Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.advwatres.2019.05.008 |
Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin | |
Fang, Kuai1; Ji, Xinye1; Shen, Chaopeng1; Ludwig, Noel2,5; Godfrey, Peter3,5; Mahjabin, Tasnuva1; Doughty, Christine4 | |
通讯作者 | Shen, Chaopeng |
来源期刊 | ADVANCES IN WATER RESOURCES
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ISSN | 0309-1708 |
EISSN | 1872-9657 |
出版年 | 2019 |
卷号 | 130页码:12-28 |
英文摘要 | The quantification of recharge and trans-valley underflow is needed in arid regions to estimate the impacts of new water withdrawals on the water table. However, for mountainous desert areas, such estimates are highly challenging, due to data scarcity, heterogeneous soils, and long residence times. Conventional assessment employs isolated groundwater models configured with simplified uniform estimates of recharge. Here, we employed a data-constrained surface-subsurface process model to provide an ensemble of spatially distributed recharge and underflow estimates using perturbed parameters. Then, the Model-Independent Parameter Estimation and Uncertainty Quantification (PEST) package was used to calibrate the aquifer hydraulic conductivity field in MODFLOW for this ensemble and reject implausible recharge values. This novel dual-model approach, broadly applicable to mountainous arid regions, was designed to maximally exploit available data sources. It can assimilate groundwater head observations, reject unrealistic parameters, and narrow the range of estimated drawdowns due to pumping. We applied this approach to the Chuckwalla basin in California, USA to determine natural recharge. Simulated recharge concentrates along alluvial fans at the mountain fronts and ephemeral washes where run-off water infiltrates. If an evenly distributed recharge was employed as in conventional studies, it would result in regional biases in estimated drawdown and larger uncertainty bounds. We also note that the speed of groundwater recovery does not guarantee sustainability: heavy pumping induces large hydraulic gradients that initially recover quickly when pumping is halted, but the system may not ultimately recover to pre-pumping levels. |
类型 | Article |
语种 | 英语 |
国家 | USA |
开放获取类型 | Green Submitted |
收录类别 | SCI-E |
WOS记录号 | WOS:000475554300002 |
WOS关键词 | DATA ASSIMILATION ; HYDROLOGIC MODEL ; SOIL-MOISTURE ; HYDRAULIC-CONDUCTIVITY ; MOJAVE DESERT ; RECHARGE ; WATER ; EVOLUTION ; REGIONS ; HEAD |
WOS类目 | Water Resources |
WOS研究方向 | Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/213889 |
作者单位 | 1.Penn State Univ, Civil & Environm Engn, University Pk, PA 16802 USA; 2.US Forest Serv, Dept Agr, Reg Reg Off 2, Golden, CO USA; 3.US Dept Interior, Bur Land Management, Arizona State Off, Phoenix, AZ USA; 4.Lawrence Berkeley Natl Lab, Earth & Environm Sci, Berkeley, CA USA; 5.Bur Land Management, Sacramento, CA USA |
推荐引用方式 GB/T 7714 | Fang, Kuai,Ji, Xinye,Shen, Chaopeng,et al. Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin[J],2019,130:12-28. |
APA | Fang, Kuai.,Ji, Xinye.,Shen, Chaopeng.,Ludwig, Noel.,Godfrey, Peter.,...&Doughty, Christine.(2019).Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin.ADVANCES IN WATER RESOURCES,130,12-28. |
MLA | Fang, Kuai,et al."Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin".ADVANCES IN WATER RESOURCES 130(2019):12-28. |
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