Simulation of groundwater-flow dynamics in the US Northern High Plains driven by multi-model estimates of surficial aquifer recharge

被引:3
作者
Felfelani, Farshid [1 ]
Hughes, Joseph [2 ]
Chen, Fei [1 ,5 ]
Dugger, Aubrey [1 ]
Schneider, Tim [1 ]
Gochis, David [1 ]
Traylor, Jonathan [3 ]
Essaid, Hedeff [4 ]
机构
[1] Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA
[2] US Geol Survey, Chicago, IL USA
[3] US Geol Survey, Lincoln, NE USA
[4] US Geol Survey, Moffett Field, CA USA
[5] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Groundwater Modeling; MODFLOW; Recharge; Land Surface Models; Northern High Plains; LAND-SURFACE; CLIMATE-CHANGE; MODEL; WATER; SCALE; SUSTAINABILITY; REPRESENTATION; UNCERTAINTY; INTEGRATION; IRRIGATION;
D O I
10.1016/j.jhydrol.2024.130703
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
There is growing interest in incorporating higher-resolution groundwater modeling within the framework of large-scale land surface models (LSMs), including processes such as three-dimensional flow, variable soil saturation, and surface water/groundwater interactions. Conversely, complex groundwater models (e.g., the U.S. Geological Survey Groundwater-Flow Model, MODFLOW) often use simpler representations of land surface dynamics (e.g., surface vegetation, evapotranspiration, recharge) and may benefit from higher process fidelity and temporal resolutions in these inputs. This study investigates the potential of improving groundwater representation in LSMs and land surface dynamics in MODFLOW through forcing MODFLOW with recharge from LSMs. Groundwater simulations build on an existing and well-calibrated MODFLOW model of the U.S. Northern High Plains aquifer, a hydrologically complex basin under the dual impacts of conversion of native vegetation to intense irrigated agricultural fields and climate change. Simulated groundwater recharge from four different land models are used to drive MODFLOW groundwater simulations. Results show relatively large discrepancies between recharge estimates among simulations. Forcing MODFLOW using recharge simulated by some of the LSMs in place of a simple water balance model marginally improves MODFLOW groundwater simulation. Further, our results support the efficacy of coupling LSMs to a sophisticated groundwater model such as MODFLOW. The coupling results in notable improvements in matching the historical groundwater levels through reduction of the skewness coefficient in percent bias histogram (from 1.50 and 1.41 in original LSMs to 0.44 and 0.27, respectively, when MODFLOW is forced by groundwater recharge from LSMs) and reduction of bias. This modeling effort seeks to identify the best compromise between comprehensive land surface processes from global LSMs and advanced representation of groundwater from regional models.
引用
收藏
页数:12
相关论文
共 77 条
[41]  
Moeck C, 2016, HYDROGEOL J, V24, P1171, DOI 10.1007/s10040-016-1367-1
[42]   Introduction to special section on Uncertainty Assessment in Surface and Subsurface Hydrology: An overview of issues and challenges [J].
Montanari, Alberto ;
Shoemaker, Christine A. ;
van de Giesen, Nick .
WATER RESOURCES RESEARCH, 2009, 45
[43]   Comparing potential recharge estimates from three Land Surface Models across the western US [J].
Niraula, Rewati ;
Meixner, Thomas ;
Ajami, Hoori ;
Rodell, Matthew ;
Gochis, David ;
Castro, Christopher L. .
JOURNAL OF HYDROLOGY, 2017, 545 :410-423
[44]   The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements [J].
Niu, Guo-Yue ;
Yang, Zong-Liang ;
Mitchell, Kenneth E. ;
Chen, Fei ;
Ek, Michael B. ;
Barlage, Michael ;
Kumar, Anil ;
Manning, Kevin ;
Niyogi, Dev ;
Rosero, Enrique ;
Tewari, Mukul ;
Xia, Youlong .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
[45]  
Oleson K.W., 2010, Technical description of version 4.0 of the Community Land Model (CLM), P257, DOI [10.5065/D6RR1W7M, DOI 10.5065/D6RR1W7M]
[46]   Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics [J].
Pervez, Md Shahriar ;
Brown, Jesslyn F. .
REMOTE SENSING, 2010, 2 (10) :2388-2412
[47]  
Peterson S.M., 2020, USGS Numbered Series No. 1864). Groundwater availability of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming, V1864, P72, DOI [10.3133/pp1864, DOI 10.3133/PP1864]
[48]  
Peterson S.M., 2016, USGS Numbered Series, V2016-5153, P102, DOI [10.3133/sir20165153, DOI 10.3133/SIR20165153]
[49]   Global terrestrial water storage and drought severity under climate change [J].
Pokhrel, Yadu ;
Felfelani, Farshid ;
Satoh, Yusuke ;
Boulange, Julien ;
Burek, Peter ;
Gaedeke, Anne ;
Gerten, Dieter ;
Gosling, Simon N. ;
Grillakis, Manolis ;
Gudmundsson, Lukas ;
Hanasaki, Naota ;
Kim, Hyungjun ;
Koutroulis, Aristeidis ;
Liu, Junguo ;
Papadimitriou, Lamprini ;
Schewe, Jacob ;
Mueller Schmied, Hannes ;
Stacke, Tobias ;
Telteu, Camelia-Eliza ;
Thiery, Wim ;
Veldkamp, Ted ;
Zhao, Fang ;
Wada, Yoshihide .
NATURE CLIMATE CHANGE, 2021, 11 (03) :226-233
[50]   Incorporation of groundwater pumping in a global Land Surface Model with the representation of human impacts [J].
Pokhrel, Yadu N. ;
Koirala, Sujan ;
Yeh, Pat J. -F. ;
Hanasaki, Naota ;
Longuevergne, Laurent ;
Kanae, Shinjiro ;
Oki, Taikan .
WATER RESOURCES RESEARCH, 2015, 51 (01) :78-96