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Deepening the Quantitative Understanding of Groundwater Systems in Data-Scarce Areas : Application in the Bandung Groundwater Basin, Indonesia /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deepening the Quantitative Understanding of Groundwater Systems in Data-Scarce Areas : Application in the Bandung Groundwater Basin, Indonesia // Steven Reinaldo Rusli.
Author:	Rusli, Steven Reinaldo,
Description:	1 electronic resource (219 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
Contained By:	Dissertations Abstracts International85-12A.
Subject:	Saline water. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31134911
ISBN:	9798383015483

Deepening the Quantitative Understanding of Groundwater Systems in Data-Scarce Areas : Application in the Bandung Groundwater Basin, Indonesia /
Rusli, Steven Reinaldo,

Deepening the Quantitative Understanding of Groundwater Systems in Data-Scarce Areas : Application in the Bandung Groundwater Basin, Indonesia /Steven Reinaldo Rusli. - 1 electronic resource (219 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

Groundwater serves 95% of the total non-frozen freshwater in, on, and above the earth. With the increasing water demand due to population growth, abstracting groundwater is an unavoidable need for society. Understanding the groundwater system's response in flow, head, table, and storage to anthropogenic activities is, therefore, crucial for developing sustainable groundwater management, policies, and strategies.In recent decades, groundwater flow modeling has been a major contributor to advancing the understanding of groundwater resources. However, many obstacles persist in developing and implementing groundwater flow modeling; data scarcity being one among many. Due to this issue, maximizing the groundwater flow model's capability to unravel subsurface processes and mechanisms in data-scarce areas remains challenging to this day.The situation is also particularly applicable to the Bandung groundwater basin, Indonesia. Only a few groundwater-related research were conducted in the area. Several factors, primarily data availability, have hindered further progress in understanding the groundwater system. As a result, the quantification of groundwater-related variables in this area lacks the depth found in data-sufficient areas. For that reason, the main aim of this study is to deepen the quantitative understanding of the groundwater system in the Bandung groundwater basin, Indonesia. In achieving the primary goal, four topics are covered: (1) estimating water balance components, (2) developing a one-way coupled hydrological and groundwater flow model, (3) model evaluation using (ancillary) environmental water tracers data, and (4) projecting future groundwater availability.This thesis begins with an introduction in Chapter 1, briefly describing groundwater in general, and laying out the basic idea and principles of groundwater flow modeling. It is also complemented by other fundamental materials, such as aquifers, groundwater abstraction, and the link between hydrological and groundwater flow simulation. All the academic journal articles resulting from this thesis share a common study area of the Bandung groundwater basin. Thus, most of the essential details of the study area are elaborated in Chapter 2. These include location overview, hydrological and hydrogeological settings, anthropogenic footprint, and data availability, including those collected during the field campaign conducted in 2020.Chapter 3 explores the estimation of the Bandung groundwater basin's water balance and investigates the associated uncertainty bounds. Using a series of estimates for each water balance component, it is aimed that the definitive conclusion on the basin's current water storage change status could be derived. Multiple water balance components' estimates are collated from ground measurements, interpolated gauge-based datasets, and remote- sensing products, to hydrological model-based estimates. Further, their uncertainties are quantified by applying the Extended Triple Collocation technique. The analysis leads to the conclusion that the integration of a dedicated groundwater flow model is imperative for mitigating the uncertainty surrounding the estimates of water balance components, particularly when conducting assessments of basin water storage changes.In Chapter 4, a one-way coupled hydrological and groundwater flow model is constructed and calibrated. The hydrological model is based on the Wflow sbm model, following up the model-based estimates discussed in Chapter 3. In the model setup, we incorporate one additional parameter, MaxLeakage, to estimate groundwater recharge. Using information obtained from field campaigns and collaborations with several government and private sectors, a parsimonious groundwater flow model is developed using the MODFLOW model. The simulation output is evaluated by comparing a number of variables: (1) the river discharge simulated by the hydrological model with discharge observation data, (2) the groundwater head simulated by the groundwater flow model with observed groundwater head, and (3) the basin's water storage changes simulated by the one-way coupled model with gravimetric satellite estimates of GRACE. All designated evaluations produce satis- factory metrics: KGE (Kling-Gupta Efficiency) of 0.46, r² (coefficient of determination) of 0.895, and cross-correlation coefficient of 0.502, to name a few. It is concluded in this chapter that gravimetric satellite data of GRACE could be used as a supplementary model evaluation tool, even in basin-scale models. Having said that, the local features of the basin and the GRACE's footprint due to the potential spatial coverage differences are of substantial importance to be considered.

