Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Water  /  Vol: 10 Par: 12 (2018)  /  Artículo
ARTÍCULO
TITULO

Automated Laboratory Infiltrometer to Estimate Saturated Hydraulic Conductivity Using an Arduino Microcontroller Board

Pedro Rodríguez-Juárez    
Hugo E. Júnez-Ferreira    
Julián González Trinidad    
Manuel Zavala    
Susana Burnes-Rudecino and Carlos Bautista-Capetillo    

Resumen

This paper describes the design, calibration and testing processes of a new device named Automated Laboratory Infiltrometer (ALI). It allows to determinate in laboratory, under controlled conditions the saturated hydraulic conductivity (Ks) of altered or unaltered soil samples which is a key parameter to understand the movement of water through a porous medium. The ALI combines the advantages of three different approaches: measures vertical infiltration rates in a soil column, measures the actual volumes of vertically drained water through the soil column, and finally, uses heat as a natural tracer to determinate water flux rates through the porous medium; all those parameters are used to determinate Ks. The ALI was developed using the popular Arduino microcontroller board and commercially available sensors that give the whole system a low cost. Data from the ALI are recorded in a microSD memory so they can be easily read from any spreadsheet software helping to reduce time consuming and avoiding reading errors. The performance of this device was evaluated by comparing the water flow rates determined by the three approaches for which is designed; an excellent correlation among them was observed (worst correlation: R2 = 0.9826 and r-RSME = 0.94%).

 Artículos similares

       
 
Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar    
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana... ver más
Revista: Algorithms

 
Xiaoting Xu, Tin Lai, Sayka Jahan, Farnaz Farid and Abubakar Bello    
The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with labour-intensi... ver más
Revista: Future Internet

 
Joseph J. Bango, Sophia A. Agostinelli, Makayla Maroney, Michael Dziekan, Ruba Deeb and Gazi Duman    
The COVID-19 pandemic has highlighted the need for improved airborne infectious disease monitoring capability. A key challenge is to develop a technology that captures pathogens for identification from ambient air. While pathogenic species vary significa... ver más
Revista: Applied Sciences

 
Chengyi Zhang and David Arditi    
Effective progress control is vital for steering infrastructure construction to completion with minimum delay. Walking through the infrastructure project site to record progress in different activities is time-consuming, requiring information extracted f... ver más
Revista: Infrastructures

 
Marco Nardello,Shengnan Han,Charles Møller,John Gøtze     Pág. 42 - 59
The transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Ar... ver más