Water table depth assimilation in integrated terrestrial system models at the larger catchment scale

被引:2
|
作者
Li, Fang [1 ,2 ]
Kurtz, Wolfgang [1 ,2 ]
Hung, Ching Pui [1 ,2 ]
Vereecken, Harry [1 ,2 ]
Hendricks Franssen, Harrie-Jan [1 ,2 ]
机构
[1] Forschungszentrum Julich, Agrosphere Inst, IBG 3, Julich, Germany
[2] Ctr High Performance Sci Comp Terr Syst HPSC TerrS, Geoverbund ABC J, Leo Brandt Str, Julich, Germany
来源
FRONTIERS IN WATER | 2023年 / 5卷
关键词
groundwater; data assimilation; integrated model; real data; soil moisture; cosmic-ray neutron sensors; ENSEMBLE KALMAN FILTER; HYDROLOGIC DATA ASSIMILATION; SOIL-MOISTURE; GROUNDWATER-FLOW; SURFACE; TEMPERATURE; PARALLEL; NETWORK; CALIBRATION; TRANSFORM;
D O I
10.3389/frwa.2023.1150999
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
As an important source of water for human beings, groundwater plays a significant role in human production and life. However, different sources of uncertainty may lead to unsatisfactory simulations of groundwater hydrodynamics with hydrological models. The goal of this study is to investigate the impact of assimilating groundwater data into the Terrestrial System Modeling Platform (TSMP) for improving hydrological modeling in a real-world case. Daily groundwater table depth (WTD) measurements from the year 2018 for the Rur catchment in Germany were assimilated by the Localized Ensemble Kalman Filter (LEnKF) into TSMP. The LEnKF is used with a localization radius so that the assimilated measurements only update model states in a limited radius around the measurements, in order to avoid unphysical updates related to spurious correlations. Due to the mismatch between groundwater measurements and the coarse model resolution (500 m), the measurements need careful screening before data assimilation (DA). Based on the spatial autocorrelation of the WTD deduced from the measurements, three different filter localization radii (2.5, 5, and 10 km) were evaluated for assimilation. The bias in the simulated water table and the root mean square error (RMSE) are reduced after DA, compared with runs without DA [i.e., open loop (OL) runs]. The best results at the assimilated locations are obtained for a localization radius of 10 km, with an 81% reduction of RMSE at the measurement locations, and slightly smaller RMSE reductions for the 5 and 2.5 km radius. The validation with independent WTD data showed the best results for a localization radius of 10 km, but groundwater table characterization could only be improved for sites <2.5 km from measurement locations. In case of a localization radius of 10 km the RMSE-reduction was 30% for those nearby sites. Simulated soil moisture was validated against soil moisture measured by cosmic-ray neutron sensors (CRNS), but no RMSE reduction was observed for DA-runs compared to OL-run. However, in both cases, the correlation between measured and simulated soil moisture content was high (between 0.70 and 0.89, except for the Wuestebach site).
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Integrated modelling and optimisation of irrigation systems at the field and catchment scale with limited water resources
    Schuetze, Niels
    Stange, Peter
    Griessbach, Ulrike
    Roehm, Patric
    Wagner, Michael
    HYDROLOGIE UND WASSERBEWIRTSCHAFTUNG, 2016, 60 (01): : 7 - 21
  • [22] Water Table Depth and Soil Salinization: From Pore-Scale Processes to Field-Scale Responses
    Shokri-Kuehni, Salome M. S.
    Raaijmakers, Bernadette
    Kurz, Theresa
    Or, Dani
    Helmig, Rainer
    Shokri, Nima
    WATER RESOURCES RESEARCH, 2020, 56 (02)
  • [23] Water table depth affects productivity, water use, and the response to nitrogen addition in a savanna system
    Ford, Chelcy R.
    Mitchell, Robert J.
    Teskey, Robert O.
    CANADIAN JOURNAL OF FOREST RESEARCH, 2008, 38 (08) : 2118 - 2127
  • [24] Effects of irrigation system management turnover on water table depth and salinity of groundwater
    Gundogdu, Kemal Sulhi
    Aslan, S. Tulin Akkay
    JOURNAL OF ENVIRONMENTAL BIOLOGY, 2007, 28 (02): : 455 - 459
  • [25] Predicting Shallow Water Table Depth at Regional Scale: Optimizing Monitoring Network in Space and Time
    Barca, Emanuele
    Calzolari, Maria Costanza
    Passarella, Giuseppe
    Ungaro, Fabrizio
    WATER RESOURCES MANAGEMENT, 2013, 27 (15) : 5171 - 5190
  • [26] Predicting Shallow Water Table Depth at Regional Scale: Optimizing Monitoring Network in Space and Time
    Emanuele Barca
    Maria Costanza Calzolari
    Giuseppe Passarella
    Fabrizio Ungaro
    Water Resources Management, 2013, 27 : 5171 - 5190
  • [27] A review of catchment-scale water quality and erosion models and a synthesis of future prospects
    Fu, Baihua
    Merritt, Wendy S.
    Croke, Barry F. W.
    Weber, Tony R.
    Jakeman, Anthony J.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 114 : 75 - 97
  • [28] A comprehensive integrated catchment-scale monitoring and modelling approach for facilitating management of water quality
    Wang, X.
    Zhang, J.
    Babovic, V.
    Gin, K. Y. H.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 120
  • [29] Catchment-Scale Integrated Surface Water-Groundwater Hydrologic Modelling Using Conceptual and Physically Based Models: A Model Comparison Study
    Bizhanimanzar, Mohammad
    Leconte, Robert
    Nuth, Mathieu
    WATER, 2020, 12 (02)
  • [30] Modeling water table depth using adaptive Neuro-Fuzzy Inference System
    Das U.K.
    Roy P.
    Ghose D.K.
    ISH Journal of Hydraulic Engineering, 2019, 25 (03) : 291 - 297