Influence of aquifer heterogeneity on sea level rise-induced seawater intrusion: A probabilistic approach

Ketabchi, Hamed; Jahangir, Mohammad Sina

doi:10.1016/j.jconhyd.2020.103753

Cited by 12 publications

(4 citation statements)

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“…About 40% population of the world live within 100 km in coastal zones [1], and freshwater stored in coastal aquifers has become a vital resource for sustaining the economy of coastal communities around the world [2]. However, with the increase in water demands, groundwater pollution caused by seawater intrusion [3][4][5][6][7], waste disposal of urban residents, and industrial and agricultural production [8][9][10] have caused severe threats to freshwater resource. Seawater intrusion is widely regarded as a common environmental problem affecting groundwater in coastal areas [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Elucidating the Pollution Sources and Groundwater Evolution in Typical Seawater Intrusion Areas Using Hydrochemical and Environmental Stable Isotope Technique: A Case Study for Shandong Province, China

et al. 2021

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Seawater intrusion has a serious impact on industry, agriculture, and people’s daily life. Thus, the present study was designed to elucidate the pollution sources and groundwater evolution in typical intrusion areas of Shandong Province by hydrochemistry and environmental isotope techniques. The water samples were collected to analyze the groundwater evolution under different intrusion, and groundwater evolution in the south of Laizhou Bay from 2005 to 2019. The findings indicated that the groundwater level dropping funnel caused by overexploitation was the direct causation of seawater intrusion in the three typical intruded areas. The groundwater evolution paths demonstrated that the groundwater in the south of Laizhou Bay had the fastest evolution rate and the highest degree of evolution, followed by the Dagu River Basin. The groundwater evolution extent and fitting of mixing lines indicated that the groundwater in the south of Laizhou Bay, Longkou, and Dagu River Basin was dominated by palaeosaltwater intrusion, modern seawater intrusion, and sea-saltwater mixed intrusion, respectively. Palaeosaltwater mixing produces a more severe salinization effect compared to seawater mixing. Meanwhile, the isotopes are gradually enriched with the deepening of intrusion, while the decrease of isotopes is delayed compared with the saltwater retreat. This is caused by that the stable isotopes enriched in the aquiclude due to the chemical permeation effect will be released into the aquifer after the salinity attenuates in the aquifer. The palaeosaltwater intrusion caused by anthropogenic activities has promoted serious fluorine pollution in the south of Laizhou Bay, while the groundwater nitrate pollution in Longkou was the most serious, followed by the Dagu River Basin due to high-density agricultural and domestic activity.

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Section: Introductionmentioning

confidence: 99%

Elucidating the Pollution Sources and Groundwater Evolution in Typical Seawater Intrusion Areas Using Hydrochemical and Environmental Stable Isotope Technique: A Case Study for Shandong Province, China

et al. 2021

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“…In Eq 4, 5, ϕρ f c f + (1 − ϕ)ρ s c s and ϕλ f + (1 − ϕ)λ s represent the bulk heat capacity and bulk thermal conductivity of the saturated soil, respectively. A log-normal permeability field was chosen to mimic geological heterogeneity, as widely adopted previously (e.g., Freeze, 1975;Abarca et al, 2007;Geng et al, 2020b;Ketabchi and Jahangir, 2021). The random permeability field is generated using Hydro_gen (Bellin and Rubin, 1996).…”

Section: Conceptual Model and Simulationsmentioning

confidence: 99%

“…The study demonstrated that salt dispersion and averaged permeability are predominant factors for the extent of seawater intrusion. Geological heterogeneity leads to increased salt dispersion around salt fronts and thus weakens density gradients, which causes the FSI to retreat seaward (Mahmoodzadeh and Karamouz, 2019;Ketabchi and Jahangir, 2021). Pool et al (2015) examined the combined effects of heterogeneity and tides on the FSI and found that random heterogeneity enhanced the tide-induced salt mixing and spreading.…”

Section: Introductionmentioning

confidence: 99%

Thermal effects on flow and salinity distributions in heterogeneous coastal aquifers with fixed-flux inland boundaries

Xin

2022

Front. Environ. Sci.

