Physical-based time series model applied on water table depths dynamics characteristics simulation

Manzione, Rodrigo Lilla

doi:10.1590/2318-0331.0318170071

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…It has been made through wells instrumented with automatic water level monitoring systems belonging to the National Groundwater Monitoring Network (RIMAS). The evaluation of water table uctuation is a data-based approach that enables the identi cation of the timing of recharge and its mechanisms, having signi cant consequences for the better management of water resources (Mangin, 1984;Maziero and Wendland, 2005;Manzione, 2018).…”

Section: Introductionmentioning

confidence: 99%

Unravelling recharge mechanisms along the Guarani aquifer system (SAG) outcrop in southern Brazil

Kuhn,

Reginato,

van Rooyen

et al. 2024

Environ Earth Sci

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Understanding recharge is an important step to quantify the sustainability of the groundwater reserve and promoting the adequate implementation of management policies. In southern Brazil, the Guarani Aquifer System (SAG) is increasingly utilised as a source of water for both rural/urban populations and agricultural activities. Being 90% con ned, the regional SAG outcrop zones are generally considered the recharge areas, yet local system recharge mechanics have still to be constrained. Water table time series data over a two-year period from 21 monitoring wells in the southern outcrop zone were interrogated to assess local recharge of the SAG. Recharge estimates calculated using the Water Table Fluctuation (WTF) method were compared to the time series data in terms of auto-and cross-correlation factors. In turn, alluding to the memory effect of the water table that is controlled by the ow pathways to the well and its response to local rainfall events. It is apparent that the local conditions strongly affect water percolating through the unsaturated zone, with evidence of both matrix and preferential ow pathways feeding the monitoring sites. Matrix ow is broadly occurring within the study area and preferential ow has a more restricted occurrence yet is associated with the highest rate of recharge. Although future studies may quantify actual recharge amount related to each mechanism, this work explicitly shows that preferential ow mechanisms should not be disregarded, providing insight into aquifer sustainability and its vulnerability to modern contaminants.

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Section: Introductionmentioning

confidence: 99%

Unravelling recharge mechanisms along the Guarani aquifer system (SAG) outcrop in southern Brazil

Kuhn,

Reginato,

van Rooyen

et al. 2024

Environ Earth Sci

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“…최근에는 다양한 모델링 기법들을 적용해 대수층의 수 리 특성값들을 획득하고자 하는 연구들이 이어지고 있다 (Jeong and Park, 2017;Jeong et al, 2019). 모델링 기법 을 이용한 대수층 특성 연구는 크게 물리적 프로세스 기 반(physical process-based) 분석과 자료 기반(data-driven) 분석으로 분류할 수 있다 (Felisa et al, 2015;Manzione, 2017 (Bierkens, 1998;Knotters and Bierkens, 2000;Rai et al, 2006;Park and Parker, 2008;Cuthbert, 2010;Jeong and Park, 2017;Jeong et al, 2019 (Adamowski and Chan, 2011;Nourani et al, 2015;Han et al, 2015 (Delbart et al, 2014;Neto et al, 2015;Jeong et al, 2017 (Joo et al, 2009;Coulibaly et al, 2001;Yoon et al, 2011;, Nourani et al, 2012;Jeong and Park, 2019 (Coppola et al, 2005;Almasri and Kaluarachchi, 2005;Nayak et al, 2006;Jeong and Park, 2019;Jeong et al, 2020)…”

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The Applicability of Conditional Generative Model Generating Groundwater Level Fluctuation Corresponding to Precipitation Pattern

Jeong

Lee

Song

2021

Econ. Environ. Geol.

