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[122030] Artykuł:

Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

Czasopismo: Energies   Tom: 16, Zeszyt: 6
ISSN:  1996-1073
Opublikowano: Marzec 2023
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Do oświadczenia
nr 3
Grupa
przynależności
Dyscyplina
naukowa
Procent
udziału
Liczba
punktów
do oceny pracownika
Liczba
punktów wg
kryteriów ewaluacji
Bartosz Szeląg orcid logo WiŚGiEKatedra Geotechniki, Geomatyki i Gospodarki Odpadami*Niezaliczony do "N"Inżynieria środowiska, górnictwo i energetyka3549.0070.00  
Szymon Sobura orcid logo WiŚGiEKatedra Geodezji i Geomatyki*Takzaliczony do "N"Inżynieria środowiska, górnictwo i energetyka5070.0070.00  
Renata Stoińska orcid logo WiŚGiEKatedra Technologii Wody i ŚciekówNiespoza "N" jednostkiInżynieria środowiska, górnictwo i energetyka1521.00.00  

Grupa MNiSW:  Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A)
Punkty MNiSW: 140


DOI LogoDOI    
Keywords:

wastewater treatment plant WWTP  unmanned aerial vehicle UAV  spectral analyses  multispectral images  GNDVI green normalised difference vegetation index 



Abstract:

The main task of a wastewater treatment plant (WWTP) is to reduce pollutants that
adversely affect the receiving environment in which the effluent is discharged. The operation of
a WWTP is a complex task due to the number of different processes that take place in its process
facilities. In order to maintain the high efficiency of a WWTP, it is necessary to control the quality
of the effluent at the outlet and monitor the processes taking place there. The main objective
of the research presented in this study was to evaluate the possibility of using unmanned aerial
vehicle (UAV) technology and multispectral images acquired with a Micasense Red-Edge MX camera
to analyse the performance of an activated sludge bioreactor using the example of a municipal
WWTP in Poland. Remote sensing analyses were carried out to check the relationships between the
calculated spectral indices and the quality parameters in the bioreactor. The spectral indices assessed
were the normalised difference vegetation index (NDVI), green normalised difference vegetation
index (GNDVI), optimised soil adjusted vegetation index (OSAVI), and their derived indices, after
substitution of the red or near-infrared channel with the red edge channel. In this study, the sensitivity
of the NDVI and GNDVIRED-EDGE indexes to changes in the nutrient content (NUC) of the bioreactor
was observed. The presented research may find application in the design of a new soft sensor for
monitoring the operating conditions of wastewater treatment plants.