Multicriteria analysis and geoprocessing for conservation of unpaved roads

The objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.

Saved in:
Bibliographic Details
Main Authors: Martins,Frederico C. M., Andrade,Luana C. R., Calijuri,Maria Lúcia, Barros,Kelly O., Barreto,Emmanoel M.
Format: Digital revista
Language:English
Published: Sociedade de Ciências Agrárias de Portugal 2014
Online Access:http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scielo:S0871-018X2014000200006
record_format ojs
spelling oai:scielo:S0871-018X20140002000062014-08-28Multicriteria analysis and geoprocessing for conservation of unpaved roadsMartins,Frederico C. M.Andrade,Luana C. R.Calijuri,Maria LúciaBarros,Kelly O.Barreto,Emmanoel M. Balseq model soil erosion water quality and production The objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.info:eu-repo/semantics/openAccessSociedade de Ciências Agrárias de PortugalRevista de Ciências Agrárias v.37 n.2 20142014-06-01info:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006en
institution SCIELO
collection OJS
country Portugal
countrycode PT
component Revista
access En linea
databasecode rev-scielo-pt
tag revista
region Europa del Sur
libraryname SciELO
language English
format Digital
author Martins,Frederico C. M.
Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
spellingShingle Martins,Frederico C. M.
Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
Multicriteria analysis and geoprocessing for conservation of unpaved roads
author_facet Martins,Frederico C. M.
Andrade,Luana C. R.
Calijuri,Maria Lúcia
Barros,Kelly O.
Barreto,Emmanoel M.
author_sort Martins,Frederico C. M.
title Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_short Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_full Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_fullStr Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_full_unstemmed Multicriteria analysis and geoprocessing for conservation of unpaved roads
title_sort multicriteria analysis and geoprocessing for conservation of unpaved roads
description The objective of this study consisted on the utilization of geoprocessing to determine suitable areas for the allocation of boxes to capture rainwater and sediments on unpaved roads. The methodology was based on: data generated from a digital Model of Elevation Hydrographic Conditioning, classification of use and occupation of land, infiltration and runoff data obtained by the Balseq method, followed by a multi-criteria analysis. Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA) were used in the aggregation of pre-established criteria. A total of 289 areas larger than 0.0003 ha with a suitability greater than 250 have been identified for deployment of catchment boxes, in a risk analysis with a medium-high scenario OWA1 partial compensation. In the WLC scenario 53 critical areas were considered, with 255 of suitability, with a moderate risk and maximum compensation, which should necessarily be a condition in the implementation of catchment boxes. However, this methodology, can implement better management on unpaved road.
publisher Sociedade de Ciências Agrárias de Portugal
publishDate 2014
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2014000200006
work_keys_str_mv AT martinsfredericocm multicriteriaanalysisandgeoprocessingforconservationofunpavedroads
AT andradeluanacr multicriteriaanalysisandgeoprocessingforconservationofunpavedroads
AT calijurimarialucia multicriteriaanalysisandgeoprocessingforconservationofunpavedroads
AT barroskellyo multicriteriaanalysisandgeoprocessingforconservationofunpavedroads
AT barretoemmanoelm multicriteriaanalysisandgeoprocessingforconservationofunpavedroads
_version_ 1756001434758807552