Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020677 |
Synoptic Sampling to Determine Distributed Groundwater-Surface Water Nitrate Loading and Removal Potential Along a Lowland River | |
Pai, Henry1; Villamizar, Sandra R.2; Harmon, Thomas C.3 | |
2017-11-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Colombia |
英文摘要 | Delineating pollutant reactive transport pathways that connect local land use patterns to surface water is an important goal. This work illustrates high-resolution river mapping of salinity or specific conductance (SC) and nitrate (NO3-) as a potential part of achieving this goal. We observed longitudinal river SC and nitrate distributions using high-resolution synoptic in situ sensing along the lower Merced River (38 river km) in Central California (USA) from 2010 to 2012. We calibrated a distributed groundwater-surface water (GW-SW) discharge model for a conservative solute using 13 synoptic SC sampling events at flows ranging from 1.3 to 31.6 m(3) s(-1). Nitrogen loads ranged from 0.3 to 1.6 kg N d(-1) and were greater following an extended high flow period during a wet winter. Applying the distributed GW-SW discharge estimates to a simplistic reactive nitrate transport model, the model reproduced observed river nitrate distribution well (RRMSE=5-21%), with dimensionless watershed-averaged nitrate removal (kt) ranging from 0 to 0.43. Estimates were uncertain due to GW nitrate data variability, but the resulting range was consistent with prior removal estimates. At the segment scale, estimated GW-SW nitrate loading ranged from 0 to 17 g NO3- s(-1) km(-1). Local loading peaked near the middle of the study reach, a location that coincides with a shallow clay lens and with confined animal feed operations in close proximity to the river. Overall, the results demonstrate the potential for high-resolution synoptic monitoring to support GW-SW modeling efforts aimed at understanding and managing nonpoint source pollution. |
英文关键词 | nitrate river |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418736700045 |
WOS关键词 | SAN-JOAQUIN VALLEY ; DENITRIFICATION ; CALIFORNIA ; STREAM ; NITROGEN ; CONTAMINATION ; VARIABILITY ; ECOSYSTEMS ; TRANSPORT ; POLLUTION |
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/20090 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Nevada, Dept Geol Sci & Engn, Reno, NV 89557 USA; 2.Univ Pontificia Bolivariana, Dept Civil Engn, Bucaramanga, Santander, Colombia; 3.Univ Calif Merced, Sch Engn, Merced, CA USA |
推荐引用方式 GB/T 7714 | Pai, Henry,Villamizar, Sandra R.,Harmon, Thomas C.. Synoptic Sampling to Determine Distributed Groundwater-Surface Water Nitrate Loading and Removal Potential Along a Lowland River[J]. WATER RESOURCES RESEARCH,2017,53(11). |
APA | Pai, Henry,Villamizar, Sandra R.,&Harmon, Thomas C..(2017).Synoptic Sampling to Determine Distributed Groundwater-Surface Water Nitrate Loading and Removal Potential Along a Lowland River.WATER RESOURCES RESEARCH,53(11). |
MLA | Pai, Henry,et al."Synoptic Sampling to Determine Distributed Groundwater-Surface Water Nitrate Loading and Removal Potential Along a Lowland River".WATER RESOURCES RESEARCH 53.11(2017). |
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