Abstract

Study regionUpper region of the Citarum basin in Indonesia. Study focusAssessing water balance components in data-scarce regions using different approaches could result in different outcomes. In the upper reaches of the Citarum River in West Java, Indonesia, for example, many previous studies found the groundwater storage to be depleting, while GRACE identifies a contrasting trend of increasing groundwater storage change. Therefore, in this study, we aim to improve the accuracy of water balance components estimates in the Upper Citarum basin. Firstly, we estimate groundwater abstraction volumes based on population size and a review of literature. Estimates of the other water balance components, namely the rainfall, actual evaporation, discharge, and groundwater storage change are derived from various global datasets and available measurements. We also use a distributed hydrological model, wflow_sbm, to yield additional estimates of discharge and actual evaporation. We compare each basin water balance estimate and quantify the uncertainty of some components using the Extended Triple Collocation (ETC) method. New hydrological insights for the regionETC application on four different rainfall estimates suggests a preference of using CHIRPS product in the study area as it delivers r2 of 0.56 and RMSE of 6.52 mm/day, compared to estimates from rainfall station (r2=0.39, RMSE = 8.57 mm/day), SACA&D (r2=0.29, RMSE = 10.46 mm/day), and TRMM (r2=0.56, RMSE = 8.61 mm/day). With CHIRPS rainfall forcing, wflow_sbm model estimates of average daily actual evaporation and discharge are obtained. The results for actual evaporation (2.67 mm/day) are plausible with a narrow difference of less than 0.50 mm/day among other estimates. The simulated discharge results in a daily average of 5.38 mm/day, estimated between observation data (3.65 mm/day) and GloFAS-ERA5 product (6.12 mm/day). Combining precipitation, actual evaporation, and discharge with a groundwater abstraction estimate of 0.57 mm/day, the wflow_sbm-based groundwater storage change is estimated at a daily storage depletion of 0.82 mm/day. Using GLEAM actual evaporation estimates (3.13 mm/day) and observed daily discharge, on the other hand, results in surplus water of 0.45 mm/day for groundwater storage change. These results demonstrate the high uncertainty in capturing subsurface hydrological processes, although the groundwater storage change estimates are found close to the estimates based upon GRACE gravimetric satellite data of 0.25 mm/day, with a variance of 1.57 mm/day. To aid in estimating current and future basin-scale groundwater level changes to support operational water management and policy in the Citarum basin, considering the massive groundwater abstraction, a focus on subsurface hydrological components quantification is of great importance for future research.

Highlights

  • Groundwater has been used for water supply purposes since prehistorical ages (Angelakis et al, 2016; Voudouris et al, 2018)

  • We improve the accuracy of the water balance components’ estimates and their uncertainty bounds in a highly groundwater-dependent and data-scarce region of the Upper Citarum basin between 2005 and 2018

  • The rainfall data are sourced from rainfall-station-based and satellite-based (TRMM and CHIRPS) measurements

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Summary

Introduction

Groundwater has been used for water supply purposes since prehistorical ages (Angelakis et al, 2016; Voudouris et al, 2018). Groundwater over-abstraction leads to dwindling groundwater tables and often to deteriorating water quality, and in many ways threats the security of water resources on a scale of the water cycle as a whole when the regulatory role of groundwater flow to other hydrological fluxes is considered (Chambel, 2015). Changes in groundwater recharge-discharge pattern affect surface water system (Earman and Dettinger, 2011), groundwater flow pattern (Petre et al, 2019), runoff generation process (Abe et al, 2020), and rate of evapotranspiration (Lurtz et al, 2020). More consequences unavoidably occur once more factors are involved, such as groundwater quality, anthropogenic influence (Zhu et al, 2019; Lin et al, 2020), climate change (Zhu et al, 2020), and land cover and land use (LULC) development (Lamichhane and Shakya, 2019; Shawul et al, 2019)

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