English

ISBN: 9798383015483Subjects--Topical Terms:

3683775
Saline water.

Deepening the Quantitative Understanding of Groundwater Systems in Data-Scarce Areas : Application in the Bandung Groundwater Basin, Indonesia /
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520 $a Groundwater serves 95% of the total non-frozen freshwater in, on, and above the earth. With the increasing water demand due to population growth, abstracting groundwater is an unavoidable need for society. Understanding the groundwater system's response in flow, head, table, and storage to anthropogenic activities is, therefore, crucial for developing sustainable groundwater management, policies, and strategies.In recent decades, groundwater flow modeling has been a major contributor to advancing the understanding of groundwater resources. However, many obstacles persist in developing and implementing groundwater flow modeling; data scarcity being one among many. Due to this issue, maximizing the groundwater flow model's capability to unravel subsurface processes and mechanisms in data-scarce areas remains challenging to this day.The situation is also particularly applicable to the Bandung groundwater basin, Indonesia. Only a few groundwater-related research were conducted in the area. Several factors, primarily data availability, have hindered further progress in understanding the groundwater system. As a result, the quantification of groundwater-related variables in this area lacks the depth found in data-sufficient areas. For that reason, the main aim of this study is to deepen the quantitative understanding of the groundwater system in the Bandung groundwater basin, Indonesia. In achieving the primary goal, four topics are covered: (1) estimating water balance components, (2) developing a one-way coupled hydrological and groundwater flow model, (3) model evaluation using (ancillary) environmental water tracers data, and (4) projecting future groundwater availability.This thesis begins with an introduction in Chapter 1, briefly describing groundwater in general, and laying out the basic idea and principles of groundwater flow modeling. It is also complemented by other fundamental materials, such as aquifers, groundwater abstraction, and the link between hydrological and groundwater flow simulation. All the academic journal articles resulting from this thesis share a common study area of the Bandung groundwater basin. Thus, most of the essential details of the study area are elaborated in Chapter 2. These include location overview, hydrological and hydrogeological settings, anthropogenic footprint, and data availability, including those collected during the field campaign conducted in 2020.Chapter 3 explores the estimation of the Bandung groundwater basin's water balance and investigates the associated uncertainty bounds. Using a series of estimates for each water balance component, it is aimed that the definitive conclusion on the basin's current water storage change status could be derived. Multiple water balance components' estimates are collated from ground measurements, interpolated gauge-based datasets, and remote- sensing products, to hydrological model-based estimates. Further, their uncertainties are quantified by applying the Extended Triple Collocation technique. The analysis leads to the conclusion that the integration of a dedicated groundwater flow model is imperative for mitigating the uncertainty surrounding the estimates of water balance components, particularly when conducting assessments of basin water storage changes.In Chapter 4, a one-way coupled hydrological and groundwater flow model is constructed and calibrated. The hydrological model is based on the Wflow sbm model, following up the model-based estimates discussed in Chapter 3. In the model setup, we incorporate one additional parameter, MaxLeakage, to estimate groundwater recharge. Using information obtained from field campaigns and collaborations with several government and private sectors, a parsimonious groundwater flow model is developed using the MODFLOW model. The simulation output is evaluated by comparing a number of variables: (1) the river discharge simulated by the hydrological model with discharge observation data, (2) the groundwater head simulated by the groundwater flow model with observed groundwater head, and (3) the basin's water storage changes simulated by the one-way coupled model with gravimetric satellite estimates of GRACE. All designated evaluations produce satis- factory metrics: KGE (Kling-Gupta Efficiency) of 0.46, r² (coefficient of determination) of 0.895, and cross-correlation coefficient of 0.502, to name a few. It is concluded in this chapter that gravimetric satellite data of GRACE could be used as a supplementary model evaluation tool, even in basin-scale models. Having said that, the local features of the basin and the GRACE's footprint due to the potential spatial coverage differences are of substantial importance to be considered.
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