GSTDTAP  > 资源环境科学
DOI10.1029/2020WR028027
Improved prediction of management‐relevant groundwater discharge characteristics throughout river networks
J. R. Barclay; J. J. Starn; M. A. Briggs; A. M. Helton
2020-09-01
发表期刊Water Resources Research
出版年2020
英文摘要

Groundwater discharge zones connect aquifers to surface water, generating baseflow and serving as ecosystem control points across aquatic ecosystems. The influence of groundwater discharge on surface flow connectivity, fate and transport of contaminants and nutrients, and thermal habitat depends strongly on hydrologic characteristics such as the spatial distribution, age, and depth of source groundwater flowpaths. Groundwater models have the potential to predict spatial discharge characteristics within river networks, but models are often not evaluated against these critical characteristics and model equifinality in regards to discharge processes is a known challenge. We quantify discharge characteristics across a suite of groundwater models with commonly used frameworks and calibration data. We developed a base model (MODFLOW‐NWT) for a 1570 km2 watershed in the northeastern United States and varied the calibration data and settings; control of river‐aquifer exchange directionality; and resolution. Most models (n = 11 of 12) fit similarly to calibration metrics, but patterns in discharge location, flowpath depth, and subsurface travel time varied substantially. We found 1) a 15% difference in the percent of discharge going to 1st order streams, 2) three‐fold variations in flowpath depth, and 3) seven‐fold variations in the subsurface travel times. We recalibrated three models using a synthetic discharge location dataset. Calibration with discharge location data reduced differences in simulated discharge characteristics, suggesting an approach to reduced equifinality based on widespread field‐based mapping of discharge zones. Our work quantifying variation across common modeling approaches is an important step toward characterizing and improving predictions of groundwater discharge characteristics.

领域资源环境
URL查看原文
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/293086
专题资源环境科学
推荐引用方式
GB/T 7714
J. R. Barclay,J. J. Starn,M. A. Briggs,等. Improved prediction of management‐relevant groundwater discharge characteristics throughout river networks[J]. Water Resources Research,2020.
APA J. R. Barclay,J. J. Starn,M. A. Briggs,&A. M. Helton.(2020).Improved prediction of management‐relevant groundwater discharge characteristics throughout river networks.Water Resources Research.
MLA J. R. Barclay,et al."Improved prediction of management‐relevant groundwater discharge characteristics throughout river networks".Water Resources Research (2020).
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
[J. R. Barclay]的文章
[J. J. Starn]的文章
[M. A. Briggs]的文章
百度学术
百度学术中相似的文章
[J. R. Barclay]的文章
[J. J. Starn]的文章
[M. A. Briggs]的文章
必应学术
必应学术中相似的文章
[J. R. Barclay]的文章
[J. J. Starn]的文章
[M. A. Briggs]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。