Stable water isotopes as a tool for assessing groundwater infiltration in sewage networks in cold climate conditions

Heiderscheidt, Elisangela; Tesfamariam, Axumawit; Marttila, Hannu; Postila, Heini; Zilio, Stefano; Rossi, Pekka M.

doi:10.1016/j.jenvman.2021.114107

Cited by 13 publications

(3 citation statements)

References 24 publications

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“…The H atomic composition of O and 2 H to move away from the local meteoric line, indicating evaporation [27,32]. Stable isotope analysis has been carried out by many researchers around the world because of the use of isotopes in addition to knowing the origin of water, they can also filter groundwater in sewage and even nirate sources [33][34][35]. But in its application, the stable isotope method has drawbacks, namely that it only has two components, namely the interaction of water sources and dry weather conditions [34].…”

Section: Stable Isotopesmentioning

confidence: 99%

Analysis of Stable Isotopes 18O and 2H and Sodium Adsorption Ratio (SAR) for Groundwater Studies in Coastal Area in Semarang City, Central Java Province Indonesia

Putranto,

Susanto,

Pangestuti

2024

Pol. J. Environ. Stud.

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Water is the most important basic need for sustaining life, and groundwater remains the primary source of this need in the coastal area of Semarang City. This indicates that the recharge of the source must be monitored as an important part of water resource management. Therefore, this study aimed to determine the origin of groundwater through the analysis of stable isotopes 18 O and 2 H, as well as the calculation of the sodium adsorption ratio (SAR) in Semarang City. The purpose is to determine the origin of deep wells and the quality of water for irrigation. The methods used in this study included hydrogeological mapping, testing groundwater samples, and the analysis of stable isotopes 18 O and 2 H. Semarang City was located in an area with geological components, including the Alluvium and Damar Formation, as well as geological structures such as rectification. Chemical parameter testing was carried out by comparing the SAR aspect of 30 samples with their electrical conductivity (EC). From the analysis of stable isotopes 18 O and 2 H, most of the samples were obtained from deep groundwater, while 1 was found in shallow aquifers. Furthermore, the stable isotope composition of 29 samples still followed the Global Meteoric Water Line (GMWL), indicating that they were obtained from global rainwater and had experienced mixing.

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Section: Stable Isotopesmentioning

confidence: 99%

Analysis of Stable Isotopes 18O and 2H and Sodium Adsorption Ratio (SAR) for Groundwater Studies in Coastal Area in Semarang City, Central Java Province Indonesia

Putranto,

Susanto,

Pangestuti

2024

Pol. J. Environ. Stud.

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“…Since most urban sewer pipes are made of concrete or sometimes brick, the material itself allows water to permeate into the sewers (groundwater infiltration, e.g. Heiderscheidt et al 2022 ) or from the sewers to the surroundings (exfiltration, e.g. Wolf et al 2012 ).…”

Section: Sewers and Their Characteristicsmentioning

confidence: 99%

The role of the sewer system in estimating urban emissions of chemicals of emerging concern

Zillien

Posthuma

Roex

et al. 2022

Rev Environ Sci Biotechnol

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The use of chemicals by society has resulted in calls for more effective control of their emissions. Many of these chemicals are poorly characterized because of lacking data on their use, environmental fate and toxicity, as well as lacking detection techniques. These compounds are sometimes referred to as contaminants of emerging concern (CECs). Urban areas are an important source of CECs, where these are typically first collected in sewer systems and then discharged into the environment after being treated in a wastewater treatment plant. A combination of emission estimation techniques and environmental fate models can support the early identification and management of CEC-related environmental problems. However, scientific insight in the processes driving the fate of CECs in sewer systems is limited and scattered. Biotransformation, sorption and ion-trapping can decrease CEC loads, whereas enzymatic deconjugation of conjugated metabolites can increase CEC loads as metabolites are back-transformed into their parent respective compounds. These fate processes need to be considered when estimating CEC emissions. This literature review collates the fragmented knowledge and data on in-sewer fate of CECs to develop practical guidelines for water managers on how to deal with in-sewer fate of CECs and highlights future research needs. It was assessed to what extent empirical data is in-line with text-book knowledge and integrated sewer modelling approaches. Experimental half-lives (n = 277) of 96 organic CECs were collected from literature. The findings of this literature review can be used to support environmental modelling efforts and to optimize monitoring campaigns, including field studies in the context of wastewater-based epidemiology. Graphical abstract

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“…Mixed precipitation and infiltrated groundwater represent the leakage of water from precipitation and groundwater into aging sewer systems. The extraneous water is universal and can be significant in WWTPs even in dry weather. − Extraneous water decreases the purification efficiency and increases energy consumption, causing ecological burden and economic loss. , There are three main methods for quantifying the contribution of the different sewage sources: the isotope tracer method, the pollution load method, and the water balance method. − The first two methods are expensive and not practical as they require frequent monitoring. The third method is simplistic and focused only on the overall extraneous water of a single period. , Analytical and numerical models are also applied to estimate groundwater infiltration in sewer systems. , Overall, a simple method to quantify the temporal variation of different sewage sources is essential.…”

Section: Introductionmentioning

confidence: 99%

Predicting Regional Wastewater Treatment Plant Discharges Using Machine Learning and Population Migration Big Data

Tian

Jing

et al. 2023

ACS EST Water

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Quantifying the temporal variation of wastewater treatment plant (WWTP) discharges is essential for water pollution control and environment protection in metropolitan areas. This study develops an ensemble machine learning (ML) model to predict discharges from WWTPs and to quantify the contribution of extraneous water (mixed precipitation and infiltrated groundwater) by leveraging the power of ML and population migration big data. The approach is applied to predict the discharges at 265 WWTPs in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) in China. The major conclusions are as follows. First, the ensemble ML model provides an efficient and reliable way to predict WWTP discharges using data easily accessible to the public. The predicted treated sewage amount increased from 20.4 × 106 m3/day in 2015 to 24.5 × 106 m3/day in 2020. Second, the predictors, including daily precipitation, average precipitation of past proceeding days, daily temperature, and population migration, play different roles in predicting different city’s discharges. Finally, mixed precipitation and infiltrated groundwater account for, on average, 1.6 and 10.3% of total discharges from WWTPs in the GBA. This study represents the first attempt to bring population migration big data into data-driven environmental engineering modeling and can be easily extended to predict other environmental variables of concern.

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Stable water isotopes as a tool for assessing groundwater infiltration in sewage networks in cold climate conditions

Cited by 13 publications

References 24 publications

Analysis of Stable Isotopes <sup>18</sup>O and <sup>2</sup>H and Sodium Adsorption Ratio (SAR) for Groundwater Studies in Coastal Area in Semarang City, Central Java Province Indonesia

Analysis of Stable Isotopes <sup>18</sup>O and <sup>2</sup>H and Sodium Adsorption Ratio (SAR) for Groundwater Studies in Coastal Area in Semarang City, Central Java Province Indonesia

The role of the sewer system in estimating urban emissions of chemicals of emerging concern

Predicting Regional Wastewater Treatment Plant Discharges Using Machine Learning and Population Migration Big Data

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