Arid
DOI10.1016/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
ISSN0309-1708
EISSN1872-9657
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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