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Nouri, Hamideh
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Nouri, Hamideh
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Nouri, Hamideh
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Nouri, H.
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55433064800
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2021Journal Article Research Paper [["dc.bibliographiccitation.firstpage","1291"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Water Resources Management"],["dc.bibliographiccitation.lastpage","1298"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Berger, Markus"],["dc.contributor.author","Campos, Jazmin"],["dc.contributor.author","Carolli, Mauro"],["dc.contributor.author","Dantas, Ianna"],["dc.contributor.author","Forin, Silvia"],["dc.contributor.author","Kosatica, Ervin"],["dc.contributor.author","Kramer, Annika"],["dc.contributor.author","Mikosch, Natalia"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Schlattmann, Anna"],["dc.contributor.author","Schmidt, Falk"],["dc.contributor.author","Schomberg, Anna"],["dc.contributor.author","Semmling, Elsa"],["dc.date.accessioned","2021-06-15T16:43:23Z"],["dc.date.available","2021-06-15T16:43:23Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract The water footprint has developed into a widely-used concept to examine water use and resulting local impacts caused during agricultural and industrial production. Building on recent advancements in the water footprint concept, it can be an effective steering instrument to support, inter alia, achieving sustainable development goals (SDGs) - SDG 6 in particular. Within the research program “Water as a Global Resource” (GRoW), an initiative of the Federal Ministry for Education and Research, a number of research projects currently apply and enhance the water footprint concept in order to identify areas where water is being used inefficiently and implement practical optimization measures (see imprint for more information). With this paper, we aim to raise awareness on the potential of the water footprint concept to inform decision-making in the public and private sectors towards improved water management and achieving the SDGs."],["dc.identifier.doi","10.1007/s11269-021-02784-9"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87223"],["dc.identifier.url","https://publications.goettingen-research-online.de/handle/2/84818"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","1573-1650"],["dc.relation.issn","0920-4741"],["dc.relation.issn","1573-1650"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Advancing the Water Footprint into an Instrument to Support Achieving the SDGs – Recommendations from the “Water as a Global Resources” Research Initiative (GRoW)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article Research Paper [["dc.bibliographiccitation.firstpage","391"],["dc.bibliographiccitation.journal","Agricultural Water Management"],["dc.bibliographiccitation.lastpage","398"],["dc.bibliographiccitation.volume","217"],["dc.contributor.author","Griñán, I."],["dc.contributor.author","Rodríguez, P."],["dc.contributor.author","Cruz, Z.N."],["dc.contributor.author","Nouri, H."],["dc.contributor.author","Borsato, E."],["dc.contributor.author","Molina, A.J."],["dc.contributor.author","Moriana, A."],["dc.contributor.author","Centeno, A."],["dc.contributor.author","Martín-Palomo, M.J."],["dc.contributor.author","Pérez-López, D."],["dc.contributor.author","Torrecillas, A."],["dc.contributor.author","Galindo, A."],["dc.date.accessioned","2020-12-10T14:22:19Z"],["dc.date.available","2020-12-10T14:22:19Z"],["dc.date.issued","2019"],["dc.description.abstract","The resistance mechanisms (stress avoidance and stress tolerance) developed by persimmon plants (Diospyros kaki L. f. grafted on Diospyros lotus L.) in response to mild water stress and the sensitivity of continuously (on a whole-day basis) and discretely (at predawn and midday) measured indicators of the plant water status were investigated in 3-year old ‘Rojo Brillante’ persimmon plants. Control (T0) plants were drip irrigated in order to maintain soil water content at levels slightly above soil field capacity (102.3% of soil field capacity) and T1 plants were drip irrigated for 33 days in order to maintain the soil water content at around 80% of soil field capacity. The results indicated persimmon plants confront a mild water stress situation by gradually developing stomata control (stress avoidance mechanism) and exhibiting some xeromorphic characteristic such as high leaf relative apoplastic water content, which could contribute to the retention of water at low leaf water potentials. In addition, sap flow measurements made by the heat-pulse technique were seen to be the most suitable method for estimating persimmon water status, because it provided the highest signal intensity (actual value/reference value):noise (coefficient of variation) ratio in almost all intervals of time considered and provides continuous and automated registers of the persimmon water status in real time."],["dc.identifier.doi","10.1016/j.agwat.2019.03.008"],["dc.identifier.issn","0378-3774"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71576"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Leaf water relations in Diospyros kaki during a mild water deficit