Evidence map›Paper›PMID 38067737›Full record

ArticleSensors (Basel, Switzerland)2023

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

Mauro Espinoza Ortiz, Juan Pablo Apún Molina, Salvador Isidro Belmonte Jiménez, Jaime Herrera Barrientos, Héctor José Peinado Guevara, Apolinar Santamaria Miranda

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Mauro Espinoza OrtizPrograma de Doctorado en Red en Ciencias en Conservación del Patrimonio Paisajístico, CIIDIR Unidad Sinaloa, Instituto Politécnico Nacional, Guasave C.P. 81100, Sinaloa, Mexico.ORCID 0000-0001-9970-1736
Juan Pablo Apún MolinaCIIDIR Unidad Sinaloa, Instituto Politécnico Nacional, Guasave C.P. 81100, Sinaloa, Mexico.ORCID 0000-0001-9006-8882
Salvador Isidro Belmonte JiménezCIIDIR Unidad Oaxaca, Instituto Politécnico Nacional, Santa Cruz Xoxocotlán C.P. 71230, Oaxaca, Mexico.ORCID 0000-0001-7205-417X
Jaime Herrera BarrientosCentro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE), Ensenada C.P. 22860, Baja California, Mexico.ORCID 0000-0001-8077-9402
Héctor José Peinado GuevaraEscuela de Ciencias Económicas y Administrativas, Universidad Autónoma de Sinaloa, Guasave C.P. 81100, Sinaloa, Mexico.
Apolinar Santamaria MirandaCIIDIR Unidad Sinaloa, Instituto Politécnico Nacional, Guasave C.P. 81100, Sinaloa, Mexico.
Instituto Politécnico Nacional · MXCentro de Investigación Científica y de Educación Superior de Ensenada · MXUniversidad Autónoma de Sinaloa · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

aquiferpiezometric levelwell monitoringwireless sensors

Identifiers

PMID38067737
PMCPMC10708790
OpenAlexW4388939745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.