Internet of Things (IoT) for double ring infiltrometer automation

Abdelmoneim, Ahmed A.; Daccache, André; Khadra, Roula; Bhanot, Mayank; Dragonetti, Giovanna

doi:10.1016/j.compag.2021.106324

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…However, following Horton's theory, another measure of the infiltration rate for soil design has been developed that uses an instrument called a double-ring infiltrometer (Abdelmoneim et al, 2021;Bodhinayake et al, 2004;Raju & Hussain, 2019), which is discussed in the next section.…”

Section: Infiltration and Double-ring Infiltration Technique Infiltra...mentioning

confidence: 99%

The Determination of Soil Infiltration Rate of Urban Bioretention Design Process in Chiang Mai, Thailand

Sittisom

Tangsongsuwan²,

Munlikawong

et al. 2022

NJEDP

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Stormwater runoff is an issue that is increasingly affecting urban areas because areas that previously were permeable have been developed, and are now impermeable, comprising hard surface areas, whether concrete floors, roads, or buildings. As the size of the problem area increases, the amount of stormwater runoff that needs to be cleared from urban areas increases, and it takes longer for the stormwater to be cleared. The existing basic public drainage systems can no longer sufficiently support the increasing stormwater runoff, directly affecting commuting and lifestyle. These problems have led to the design concept of bioretention, which can be used to increase the efficiency of water infiltration of existing soil areas since a higher water infiltration rate can help relieve the burden on the basic public drainage system and alleviate the abovementioned problems. Bioretention design consists of three layers: the drainage layer at the bottom, the transition layer, and the filter media layer at the top. The critical objective is to design the filter media layer (the top layer) to have a greater infiltration rate than the original soil. This research, therefore, comprises an experiment in which sand is mixed with the original soil to achieve these increased infiltration rates. Three different soil-to-sand ratios were field tested within the area of the Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand with double-ring infiltrometer technique to test the infiltration rate, 1:1, 1:2, and 1:4. This research also applied Horton's Theory of Perforation Prediction Equations; the experiments demonstrated that adding sand can increase the water infiltration rate. The infiltration rates for soil-to-sand ratios of 1:1, 1:2, and 1:3 are 16.09, 21.53, and 28.90 mm/hr., consecutively. In addition, understanding the relationship between infiltration rate and sand ratio makes it possible to determine the permeation rate as required. Furthermore, knowing the sand ratio is useful for future planning to achieve the appropriate design.

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Section: Infiltration and Double-ring Infiltration Technique Infiltra...mentioning

confidence: 99%

The Determination of Soil Infiltration Rate of Urban Bioretention Design Process in Chiang Mai, Thailand

Sittisom

Tangsongsuwan²,

Munlikawong

et al. 2022

NJEDP

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“…Dan untuk aplikasi yang digunakan untuk mendesain double ring ini digunakan perangkat lunak inventor. Desain ini memiliki acuan atau referensi dari jurnal [5].…”

Section: Perancangan Alatunclassified

Rancang Bangun Double Ring Infiltrometer Untuk Pengukuran Pengaruh Penambahan Ketinggian Pasir

Daffa¹,

Ali²

2022

permadi

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Double ring infiltrometer is a tool to measure the rate of infiltration into the soil. The design of the double ring infiltrometer has 3 stages, the first using 304 stainless steel material, the next stage is the rolling process using a rolling machine 6 × 1300 mm BB613RL, and the last stage is the welding process using TIG welding. The effect of adding sand on changes in the infiltration rate that occurs in the two rings, in this change the slowing of the infiltration rate does occur because the sand blocks the infiltration of water directly into the soil. However, the slowdown in the infiltration rate that occurs tends to be very small so that it can be said that it has no significant effect on the infiltration rate without sand. The results of the measurements showed that the initial and constant infiltration rates slowed down with a change in the average infiltration rate that occurred, namely 0.005 mm/s at the initial infiltration rate and 0.002 mm/s at a constant infiltration rate. Thus it can be concluded that the addition of sand as a ground cover does not have much impact on the rate of water infiltration into the soil, especially in the direction of water infiltration perpendicular to the soil. So that this sand can be said to be a safe material to use as a ground cover compared to concrete, castings, or asphalt.

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“…One of the main obstacles that hinders such efforts is the lack of cost effective and reliable data monitoring systems. Putting into consideration the spatially variable nature of agricultural systems, the availability of low-cost energy autonomous data collection means is crucial; spatial features mapping being an essential step towards more precise planning (scheduling), monitoring, and evaluation of irrigation events [ 3 ]. In fact, a combination of monitoring and modelling techniques is needed to both understand spatial variability impacts and assess the accuracy of the models [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT) for Soil Moisture Tensiometer Automation

et al. 2023

Self Cite

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Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many devices is a tedious task hindering the full exploitation of soil moisture tensiometers. This research develops and lab validates a low cost IoT soil moisture tensiometer. The IoT-prototype is capable of measuring tension up to −80 Kpa with R2 = 0.99 as compared to the same tensiometer equipped with a mechanical manometer. It uses an ESP32 MCU, BMP180 barometric sensor and an SD card module to upload the measured points to a cloud service platform and establishes an online soil water potential curve. Moreover, it stores the reading on a micro-SD card as txt file. Being relatively cheap (76 USD) the prototype allows for more extensive measurements and, thus, for several potential applications such as soil water matric potential mapping, precision irrigation, and smart irrigation scheduling. In terms of energy, the prototype is totally autonomous, using a 2400 mAh Li-ion battery and a solar panel for charging, knowing that it uses deep sleep feature and sends three data points to the cloud each 6 h.

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Internet of Things (IoT) for double ring infiltrometer automation

Cited by 13 publications

References 18 publications

The Determination of Soil Infiltration Rate of Urban Bioretention Design Process in Chiang Mai, Thailand

The Determination of Soil Infiltration Rate of Urban Bioretention Design Process in Chiang Mai, Thailand

Rancang Bangun Double Ring Infiltrometer Untuk Pengukuran Pengaruh Penambahan Ketinggian Pasir

Internet of Things (IoT) for Soil Moisture Tensiometer Automation

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