exposure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article Research Paper [["dc.bibliographiccitation.artnumber","55"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Urban and Regional Planning"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Li, Feng"],["dc.contributor.author","Sutton, Paul"],["dc.contributor.author","Nouri, Hamideh"],["dc.date.accessioned","2021-06-30T15:58:36Z"],["dc.date.available","2021-06-30T15:58:36Z"],["dc.date.issued","2018"],["dc.description.abstract","The ongoing rapid urbanization and its socio-economic impacts on Chinese cities have engendered numerous environmental issues, food insecurity and significant stress on water resources besides accelerating some ecological degradation. Among these issues, urban-heat-island (UHI) and climate change in large cities had drawn much attention so that many researches on climate change adaptation and mitigation emerged in recent years. How to make the cities cool down and more liveable is more important than before for urban planning. Urban planners have been placing more stress on green space planning and the green environment of cities where dwellers crowd together. This paper is a review of green space in the Central City of Beijing under current situation and puts forward some advice on green space planning in responding to the climate change in the new era of China. Planning green space with the principal objective of “green-sponge-city” and the key concept of “low-carbon-city” is the primary adaptation and mitigation approach to climate change for urban planners and policymakers. No doubt, more attention and support from the government regarding strengthening green space systems in response to climate change will improve the liveability, resilience, and sustainability of cities in China."],["dc.identifier.doi","10.11648/j.urp.20180302.13"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87446"],["dc.language.iso","en"],["dc.relation.issn","2575-1689"],["dc.title","Planning Green Space for Climate Change Adaptation and Mitigation: A Review of Green Space in the Central City of Beijing"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article Research Paper [["dc.bibliographiccitation.artnumber","125086"],["dc.bibliographiccitation.journal","Journal of Hydrology"],["dc.bibliographiccitation.volume","588"],["dc.contributor.author","Nouri, H."],["dc.contributor.author","Stokvis, B."],["dc.contributor.author","Chavoshi Borujeni, S."],["dc.contributor.author","Galindo, A."],["dc.contributor.author","Brugnach, M."],["dc.contributor.author","Blatchford, M.L."],["dc.contributor.author","Alaghmand, S."],["dc.contributor.author","Hoekstra, A.Y."],["dc.date.accessioned","2021-04-14T08:23:25Z"],["dc.date.available","2021-04-14T08:23:25Z"],["dc.date.issued","2020"],["dc.description.abstract","Water-stressed countries need to plan their food security and reduce the pressure on their limited water resources. Agriculture, the largest water-using sector, has a major role in addressing water scarcity and food security challenges. While there has been quite some attention to water management solutions like soil mulching and improved irrigation, less attention has been paid to adapting the cropping pattern to save water. Here, we investigate how a change in which crops are grown where and when can influence the green and blue water footprint (WF) of crop production, save blue water, reduce blue water scarcity and increase both food and cash crop production, using FAO’s AquaCrop model. The performance of two potential solutions, first a strategy of mulching plus drip irrigation, and second a strategy with changing the cropping pattern in addition to mulching and drip irrigation, were compared in one of the most water-stressed catchments in the world, the Upper Litani Basin in Lebanon. Our results show a substantial potential for more efficient use of green water resources for food production while saving scarce blue water resources. Whereas mulching and drip irrigation together decrease the blue WF in the basin by 4.5%, changing the cropping pattern as well can decrease it by 20.3%. Food and cash production could increase by 3% and 50% by changing the cropping pattern, compared to 1.5% and 2.1% by mulching and drip irrigation. Changing the cropping pattern could thus significantly reduce water scarcity and enlarge food and cash production in the basin."],["dc.identifier.doi","10.1016/j.jhydrol.2020.125086"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80906"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","0022-1694"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Reduce blue water scarcity and increase nutritional and economic water productivity through changing the cropping pattern in a catchment"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","5074"],["dc.bibliographiccitation.journal","IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],["dc.bibliographiccitation.lastpage","5087"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Vulova, Stenka"],["dc.contributor.author","Meier, Fred"],["dc.contributor.author","Fenner, Daniel"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Kleinschmit, Birgit"],["dc.date.accessioned","2021-04-14T08:27:31Z"],["dc.date.available","2021-04-14T08:27:31Z"],["dc.date.issued","2020"],["dc.description.abstract","Urban areas tend to be warmer than their rural surroundings, well-known as the “urban heat