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    Enhanced Field Inspections of Closed Landfills Using Aerial Orthophotography in Illinois

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2018:;Volume ( 022 ):;issue: 001
    Author:
    Christopher Stohr
    ,
    Heather Filippini
    DOI: 10.1061/(ASCE)HZ.2153-5515.0000372
    Publisher: American Society of Civil Engineers
    Abstract: Most closed landfills in Illinois are inadequately lined former dumps with thin earthen covers. Customary walkover inspections of these legacy landfills can overlook defects in the cover and surrounding area that increase threats to human health and water resource quality. Publicly available aerial orthophotography and light detection and ranging (lidar) data were interpreted for 10 closed, managed landfills in Illinois. Visible and near-infrared data were enhanced by histogram stretching, normalized difference vegetation index, iron oxide index, and images draped over lidar data to improve recognition of defects and features of interest. Image interpretation keys were used and confidence levels assigned to create previsit maps showing deformation features, including depressions and dimples that collect runoff, gullies eroding into earthen covers, slope instability, wet and barren spots that may be outlets for leachate seeps, and vegetation anomalies that can indicate outgassing. Defects on inspection maps were ordered for on-site reconnaissance. Changes observed from comparing historical and current imagery and geographic information system–based defect-tracking databases can provide a basis for scheduling maintenance and prioritizing repairs for sustainable postclosure and custodial landfill management.
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      Enhanced Field Inspections of Closed Landfills Using Aerial Orthophotography in Illinois

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4238820
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    contributor authorChristopher Stohr
    contributor authorHeather Filippini
    date accessioned2017-12-16T09:07:12Z
    date available2017-12-16T09:07:12Z
    date issued2018
    identifier other%28ASCE%29HZ.2153-5515.0000372.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4238820
    description abstractMost closed landfills in Illinois are inadequately lined former dumps with thin earthen covers. Customary walkover inspections of these legacy landfills can overlook defects in the cover and surrounding area that increase threats to human health and water resource quality. Publicly available aerial orthophotography and light detection and ranging (lidar) data were interpreted for 10 closed, managed landfills in Illinois. Visible and near-infrared data were enhanced by histogram stretching, normalized difference vegetation index, iron oxide index, and images draped over lidar data to improve recognition of defects and features of interest. Image interpretation keys were used and confidence levels assigned to create previsit maps showing deformation features, including depressions and dimples that collect runoff, gullies eroding into earthen covers, slope instability, wet and barren spots that may be outlets for leachate seeps, and vegetation anomalies that can indicate outgassing. Defects on inspection maps were ordered for on-site reconnaissance. Changes observed from comparing historical and current imagery and geographic information system–based defect-tracking databases can provide a basis for scheduling maintenance and prioritizing repairs for sustainable postclosure and custodial landfill management.
    publisherAmerican Society of Civil Engineers
    titleEnhanced Field Inspections of Closed Landfills Using Aerial Orthophotography in Illinois
    typeJournal Paper
    journal volume22
    journal issue1
    journal titleJournal of Hazardous, Toxic, and Radioactive Waste
    identifier doi10.1061/(ASCE)HZ.2153-5515.0000372
    treeJournal of Hazardous, Toxic, and Radioactive Waste:;2018:;Volume ( 022 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian