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.
Main Authors: | , , , , |
---|---|
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 |