Spatially explicit river basin models for cost-benefit analyses to optimize land use

Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) onlin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ghafoor, Jawad, Forio, Marie Anne Eurie, Goethals, Peter
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Ghafoor, Jawad
Forio, Marie Anne Eurie
Goethals, Peter
description Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) online database was implemented and resulted in the selection of 27 articles that utilized models to perform cost-benefit analyses of river basins. The models reviewed in these papers were categorized into five types: process-based, statistical, probabilistic, data-driven, and modeling frameworks or integrated models. Twenty-six models were reviewed based on their data and input variable needs and user convenience. A SWOT analysis was also performed to highlight the strengths, weaknesses, opportunities, and threats of these models. One of the main strengths is their ability to perform scenario-based analyses while the main drawback is the limited availability of data impeding the use of the models. We found that, to some extent, there is an increase in model applicability as the number of input variables increases but there are exceptions to this observation. Future studies should explicitly report on the necessary time needed for data collection, model development and/or training, and model application. This information is highly valuable to users and modelers when choosing which model to use in performing a particular cost-benefit analysis. These models can be developed and applied to assist sustainable development as well as the sustainable utilization of agricultural parcels within a river basin, which can eventually reduce the negative impacts of intensive agriculture and minimize habitat degradation on water resources.
format Article
fullrecord <record><control><sourceid>ghent</sourceid><recordid>TN_cdi_ghent_librecat_oai_archive_ugent_be_8762479</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_archive_ugent_be_8762479</sourcerecordid><originalsourceid>FETCH-ghent_librecat_oai_archive_ugent_be_87624793</originalsourceid><addsrcrecordid>eNqdjcEKwjAQRIMoKOo_7A8UmlatnkXxrvewbbd1JSYlG0X9eit48OxcZuDNMAM1ydJCJzpdpsOfPFZzkUvaK8_1Rq8m6nTsMDJa-wR6dJYrjhD4TgFKFHZw9TVZgcYHqLzEpCRHTd9Bh_YpJBA9-C7ylV8EFl0NN6GZGjVoheZfn6psvzttD0l7JheN5TJQhdF4ZIOhOvd_5tZ-UElmXayyRbHJ_xq9AVVqT5c</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Spatially explicit river basin models for cost-benefit analyses to optimize land use</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Ghent University Academic Bibliography</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ghafoor, Jawad ; Forio, Marie Anne Eurie ; Goethals, Peter</creator><creatorcontrib>Ghafoor, Jawad ; Forio, Marie Anne Eurie ; Goethals, Peter</creatorcontrib><description>Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) online database was implemented and resulted in the selection of 27 articles that utilized models to perform cost-benefit analyses of river basins. The models reviewed in these papers were categorized into five types: process-based, statistical, probabilistic, data-driven, and modeling frameworks or integrated models. Twenty-six models were reviewed based on their data and input variable needs and user convenience. A SWOT analysis was also performed to highlight the strengths, weaknesses, opportunities, and threats of these models. One of the main strengths is their ability to perform scenario-based analyses while the main drawback is the limited availability of data impeding the use of the models. We found that, to some extent, there is an increase in model applicability as the number of input variables increases but there are exceptions to this observation. Future studies should explicitly report on the necessary time needed for data collection, model development and/or training, and model application. This information is highly valuable to users and modelers when choosing which model to use in performing a particular cost-benefit analysis. These models can be developed and applied to assist sustainable development as well as the sustainable utilization of agricultural parcels within a river basin, which can eventually reduce the negative impacts of intensive agriculture and minimize habitat degradation on water resources.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><language>eng</language><subject>CALIBRATION ; CLIMATE-CHANGE ; cost-benefit analyses ; Earth and Environmental Sciences ; ECOSYSTEM SERVICES ; FUTURE ; NETWORKS ; NONPOINT-SOURCE POLLUTION ; optimized land use ; QUALITY ; river basin models ; spatially explicit models ; TRADE-OFFS ; USE ALLOCATION ; WATER MANAGEMENT</subject><creationdate>2022</creationdate><rights>Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,780,784,4024,27860</link.rule.ids></links><search><creatorcontrib>Ghafoor, Jawad</creatorcontrib><creatorcontrib>Forio, Marie Anne Eurie</creatorcontrib><creatorcontrib>Goethals, Peter</creatorcontrib><title>Spatially explicit river basin models for cost-benefit analyses to optimize land use</title><description>Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) online database was implemented and resulted in the selection of 27 articles that utilized models to perform cost-benefit analyses of river basins. The models reviewed in these papers were categorized into five types: process-based, statistical, probabilistic, data-driven, and modeling frameworks or integrated models. Twenty-six models were reviewed based on their data and input variable needs and user convenience. A SWOT analysis was also performed to highlight the strengths, weaknesses, opportunities, and threats of these models. One of the main strengths is their ability to perform scenario-based analyses while the main drawback is the limited availability of data impeding the use of the models. We found that, to some extent, there is an increase in model applicability as the number of input variables increases but there are exceptions to this observation. Future studies should explicitly report on the necessary time needed for data collection, model development and/or training, and model application. This information is highly valuable to users and modelers when choosing which model to use in performing a particular cost-benefit analysis. These models can be developed and applied to assist sustainable development as well as the sustainable utilization of agricultural parcels within a river basin, which can eventually reduce the negative impacts of intensive agriculture and minimize habitat degradation on water resources.