One Step toward Developing Knowledge from Numbers in Regional Analysis of Water Quality
One Step toward Developing Knowledge from Numbers in Regional Analysis of Water Quality
复制标题
区域水质分析中从数字中发展知识的一步
DOI：
10.1021/acs.est.8b01035
复制
发表时间：
2018
影响因子：
11.4
通讯作者：
Brantley, Susan L.
中科院分区：
文献类型：
--
作者：
Niu, Xianzeng;Wen, Tao;Li, Zhenhui;Brantley, Susan L.
数据定义科学研究。过去，研究人员只在印刷体上发表数据，很难找到，而现在，数据大多在网上发表。在环境科学领域，数据可访问性的增加使科学家能够使用综合数据集进行区域水质评估。1,2然而，随着数据搜索变得更加容易，由于与数据定义、结构和完整性相关的问题，从多个来源编译数据仍然很困难。以我们最近的研究为例，这一观点阐明了整合水质数据的挑战，并证明了建立数据管理标准的必要性。然而，我们并不提倡“彻底解决”这个可能永远不会发生的问题，而是提倡简单地迈出一小步，以加深对水质的了解。这样的每一小步都会吸引更多的水质专家来探索“大数据”可以学到什么。我们最近研究了页岩气开采对宾夕法尼亚州水质的影响，1使用了四个在线数据库：由国家水质监测委员会（https://www）赞助的水质门户（WQP）；waterqualitydata。us/)，萨斯奎哈纳河流域委员会（SRBC, http://mdw）。素抗体。net/waterqualityportal)、shalennetwork（通过CUAHSI的HydroClient， http://data访问）。cuahsi。org/)和临界带天文台（CZO, http://www）。czo。事业单位。edu/)。这些创新的数据门户已经发生了革命性的变化
Data define scientific research. While researchers in the past published data in print-only venues that were hard to find, nowadays data are mostly published online. In environmental science, the increase in data accessibility allows scientists to conduct regional water quality assessments using integrated data sets. 1, 2 As data searching becomes easier, however, compiling data from multiple sources remains difficult because of issues related to data definition, structure, and integrity. Using our recent research as an example, this viewpoint clarifies challenges in integrating water quality data, and demonstrates the need to establish standards for data management. Rather than advocating “a complete fix” that may never happen, however, we advocate for simply one baby step to grow understanding of water quality. Each such small step will attract more water quality specialists to discover what can be learned with “big data”.We recently studied the impacts of shale gas extraction on water quality in Pennsylvania, 1 using four online databases: Water Quality Portal (WQP) sponsored by National Water Quality Monitoring Council (https://www. waterqualitydata. us/), the Susquehanna River Basin Commission (SRBC, http://mdw. srbc. net/waterqualityportal), ShaleNetwork (accessed through CUAHSI’s HydroClient, http://data. cuahsi. org/), and Critical Zone Observatory (CZO, http://www. czo. psu. edu/). These innovative data portals have revolutionized