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Freshwater-seawater (FW-SW) temperature contrasts widely exist in natural coastal aquifers. The significant effects of thermal forcing on water flow and salinity distributions for homogeneous aquifers have been demonstrated recently, however, the impact on heterogeneous aquifers remains unclear. This study conducted simulations of variable-density flow, and heat and salt transport with Monte-Carlo realizations of log-normally distributed permeability fields to examine such impacts. The averaged results showed that warmer freshwater could lead to a significant landward intrusion of freshwater-seawater interface in the heterogeneous aquifer. The random permeability fields increased the thermal effects of warmer freshwater and thus facilitated landward seawater intrusion. Furthermore, under warmer seawater conditions, salt dispersion was enhanced and density effects were reduced in heterogeneous coastal aquifers, thus altering the two opposing seawater circulation cells induced by double diffusion of salt and heat. The clockwise seawater circulation was strengthened whereas the anticlockwise one was weakened. Sensitivity analyses showed that an increased variance of permeability field further inhibited the anticlockwise seawater circulation cell caused mainly by heat diffusion. A larger correlation length of permeability field facilitated the thermal effect on the salinity distribution, increasing the associated uncertainty range caused by FW-SW temperature contrasts.

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“…Precipitation forecasting is used in this study to explore temporal hierarchical reconciliation, as precipitation is one of the most important variables in water resources systems. Thus, any advancement in the capability to accurately forecast precipitation may also result in improved: hydrological models (Goodarzi et al., 2019; Kobold & Sušelj, 2005; J. Li et al., 2019; Yao et al., 2019), climate change scenario analysis, coastal risk management (Ketabchi & Jahangir, 2019, 2021) reservoir and water supply management, flood risk evaluation, hydro‐power generation forecasting, agricultural planning, and so on (Choubin et al., 2018; Field et al., 2014; Gouda et al., 2020). Of note, each of the previously mentioned applications requires accurate precipitation forecasts across different timescales.…”

Section: Introductionmentioning

confidence: 99%

Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting

Jahangir

Quilty

2022

Water Resources Research

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Accurate forecasts of key water resources variables (e.g., precipitation, streamflow, evaporation) across multiple timescales (e.g., daily, monthly, yearly) are integral for the successful planning, management, and operation of water resources systems (van Den Hurk et al., 2016). However, in water resources, it is often the case that different models are applied for forecasting different timescales of a particular variable (Peters-Lidard et al., 2019), without ensuring that the forecasts are consistent across timescales (e.g., that monthly forecasts aggregate to seasonal or yearly forecasts), providing decision-makers with disparate information that may lead to sub-optimal planning, management, and operation of water resources systems. Further, "Bottom-Up" (BU) forecasts, which aggregate finer scale forecasts to a coarser scale (see, e.g., E. Wang et al., 2011), miss an opportunity to exploit low-and high-frequency characteristics of the data that may prove helpful in improving forecast quality (Spiliotis et al., 2020). To overcome these significant issues, that have been mostly ignored in the water resources forecasting literature, this paper explores the use of temporal hierarchical reconciliation (Athanasopoulos et al., 2017), a development in the time-series forecasting community, for generating consistent forecasts of water resources variables across multiple timescales. Briefly, temporal hierarchical reconciliation is a statistical procedure used to ensure that forecasts produced from different models, each at a specific timescale, are consistent with the forecasts at all other timescales (see Section 2 for more details). The approach explored here applies to any variable that can be aggregated across timescales (e.g., precipitation, evaporation, streamflow volumes) and thus, should prove useful in numerous water resources applications (reservoir operation, irrigation scheduling, water supply, etc.).Since temporal hierarchical reconciliation has yet to be explored within the water resources domain, a brief explanation is given on the differences between two common reconciliation methods and two broader approaches, more commonly adopted in the hydrology and water resources domains, when working with time-series at multiple

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Influence of aquifer heterogeneity on sea level rise-induced seawater intrusion: A probabilistic approach

Cited by 12 publications

References 63 publications

Elucidating the Pollution Sources and Groundwater Evolution in Typical Seawater Intrusion Areas Using Hydrochemical and Environmental Stable Isotope Technique: A Case Study for Shandong Province, China

Elucidating the Pollution Sources and Groundwater Evolution in Typical Seawater Intrusion Areas Using Hydrochemical and Environmental Stable Isotope Technique: A Case Study for Shandong Province, China

Thermal effects on flow and salinity distributions in heterogeneous coastal aquifers with fixed-flux inland boundaries

Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting

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