词LAKE ; MANAGEMENT ; CLARITY
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20420
专题资源环境科学
作者单位1.US Geol Survey, Middleton, WI 53562 USA;
2.Univ Wisconsin, Ctr Limnol, Madison, WI 53706 USA
推荐引用方式
GB/T 7714
Read, Emily K.,Carr, Lindsay,De Cicco, Laura,et al. Water quality data for national-scale aquatic research: The Water Quality Portal[J]. WATER RESOURCES RESEARCH,2017,53(2).
APA Read, Emily K..,Carr, Lindsay.,De Cicco, Laura.,Dugan, Hilary A..,Hanson, Paul C..,...&Winslow, Luke A..(2017).Water quality data for national-scale aquatic research: The Water Quality Portal.WATER RESOURCES RESEARCH,53(2).
MLA Read, Emily K.,et al."Water quality data for national-scale aquatic research: The Water Quality Portal".WATER RESOURCES RESEARCH 53.2(2017).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Read, Emily K.]的文章
[Carr, Lindsay]的文章
[De Cicco, Laura]的文章
百度学术
百度学术中相似的文章
[Read, Emily K.]的文章
[Carr, Lindsay]的文章
[De Cicco, Laura]的文章
必应学术
必应学术中相似的文章
[Read, Emily K.]的文章
[Carr, Lindsay]的文章
[De Cicco, Laura]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。