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In this study, a method has been proposed to improve the performance of hydraulic property estimation model developed by Jeong et al. (2020). In their study, low-dimensional features of the annual groundwater level (GWL) fluctuation patterns extracted based on a Denoising autoencoder (DAE) was used to develop a regression model for predicting hydraulic properties of an aquifer. However, low-dimensional features of the DAE are highly dependent on the precipitation pattern even if the GWL is monitored at the same location, causing uncertainty in hydraulic property estimation of the regression model. To solve the above problem, a process for generating the GWL fluctuation pattern for conditioning the precipitation is proposed based on a conditional variational autoencoder (CVAE). The CVAE trains a statistical relationship between GWL fluctuation and precipitation pattern. The actual GWL and precipitation data monitored on a total of 71 monitoring stations over 10 years in South Korea was applied to validate the effect of using CVAE. As a result, the trained CVAE model reasonably generated GWL fluctuation pattern with the conditioning of various precipitation patterns for all the monitoring locations. Based on the trained CVAE model, the low-dimensional features of the GWL fluctuation pattern without interference of different precipitation patterns were extracted for all monitoring stations, and they were compared to the features extracted based on the DAE. Consequently, it can be confirmed that the statistical consistency of the features extracted using CVAE is improved compared to DAE. Thus, we conclude that the proposed method may be useful in extracting a more accurate feature of GWL fluctuation pattern affected solely by hydraulic characteristics of the aquifer, which would be followed by the improved performance of the previously developed regression model.

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“…O modelo Predefined Impulse Response Function In Continuous Time (PIRFICT) trabalha com tempo contínuo e tem as caraterísticas de resposta de sistemas de águas subterrâneas estimadas por funções de impulso e resposta. Estudos recentes sobre esta temática que utilizaram o modelo PIRFICT vêm sendo desenvolvidos, como Yihdego e Webb (2010), Lehsten, von Asmuth, e Michael Kleyer (2011), Yihdego e Webb (2011), Gunawardhana e Kazama (2012), Robson e Webb (2012), Nava e Manzione (2015), Hocking e Kelly (2016), Omran (2016), Manzione, Soldera e Wendland (2017) e Manzione (2018).…”

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Modeling phreatic levels in a rural watershed in Lontras, High Itajaí Valley, SC-Brazil

et al. 2020

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Esse estudo analisou o comportamento de níveis freáticos em uma bacia hidrográfica rural localizada no município de Lontras, Alto Vale do Itajaí, Santa Catarina, sul do Brasil. Os níveis freáticos são monitorados em 3 poços (PZMC localizado em floresta ciliar e PZ2127 e PZ3 em pastagem). A precipitação e as cotas fluviométricas também são monitoradas, sendo as cotas referentes a estação fluviométrica instalada próxima ao PZ2127. A série de evapotranspiração de referência diária foi calculada pelo método de Samani. O monitoramento foi realizado no período de 01 de janeiro de 2012 a 15 de julho de 2019, somando 7,5 anos de dados. Realizou-se uma análise exploratória e uma análise de tendências dos níveis freáticos. A simulação dos níveis freáticos foi desenvolvida com o modelo Predefined Impulse Response Function In Continuous Time (PIRFICT), para o período de 31 de dezembro de 2014 a 19 de janeiro de 2016. Verificou-se uma tendência significativa de decaimento dos níveis do PZMC e do PZ3, e uma tendência significativa de elevação dos níveis do PZ2127. O modelo PIRFICT possibilita um ajuste aceitável para os níveis freáticos. Os erros foram baixos e foi possível caracterizar a relação dinâmica de impulso resposta entre as variáveis explicativas e os níveis observados. As informações obtidas através do monitoramento e modelagem dos níveis freáticos mostram-se necessárias para o gerenciamento dos recursos hídricos locais, planejamento e tomada de decisão.

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Physical-based time series model applied on water table depths dynamics characteristics simulation

Cited by 5 publications

References 30 publications

Unravelling recharge mechanisms along the Guarani aquifer system (SAG) outcrop in southern Brazil

Unravelling recharge mechanisms along the Guarani aquifer system (SAG) outcrop in southern Brazil

The Applicability of Conditional Generative Model Generating Groundwater Level Fluctuation Corresponding to Precipitation Pattern

Modeling phreatic levels in a rural watershed in Lontras, High Itajaí Valley, SC-Brazil

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