Piezometric level and electrical conductivity spatiotemporal monitoring as an instrument to design further managed aquifer recharge strategies in a complex estuarial system under anthropogenic pressure

Coelho, Victor; Bertrand, Guillaume; Montenegro, Suzana Maria Gico Lima; Paiva, Anderson Luiz Ribeiro de; Almeida, Cristiano N.; Galvão, Carlos de Oliveira; Barbosa, Luís Romero; Batista, Larissa Ferreira David Romão; Ferreira, Eduardo

doi:10.1016/j.jenvman.2017.12.078

Cited by 15 publications

(4 citation statements)

References 43 publications

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“…For example, de Luna et al [77] has reported vertical displacements with a rate of approximately 0.68 mm/year based on the spirit leveling in Recife, northeast of Brazil, as a consequence of the excessive exploitation of groundwater. Recife lies over a multi-layered aquifer system and has experienced anthropogenic pressure on groundwater resources due to the intense water pumping to alleviate drought impacts, and there is a large number of illegal wells [78].…”

Section: Rms Of Twsmentioning

confidence: 99%

Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations

et al. 2019

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Few studies have used crustal displacements sensed by the Global Positioning System (GPS) to assess the terrestrial water storage (TWS), which causes loadings. Furthermore, no study has investigated the feasibility of using GPS to image TWS over South America (SA), which contains the world’s driest (Atacama Desert) and wettest (Amazon Basin) regions. This work presents a resolution analysis of an inversion of GPS data over SA. Firstly, synthetic experiments were used to verify the spatial resolutions of GPS-imaged TWS and examine the resolving accuracies of the inversion based on checkerboard tests and closed-loop simulations using “TWS” from the Noah-driven Global Land Data Assimilation System (GLDAS-Noah). Secondly, observed radial displacements were used to image daily TWS. The inverted results of TWS at a resolution of 300 km present negligible errors, as shown by synthetic experiments involving 397 GPS stations across SA. However, as a result of missing daily observations, the actual daily number of available stations varied from 60–353, and only 6% of the daily GPS-imaged TWS agree with GLDAS-Noah TWS, which indicates a root-mean-squared error (RMSE) of less than 100 kg/m 2 . Nevertheless, the inversion shows agreement that is better than 0.50 and 61.58 kg/m 2 in terms of the correlation coefficient (Pearson) and RMSE, respectively, albeit at each GPS site.

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Section: Rms Of Twsmentioning

confidence: 99%

Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations

et al. 2019

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“…In addition, monitoring the piezometric level is required to design recharge strategies for the aquifer [8], to prevent the levels from dropping, causing sinking and loss in the storage capacity of the aquifer, and to know the flow direction of groundwater and possible contamination risks [9].…”

Section: Introductionmentioning

confidence: 99%

Development of Low-Cost IoT System for Monitoring Piezometric Level and Temperature of Groundwater

Espinoza Ortiz,

Apún Molina,

Belmonte Jiménez

et al. 2023

Sensors

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Rural communities in Mexico and other countries with limited economic resources require a low-cost measurement system for the piezometric level and temperature of groundwater for their sustainable management, since anthropogenic action (pumping extractions), natural recharge and climate change phenomena affect the behavior of piezometric levels in the aquifer and its sustainability is at risk. Decrease in the piezometric level under a balanced level promotes salt intrusion from ocean water to the aquifer, salinizing and deteriorating the water quality for agriculture and other activities; and a decrease in water level under the pumps or well drilling depth could deprive communities of water. Water temperature monitoring is essential to determine electric conductivity and dissolved salt content in groundwater. Using IoT technology, a device was developed that monitors both variables inside the well, and the ambient temperature and atmospheric pressure outside the well. The measurements are made in real time, with sampling every second and sending data to a dedicated server every 15 min so that the visualization can be accessed through a device with Internet access. The time series of the variables measured inside and outside the well were obtained over a period of three months in the rural community of Agua Blanca, Guasave, Sinaloa, Mexico. Through these records, a progressive temporary drawdown of the piezometric level is observed, as well as the frequency of pumping. This low-cost IoT system shows potential use in hydrological processes of interest such as the separation of regional and local flow, drawdown rates and recognition of geohydrological parameters.

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“…The use of the time-series of SAR images is an important source of information for the detection, mapping and monitoring of ground subsidence, especially in the urban areas (e.g., Chen et al, 2012;Notti et al, 2016;Zhou et al, 2017;Budillon et al, 2018;Bedini, 2019;Crosetto et al, 2019). Several studies have considered the ground subsidence hazard in the city of Recife (e.g., Costa et al, 2005;Luna et al, 2017;Coelho et al, 2018). However, there have not been reported studies on the use of the radar interferometry for ground subsidence detection in the city of Recife.…”

Section: Introductionmentioning

confidence: 99%

Persistent Scatterer Interferometry of Sentinel-1 time series to detect ground subsidence in the city of Recife, Brazil

Bedini¹

2020

Jour. Hypers. Rem. Sensg.

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Persistent Scatterer Interferometry (PSI) analysis of Sentinel-1 time series was carried out to detect ground subsidence in the city of Recife, Brazil. The dataset consisted of sixty-eight Sentinel-1A Interferometric Wide (IW) Single Look Complex (SLC) images of the time period April 2017 – September 2019. The images were acquired in descending orbit in VV (vertical transmitting, vertical receiving) polarization. The results of the PSI analysis show that in the city of Recife occur several ground subsidence areas. The largest ground subsidence area occurs between the neighborhoods of Afogados, Torrŏes and Cordeiro. The subsidence rates in this area range from few mm/year up to -15 mm/year. This ground subsidence could be a result of groundwater extraction or of subsidence processes in urbanized reclaimed lands. Similar but smaller ground subsidence areas occur in several localities in Recife. In some cases, subsidence with rates of up to -25 mm/year is noted in small zones where new buildings have been constructed in the last decade. This should be due to ground settlement processes, taking a long time due to the particular soils and geology of the locality. This study can serve as a first contribution for further research on the ground subsidence hazard in the city of Recife and the surrounding areas by means of satellite radar imagery.

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Piezometric level and electrical conductivity spatiotemporal monitoring as an instrument to design further managed aquifer recharge strategies in a complex estuarial system under anthropogenic pressure

Cited by 15 publications

References 43 publications

Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations

Prospects for Imaging Terrestrial Water Storage in South America Using Daily GPS Observations

Development of Low-Cost IoT System for Monitoring Piezometric Level and Temperature of Groundwater

Persistent Scatterer Interferometry of Sentinel-1 time series to detect ground subsidence in the city of Recife, Brazil

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