</description><subject>CALIBRATION</subject><subject>CLIMATE-CHANGE</subject><subject>cost-benefit analyses</subject><subject>Earth and Environmental Sciences</subject><subject>ECOSYSTEM SERVICES</subject><subject>FUTURE</subject><subject>NETWORKS</subject><subject>NONPOINT-SOURCE POLLUTION</subject><subject>optimized land use</subject><subject>QUALITY</subject><subject>river basin models</subject><subject>spatially explicit models</subject><subject>TRADE-OFFS</subject><subject>USE ALLOCATION</subject><subject>WATER MANAGEMENT</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqdjcEKwjAQRIMoKOo_7A8UmlatnkXxrvewbbd1JSYlG0X9eit48OxcZuDNMAM1ydJCJzpdpsOfPFZzkUvaK8_1Rq8m6nTsMDJa-wR6dJYrjhD4TgFKFHZw9TVZgcYHqLzEpCRHTd9Bh_YpJBA9-C7ylV8EFl0NN6GZGjVoheZfn6psvzttD0l7JheN5TJQhdF4ZIOhOvd_5tZ-UElmXayyRbHJ_xq9AVVqT5c</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Ghafoor, Jawad</creator><creator>Forio, Marie Anne Eurie</creator><creator>Goethals, Peter</creator><scope>ADGLB</scope></search><sort><creationdate>2022</creationdate><title>Spatially explicit river basin models for cost-benefit analyses to optimize land use</title><author>Ghafoor, Jawad ; Forio, Marie Anne Eurie ; Goethals, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_87624793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALIBRATION</topic><topic>CLIMATE-CHANGE</topic><topic>cost-benefit analyses</topic><topic>Earth and Environmental Sciences</topic><topic>ECOSYSTEM SERVICES</topic><topic>FUTURE</topic><topic>NETWORKS</topic><topic>NONPOINT-SOURCE POLLUTION</topic><topic>optimized land use</topic><topic>QUALITY</topic><topic>river basin models</topic><topic>spatially explicit models</topic><topic>TRADE-OFFS</topic><topic>USE ALLOCATION</topic><topic>WATER MANAGEMENT</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghafoor, Jawad</creatorcontrib><creatorcontrib>Forio, Marie Anne Eurie</creatorcontrib><creatorcontrib>Goethals, Peter</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghafoor, Jawad</au><au>Forio, Marie Anne Eurie</au><au>Goethals, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially explicit river basin models for cost-benefit analyses to optimize land use</atitle><date>2022</date><risdate>2022</risdate><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Recently, a wide range of models have been used in analyzing the costs and benefits of land utilization in river basins. Despite these advances, there is not enough information on how to select appropriate models to perform cost-benefit analyses. A literature search in the Web of Science (WOS) online database was implemented and resulted in the selection of 27 articles that utilized models to perform cost-benefit analyses of river basins. The models reviewed in these papers were categorized into five types: process-based, statistical, probabilistic, data-driven, and modeling frameworks or integrated models. Twenty-six models were reviewed based on their data and input variable needs and user convenience. A SWOT analysis was also performed to highlight the strengths, weaknesses, opportunities, and threats of these models. One of the main strengths is their ability to perform scenario-based analyses while the main drawback is the limited availability of data impeding the use of the models. We found that, to some extent, there is an increase in model applicability as the number of input variables increases but there are exceptions to this observation. Future studies should explicitly report on the necessary time needed for data collection, model development and/or training, and model application. This information is highly valuable to users and modelers when choosing which model to use in performing a particular cost-benefit analysis. These models can be developed and applied to assist sustainable development as well as the sustainable utilization of agricultural parcels within a river basin, which can eventually reduce the negative impacts of intensive agriculture and minimize habitat degradation on water resources.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof
issn 2071-1050
2071-1050
language eng
recordid cdi_ghent_librecat_oai_archive_ugent_be_8762479
source MDPI - Multidisciplinary Digital Publishing Institute; Ghent University Academic Bibliography; EZB-FREE-00999 freely available EZB journals
subjects CALIBRATION
CLIMATE-CHANGE
cost-benefit analyses
Earth and Environmental Sciences
ECOSYSTEM SERVICES
FUTURE
NETWORKS
NONPOINT-SOURCE POLLUTION
optimized land use
QUALITY
river basin models
spatially explicit models
TRADE-OFFS
USE ALLOCATION
WATER MANAGEMENT
title Spatially explicit river basin models for cost-benefit analyses to optimize land use
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T20%3A20%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ghent&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatially%20explicit%20river%20basin%20models%20for%20cost-benefit%20analyses%20to%20optimize%20land%20use&rft.au=Ghafoor,%20Jawad&rft.date=2022&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/&rft_dat=%3Cghent%3Eoai_archive_ugent_be_8762479%3C/ghent%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true