Optical Sensor System for Early Warning of Inflow Organic Matter Breach in Large-Scale Irrigation Systems and Water Treatment Systems
| Autor: | David Mendelovich, Iftach Klapp, Sergey Sinitsa, Yulia Kroupitski, Shlomo Sela-Saldinger, Nadia Buchanovsky, Vladimir Yudachev, Mikhail Borisover, Nir Sochen, Beni Lew, Lavi Rosenfeld |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IEEE Sensors Journal. 22:1680-1691 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2021.3132019 |
| Popis: | 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 nm at excitation wavelengths of 280 nm and 340 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. |
| Databáze: | OpenAIRE |
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