island” effect. Higher nocturnal air temperature (Tair) is associated with adverse effects on human health, higher mortality rates, and higher energy consumption. Prediction of the spatial distribution of Tair is a step toward the “Smart City” concept, providing an early warning system for vulnerable populations. The study of the spatial distribution of urban Tair was thus far limited by the low spatial resolution of traditional data sources. Volunteered geographic information provides alternative data with higher spatial density, with citizen weather stations monitoring Tair continuously in hundreds or thousands of locations within a single city. In this article, the aim was to predict the spatial distribution of nocturnal Tair in Berlin, Germany, one day in advance at a 30-m resolution using open-source remote sensing and geodata from Landsat and Urban Atlas, crowdsourced Tair data, and machine learning (ML) methods. Results were tested with a “leave-one-date-out” training scheme (testingcrowd) and reference Tair data (testingref). Three ML algorithms were compared-Random Forest (RF), Stochastic Gradient Boosting, and Model Averaged Neural Network. The optimal model based on accuracy and computational speed is RF, with an average root mean square error (RMSE) for testingcrowd of 1.16 °C (R 2 = 0.512) and RMSE for testingref of 1.97 °C (R 2 = 0.581). Overall, the most important geographic information system (GIS) predictors were morphometric parameters and albedo. The proposed method relies on open-source datasets and can, therefore, be adapted to many cities worldwide."],["dc.identifier.doi","10.1109/JSTARS.2020.3019696"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82317"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2151-1535"],["dc.relation.issn","1939-1404"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","4851"],["dc.bibliographiccitation.issue","25"],["dc.bibliographiccitation.journal","Hydrological Processes"],["dc.bibliographiccitation.lastpage","4883"],["dc.bibliographiccitation.volume","34"],["dc.contributor.author","Nagler, Pamela L."],["dc.contributor.author","Barreto‐Muñoz, Armando"],["dc.contributor.author","Chavoshi Borujeni, Sattar"],["dc.contributor.author","Jarchow, Christopher J."],["dc.contributor.author","Gómez‐Sapiens, Martha M."],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Herrmann, Stefanie M."],["dc.contributor.author","Didan, Kamel"],["dc.date.accessioned","2021-04-14T08:32:19Z"],["dc.date.available","2021-04-14T08:32:19Z"],["dc.date.issued","2020"],["dc.description.abstract","Hydrological and bioclimatic processes that lead to drought may stress plants and wildlife, restructure plant community type and architecture, increase monotypic stands and bare soils, facilitate the invasion of non-native plant species and accelerate soil erosion. Our study focuses on the impact of a paucity of Colorado River surface flows from the United States (U.S.) to Mexico. We measured change in riparian plant greenness and water use over the past two decades using remotely sensed measurements of vegetation index (VI), evapotranspiration (ET) and a new annualized phenology assessment metric (PAM) for ET. We measure these long-term (2000–2019) metrics and their short-term (2014–2019) response to an environmental pulse flow in 2014, as prescribed under Minute 319 of the 1944 Water Treaty between the two nations. In subsequent years, small-directed flows were provided to restoration areas under Minute 323. We use 250 m MODIS and 30 m Landsat imagery to evaluate three vegetation indices (NDVI, EVI, EVI2). We select EVI2 to parameterize an optical-based ET algorithm and test the relationship between ET from Landsat and MODIS by regression approaches. Our analyses show significant decreases in VIs and ET for both the 20-year and post-pulse 5-year periods. Over the last 20 years, EVI Landsat declined 34% (30% by EVIMODIS) and ETLandsat-EVI declined 38% (27% by ETMODIS-EVI), overall ca. 1.61 mm/day or 476 mm/year drop in ET; using PAM ETLandsat-EVI the drop was from 1130 to 654 mm/year. Over the 5 years since the 2014 pulse flow, EVILandsat declined 20% (13% by EVIMODIS) and ETLandsat-EVI declined 23% (4% by ETMODIS-EVI) with a 0.77 mm/day or a 209 mm/year 5-year drop in ET; using PAM ETLandsat-EVI the drop was from 863 to 654 mm/year. Data and change maps show the pulse flow contributed enough water to slow the rate of loss, but only for the very short-term (1–2 years). These findings are critically important as they suggest further deterioration of biodiversity, wildlife habitat and key ecosystem services due to anthropogenic diversions of water in the U.S. and Mexico and from land clearing, fires and plant-related drought which affect hydrological processes."],["dc.identifier.doi","10.1002/hyp.13911"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83882"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1099-1085"],["dc.relation.issn","0885-6087"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Ecohydrological responses to surface flow across borders: Two decades of changes in vegetation greenness and water use in the riparian corridor of the Colorado River delta"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","695"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Natural Hazards and Earth System