FERREIRA, D. J. L.; http://lattes.cnpq.br/0937608609138787; FERREIRA, Denise de Jesus Lemos.
Resumo:
Irrigation is an important technology in the agricultural sector and requires constant
evaluation to detect problems quickly and accurately, for this, some statistical modeling
techniques are being used with great success. This study aimed to apply statistical quality
control techniques in monitoring and evaluation of two drip irrigation systems (dripper
Taldrip and dripper PCJ-CNL with flared port) operating with supply of water and
anaerobic effluent. The experiment was conducted on Irrigation and Drainage Laboratory
UFCG-PB. We evaluated the quality of the irrigation process applying up the Shewhart
control charts to hydraulic performance indicators (flow, distribution uniformity coefficient
- CUD, total variation coefficient - CVt and degree of clogging - GE). The evaluations
were performed every 20 hours, being taken 26 measurements totaling 500 hours of
operation of the irrigation system. It was found that for the treatments with water supply
the systems presented excellent response keeping up within the statistical control for most
of the study period. For irrigation systems operating with treated wastewater, there was a
lack of process control starting from 340 hours (PCJ-CNL with flared port) and 380 hours
(Taldrip) of functioning. From this study, we observed that the indicator of performance
that best represents the clogging problem in drip irrigation systems is the degree of
clogging. In statistical process control, the irrigation system using the PCJ-CNL dripper
with flared port, was more sensitive to clogging has not maintained the compensation
mechanism throughout the system operating time when operating with wastewater treated.