Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3297
DC FieldValueLanguage
dc.contributor.authorHassani, Amirhossein-
dc.contributor.authorAzapagic, Adisa-
dc.contributor.authorD'Odorico, Paolo-
dc.contributor.authorKeshmiri, Amir-
dc.contributor.authorShokri, Nima-
dc.date.accessioned2021-02-19T09:24:56Z-
dc.date.available2021-02-19T09:24:56Z-
dc.date.issued2019-10-19-
dc.identifier.citationScience of the Total Environment 703: 134718 (2020-02-10)de_DE
dc.identifier.issn0048-9697de_DE
dc.identifier.urihttp://hdl.handle.net/11420/8854-
dc.description.abstractRiver flow reductions as a result of agricultural withdrawals and climate change are rapidly desiccating endorheic lakes, increasing their salinity and affecting the bio-diversity and human wellbeing in the surrounding areas. Here we present a new framework to guide eco-hydrological restoration of saline lakes and build their resilience to climate change by optimizing agricultural land use and related water withdrawals. The framework involves four steps: 1. selection of global circulation models for the basin under study; 2. establishment of a hydrological balance over the lake's area to estimate the amount of water required for its restoration; 3. water allocation modeling to determine the water available for restoration and allocation of the remaining water across different users in the lake's basin; and 4. basin-scale optimization of land use and cropping patterns subject to water availability. We illustrated the general applicability of the framework through the case of the second largest (by volume) hyper-saline lake globally, Lake Urmia, which lost 96% of its volume in only 20 years, primarily as a result of upstream water withdrawals. Through the application of the framework, we estimated the amount of water needed to restore the lake, either fully or partially, and proposed a sustainable land-use strategy, while protect farmers’ income in the basin. Considering future climate change projections under two representative concentration pathways (RCP) 4.5 and 8.5, we found that an average annual surface inflow of 3,648 Mm3 (∼70% increase in RCP 4.5) and 3,692 Mm3 (∼73% increase in RCP 8.5) would be required to restore the lake by 2050, respectively. This would require the respective conversion of 95,600 ha and 133,687 ha of irrigated land to rain-fed cropland or grassland across the basin by 2050. The proposed framework can be used for building resilience to climate change and mitigating human-induced threats to other declining saline lakes.en
dc.language.isoende_DE
dc.relation.ispartofThe science of the total environmentde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de_DE
dc.subjectEcosystem servicesde_DE
dc.subjectLake restorationde_DE
dc.subjectLake Urmiade_DE
dc.subjectLand use managementde_DE
dc.subjectOptimal cropping patternsde_DE
dc.subjectSaline lakesde_DE
dc.subject.ddc004: Informatikde_DE
dc.subject.ddc550: Geowissenschaftende_DE
dc.titleDesiccation crisis of saline lakes: a new decision-support framework for building resilience to climate changede_DE
dc.typeArticlede_DE
dc.identifier.doi10.15480/882.3297-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0125901-
tuhh.oai.showtruede_DE
tuhh.abstract.englishRiver flow reductions as a result of agricultural withdrawals and climate change are rapidly desiccating endorheic lakes, increasing their salinity and affecting the bio-diversity and human wellbeing in the surrounding areas. Here we present a new framework to guide eco-hydrological restoration of saline lakes and build their resilience to climate change by optimizing agricultural land use and related water withdrawals. The framework involves four steps: 1. selection of global circulation models for the basin under study; 2. establishment of a hydrological balance over the lake's area to estimate the amount of water required for its restoration; 3. water allocation modeling to determine the water available for restoration and allocation of the remaining water across different users in the lake's basin; and 4. basin-scale optimization of land use and cropping patterns subject to water availability. We illustrated the general applicability of the framework through the case of the second largest (by volume) hyper-saline lake globally, Lake Urmia, which lost 96% of its volume in only 20 years, primarily as a result of upstream water withdrawals. Through the application of the framework, we estimated the amount of water needed to restore the lake, either fully or partially, and proposed a sustainable land-use strategy, while protect farmers’ income in the basin. Considering future climate change projections under two representative concentration pathways (RCP) 4.5 and 8.5, we found that an average annual surface inflow of 3,648 Mm3 (∼70% increase in RCP 4.5) and 3,692 Mm3 (∼73% increase in RCP 8.5) would be required to restore the lake by 2050, respectively. This would require the respective conversion of 95,600 ha and 133,687 ha of irrigated land to rain-fed cropland or grassland across the basin by 2050. The proposed framework can be used for building resilience to climate change and mitigating human-induced threats to other declining saline lakes.de_DE
tuhh.publisher.doi10.1016/j.scitotenv.2019.134718-
tuhh.identifier.doi10.15480/882.3297-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.volume703de_DE
dc.identifier.pmid31734504de_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-85074881201de_DE
tuhh.container.articlenumber134718de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeArticle-
item.creatorOrcidHassani, Amirhossein-
item.creatorOrcidAzapagic, Adisa-
item.creatorOrcidD'Odorico, Paolo-
item.creatorOrcidKeshmiri, Amir-
item.creatorOrcidShokri, Nima-
item.creatorGNDHassani, Amirhossein-
item.creatorGNDAzapagic, Adisa-
item.creatorGNDD'Odorico, Paolo-
item.creatorGNDKeshmiri, Amir-
item.creatorGNDShokri, Nima-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.author.deptGeohydroinformatik B-9-
crisitem.author.orcid0000-0002-6470-0490-
crisitem.author.orcid0000-0003-2380-918X-
crisitem.author.orcid0000-0002-0007-5833-
crisitem.author.orcid0000-0001-6799-4888-
crisitem.author.parentorgStudiendekanat Bauwesen-
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