Optical Sensor System for Early Warning of Inflow Organic Matter Breach in Large-Scale Irrigation Systems and Water Treatment Systems

Sergey Sinitsa, Nir Sochen, David Mendlovic, Mikhail Borisover, Beni Lew, Shlomo Sela-Saldinger, Vladimir Yudachev, Nadia Buchanovsky, Yulia Kroupitski, Lavi Rosenfeld, Iftach Klapp

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A growing world population together with a decrease in water resources have resulted in a deficit in water sources for agriculture. Nations with limited water resources are already using recycled treated water as a vital water source for irrigation. In 2019, treated wastewater made up 45% of the overall agricultural water consumption in Israel. Since recycling systems work continuously and are directly connected to irrigation reservoirs, there is a constant risk of irrigation system malfunctions in the treatment process. In cases of fecal origin, this may result in pathogens entering the irrigation water, the soil, and eventually the food chain. Early warning systems for biological water contamination are important in large-scale processing, yet less studied. This work proposes such a system, with a functional prototype for irrigation-water monitoring by measuring fluorescence spectra in the range of 300-520 textit {nm} at excitation wavelengths of 280 textit {nm} and 340 textit {nm} , to capture both tryptophan-like fluorescence and humic-like fluorescence. The prototype was successfully tested under simulated field conditions with treated irrigation water as the base substance, and milk injections to simulate dissolved organic matter breaches. Near real-time operation enabled recording biological and chemical dynamics within the substance for the sake of monitoring drift in process control.

Original languageEnglish
Pages (from-to)1680-1691
Number of pages12
JournalIEEE Sensors Journal
Volume22
Issue number2
DOIs
StatePublished - 15 Jan 2022
Externally publishedYes

Keywords

  • Fecal contamination
  • fluorescence sensor
  • in situ monitoring
  • spectrometer
  • water quality

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