Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019993 |
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 |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
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。 |
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