Independent component analysis for characterization and quantification of regional groundwater pumping

Liu, Hung-Jen; Yeh, William W.‐G.

doi:10.1016/j.jhydrol.2015.05.013

Cited by 16 publications

(5 citation statements)

References 20 publications

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“…Recently, this input data uncertainty has been addressed using inverse groundwater modeling approaches that update the usage per model grid cell and time step from the difference between the observed and modeled groundwater head (Martínez‐Santos and Martínez‐Alfaro ; Shao et al ). A more advanced approach identified usage behavior from signal processing of hourly groundwater hydrographs and then incorporated this into a groundwater model to estimate usage (Liu et al ). To our knowledge, all such numerical methods rely on the prior estimation of both aquifer hydraulic properties and recharge, and do not allow for the joint estimation of usage, aquifer properties, and recharge.…”

Section: Introductionmentioning

confidence: 99%

“…Estimating a realistic groundwater extraction history from incomplete and infrequent measurement records has been an ongoing challenge, and one critical for quantifying the impact of extractions on groundwater dynamics and the environment. Liu et al () outlined four methods to estimate groundwater usage: (1) pump electricity consumption analysis, (2) water budget method, (3) groundwater hydrograph analysis, and (4) numerical model simulations. Recently, a fifth method was proposed that used time‐invariant site attributes and generalized linear models to predict the distribution of mean usage at the property and well scale (Keir et al ).…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we estimate usage by calibrating a simulated groundwater hydrograph to optimally fit an observed hydrograph. The approach overcomes the difficulty with hydrograph‐based methods requiring estimates of recharge (Liu et al ) and overcomes the weakness of numerical models not providing well‐specific usage (Liu et al ) and does not require prior model calibration of aquifer properties and recharge. Hence, our approach merges usage estimate types three and four.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Estimation of Gross Recharge, Groundwater Usage, and Hydraulic Properties within HydroSight

Peterson

Fulton

2019

Groundwater

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Groundwater management decisions are often founded upon estimates of aquifer hydraulic properties, recharge and the rate of groundwater usage. Too often hydraulic properties are unavailable, recharge estimates are very uncertain, and usage is unmetered or infrequently metered over only recent years or estimated using numerical groundwater models decoupled from the drivers of drawdown. This paper extends the HydroSight groundwater time‐series package ( http://peterson-tim-j.github.io/HydroSight/) to allow the joint estimation of gross recharge, transmissivity, storativity, and daily usage at multiple production bores. A genetic evolutionary scheme was extended from estimating time‐series model parameters to also estimating time series of usage that honor metered volumes at each production bore and produces (1) the best fit with the observed hydrograph and (2) plausible estimates of actual evapotranspiration and hence recharge. The reliability of the approach was rigorously tested. Repeated calibration of models for four bores produced estimates of transmissivity, storativity, and mean recharge that varied by a factor of 0.22‐0.32, 0.13‐0.2, and 0.03‐0.48, respectively, when recharge boundary effects were low and the error in monthly, quarterly, and biannual metered usage was generally <10%. Application to the 30 observation bores within the Warrion groundwater management area (Australia), produced a coefficient of efficiency of ≥0.80 at 22 bores and ≥0.90 at 12 bores. The aquifer transmissivity and storativity were reasonably estimated, and were consistent with independent estimates, while mean gross recharge may be slightly overestimated. Overall, the approach allows greater insights from the available data and provides opportunity for the exploration of usage and climatic scenarios.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint Estimation of Gross Recharge, Groundwater Usage, and Hydraulic Properties within HydroSight

Peterson

Fulton

2019

Groundwater

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“…Liu and Hsu [27] used independent component analysis to identify the local pumping and recharging source. Liu et al [28] used independent component analysis to identify the main pumping type characteristics and estimate the pumping type quantities with a calibrated groundwater simulation model. To enhance the identified accuracy of multiple parameters, this study modifies an iterative quasi-Newton algorithm using a vectorized switchable step size to simultaneously identify hydrogeological parameters and spatiotemporal patterns of pumpage and recharge in a multi-layered groundwater system.…”