Sciences"],["dc.bibliographiccitation.lastpage","712"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Meza, Isabel"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Döll, Petra"],["dc.contributor.author","Kusche, Jürgen"],["dc.contributor.author","Herbert, Claudia"],["dc.contributor.author","Eyshi Rezaei, Ehsan"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Gerdener, Helena"],["dc.contributor.author","Popat, Eklavyya"],["dc.contributor.author","Frischen, Janna"],["dc.contributor.author","Naumann, Gustavo"],["dc.contributor.author","Vogt, Jürgen V."],["dc.contributor.author","Walz, Yvonne"],["dc.contributor.author","Sebesvari, Zita"],["dc.contributor.author","Hagenlocher, Michael"],["dc.date.accessioned","2021-04-14T08:26:58Z"],["dc.date.available","2021-04-14T08:26:58Z"],["dc.date.issued","2020"],["dc.description.abstract","Droughts continue to affect ecosystems, communities and entire economies. Agriculture bears much of the impact, and in many countries it is the most heavily affected sector. Over the past decades, efforts have been made to assess drought risk at different spatial scales. Here, we present for the first time an integrated assessment of drought risk for both irrigated and rainfed agricultural systems at the global scale. Composite hazard indicators were calculated for irrigated and rainfed systems separately using different drought indices based on historical climate conditions (1980–2016). Exposure was analyzed for irrigated and non-irrigated crops. Vulnerability was assessed through a socioecological-system (SES) perspective, using socioecological susceptibility and lack of coping-capacity indicators that were weighted by drought experts from around the world. The analysis shows that drought risk of rainfed and irrigated agricultural systems displays a heterogeneous pattern at the global level, with higher risk for southeastern Europe as well as northern and southern Africa. By providing information on the drivers and spatial patterns of drought risk in all dimensions of hazard, exposure and vulnerability, the presented analysis can support the identification of tailored measures to reduce drought risk and increase the resilience of agricultural systems."],["dc.identifier.doi","10.5194/nhess-20-695-2020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82128"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1684-9981"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Global-scale drought risk assessment for agricultural systems"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2022Journal Article [["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Earth's Future"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Karandish, Fatemeh"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Schyns, Joep F."],["dc.date.accessioned","2022-11-01T10:16:37Z"],["dc.date.available","2022-11-01T10:16:37Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1029/2021EF002095"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116613"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.eissn","2328-4277"],["dc.relation.issn","2328-4277"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc-nd/4.0/"],["dc.title","Agricultural Adaptation to Reconcile Food Security and Water Sustainability Under Climate Change: The Case of Cereals in Iran"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021-07-22Journal Article Research Paper [["dc.bibliographiccitation.artnumber","15022"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Karandish, Fatemeh"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Brugnach, Marcela"],["dc.date.accessioned","2021-09-01T06:42:21Z"],["dc.date.available","2021-09-01T06:42:21Z"],["dc.date.issued","2021-07-22"],["dc.description.abstract","Abstract Ending hunger and ensuring food security are among targets of 2030’s SDGs. While food trade and the embedded (virtual) water (VW) may improve food availability and accessibility for more people all year round, the sustainability and efficiency of food and VW trade needs to be revisited. In this research, we assess the sustainability and efficiency of food and VW trades under two food security scenarios for Iran, a country suffering from an escalating water crisis. These scenarios are (1) Individual Crop Food Security (ICFS), which restricts calorie fulfillment from individual crops and (2) Crop Category Food Security (CCFS), which promotes “eating local” by suggesting food substitution within the crop category. To this end, we simulate the water footprint and VW trades of 27 major crops, within 8 crop categories, in 30 provinces of Iran (2005–2015). We investigate the impacts of these two scenarios on (a) provincial food security (FS p ) and exports; (b) sustainable and efficient blue water consumption, and (c) blue VW export. We then test the correlation between agro-economic and socio-environmental indicators and provincial food security. Our results show that most provinces were threatened by unsustainable and inefficient blue water consumption for crop production, particularly in the summertime. This water mismanagement results in 14.41 and 8.45 billion m 3 y −1 unsustainable and inefficient blue VW exports under ICFS. “Eating local” improves the FS p value by up to 210% which lessens the unsustainable and inefficient blue VW export from hotspots. As illustrated in the graphical abstract, the FS p value strongly correlates with different agro-economic and socio-environmental indicators, but