Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025908 |
Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales | |
Belitz, Kenneth1; Moore, Richard B.2; Arnold, Terri L.3; Sharpe, Jennifer B.3; Starn, J. J.4 | |
2019-12-26 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:11188-11207 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The location of a point on the landscape within a stream network (hydrologic position) can be an important predictive measure in hydrology. Hydrologic position is defined here by two metrics: lateral position and distance from stream to divide, both measured horizontally. Lateral position (dimensionless) is the relative position of a point between the stream and its watershed divide. Distance from stream to divide (units of length) is an indicator of position within a watershed: generally small near a confluence and generally large in headwater areas. Watersheds and watershed divides are defined here by Thiessen polygons rather than topographic divides. Lateral position and distance from stream to divide are also defined in the context of hydrologic order. Hydrologic order "n" is defined as the network of streams, and associated divides, of order n and higher. And given that a point can have different positions in different hydrologic orders the term multiorder hydrologic position (MOHP) is used to describe the ensemble of hydrologic positions. MOHP was mapped across the conterminous United States for nine hydrologic orders at a spatial resolution of 30 m (about 8.7 billion pixels). There are 18 metrics for each pixel. Four case studies are presented that use MOHP metrics as explanatory factors in random forest machine learning models. The case studies show that lower order MOHP metrics can serve as indicators of hydrologic process while higher-order metrics serve as indicators of location. MOHP is shown to have utility as a predictor variable across a large range of scales (50,000 to 8,000,000 km(2)). |
英文关键词 | hydrology groundwater machine learning mapping GIS |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504378500001 |
WOS关键词 | CATCHMENT TRANSIT-TIME ; CENTRAL VALLEY ; THEORETICAL-ANALYSIS ; LANDSCAPE POSITION ; GLOBAL PATTERNS ; RANDOM FOREST ; BASE-FLOW ; NITRATE ; MODELS ; WATER |
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/224002 |
专题 | 资源环境科学 |
作者单位 | 1.US Geol Survey, Carlisle, MA 01741 USA; 2.USGS New England Water Sci Ctr, Pembroke, NH USA; 3.USGS Cent Midwest WSC, Urbana, IL USA; 4.USGS New England WSC, E Hartford, CT USA |
推荐引用方式 GB/T 7714 | Belitz, Kenneth,Moore, Richard B.,Arnold, Terri L.,et al. Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales[J]. WATER RESOURCES RESEARCH,2019,55(12):11188-11207. |
APA | Belitz, Kenneth,Moore, Richard B.,Arnold, Terri L.,Sharpe, Jennifer B.,&Starn, J. J..(2019).Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales.WATER RESOURCES RESEARCH,55(12),11188-11207. |
MLA | Belitz, Kenneth,et al."Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales".WATER RESOURCES RESEARCH 55.12(2019):11188-11207. |
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