Section: Introductionmentioning

confidence: 99%

Symmetrical Rank-Three Vectorized Loading Scores Quasi-Newton for Identification of Hydrogeological Parameters and Spatiotemporal Recharges

Huang

Hsu

You

et al. 2020

Water

Self Cite

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In a multi-layered groundwater model, achieving accurate spatiotemporal identification and solving the ill-posed problem is the vital topic for model calibration. This study proposes a symmetry rank three vectorized loading scores (SR3 VLS) quasi-Newton algorithm by modifying the Levenberg–Marquardt algorithm and importing a rank three structure from Broyden–Fletcher–Goldfarb–Shanno algorithm for identification of hydrogeological parameters and spatiotemporal recharge simultaneously. To accelerate directional convergence and approach a global optimum, this study uses a vectorized limited switchable step size in the transmissive groundwater inverse problem. The Hessian approximation rank three uses high and low-rank factor loading scores analyzed from simulated storage fluctuation between adjacent iterations for calculation and matrix correction. Two numerical experiments were designed to validate the proposing algorithm, showing the SR3 VLS quasi-Newton reduced the error percentages of the identified parameters by 1.63% and 9.65% compared to the Jacobian quasi-Newton. The proposing method is applied to the Chou-Shui River alluvial fan groundwater system in Taiwan. Results show that the simulated storage error decreased rapidly in six iterations, and has good head convergence as small as 0.11% with a root-mean-square-error (RMSE) of 0.134 m, indicating that the proposing algorithm reduces the computational cost to converge to the true solution.

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“…Hunink et al (2015) used remote sensing to estimate vegetation water demand linked to groundwater pumping. Liu et al (2015) estimated groundwater pumping by combining signal analysis and modelling of the water-table fluctuation. Some other authors combined remote sensing to compute crops' water demand and water balance approaches, like Zhu et al (2009) on the Hai basin in China.…”

Section: Introductionmentioning

confidence: 99%

Considering groundwater use to improve the assessment of groundwater pumping for irrigation in North Africa

Massuel¹,

Amichi

Ameur

et al. 2017

Hydrogeol J

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Groundwater resources in semi-arid areas and especially in the Mediterranean face a growing demand for irrigated agriculture and, to a lesser extent, for domestic uses. Consequently, groundwater reserves are affected and water-table drops are widely observed. This leads to strong constraints on groundwater access for farmers, while managers worry about the future evolution of the water resources. A common problem for building proper groundwater management plans is the difficulty in assessing individual groundwater withdrawals at regional scale. Predicting future trends of these groundwater withdrawals is even more challenging. The basic question is how to assess the water budget variables and their evolution when they are deeply linked to human activities, themselves driven by countless factors (access to natural resources, public policies, market, etc.). This study provides some possible answers by focusing on the assessment of groundwater withdrawals for irrigated agriculture at three sites in North Africa (Morocco, Tunisia and Algeria). Efforts were made to understand the different features that influence irrigation practices, and an adaptive user-oriented methodology was used to monitor groundwater withdrawals. For each site, different key factors affecting the regional groundwater abstraction and its past evolution were identified by involving farmers' knowledge. Factors such as farmer access to land and groundwater or development of public infrastructures (electrical distribution network) are crucial to decode the results of well inventories and assess the regional groundwater abstraction and its future trend. This leads one to look with caution at the number of wells cited in the literature, which could be oversimplified. (Résumé d'auteur

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Independent component analysis for characterization and quantification of regional groundwater pumping

Cited by 16 publications

References 20 publications

Joint Estimation of Gross Recharge, Groundwater Usage, and Hydraulic Properties within HydroSight

Joint Estimation of Gross Recharge, Groundwater Usage, and Hydraulic Properties within HydroSight

Symmetrical Rank-Three Vectorized Loading Scores Quasi-Newton for Identification of Hydrogeological Parameters and Spatiotemporal Recharges

Considering groundwater use to improve the assessment of groundwater pumping for irrigation in North Africa

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