Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026194 |
Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression | |
Clutter, Melissa1; Ferre, Ty P. A.2; Zhang, Zhuanfang Fred3; Gupta, Hoshin2 | |
2019-11-05 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | USA |
英文摘要 | Surface barriers are commonly installed to reduce downward water movement into contaminated zones. Specifically, evapotranspiration (ET) barriers are used to store water and release it, via ET, before it can percolate into an underlying waste zone. To assess the effectiveness of a surface barrier, we used an existing data set, model-simulated data, and a dimensionality reduction approach called universal multiple linear regression (uMLR) to optimize the required number of sensors in a 2-m thick surface barrier. To understand the usefulness of implementing predictive uMLR to accommodate multiple monitoring objectives, we compare several network designs, selected based on down-sampling of existing data, with a recommended sensor design based on model simulations performed without consideration of existing data. We also added consideration of "fuzzy" design, which allows more practical guidelines for field implementation of uMLR. We found that uMLR, combined with robust decision-making, provides a simple, flexible, and high-quality network design for monitoring the total water stored in a surface barrier across multiple uncertain conditions. |
英文关键词 | measurement optimization observation network design linear regression |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000494258000001 |
WOS关键词 | MULTIOBJECTIVE OPTIMIZATION ; WATER-UPTAKE ; SIMULATION ; SYSTEM ; WORTH |
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/188252 |
专题 | 资源环境科学 |
作者单位 | 1.Ft Lewis Coll, Dept Geosci, Durango, CO 81301 USA; 2.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA; 3.Pacific Northwest Natl Lab, Richland, WA 99352 USA |
推荐引用方式 GB/T 7714 | Clutter, Melissa,Ferre, Ty P. A.,Zhang, Zhuanfang Fred,et al. Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression[J]. WATER RESOURCES RESEARCH,2019. |
APA | Clutter, Melissa,Ferre, Ty P. A.,Zhang, Zhuanfang Fred,&Gupta, Hoshin.(2019).Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression.WATER RESOURCES RESEARCH. |
MLA | Clutter, Melissa,et al."Robust Predictive Design of Field Measurements for Evapotranspiration Barriers Using Universal Multiple linear Regression".WATER RESOURCES RESEARCH (2019). |
条目包含的文件 | 条目无相关文件。 |
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