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Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV

Surface monitoring of landfills is crucial not only during their operation but also for later land restoration and development. Measurements concern environmental factors, such as leachate, migration of pollutants to water, biogas, and atmospheric emissions, and geotechnical factors, such as stabili...

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Autores principales: Pasternak, Grzegorz, Zaczek-Peplinska, Janina, Pasternak, Klaudia, Jóźwiak, Jacek, Pasik, Mariusz, Koda, Eugeniusz, Vaverková, Magdalena Daria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961628/
https://www.ncbi.nlm.nih.gov/pubmed/36850445
http://dx.doi.org/10.3390/s23041847
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author Pasternak, Grzegorz
Zaczek-Peplinska, Janina
Pasternak, Klaudia
Jóźwiak, Jacek
Pasik, Mariusz
Koda, Eugeniusz
Vaverková, Magdalena Daria
author_facet Pasternak, Grzegorz
Zaczek-Peplinska, Janina
Pasternak, Klaudia
Jóźwiak, Jacek
Pasik, Mariusz
Koda, Eugeniusz
Vaverková, Magdalena Daria
author_sort Pasternak, Grzegorz
collection PubMed
description Surface monitoring of landfills is crucial not only during their operation but also for later land restoration and development. Measurements concern environmental factors, such as leachate, migration of pollutants to water, biogas, and atmospheric emissions, and geotechnical factors, such as stability and subsidence. Landfill subsidence can be measured using modern surveying techniques. Modern measurement methods for landfill body displacement monitoring and their control after restoration and adaptation as recreational areas include terrestrial laser scanning (TLS), and scanning and low-altitude photogrammetric measurements from an unmanned aerial vehicle (UAV). The acquired measurement data in the form of 3D point clouds should be referenced to the local control network to enable a comprehensive analysis of data acquired using various techniques, including geotechnical sensors such as benchmarks, piezometers, and inclinometers. This study discusses the need for surface monitoring of municipal solid waste (MSW) landfills. A properly 3-D mapped landfill mass is the basis for ensuring the geotechnical safety of the restored landfill. Based on archival data and current measurements of the Radiowo landfill (Poland), this study compares the advantages and limitations of the following measurement techniques: linear and angular measurements, satellite measurements, TLS, and UAV scanning and photogrammetry, considering specific conditions of the location and vegetation of the landfill. Solutions for long-term monitoring were proposed, considering the cost and time resolution necessary for creating a differential model of landfill geometry changes.
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spelling pubmed-99616282023-02-26 Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV Pasternak, Grzegorz Zaczek-Peplinska, Janina Pasternak, Klaudia Jóźwiak, Jacek Pasik, Mariusz Koda, Eugeniusz Vaverková, Magdalena Daria Sensors (Basel) Article Surface monitoring of landfills is crucial not only during their operation but also for later land restoration and development. Measurements concern environmental factors, such as leachate, migration of pollutants to water, biogas, and atmospheric emissions, and geotechnical factors, such as stability and subsidence. Landfill subsidence can be measured using modern surveying techniques. Modern measurement methods for landfill body displacement monitoring and their control after restoration and adaptation as recreational areas include terrestrial laser scanning (TLS), and scanning and low-altitude photogrammetric measurements from an unmanned aerial vehicle (UAV). The acquired measurement data in the form of 3D point clouds should be referenced to the local control network to enable a comprehensive analysis of data acquired using various techniques, including geotechnical sensors such as benchmarks, piezometers, and inclinometers. This study discusses the need for surface monitoring of municipal solid waste (MSW) landfills. A properly 3-D mapped landfill mass is the basis for ensuring the geotechnical safety of the restored landfill. Based on archival data and current measurements of the Radiowo landfill (Poland), this study compares the advantages and limitations of the following measurement techniques: linear and angular measurements, satellite measurements, TLS, and UAV scanning and photogrammetry, considering specific conditions of the location and vegetation of the landfill. Solutions for long-term monitoring were proposed, considering the cost and time resolution necessary for creating a differential model of landfill geometry changes. MDPI 2023-02-07 /pmc/articles/PMC9961628/ /pubmed/36850445 http://dx.doi.org/10.3390/s23041847 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pasternak, Grzegorz
Zaczek-Peplinska, Janina
Pasternak, Klaudia
Jóźwiak, Jacek
Pasik, Mariusz
Koda, Eugeniusz
Vaverková, Magdalena Daria
Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title_full Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title_fullStr Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title_full_unstemmed Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title_short Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV
title_sort surface monitoring of an msw landfill based on linear and angular measurements, tls, and lidar uav
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961628/
https://www.ncbi.nlm.nih.gov/pubmed/36850445
http://dx.doi.org/10.3390/s23041847
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