in different ways. Our findings promote “eating local” besides improving agro-economic and socio-environmental conditions to take transformative steps toward eradicating food insecurity not only in Iran but also in other countries facing water limitations."],["dc.description.abstract","Abstract Ending hunger and ensuring food security are among targets of 2030’s SDGs. While food trade and the embedded (virtual) water (VW) may improve food availability and accessibility for more people all year round, the sustainability and efficiency of food and VW trade needs to be revisited. In this research, we assess the sustainability and efficiency of food and VW trades under two food security scenarios for Iran, a country suffering from an escalating water crisis. These scenarios are (1) Individual Crop Food Security (ICFS), which restricts calorie fulfillment from individual crops and (2) Crop Category Food Security (CCFS), which promotes “eating local” by suggesting food substitution within the crop category. To this end, we simulate the water footprint and VW trades of 27 major crops, within 8 crop categories, in 30 provinces of Iran (2005–2015). We investigate the impacts of these two scenarios on (a) provincial food security (FS p ) and exports; (b) sustainable and efficient blue water consumption, and (c) blue VW export. We then test the correlation between agro-economic and socio-environmental indicators and provincial food security. Our results show that most provinces were threatened by unsustainable and inefficient blue water consumption for crop production, particularly in the summertime. This water mismanagement results in 14.41 and 8.45 billion m 3 y −1 unsustainable and inefficient blue VW exports under ICFS. “Eating local” improves the FS p value by up to 210% which lessens the unsustainable and inefficient blue VW export from hotspots. As illustrated in the graphical abstract, the FS p value strongly correlates with different agro-economic and socio-environmental indicators, but in different ways. Our findings promote “eating local” besides improving agro-economic and socio-environmental conditions to take transformative steps toward eradicating food insecurity not only in Iran but also in other countries facing water limitations."],["dc.identifier.doi","10.1038/s41598-021-93928-9"],["dc.identifier.pii","93928"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89035"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","2045-2322"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.title","Agro-economic and socio-environmental assessments of food and virtual water trades of Iran"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article Research Paper [["dc.bibliographiccitation.artnumber","147293"],["dc.bibliographiccitation.journal","Science of The Total Environment"],["dc.bibliographiccitation.volume","786"],["dc.contributor.author","Vulova, Stenka"],["dc.contributor.author","Meier, Fred"],["dc.contributor.author","Rocha, Alby Duarte"],["dc.contributor.author","Quanz, Justus"],["dc.contributor.author","Nouri, Hamideh"],["dc.contributor.author","Kleinschmit, Birgit"],["dc.date.accessioned","2021-06-01T10:49:54Z"],["dc.date.available","2021-06-01T10:49:54Z"],["dc.date.issued","2021"],["dc.description.abstract","As climate change progresses, urban areas are increasingly affected by water scarcity and the urban heat island effect. Evapotranspiration (ET) is a crucial component of urban greening initiatives of cities worldwide aimed at mitigating these issues. However, ET estimation methods in urban areas have so far been limited. An expanding number of flux towers in urban environments provide the opportunity to directly measure ET by the eddy covariance method. In this study, we present a novel approach to model urban ET by combining flux footprint modeling, remote sensing and geographic information system (GIS) data, and deep learning and machine learning techniques. This approach facilitates spatio-temporal extrapolation of ET at a half-hourly resolution; we tested this approach with a two-year dataset from two flux towers in Berlin, Germany. The benefit of integrating remote sensing and GIS data into models was investigated by testing four predictor scenarios. Two algorithms (1D convolutional neural networks (CNNs) and random forest (RF)) were compared. The best-performing models were then used to model ET values for the year 2019. The inclusion of GIS data extracted using flux footprints enhanced the predictive accuracy of models, particularly when meteorological data was more limited. The best-performing scenario (meteorological and GIS data) showed an RMSE of 0.0239 mm/h and R2 of 0.840 with RF and an RMSE of 0.0250 mm/h and a R2 of 0.824 with 1D CNN for the more vegetated site. The 2019 ET sum was substantially higher at the site surrounded by more urban greenery (366 mm) than at the inner-city site (223 mm), demonstrating the substantial influence of vegetation on the urban water cycle. The proposed method is highly promising for modeling ET in a heterogeneous urban environment and can support climate change mitigation initiatives of urban areas worldwide."],["dc.identifier.doi","10.1016/j.scitotenv.2021.147293"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86457"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.issn","0048-9697"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI